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A Trial of Lenvatinib (E7080) in Subjects With Iodine-131 Refractory Differentiated Thyroid Cancer to Evaluate Whether an Oral Starting Dose of 18 Milligram (mg) Daily Will Provide Comparable Efficacy to a 24 mg Starting Dose, But Have a Better Safety Profile

A Multicenter, Randomized, Double-Blind Phase 2 Trial of Lenvatinib (E7080) in Subjects With 131I-Refractory Differentiated Thyroid Cancer to Evaluate Whether an Oral Starting Dose of 18 mg Daily Will Provide Comparable Efficacy to a 24-mg Starting Dose, But Have a Better Safety Profile

Status
Completed
Phases
Phase 2
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02702388
Enrollment
241
Registered
2016-03-08
Start date
2017-06-08
Completion date
2020-09-10
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Thyroid Cancer

Keywords

Lenvatinib, E7080, Iodine-131 Refractory Differentiated Thyroid Cancer, Lenvima, Phase 2, RR-DTC

Brief summary

This is a multicenter, randomized, double-blind study being conducted as a postmarketing requirement to the US Food and Drug Administration (FDA) to evaluate whether there is a lower starting dosage of lenvatinib 24 mg once daily (QD) that provides comparable efficacy but has a better safety profile in participants with radioiodine-refractory differentiated thyroid cancer RR-DTC with radiographic evidence of disease progression within the prior 12 months.

Detailed description

This study consists of 2 phases, the Prerandomization Phase and the Randomization Phase. The Prerandomization Phase will last no longer than 28 days and will include a Screening Period to establish protocol eligibility and a Baseline Period to confirm eligibility and establish disease characteristics prior to randomization and treatment. The Randomization Phase will consist of a Treatment Period and a Follow-up Period. It will begin at the time of randomization of the first participant and will consist of 28-day blinded study treatment cycles. The data cutoff for the primary analysis will occur at the end of the Randomization Phase, which is defined as when the last participant enrolled completes the Week 24 tumor assessments or discontinues study treatment if before Week 24. Participants on treatment at the time of data cutoff for the primary analysis will remain on blinded investigational product until the primary analysis has been completed, after which they will transition to commercial lenvatinib outside the study. The last participant's last assessment (Off-treatment visit) will be the End of Study. Participants will be randomly assigned to treatment with 1 of 2 blinded starting dosages of lenvatinib in a 1:1 ratio to receive lenvatinib 18 mg or 24 mg orally once daily (QD). Dose reductions will occur in succession based on the previous dose level (24, 20, 14, 10, and 8 mg QD, or 18, 14, 10, 8, and 4 mg QD, respectively). Once the dose has been reduced, it may not be increased at a later date.

Interventions

DRUGLenvatinib

Lenvatinib capsule.

DRUGLenvatinib matching placebo

Lenvatinib matching placebo capsule.

Sponsors

Merck Sharp & Dohme LLC
CollaboratorINDUSTRY
Eisai Inc.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Investigator)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Participants must have histologically or cytologically confirmed diagnosis of one of the following differentiated thyroid cancer (DTC) subtypes: 1. Papillary thyroid cancer (PTC) * Follicular variant * Variants (including but not limited to tall cell, columnar cell, cribriform-morular, solid, oxyphil, Warthin's-like, trabecular, tumor with nodular fasciitis-like stroma, Hürthle cell variant of papillary carcinoma, poorly differentiated) 2. Follicular thyroid cancer (FTC) * Hurthle cell * Clear cell * Insular 2. Measurable disease meeting the following criteria and confirmed by central radiographic review: 1. At least 1 lesion of greater than or equal to (\>=)1.0 centimeter (cm) in the longest diameter for a non-lymph node or \>=1.5 cm in the short-axis diameter for a lymph node that is serially measurable according to Response Evaluation Criteria in Solid Tumors (RECIST 1.1) using computed tomography/magnetic resonance imaging (CT/MRI). If there is only 1 target lesion and it is a non-lymph node, it should have a longest diameter of \>=1.5 cm. 2. Lesions that have had external beam radiotherapy (EBRT) or locoregional therapies such as radiofrequency (RF) ablation must show evidence of progressive disease based on RECIST 1.1 to be deemed a target lesion. 3. Participants must show evidence of disease progression within 12 months (an additional month will be allowed to accommodate actual dates of performance of screening scans, that is, within less than or equal to \<=13 months) prior to signing informed consent, according to RECIST 1.1 assessed and confirmed by central radiographic review of CT and/or MRI scans. 4. Participants must be Iodine-131 refractory/resistant as defined by at least one of the following: 1. One or more measurable lesions that do not demonstrate iodine uptake on any radioiodine scan. 2. One or more measurable lesions that have progressed according to RECIST 1.1 within 12 months (an additional month will be allowed to accommodate actual dates of performance of screening scans, ie, within ≤13 months) after Iodine-131 therapy, despite demonstration of radioiodine avidity at the time of that treatment by pre- or posttreatment scanning. These participants must not be eligible for possible curative surgery. 3. Cumulative activity of Iodine-131 of greater than (\>) 600 millicurie (mCi) or 22 gigabecquerels (GBq), with the last dose administered at least 6 months prior to study entry. 5. Participants with known brain metastases who have completed whole brain radiotherapy, stereotactic radiosurgery or complete surgical resection, will be eligible if they have remained clinically stable, asymptomatic, and off steroids for one month. 6. Participants must be receiving thyroxine suppression therapy and thyroid stimulating hormone (TSH) should not be elevated (TSH should be \<=5.50 micro-international units per liter \[mcIU/ML\]). When tolerated by the participant, thyroxine dose should be changed to achieve TSH suppression (TSH \<0.50 mcIU/ML) and this dose may be changed concurrently upon starting study drug treatment. 7. All chemotherapy or radiation-related toxicities must have resolved to Grade \<2 severity per Common Terminology Criteria for Adverse Events (CTCAE v4.03), except alopecia and infertility. 8. Participants must have an Eastern Cooperative Oncology Group (ECOG) Performance Status of 0, 1, or 2. 9. Adequately controlled blood pressure (BP) with or without antihypertensive medications, defined as BP ≤150/90 mmHg at Screening and no change in antihypertensive medications within 1 week prior to Cycle 1/Day 1. 10. Adequate renal function defined as calculated creatinine clearance \>=30 mL/min per the Cockcroft and Gault formula. 11. Adequate bone marrow function: 1. Absolute neutrophil count (ANC) \>=1500/mm\^3 (\>=1.5\*10\^3/uL) 2. Platelets \>=100,000/mm\^3 (\>=100\*10\^9/L) 3. Hemoglobin \>=9.0 g/dL 12. Adequate blood coagulation function as evidenced by an International Normalized Ratio (INR) \<=1.5. 13. Adequate liver function: 1. Bilirubin \<=1.5\*upper limit of normal (ULN) except for unconjugated hyperbilirubinemia or Gilbert's syndrome. 2. Alkaline phosphatase, alanine aminotransferase (ALT), and aspartate aminotransferase (AST) \<=3\*ULN (\<=5\*ULN if participant has liver metastases). If alkaline phosphatase is \>3\*ULN (in absence of liver metastases) or \>5\*ULN (in presence of liver metastases) AND the participant also is known to have bone metastases, the liver-specific alkaline phosphatase must be separated from the total and used to assess the liver function instead of total alkaline phosphatase. 14. Males or females age \>=18 years at the time of informed consent. 15. Females must not be lactating or pregnant at Screening or Baseline (as documented by a negative beta-human chorionic gonadotropin \[B-hCG\] test with a minimum sensitivity of 25 IU/L or equivalent units of B-hCG. A separate baseline assessment is required if a negative screening pregnancy test was obtained more than 72 hours before the first dose of study drug. 16. All females will be considered to be of childbearing potential unless they are postmenopausal (amenorrheic for at least 12 consecutive months, in the appropriate age group and without other known or suspected cause) or have been sterilized surgically (ie, bilateral tubal ligation, total hysterectomy or bilateral oophorectomy, all with surgery at least 1 month before dosing). 17. Females of childbearing potential should avoid becoming pregnant and use highly effective contraception while on treatment with lenvatinib and for at least 1 month after finishing treatment. Females of childbearing potential must not have had unprotected sexual intercourse within 30 days before study entry and must agree to use a highly effective method of contraception (example, total abstinence, an intrauterine device, a contraceptive implant, an oral contraceptive, or have a vasectomized partner with confirmed azoospermia) throughout the entire study period and for 30 days after study drug discontinuation. Females who are using hormonal contraceptives must have been on a stable dose of the same hormonal contraceptive product for at least 4 weeks before dosing and must continue to use the same contraceptive during the study and for 30 days after study drug discontinuation. Women using oral hormonal contraceptives should add a barrier method. 18. Participants must voluntarily agree to provide written informed consent. 19. Participants must be willing and able to comply with all aspects of the protocol.

Exclusion criteria

1. Anaplastic or medullary carcinoma of the thyroid. 2. Diagnosed with meningeal carcinomatosis. 3. Two or more prior vascular endothelial growth factor (VEGF)/vascular endothelial growth factor receptor (VEGFR)-targeted therapies or any ongoing treatment for RR-DTC other than TSH-suppressive thyroid hormone therapy. 4. Prior treatment with lenvatinib. 5. Participants who have received any anticancer treatment within 21 days or any investigational agent within 30 days (or 5 half-lives) prior to the first dose of study drug and should have recovered from any toxicity related to previous anticancer treatment. This does not apply to the use of TSH suppressive thyroid hormone therapy. 6. Major surgery (example, laparotomy, thoracotomy or joint replacement) within 3 weeks prior to randomization or elective surgery scheduled to be performed during the study. 7. Participants having \>1+ proteinuria on urine dipstick testing will undergo 24-hour urine collection for quantitative assessment of proteinuria. Participants with urine protein \>=1 g/24 h will be ineligible. 8. Gastrointestinal malabsorption or any other condition that in the opinion of the investigator might affect the absorption of study drug. 9. Significant cardiovascular impairment: history of congestive heart failure greater than New York Heart Association (NYHA) Class II, unstable angina, myocardial infarction or cerebral vascular accident within 6 months of the first dose of study drug, or cardiac arrhythmia associated with hemodynamic instability. 10. Prolongation of corrected QT interval (QTc) to \>480 ms as demonstrated by a repeated electrocardiogram (ECG) or a clinically significant ECG abnormality, including a marked prolonged QT/QTc interval (example, a repeated demonstration of a QTc interval \>500 ms). 11. Active hemoptysis (bright red blood of at least 0.5 teaspoon) within 3 weeks prior to the first dose of study drug. 12. Active infection (any infection requiring treatment). 13. Active malignancy (except for DTC or definitively treated melanoma in-situ, basal or squamous cell carcinoma of the skin, or carcinoma in-situ of the cervix) within the past 24 months. 14. Bleeding or thrombotic disorders. 15. Known intolerance to study drug (or any of the excipients). 16. Any medical or other condition that in the opinion of the investigator(s) would preclude the participant's participation in a clinical study. 17. Females who are pregnant or breastfeeding.

Design outcomes

Primary

MeasureTime frameDescription
Objective Response Rate (ORR) as of Week 24 (ORR24wk)From the date of randomization up to Week 24ORR as of Week 24 was defined as the percentage of participants with best overall response (BOR) of complete response (CR) or partial response (PR) as of the Week 24 time point or earlier, as measured by Response Evaluation Criteria in Solid Tumors Version 1.1 (RECIST 1.1). CR: was disappearance of all target lesions. Any pathological lymph nodes (target or non-target) had to be reduced in short axis to less than (\<) 10 millimeter (mm). PR: was at least a 30 percent (%) decrease in sum of diameter (SOD) of target lesions, taking as reference the baseline SOD.
Percentage of Participants With Grade 3 or Higher Treatment-emergent Adverse Events (TEAEs) in the First 24 WeeksBaseline up to Week 24This outcome measure reports TEAEs in the first 24 weeks only. A TEAE was defined as any adverse event (AE) that had an onset date on or after the first dose of study drug up to 28 days following the last dose of study drug, or a worsening in severity from Baseline (pretreatment). In addition, if an AE reemerged during treatment, having been present at pretreatment (Baseline) but stopped before treatment, it was also counted as a TEAE. A severity grade was defined by the Common Terminology Criteria for Adverse Events (CTCAE) Version 4.03. As per CTCAE, Grade 1 scales as Mild; Grade 2 scales as Moderate; Grade 3 scales as severe or medically significant but not immediately life threatening; Grade 4 scales as life-threatening consequences; and Grade 5 scales as death related to AE.

Secondary

MeasureTime frameDescription
Number of Participants With TEAE and Serious Adverse Events (SAEs)From date of first administration of study drug up to 28 days after last dose of study drug up to approximately 3 years 3 monthsTEAEs were defined as those AEs that occurred (or worsened, if present at Baseline) after the first dose of study drug through 28 days after the last dose of study drug. An AE was defined as any untoward medical occurrence in a participants or clinical investigation participant administered an investigational product. An AE does not necessarily have a causal relationship with medicinal product. SAE was defined as any AE if it resulted in death or life-threatening AE or required inpatient hospitalization or prolongation of existing hospitalization or resulted in persistent or significant incapacity or substantial disruption of the ability to conduct normal life functions or was a congenital anomaly/birth defect.
Time to Treatment Discontinuation Due to an Adverse Event (AE)From date of first administration of study drug up to approximately 2 years 6 monthsTime to Treatment Discontinuation due to an AE (such as abdominal distention, appendicitis perforated, arthralgia, anemia, etc) was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.
Number of Dose ReductionsFrom date of first administration of study drug up to approximately 2 years 6 monthsNumber of dose reduction was reported as number of participants who underwent one or more number of dose reductions. As planned, data for this endpoint was analyzed and collected till Primary completion date.
Time to First Dose ReductionFrom date of first administration of study drug up to approximately 2 years 6 monthsTime to First Dose Reduction was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.
Model Predicted Apparent Total Clearance (CL/F) Following Oral Dosing of LenvatinibCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)Sparse pharmacokinetic (PK) samples (approximately 9 per participant) were collected and analyzed using a population PK approach to estimate PK parameters. Lenvatinib total plasma concentration data were pooled with data from studies E7080-G000-303 (NCT01321554) and E7080-G000-201 (NCT00784303), and a population PK model was applied to the pooled dataset. Individual predicted CL/F for lenvatinib was then derived from the PK model by starting dose.
Model Predicted Area Under the Plasma Drug Concentration-time Curve (AUC) for LenvatinibCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)Sparse PK samples (approximately 9 per participant) were collected and analyzed using a population PK approach to estimate PK parameters. Lenvatinib total plasma concentration data were pooled with data from studies E7080-G000-303 (NCT01321554) and E7080-G000-201 (NCT00784303), and a population PK model was applied to the pooled dataset. Individual predicted AUC for lenvatinib was then derived from the PK model by starting dose.
Parameter Estimates From the Population Pharmacokinetic/Pharmacodynamic (PK/PD) Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Thyroglobulin LevelsCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)The relationship between exposure to lenvatinib and change from baseline in thyroglobulin was planned to be analyzed using a model-based approach.
Parameter Estimates From the Population Pharmacokinetic/Pharmacodynamic (PK/PD) Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Thyroid-Stimulating Hormone (TSH) LevelsCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)The relationship between exposure to lenvatinib and change from baseline in TSH was planned to be analyzed using a model-based approach.
Baseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) LevelsCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, baseline level estimates were determined separately for each biomarker. The data presented are the model predicted baseline estimates, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modelling.
Mean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, MRT estimates were determined separately for each biomarker. The data presented are the model predicted MRT estimates, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modelling.
Hill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsCycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, Hill Coefficient estimates were determined separately for each biomarker. The data presented are the model predicted Hill Coefficient estimates, with Measure Type Number. They are population PK/PD model predictions and (&) have been estimated using non-linear mixed effects modelling.
Parameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Baseline up to week 120Per the planned analysis, Arms/Groups were combined & tumor-growth inhibition models based on lenvatinib & placebo data from this study combined with study NCT01321554. Effects of tumor growth rate, drug effects, tumor resistance, & tumor size reduction related to biomarker response were assessed. Longitudinal data of sum of the longest diameter for target lesion by investigator assessment in this study & independent reviewer assessment in study NCT01321554 were used. Changes in Ang-2 & soluble Tie-2 were evaluated, individually & in combination for their impact on tumor size. The concomitant use of lenvatinib & biomarker changes due to drug effects as predictors of tumor size were also evaluated. The final integrated model for tumor growth & biomarkers included effects of lenvatinib exposure & tumor growth reduction related to Tie-2 & Ang-2 biomarkers as significant predictors. Data presented are the parameters defining this non-linear mixed effects model, with Measure Type Number.
Lenvatinib Mean AUC Resulting in 50% of the Emax (EC50) Estimate From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Baseline up to week 120Per the planned analysis, Arms/Groups were combined & tumor-growth inhibition models based on lenvatinib & placebo data from this study combined with study NCT01321554. Effects of tumor growth rate, drug effects, tumor resistance, & tumor size reduction related to biomarker response were assessed. Longitudinal data of the sum of the longest diameter for target lesion by investigator assessment in this study & independent reviewer assessment in study NCT01321554 were used. Changes in Ang-2 & soluble Tie-2 were evaluated, individually & in combination for their impact on tumor size. The concomitant use of lenvatinib & biomarker changes due to drug effects as predictors of tumor size were also evaluated. The final integrated model for tumor growth & biomarkers included effects of lenvatinib exposure & tumor growth reduction related to Tie-2 & Ang-2 biomarkers as significant predictors. Data presented are EC50 estimated using non-linear mixed effects modeling, with Measure Type Number.
Scale Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSTime from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 monthsPer planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate the probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors were retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are scale factor estimated using non-linear mixed effects modeling, with Measure Type Number.
Progression-free Survival (PFS)Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurs first up to approximately 2 years 6 monthsPFS, defined as the time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurs first, as measured by RECIST V1.1. PD: 20% increase in the sum of the pertinent diameters (SOD) of target lesions, taking as reference the smallest sum SOD recorded since the treatment started or the appearance of one or more new lesions. PFS was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.
Lenvatinib AUC Exposure Effect Estimate for Final Parametric Time to Event PK/PD Model for PFSTime from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 monthsPer planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are AUC exposure effect estimated using non-linear mixed effects modeling, with Measure Type Number.
Predicted Percent Change in Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFSTime from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 monthsPer planned analysis, Arms/Groups were combined & PK/PD analysis for PFS based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from univariate analysis were added to the model simultaneously & significant predictors retained according to backward exclusion criteria (log likelihood ratio test, p-value = 0.001). Data presented are the predicted change in tumor size estimated using non-linear mixed effects modeling, with Measure Type Number.
Baseline Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFSTime from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 monthsPer planned analysis Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with E7080-G000-303(NCT01321554).Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots.Parametric survival model(proportional hazard model)with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression as function of covariates including baseline disease characteristics,demographics,lenvatinib exposure,changes in biomarker time profiles,model predicted change from baseline tumor size & change in tumor size time-profiles.Significant(p\<0.01)covariates from univariate analysis were added to model simultaneously & significant predictors retained as per backward exclusion criteria(log likelihood ratio test,p-value of 0.001).Data presented are predicted baseline tumor size from the model with Measure Type Numberestimated using non-linear mixed effects modelling.
Input Rate Indirect Effect Model Estimate From Base/Final PK/PD Blood Pressure ModelFrom date of first administration of study drug up to 6 monthsPer the planned analysis, Arms/Groups were combined and population PK/PD analysis for blood pressure was based on lenvatinib and placebo pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The effect of lenvatinib exposure (AUC) at the time of blood pressure assessment on systolic and diastolic blood pressure was tested as a simultaneous indirect model where lenvatinib AUC was linked to the input rate of the indirect effect model by a linear slope factor function. Based on the results from model development, an indirect PK/PD model with a linear effect of lenvatinib exposure on both systolic and diastolic blood pressure was selected as the base model for subsequent univariate analysis. The data presented are the input rate indirect effect model estimate, with Measure Type Number. They are population PK/PD model predictions and have been estimated using mixed effects non-linear modeling.
Drug Effect on Systolic and Diastolic Input Rate Estimates From Base/Final PK/PD Blood Pressure ModelFrom date of first administration of study drug up to 6 monthsPer the planned analysis, Arms/Groups were combined and population PK/PD analysis for blood pressure was based on lenvatinib and placebo pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The effect of lenvatinib exposure (AUC) at the time of blood pressure assessment on systolic and diastolic blood pressure was tested as a simultaneous indirect model where lenvatinib AUC was linked to the input rate of the indirect effect model by a linear slope factor function. Based on the results from model development, an indirect PK/PD model with a linear effect of lenvatinib exposure on both systolic and diastolic blood pressure was selected as the base model for subsequent univariate analysis. The data presented are the input rate indirect effect model estimate, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modeling.
Number of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE weight decreased was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE weight decreased and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Hypertension Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined & a population PK/PD analysis of the relationship between lenvatinib exposure & occurrence of the TEAE hypertension was based on placebo & lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE hypertension & lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, & random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE & a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate), Grade 3 (severe or medically significant) or Grade 4 (life-threatening consequences) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE proteinuria was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE proteinuria and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate), or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Fatigue Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE fatigue was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE fatigue and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE diarrhea was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE diarrhea and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Nausea Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE nausea was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE nausea and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Number of Participants With Vomiting Stratified by AUC Quartile (Q) GroupUp to 3 years 3 monthsPer the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE vomiting was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE vomiting and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.
Change From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)Baseline, Week 8, 16, and 24The EQ-5D-3L is a health profile questionnaire assessing quality of life along 5 dimensions. Participants rate 5 dimensions of health (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) by choosing from 3 answering options (1=no problems; 2=some problems; 3=extreme problems). The summed score ranges from 5-15 with 5 corresponding to no problems and 15 corresponding to severe problems in the 5 dimensions. EQ-5D-3L also included an EQ visual analogue scale (VAS) that ranges between 100 (best imaginable health) and 0 (worst imaginable health). Decrease from baseline in EQ-5D-3L signifies improvement. Total index EQ-5D-3L summary score was weighted with a range of -0.594 (worst) to 1.0 (best). EQ-5D-3L also included an EQ health utilities index (HUI) where 1 indicated full health while a score of 0 indicated worst health/death.
Change From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreBaseline, Week 8, 16 and 24The FACT-G is a 27-item questionnaire that measures the effect of cancer treatment on quality of life that has four areas of measurements (physical well-being, social/family well-being, emotional well-being and functional well-being). Each item has a 5-point scale response set (0: not at all; 1: a little bit; 2: somewhat; 3: quite a bit; and 4: very much). The FACT-G total score ranges between 0 and 108. Higher score indicates better quality of life.
Shape Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSTime from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 monthsPer planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate the probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors were retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are shape factor estimated using non-linear mixed effects modeling, with Measure Type Number.
PFS After Next Line of Treatment (PFS2)Time from randomization to PD on next-line treatment or death from any cause, whichever occurs first up to approximately 2 years 6 monthsPFS2, defined as the time from randomization to PD on next-line treatment, or death from any cause, whichever occurred first, as measured by RECIST V1.1. PD: 20% increase in the SOD of target lesions, taking as reference the smallest sum SOD recorded since the treatment started or the appearance of one or more new lesions. PFS was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Countries

Australia, Belgium, Canada, Denmark, France, Germany, Israel, Italy, Poland, Romania, Russia, South Korea, Spain, Sweden, United Kingdom, United States

Participant flow

Recruitment details

Participants took part in the study at 38 investigative sites in the North America, Europe, Russia, Australia, and Asia. As planned, the study was unblinded after the primary analysis was completed and all participants were treated with open-label lenvatinib at their current dose level at the discretion of the investigator until they were transitioned to commercially available lenvatinib.

Pre-assignment details

A total of 241 participants were screened and enrolled of which 89 participants were screen failures, and 152 participants were randomized and treated.

Participants by arm

ArmCount
Lenvatinib 24 mg
Participants received lenvatinib 24 mg, capsule, orally, once daily in a 28-day treatment cycle until PD, development of unacceptable toxicity, participant requested to discontinue treatment, withdrew consent or lost to follow-up, until the end of the study, or until study termination by the sponsor, whichever occurred first (up to 35 months). To maintain blinded treatment assignment, participants received a total of 4 capsules in the form of two 10-mg capsules and one 4-mg capsule containing lenvatinib and one 4-mg placebo capsule.
75
Lenvatinib 18 mg
Participants received lenvatinib 18 mg, capsule, orally, once daily in a 28-day treatment cycle until PD, development of unacceptable toxicity, participant requested to discontinue treatment, withdrew consent or lost to follow-up, until the end of the study, or until study termination by the sponsor, whichever occurred first (up to 35 months). To maintain blinded treatment assignment, participants received a total of 4 capsules in the form of one 10-mg capsule and two 4-mg capsules containing lenvatinib and one 10-mg placebo capsule.
77
Total152

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyAdverse Event1115
Overall StudyDisease Progression1825
Overall StudyOther24
Overall StudyWithdrawal by Subject97

Baseline characteristics

CharacteristicLenvatinib 18 mgTotalLenvatinib 24 mg
Age, Continuous64.4 years
STANDARD_DEVIATION 11.79
64.4 years
STANDARD_DEVIATION 11.18
64.3 years
STANDARD_DEVIATION 10.58
Ethnicity (NIH/OMB)
Hispanic or Latino
4 Participants7 Participants3 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
67 Participants138 Participants71 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
6 Participants7 Participants1 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
11 Participants22 Participants11 Participants
Race (NIH/OMB)
Black or African American
2 Participants5 Participants3 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1 Participants1 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
23 Participants38 Participants15 Participants
Race (NIH/OMB)
White
40 Participants86 Participants46 Participants
Sex: Female, Male
Female
40 Participants74 Participants34 Participants
Sex: Female, Male
Male
37 Participants78 Participants41 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
11 / 7519 / 77
other
Total, other adverse events
75 / 7576 / 77
serious
Total, serious adverse events
26 / 7535 / 77

Outcome results

Primary

Objective Response Rate (ORR) as of Week 24 (ORR24wk)

ORR as of Week 24 was defined as the percentage of participants with best overall response (BOR) of complete response (CR) or partial response (PR) as of the Week 24 time point or earlier, as measured by Response Evaluation Criteria in Solid Tumors Version 1.1 (RECIST 1.1). CR: was disappearance of all target lesions. Any pathological lymph nodes (target or non-target) had to be reduced in short axis to less than (\<) 10 millimeter (mm). PR: was at least a 30 percent (%) decrease in sum of diameter (SOD) of target lesions, taking as reference the baseline SOD.

Time frame: From the date of randomization up to Week 24

Population: FAS included all participants randomly assigned to treatment.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgObjective Response Rate (ORR) as of Week 24 (ORR24wk)57.3 percentage of participants
Lenvatinib 18 mgObjective Response Rate (ORR) as of Week 24 (ORR24wk)40.3 percentage of participants
95% CI: [0.26, 0.96]
Primary

Percentage of Participants With Grade 3 or Higher Treatment-emergent Adverse Events (TEAEs) in the First 24 Weeks

This outcome measure reports TEAEs in the first 24 weeks only. A TEAE was defined as any adverse event (AE) that had an onset date on or after the first dose of study drug up to 28 days following the last dose of study drug, or a worsening in severity from Baseline (pretreatment). In addition, if an AE reemerged during treatment, having been present at pretreatment (Baseline) but stopped before treatment, it was also counted as a TEAE. A severity grade was defined by the Common Terminology Criteria for Adverse Events (CTCAE) Version 4.03. As per CTCAE, Grade 1 scales as Mild; Grade 2 scales as Moderate; Grade 3 scales as severe or medically significant but not immediately life threatening; Grade 4 scales as life-threatening consequences; and Grade 5 scales as death related to AE.

Time frame: Baseline up to Week 24

Population: Safety analysis set included all participants randomly assigned to treatment and who received at least 1 dose of study drug.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgPercentage of Participants With Grade 3 or Higher Treatment-emergent Adverse Events (TEAEs) in the First 24 Weeks61.3 percentage of participants
Lenvatinib 18 mgPercentage of Participants With Grade 3 or Higher Treatment-emergent Adverse Events (TEAEs) in the First 24 Weeks57.1 percentage of participants
Secondary

Baseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) Levels

Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, baseline level estimates were determined separately for each biomarker. The data presented are the model predicted baseline estimates, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modelling.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK/PD analysis was performed for differentiated thyroid cancer (DTC) participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and current study E7080-G000-211 and provided both PK data for lenvatinib and baseline and post-dose serum biomarkers samples. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure and number analyzed signifies participants who were evaluable for given categories.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgBaseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) LevelsVEGF0.370 nanogram per liter (ng/L)
Lenvatinib 24 mgBaseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) LevelsTie-214.6 nanogram per liter (ng/L)
Lenvatinib 24 mgBaseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) LevelsAng-23.36 nanogram per liter (ng/L)
Lenvatinib 24 mgBaseline Level Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Vascular Endothelial Growth Factor (VEGF), Soluble Tie-2, Angiopoietin-2 (Ang-2) and Fibroblast Growth Factor-23 (FGF23) LevelsFGF230.0990 nanogram per liter (ng/L)
Secondary

Baseline Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFS

Per planned analysis Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with E7080-G000-303(NCT01321554).Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots.Parametric survival model(proportional hazard model)with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression as function of covariates including baseline disease characteristics,demographics,lenvatinib exposure,changes in biomarker time profiles,model predicted change from baseline tumor size & change in tumor size time-profiles.Significant(p\<0.01)covariates from univariate analysis were added to model simultaneously & significant predictors retained as per backward exclusion criteria(log likelihood ratio test,p-value of 0.001).Data presented are predicted baseline tumor size from the model with Measure Type Numberestimated using non-linear mixed effects modelling.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 months

Population: PK/PD analysis for PFS was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgBaseline Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFS-0.00547 per millimeter (/mm)
Secondary

Change From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)

The EQ-5D-3L is a health profile questionnaire assessing quality of life along 5 dimensions. Participants rate 5 dimensions of health (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) by choosing from 3 answering options (1=no problems; 2=some problems; 3=extreme problems). The summed score ranges from 5-15 with 5 corresponding to no problems and 15 corresponding to severe problems in the 5 dimensions. EQ-5D-3L also included an EQ visual analogue scale (VAS) that ranges between 100 (best imaginable health) and 0 (worst imaginable health). Decrease from baseline in EQ-5D-3L signifies improvement. Total index EQ-5D-3L summary score was weighted with a range of -0.594 (worst) to 1.0 (best). EQ-5D-3L also included an EQ health utilities index (HUI) where 1 indicated full health while a score of 0 indicated worst health/death.

Time frame: Baseline, Week 8, 16, and 24

Population: FAS included all participants randomly assigned to treatment.

ArmMeasureGroupValue (MEAN)Dispersion
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Baseline0.8 score on a scaleStandard Deviation 0.17
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 8-0.1 score on a scaleStandard Deviation 0.19
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 16-0.1 score on a scaleStandard Deviation 0.2
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 24-0.1 score on a scaleStandard Deviation 0.17
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Baseline71.1 score on a scaleStandard Deviation 19.12
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 8-6.2 score on a scaleStandard Deviation 15.71
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 16-6.3 score on a scaleStandard Deviation 17.08
Lenvatinib 24 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 24-3.1 score on a scaleStandard Deviation 12.95
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 24-5.1 score on a scaleStandard Deviation 23.41
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Baseline0.8 score on a scaleStandard Deviation 0.23
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Baseline69.2 score on a scaleStandard Deviation 21.29
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 80.0 score on a scaleStandard Deviation 0.15
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 16-9.8 score on a scaleStandard Deviation 17.82
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 16-0.1 score on a scaleStandard Deviation 0.22
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-VAS; Change at week 8-1.4 score on a scaleStandard Deviation 19.46
Lenvatinib 18 mgChange From Baseline in the Health-Related Quality of Life (HRQoL) Assessed by European Quality of Life (EuroQol) Five-Dimensional, 3-Level (EQ-5D-3L) Index Score and Visual Analogue Scale (VAS)EQ-HUI; Change at week 24-0.1 score on a scaleStandard Deviation 0.19
Secondary

Change From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total Score

The FACT-G is a 27-item questionnaire that measures the effect of cancer treatment on quality of life that has four areas of measurements (physical well-being, social/family well-being, emotional well-being and functional well-being). Each item has a 5-point scale response set (0: not at all; 1: a little bit; 2: somewhat; 3: quite a bit; and 4: very much). The FACT-G total score ranges between 0 and 108. Higher score indicates better quality of life.

Time frame: Baseline, Week 8, 16 and 24

Population: FAS included all participants randomly assigned to treatment.

ArmMeasureGroupValue (MEAN)Dispersion
Lenvatinib 24 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreAt Baseline81.1 score on a scaleStandard Deviation 16.18
Lenvatinib 24 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 8-3.0 score on a scaleStandard Deviation 12.26
Lenvatinib 24 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 16-4.5 score on a scaleStandard Deviation 12.64
Lenvatinib 24 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 24-6.3 score on a scaleStandard Deviation 15.49
Lenvatinib 18 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 24-1.5 score on a scaleStandard Deviation 16.74
Lenvatinib 18 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreAt Baseline77.8 score on a scaleStandard Deviation 16.04
Lenvatinib 18 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 16-3.8 score on a scaleStandard Deviation 14.75
Lenvatinib 18 mgChange From Baseline in the HRQoL Assessed by Functional Assessment of Cancer Therapy-General (FACT-G) Total ScoreChange at Week 8-1.3 score on a scaleStandard Deviation 13.31
Secondary

Drug Effect on Systolic and Diastolic Input Rate Estimates From Base/Final PK/PD Blood Pressure Model

Per the planned analysis, Arms/Groups were combined and population PK/PD analysis for blood pressure was based on lenvatinib and placebo pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The effect of lenvatinib exposure (AUC) at the time of blood pressure assessment on systolic and diastolic blood pressure was tested as a simultaneous indirect model where lenvatinib AUC was linked to the input rate of the indirect effect model by a linear slope factor function. Based on the results from model development, an indirect PK/PD model with a linear effect of lenvatinib exposure on both systolic and diastolic blood pressure was selected as the base model for subsequent univariate analysis. The data presented are the input rate indirect effect model estimate, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modeling.

Time frame: From date of first administration of study drug up to 6 months

Population: For PK/PD analyses of blood pressure, participants received lenvatinib in studies E7080-G000-211, E7080-G000-201 (NCT00784303) and E7080-G000-303 (NCT01321554), with PK information and who had at least one post-baseline evaluation, and participants received placebo in study E7080-G000-303 were included. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgDrug Effect on Systolic and Diastolic Input Rate Estimates From Base/Final PK/PD Blood Pressure ModelDrug effect on systolic input rate12.0 per nanogram*hour per mL*10^6
Lenvatinib 24 mgDrug Effect on Systolic and Diastolic Input Rate Estimates From Base/Final PK/PD Blood Pressure ModelDrug effect on diastolic input rate21.1 per nanogram*hour per mL*10^6
Secondary

Hill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 Levels

Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, Hill Coefficient estimates were determined separately for each biomarker. The data presented are the model predicted Hill Coefficient estimates, with Measure Type Number. They are population PK/PD model predictions and (&) have been estimated using non-linear mixed effects modelling.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK/PD analysis was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and current study E7080-G000-211 and provided both PK data for lenvatinib and baseline and post-dose serum biomarkers samples. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure and number analyzed signifies participants who were evaluable for given categories.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgHill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsVEGF1.00 unitless
Lenvatinib 24 mgHill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsTie-20.313 unitless
Lenvatinib 24 mgHill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsAng-24.27 unitless
Lenvatinib 24 mgHill Coefficient Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsFGF231.00 unitless
Secondary

Input Rate Indirect Effect Model Estimate From Base/Final PK/PD Blood Pressure Model

Per the planned analysis, Arms/Groups were combined and population PK/PD analysis for blood pressure was based on lenvatinib and placebo pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The effect of lenvatinib exposure (AUC) at the time of blood pressure assessment on systolic and diastolic blood pressure was tested as a simultaneous indirect model where lenvatinib AUC was linked to the input rate of the indirect effect model by a linear slope factor function. Based on the results from model development, an indirect PK/PD model with a linear effect of lenvatinib exposure on both systolic and diastolic blood pressure was selected as the base model for subsequent univariate analysis. The data presented are the input rate indirect effect model estimate, with Measure Type Number. They are population PK/PD model predictions and have been estimated using mixed effects non-linear modeling.

Time frame: From date of first administration of study drug up to 6 months

Population: For PK/PD analyses of blood pressure, participants received lenvatinib in studies E7080-G000-211, E7080-G000-201 (NCT00784303) and E7080-G000-303 (NCT01321554), with PK information and who had at least one post-baseline evaluation, and participants received placebo in study E7080-G000-303 were included. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgInput Rate Indirect Effect Model Estimate From Base/Final PK/PD Blood Pressure Model2.76 millimeters of mercury per hour
Secondary

Lenvatinib AUC Exposure Effect Estimate for Final Parametric Time to Event PK/PD Model for PFS

Per planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are AUC exposure effect estimated using non-linear mixed effects modeling, with Measure Type Number.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 months

Population: PK/PD analysis for PFS was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgLenvatinib AUC Exposure Effect Estimate for Final Parametric Time to Event PK/PD Model for PFS0.00111 per microgram*week per milliliter
Secondary

Lenvatinib Mean AUC Resulting in 50% of the Emax (EC50) Estimate From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2

Per the planned analysis, Arms/Groups were combined & tumor-growth inhibition models based on lenvatinib & placebo data from this study combined with study NCT01321554. Effects of tumor growth rate, drug effects, tumor resistance, & tumor size reduction related to biomarker response were assessed. Longitudinal data of the sum of the longest diameter for target lesion by investigator assessment in this study & independent reviewer assessment in study NCT01321554 were used. Changes in Ang-2 & soluble Tie-2 were evaluated, individually & in combination for their impact on tumor size. The concomitant use of lenvatinib & biomarker changes due to drug effects as predictors of tumor size were also evaluated. The final integrated model for tumor growth & biomarkers included effects of lenvatinib exposure & tumor growth reduction related to Tie-2 & Ang-2 biomarkers as significant predictors. Data presented are EC50 estimated using non-linear mixed effects modeling, with Measure Type Number.

Time frame: Baseline up to week 120

Population: PK/PD analysis was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211 who had PK data and at least one post-baseline tumor evaluation. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgLenvatinib Mean AUC Resulting in 50% of the Emax (EC50) Estimate From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-21760 ng*h/mL
Secondary

Mean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 Levels

Per the planned population PK/PD analysis for this endpoint, Arms/Groups were combined and lenvatinib total plasma concentration and serum biomarker data for VEGF, Ang-2, soluble Tie-2, and FGF23 from this study were combined with data from study E7080-G000-303 (NCT01321554). The relationship between lenvatinib exposure at the time of measurement of biomarker was described using PK/PD modelling. Initially, PK/PD models were developed individually for each biomarker and then combined into a single combined model. Changes in biomarker levels over time related to lenvatinib exposure were best described by an indirect response, sigmoidal Emax model. For the final combined model, MRT estimates were determined separately for each biomarker. The data presented are the model predicted MRT estimates, with Measure Type Number. They are population PK/PD model predictions and have been estimated using non-linear mixed effects modelling.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK/PD analysis was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and current study E7080-G000-211 and provided both PK data for lenvatinib and baseline and post-dose serum biomarkers samples. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure and number analyzed signifies participants who were evaluable for given categories.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgMean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsVEGF58.3 hours
Lenvatinib 24 mgMean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsTie-2354 hours
Lenvatinib 24 mgMean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsAng-2173 hours
Lenvatinib 24 mgMean Residence Time (MRT) Estimates From the Population PK/PD Model Describing the Relationship Between Lenvatinib Exposure (AUC) and VEGF, Soluble Tie-2, Ang-2 and FGF23 LevelsFGF23265 hours
Secondary

Model Predicted Apparent Total Clearance (CL/F) Following Oral Dosing of Lenvatinib

Sparse pharmacokinetic (PK) samples (approximately 9 per participant) were collected and analyzed using a population PK approach to estimate PK parameters. Lenvatinib total plasma concentration data were pooled with data from studies E7080-G000-303 (NCT01321554) and E7080-G000-201 (NCT00784303), and a population PK model was applied to the pooled dataset. Individual predicted CL/F for lenvatinib was then derived from the PK model by starting dose.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK Analysis Set included all participants who received at least one dose of study drug and who had evaluable lenvatinib plasma concentration data. Population for Lenvatinib 24 mg arm for this outcome measure included participants from study E7080-G000-303 (NCT01321554), E7080-G000-201 (NCT00784303) and from this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (MEAN)Dispersion
Lenvatinib 24 mgModel Predicted Apparent Total Clearance (CL/F) Following Oral Dosing of Lenvatinib6.408 liter per hour (L/h)Standard Deviation 1.945
Lenvatinib 18 mgModel Predicted Apparent Total Clearance (CL/F) Following Oral Dosing of Lenvatinib6.243 liter per hour (L/h)Standard Deviation 2.278
Secondary

Model Predicted Area Under the Plasma Drug Concentration-time Curve (AUC) for Lenvatinib

Sparse PK samples (approximately 9 per participant) were collected and analyzed using a population PK approach to estimate PK parameters. Lenvatinib total plasma concentration data were pooled with data from studies E7080-G000-303 (NCT01321554) and E7080-G000-201 (NCT00784303), and a population PK model was applied to the pooled dataset. Individual predicted AUC for lenvatinib was then derived from the PK model by starting dose.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK Analysis Set included all participants who received at least one dose of study drug and who had evaluable lenvatinib plasma concentration data. Population for Lenvatinib 24 mg arm for this outcome measure included participants from study E7080-G000-303 (NCT01321554), E7080-G000-201 (NCT00784303) and from this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (MEAN)Dispersion
Lenvatinib 24 mgModel Predicted Area Under the Plasma Drug Concentration-time Curve (AUC) for Lenvatinib3747 nanogram*hour per milliliter (ng*h/mL)Standard Deviation 1295
Lenvatinib 18 mgModel Predicted Area Under the Plasma Drug Concentration-time Curve (AUC) for Lenvatinib3370 nanogram*hour per milliliter (ng*h/mL)Standard Deviation 4438
Secondary

Number of Dose Reductions

Number of dose reduction was reported as number of participants who underwent one or more number of dose reductions. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Time frame: From date of first administration of study drug up to approximately 2 years 6 months

Population: Safety analysis set included all participants randomly assigned to treatment and who received at least 1 dose of study drug. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Dose Reductions1 Dose Reduction17 Participants
Lenvatinib 24 mgNumber of Dose Reductions2 Dose Reduction20 Participants
Lenvatinib 24 mgNumber of Dose Reductions3 Dose Reduction13 Participants
Lenvatinib 24 mgNumber of Dose Reductionsgreater than or equal to (>=) 4 Dose Reduction3 Participants
Lenvatinib 18 mgNumber of Dose Reductionsgreater than or equal to (>=) 4 Dose Reduction4 Participants
Lenvatinib 18 mgNumber of Dose Reductions1 Dose Reduction20 Participants
Lenvatinib 18 mgNumber of Dose Reductions3 Dose Reduction8 Participants
Lenvatinib 18 mgNumber of Dose Reductions2 Dose Reduction13 Participants
Secondary

Number of Participants With Diarrhea Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE diarrhea was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE diarrhea and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE diarrhea,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q1; None55 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 139 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 235 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 36 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q2; None53 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 145 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 229 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 38 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q3; None52 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 134 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 233 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 317 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q4; None56 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 137 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 234 Participants
Lenvatinib 24 mgNumber of Participants With Diarrhea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 38 Participants
Secondary

Number of Participants With Fatigue Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE fatigue was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE fatigue and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE fatigue,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q1; None75 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 127 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 230 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 33 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q2; None81 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 132 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 217 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 35 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q3; None73 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 142 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 211 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 310 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q4; None79 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 125 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 226 Participants
Lenvatinib 24 mgNumber of Participants With Fatigue Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 35 Participants
Secondary

Number of Participants With Hypertension Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined & a population PK/PD analysis of the relationship between lenvatinib exposure & occurrence of the TEAE hypertension was based on placebo & lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) & study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE hypertension & lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, & random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE & a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate), Grade 3 (severe or medically significant) or Grade 4 (life-threatening consequences) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE hypertension,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q1; None54 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 114 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 237 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 330 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 40 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q2; None48 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 111 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 230 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 347 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 40 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q3; None45 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 110 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 231 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 350 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 40 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q4; None51 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 112 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 231 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 340 Participants
Lenvatinib 24 mgNumber of Participants With Hypertension Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 41 Participants
Secondary

Number of Participants With Nausea Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE nausea was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE nausea and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE nausea,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q1; None88 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 132 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 214 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 31 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q2; None79 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 136 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 218 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 32 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q3; None83 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 137 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 214 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 32 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q4; None63 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 141 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 229 Participants
Lenvatinib 24 mgNumber of Participants With Nausea Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 32 Participants
Secondary

Number of Participants With Proteinuria Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE proteinuria was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE proteinuria and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate), or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE proteinuria,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q1; None104 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 112 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 213 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 36 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q2; None92 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 17 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 221 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 315 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q3; None72 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 116 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 232 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 316 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q4; None72 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 119 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 234 Participants
Lenvatinib 24 mgNumber of Participants With Proteinuria Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 310 Participants
Secondary

Number of Participants With TEAE and Serious Adverse Events (SAEs)

TEAEs were defined as those AEs that occurred (or worsened, if present at Baseline) after the first dose of study drug through 28 days after the last dose of study drug. An AE was defined as any untoward medical occurrence in a participants or clinical investigation participant administered an investigational product. An AE does not necessarily have a causal relationship with medicinal product. SAE was defined as any AE if it resulted in death or life-threatening AE or required inpatient hospitalization or prolongation of existing hospitalization or resulted in persistent or significant incapacity or substantial disruption of the ability to conduct normal life functions or was a congenital anomaly/birth defect.

Time frame: From date of first administration of study drug up to 28 days after last dose of study drug up to approximately 3 years 3 months

Population: Safety analysis set included all participants randomly assigned to treatment and who received at least 1 dose of study drug.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With TEAE and Serious Adverse Events (SAEs)TEAE75 Participants
Lenvatinib 24 mgNumber of Participants With TEAE and Serious Adverse Events (SAEs)SAE26 Participants
Lenvatinib 18 mgNumber of Participants With TEAE and Serious Adverse Events (SAEs)TEAE76 Participants
Lenvatinib 18 mgNumber of Participants With TEAE and Serious Adverse Events (SAEs)SAE35 Participants
Secondary

Number of Participants With Vomiting Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE vomiting was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE vomiting and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE vomiting, participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis. Overall number of participants analyzed signifies participants who were evaluable for outcome measure. Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q1; None106 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 119 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 27 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 33 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q2; None100 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 121 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 211 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 33 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q3; None94 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 131 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 28 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 33 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q4; None86 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 130 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 218 Participants
Lenvatinib 24 mgNumber of Participants With Vomiting Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 31 Participants
Secondary

Number of Participants With Weight Decrease Stratified by AUC Quartile (Q) Group

Per the planned analysis for this endpoint, Arms/Groups were combined and a population PK/PD analysis of the relationship between lenvatinib exposure and occurrence of the TEAE weight decreased was based on placebo and lenvatinib pooled data from this study combined with study E7080-G000-201 (NCT00784303) and study E7080-G000-303 (NCT01321554). The relationship of occurrence probability of different grades of the TEAE weight decreased and lenvatinib exposure were evaluated by logistic regression model. The logit model was of the form: sum of intercept, of lenvatinib exposure, effects of covariates were explored, and random effects were used to describe between participant variability. Lenvatinib exposure was AUC based on the dose at the time of event. For each TEAE, probabilities of having no TEAE and a CTCAE Version 4.03 Grade 1 (Mild), Grade 2 (Moderate) or Grade 3 (severe or medically significant) TEAE were estimated as a function of lenvatinib or exposure.

Time frame: Up to 3 years 3 months

Population: For PK/PD analysis of the TEAE weight decreased,participants with DTC who received lenvatinib and placebo from studies E7080-G000-211,E7080-G000-201(NCT00784303)and E7080-G000-303 (NCT01321554)with PK information and who had at least 1 postbaseline safety evaluation were included in analysis.Overall number of participants analyzed signifies participants who were evaluable for outcome measure.Number analyzed signifies participants who were evaluable for this outcome measure for given categories.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q1; None82 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 120 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 229 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q1; Grade 34 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q2; None75 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 117 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 228 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q2; Grade 315 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q3; None74 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 118 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 233 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q3; Grade 311 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q4; None67 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 115 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 237 Participants
Lenvatinib 24 mgNumber of Participants With Weight Decrease Stratified by AUC Quartile (Q) GroupAUC Q4; Grade 316 Participants
Secondary

Parameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2

Per the planned analysis, Arms/Groups were combined & tumor-growth inhibition models based on lenvatinib & placebo data from this study combined with study NCT01321554. Effects of tumor growth rate, drug effects, tumor resistance, & tumor size reduction related to biomarker response were assessed. Longitudinal data of sum of the longest diameter for target lesion by investigator assessment in this study & independent reviewer assessment in study NCT01321554 were used. Changes in Ang-2 & soluble Tie-2 were evaluated, individually & in combination for their impact on tumor size. The concomitant use of lenvatinib & biomarker changes due to drug effects as predictors of tumor size were also evaluated. The final integrated model for tumor growth & biomarkers included effects of lenvatinib exposure & tumor growth reduction related to Tie-2 & Ang-2 biomarkers as significant predictors. Data presented are the parameters defining this non-linear mixed effects model, with Measure Type Number.

Time frame: Baseline up to week 120

Population: PK/PD analysis was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211 who had PK data and at least one post-baseline tumor evaluation. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgParameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Tumor size reduction rate constant for Ang-2-0.0146 per week
Lenvatinib 24 mgParameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Tumor growth rate0.00249 per week
Lenvatinib 24 mgParameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Maximum effect of lenvatinib on tumor suppression (Emax)0.0877 per week
Lenvatinib 24 mgParameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Resistance term0.268 per week
Lenvatinib 24 mgParameter Estimates From the PK/PD Model for Tumor Growth Inhibition and Serum Biomarkers Tie-2 and Ang-2Tumor size reduction rate constant for Tie-2-0.0220 per week
Secondary

Parameter Estimates From the Population Pharmacokinetic/Pharmacodynamic (PK/PD) Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Thyroglobulin Levels

The relationship between exposure to lenvatinib and change from baseline in thyroglobulin was planned to be analyzed using a model-based approach.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK/PD modeling of the effect of lenvatinib exposure on thyroglobulin levels could not be achieved due to the high variability in change from baseline data and hence data was not collected and reported.

Secondary

Parameter Estimates From the Population Pharmacokinetic/Pharmacodynamic (PK/PD) Model Describing the Relationship Between Lenvatinib Exposure (AUC) and Thyroid-Stimulating Hormone (TSH) Levels

The relationship between exposure to lenvatinib and change from baseline in TSH was planned to be analyzed using a model-based approach.

Time frame: Cycle 1 Day 1: 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 8: predose, Cycle 1 Day 15: predose, 0.5-4 hours and 6-10 hours postdose; Cycle 1 Day 22: optionally at predose; Cycle 2 Day 1: predose and 2-12 hours postdose (Cycle length=28 days)

Population: PK/PD modeling of the effect of lenvatinib exposure on TSH levels could not be achieved due to the high variability in change from baseline data and hence data was not collected and reported.

Secondary

PFS After Next Line of Treatment (PFS2)

PFS2, defined as the time from randomization to PD on next-line treatment, or death from any cause, whichever occurred first, as measured by RECIST V1.1. PD: 20% increase in the SOD of target lesions, taking as reference the smallest sum SOD recorded since the treatment started or the appearance of one or more new lesions. PFS was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Time frame: Time from randomization to PD on next-line treatment or death from any cause, whichever occurs first up to approximately 2 years 6 months

Population: FAS included all participants randomly assigned to treatment.

ArmMeasureValue (MEDIAN)
Lenvatinib 24 mgPFS After Next Line of Treatment (PFS2)NA months
Lenvatinib 18 mgPFS After Next Line of Treatment (PFS2)NA months
Secondary

Predicted Percent Change in Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFS

Per planned analysis, Arms/Groups were combined & PK/PD analysis for PFS based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from univariate analysis were added to the model simultaneously & significant predictors retained according to backward exclusion criteria (log likelihood ratio test, p-value = 0.001). Data presented are the predicted change in tumor size estimated using non-linear mixed effects modeling, with Measure Type Number.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 months

Population: PK/PD analysis for PFS was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureValue (NUMBER)
Lenvatinib 24 mgPredicted Percent Change in Tumor Size Estimate for Final Parametric Time to Event PK/PD Model for PFS-0.0523 percent change
Secondary

Progression-free Survival (PFS)

PFS, defined as the time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurs first, as measured by RECIST V1.1. PD: 20% increase in the sum of the pertinent diameters (SOD) of target lesions, taking as reference the smallest sum SOD recorded since the treatment started or the appearance of one or more new lesions. PFS was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurs first up to approximately 2 years 6 months

Population: FAS included all participants randomly assigned to treatment.

ArmMeasureValue (MEDIAN)
Lenvatinib 24 mgProgression-free Survival (PFS)NA months
Lenvatinib 18 mgProgression-free Survival (PFS)24.4 months
Secondary

Scale Factor Estimate for Final Parametric Time to Event PK/PD Model for PFS

Per planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate the probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors were retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are scale factor estimated using non-linear mixed effects modeling, with Measure Type Number.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 months

Population: PK/PD analysis for PFS was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgScale Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSScale factor0.00700 per week
Lenvatinib 24 mgScale Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSScale factor drop out0.0000935 per week
Secondary

Shape Factor Estimate for Final Parametric Time to Event PK/PD Model for PFS

Per planned analysis, Arms/Groups were combined & PK/PD analysis for PFS was based on lenvatinib & placebo data from this study combined with NCT01321554. Relationship between lenvatinib exposure & PFS was assessed using Kaplan-Meier plots. A parametric survival model (proportional hazard model) with Weibull distribution structure was developed to estimate the probability distribution of time from study start to progression, as a function of covariates including baseline disease characteristics, demographics, lenvatinib exposure, changes in biomarker time profiles, model predicted change from baseline in tumor size & change in tumor size time-profiles. Significant (p\<0.01) covariates from the univariate analysis were added to the model simultaneously & significant predictors were retained according to backward exclusion criteria (log likelihood ratio test, p-value of 0.001). Data presented are shape factor estimated using non-linear mixed effects modeling, with Measure Type Number.

Time frame: Time from the date of randomization to the date of first documentation of PD, or date of death, whichever occurred first up to approximately 3 years 3 months

Population: PK/PD analysis for PFS was performed for DTC participants who received lenvatinib or placebo in study E7080-G000-303 (NCT01321554) and this current study E7080-G000-211. Here overall number of participants analyzed signifies participants who were evaluable for this outcome measure.

ArmMeasureGroupValue (NUMBER)
Lenvatinib 24 mgShape Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSShape factor1.36 unitless
Lenvatinib 24 mgShape Factor Estimate for Final Parametric Time to Event PK/PD Model for PFSShape factor drop out2.19 unitless
Secondary

Time to First Dose Reduction

Time to First Dose Reduction was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Time frame: From date of first administration of study drug up to approximately 2 years 6 months

Population: Safety analysis set included all participants randomly assigned to treatment and who received at least 1 dose of study drug.

ArmMeasureValue (MEDIAN)
Lenvatinib 24 mgTime to First Dose Reduction15.3 weeks
Lenvatinib 18 mgTime to First Dose Reduction24.1 weeks
Secondary

Time to Treatment Discontinuation Due to an Adverse Event (AE)

Time to Treatment Discontinuation due to an AE (such as abdominal distention, appendicitis perforated, arthralgia, anemia, etc) was analyzed using the Kaplan-Meier method. As planned, data for this endpoint was analyzed and collected till Primary completion date.

Time frame: From date of first administration of study drug up to approximately 2 years 6 months

Population: Safety analysis set included all participants randomly assigned to treatment and who received at least 1 dose of study drug.

ArmMeasureValue (MEDIAN)
Lenvatinib 24 mgTime to Treatment Discontinuation Due to an Adverse Event (AE)NA weeks
Lenvatinib 18 mgTime to Treatment Discontinuation Due to an Adverse Event (AE)NA weeks

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026