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Study of Efficacy of CDZ173 in Patients With APDS/PASLI

An Open-label, Non-randomized, Within-patient Dose-finding Study Followed by a Randomized, Subject, Investigator and Sponsor Blinded Placebo Controlled Study to Assess the Efficacy and Safety of CDZ173 (Leniolisib) in Patients With APDS/PASLI (Activated Phosphoinositide 3-kinase Delta Syndrome/ p110δ-activating Mutation Causing Senescent T Cells, Lymphadenopathy and Immunodeficiency)

Status
Completed
Phases
Phase 2Phase 3
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02435173
Enrollment
37
Registered
2015-05-06
Start date
2015-08-24
Completion date
2021-08-16
Last updated
2022-08-10

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

Conditions

Common Variable Immunodeficiency (CVID), APDS / PASLI

Keywords

APDS, PASLI, PI3Kdelta

Brief summary

This study was designed to explore CDZ173, a selective PI3Kδ inhibitor, in patients with genetically activated PI3Kδ, i.e., patients with Activated phosphoinositide 3-kinase delta syndrome/ p110δ-activating mutation causing senescent T cells, lymphadenopathy and immunodeficiency (APDS/PASLI). The study consisted of two parts: Part I was the open label part designed to establish the safety and pharmacokinetics of CDZ173 in the target population, as well as to select the optimal dose to be tested in Part II. Part II was designed to assess efficacy and safety of CDZ173 in the target population.

Detailed description

This was a 2-part (Part I and Part II), Phase 2/3, multi-center study in subjects with APDS/PASLI. Part I of the study was a non-randomized, open-label, within-patient up-titration dose-finding part in 6 participants with APDS/PASLI. The starting dose was 10 mg followed by 30 mg and 70 mg b.i.d. for 4 weeks at each dose level respectively. Part I consisted of three distinct study periods: Screening / Baseline visit (Day -50 to Day-1): This period was used to confirm that the study inclusion and exclusion criteria were met. Participants who were deemed eligible for enrollment into the study attended the clinic on Day -1 for baseline assessments prior to randomization. Treatment period (Day 1 to Day 84): Participants started treatment on Day 1 receiving 10 mg of CDZ173 twice daily (b.i.d.) until Day 28. After a continuous safety review and a review of PK and PD data, participants assessed as satisfactory proceeded to the next dose levels: from Day 29 to Day 56 participants received 30 mg CDZ173 b.i.d. and from Day 57 to Day 84, if assessed as satisfactory, participants received 70 mg CDZ173 b.i.d. Follow-up (Day 85-114): After completion of the treatment period, participants were followed-up for safety for four weeks until Day 114. Part II was a randomized, subject, investigator and sponsor-blinded, placebo-controlled, fixed dose part investigating 31 participants with APDS/PASLI. The CDZ173 dose used in this Part was selected based on safety, tolerability, PK and PD data from Part I. Part II consisted of three distinct study periods: Screening / Baseline visit (Day -50 to Day-1): This period was used to confirm that the study inclusion and exclusion criteria were met. Participants who were deemed eligible for enrollment into the study attended the clinic on Day -1 for baseline assessments prior to randomization. Treatment period (Day 1 to Day 85): On Day 1, Participants were randomized to one of the two treatment groups in a 2:1 ratio to receive either 70 mg CDZ173 b.i.d. or matching placebo until Day 85. Follow-up (Day 86-115): On Day 86, a subset of participants rolled over to CCDZ173X2201E1 extension study and were not followed up for safety after end of treatment in CCDZ173X2201. Participants, who did not directly roll over to the extension study, after last treatment dose were followed-up for safety for four weeks until Day 115.

Interventions

DRUGCDZ173

CDZ173 10 and 70 mg capsules for oral administration.

OTHERPlacebo

Placebo capsules for oral administration

Sponsors

Novartis Pharmaceuticals
Lead SponsorINDUSTRY

Study design

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

Intervention model description

Part I of the study was a non-randomized, open-label, within-patient up-titration dose-finding part in 6 participants with APDS/PASLI. Part II was a randomized, subject, investigator and sponsor-blinded, placebo-controlled, fixed dose part investigating 31 participants with APDS/PASLI.

Eligibility

Sex/Gender
ALL
Age
12 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

Key Inclusion Criteria: * Male and female patients 12 to 75 years of age (inclusive), who had a documented APDS/PASLI-associated genetic PI3K delta mutation. * In Part I and Part II, patients must had nodal and/or extranodal lymphoproliferation, and clinical findings and manifestations compatible with APDS/PASLI such as a history of repeated oto-sino-pulmonary infections and/or organ dysfunction (e.g., lung, liver). Additionally, in part II, patients must had at least one measurable nodal lesion on a CT or MRI scan. * At screening, vital signs (systolic and diastolic blood pressure and pulse rate) were assessed in the sitting position after the patient rested for at least three minutes. Key

Exclusion criteria

* Previous or concurrent use of immunosuppressive medication. * Current use of medication known to be strong inhibitor or moderate or strong inducers of isoenzyme CYP3A, if treatment cannot be discontinued or switched to a different medication prior to starting study treatment. * Current use of medications that are metabolized by isoenzyme CYP1A2 and have a narrow therapeutic index (drugs whose exposureresponse indicates that increases in their exposure levels by the concomitant use of potent inhibitors may lead to serious safety concerns (e.g., Torsades de Pointes)). * Administration of live vaccines (this includes any attenuated live vaccines) starting from 6 weeks before study entry, during the study and up to 7 days after the last dose of CDZ173. * Pregnant or nursing (lactating) women, where pregnancy is defined as the state of a female after conception and until the termination of gestation, confirmed by a positive hCG laboratory test. * Women of child-bearing potential, defined as all women physiologically capable of becoming pregnant, unless they are using highly effective methods of contraception during dosing of study medication and for 2 days after stopping study treatment.

Design outcomes

Primary

MeasureTime frameDescription
Part I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)From the start of treatment to 30 days after end of treatment, assessed up to maximum duration of 114 daysNumber of participants with AEs and SAEs, including significant changes from baseline in physical findings, vital signs, electrocardiograms and laboratory values qualifying and reported as AEs. The number of participants in each category (AEs and SAEs) is reported per dose level: CDZ173 10 mg from Day 1 to Day 28, CDZ173 30 mg from day 29 to day 56 and CDZ173 70 mg from day 57 to day 84.
Part I: CDZ173 Dose ConcentrationDays 1, 29 and 57 (0.25 and 3 h post morning dose) and Day 84Venous whole blood samples were collected for the assessment of the dose-PD and the PK/PD relationship of CDZ173 in participants with APDS/PASLI for dose selection in Part II. CDZ173 was determined by a validated Liquid chromatography - Mass spectometry (LC-MS) method; anticipated Lower Limit of Quantification (LLOQ) was 3 ng/mL. Concentrations below the LLOQ were reported as zero and no methods for imputation of missing data were used.
Part I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsBaseline, days 29 and 57 (3 and 12 h post-dose) and day 84Phosphorylation of Akt in ex vivo stimulated and unstimulated B cells was quantified at baseline and at the end of the 4-week treatment period for each of the three dose levels. Determination of the percentage (%) of CD20B+ phospho-Akt positive cells after ex vivo stimulation of whole blood was performed by flow cytometry analysis. The percentage of inhibition of pAkt was defined as (-1) \* percent change from baseline pAkt value. Unstimulated cells served as controls at each time point. Baseline was defined as the mean of the day -1 value and the pre-dose value on Day 1 when both were available (if one was missing, then baseline was defined as the existing value). A higher percentage of inhibition of stimulated B cells indicates improvement. No methods for imputation of missing data were used.
Part II: Change From Baseline in the log10 Transformed Sum of Product of Diameters (SPD) in the Index LesionsBaseline and Day 85For the assessment of the impact of CDZ173 on lymphadenopathy, participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the neck, chest, abdomen and pelvis was performed. Index lesions were selected from measurable nodal and extranodal lesions as per the Cheson methodology. A maximum of six of the largest dominant lesions were selected and documented at baseline and assessed again at the end of treatment. The change in lymph node size was measured using the log10 transformed sum of product of diameters (SPD), the sum of the longest lesion diameter (mm) and longest perpendicular diameter (mm). A lower score indicates index lesions SPD reduction. A negative change from baseline indicates improvement.
Part II: Change From Baseline in Percentage of naïve B Cells Out of Total B CellsBaseline and Day 85APDS/PASLI patients suffer from dysregulation in B cell function and differentiation with low numbers of naive B cells. Change from baseline in percentage of naïve B cells out of total B cells at the end of treatment was assessed by flow cytometry to evaluate the pharmacodynamic effect of CDZ173 on B cell immunophenotyping. A higher percentage in naïve B out of total B cells is a positive outcome. A positive change from baseline indicates improvement.

Secondary

MeasureTime frameDescription
Part I & II: Physician's Global Assessment (PGA)Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85In the physician's global assessment questionnaire the Investigator rated the disease activity of their patient using 100 mm Visual analogue Scale (VAS) ranging from no disease activity (0) to maximal disease activity (100). To enhance objectivity, the physician was not aware of the specific patient's global assessment, when performing his own assessment on that patient. No methods for imputation of missing data were used.
Part I & II: Patient's Global Assessment (PtGA)Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85In the patient's global assessment questionnaire patients are asked about their APDS/PASLI related well-being using 100 mm visual analogue scale (VAS) ranging from very poor (0) to very good (100). No methods for imputation of missing data were used.
Part I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationPart I: Baseline and Days 1, 15, 29, 57, 84 / Part II: Baseline and Days 1, 15, 29, 57, 85High Sensitivity C reactive protein is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. HsCRP was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.
Part I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationPart I: Baseline and Days 1, 15, 29, 57, 84 / Part II: Baseline and Days 1, 15, 29, 57, 85Lactate dehydrogenase is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. LDH was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.
Part II: Beta2 Microglobulin as Biomarker for Systemic InflammationBaseline and Days 1, 15, 29, 57, 85Beta2 microglobulin is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Beta2 microglobulin was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.
Part I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173Part I: Days 1, 29 and 57 / Part II: Day 1Venous whole blood samples were collected for activity-based pharmacokinetics characterization. AUClast was calculated from plasma concentration-time data using non-compartmental methods. AUClast was calculated at the first day of every CDZ173 dose level (10, 30 and 70 mg) for Part I and (70 mg) for Part II. No methods for imputation of missing data were used.
Part II: Fibrinogen as Biomarker for Systemic InflammationBaseline and Days 1, 15, 29, 57, 85Fibrinogen is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Fibrinogen was measured in serum using an Electrochemiluminescence immunoassay (ECLIA). No methods for imputation of missing data were used.
Part II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationBaseline and Days 1, 15, 29, 57, 85Erythrocyte sedimentation rate (ESR) is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. ESR was measured in whole blood using the Westergren method. No methods for imputation of missing data were used.
Part II: 3D Volume of Index LesionsBaseline and Day 85Participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the neck, chest, abdomen and pelvis was performed. The 3D volume of index lesions was identified as per the Cheson criteria. A reduction of the 3D volume of the index lesions indicated a positive outcome.
Part II: 3D Volume of the SpleenBaseline and Day 85Participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the spleen was performed and its 3D volume was identified as per the Cheson criteria. A reduction of the spleen volume indicated a positive outcome.
Part II: Ferritin as Biomarker for Systemic InflammationBaseline and Days 1, 15, 29, 57, 85Ferritin is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Ferritin was measured in serum using a Electrochemiluminescence immunoassay (ECLIA). No methods for imputation of missing data were used.
Part I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173Part I: Days 1, 29 and 57 / Part II: Day 1Venous whole blood samples were collected for activity-based pharmacokinetics characterization. Cmax was calculated from plasma concentration-time data using non-compartmental methods. Cmax was calculated at the first day of every CDZ173 dose level (10, 30 and 70 mg) for Part I and (70 mg) for Part II. No methods for imputation of missing data were used.
Part I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyPart I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85The SF-36 is a widely used and extensively studied instrument to measure health-related quality of life (HRQoL) among healthy subjects and patients with acute and chronic conditions. It consists of eight subscales that can be scored individually: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. The subscales are aggregated to derive two overall summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS) scores. PCS and MCS scores range from 0 to 100 with a higher score indicating a more favorable health state (range = 0 worst - 100 best). No methods for imputation of missing data were used.
Part I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85The Work Productivity Activity Impairment (WPAI) questionnaire measures the amount of absence or presence for work attendance and daily work activity impairment attributable to APDS/PASLI. As younger participants (age 12 and above) were enrolled in the study the WPAI-CIQ was used for all participants as it also measures the amount of absence or presence for school attendance and daily classroom activity impairment. Participants responded for classroom or work-related questions depending on their situation. WPAI-CIQ consists of 10 questions that yield 4 types of scores: absenteeism, presenteeism, work/classroom productivity loss and activity impairment. The Overall work impairment due to health (%) score ranges from 0 to 100% with 100% indicating total work impairment and 0% no impairment at all. No methods for imputation of missing data were used.
Part I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85The Work Productivity Activity Impairment (WPAI) questionnaire measures the amount of absence or presence for work attendance and daily work activity impairment attributable to APDS/PASLI. As younger participants (age 12 and above) were enrolled in the study the WPAI-CIQ was used for all participants as it also measures the amount of absence or presence for school attendance and daily classroom activity impairment. Participants responded for classroom or work-related questions depending on their situation. WPAI-CIQ consists of 10 questions that yield 4 types of scores: absenteeism, presenteeism, work/classroom productivity loss and activity impairment. The Overall classroom impairment due to health (%) score ranges from 0 to 100% with 100% indicating total classroom impairment and 0% no impairment at all. A higher percentage indicates a negative outcome. No methods for imputation of missing data were used.

Countries

Belarus, Czechia, Germany, Ireland, Italy, Netherlands, Russia, United Kingdom, United States

Participant flow

Recruitment details

Participants took part in 10 investigative sites in 9 countries.

Pre-assignment details

The participants were screened within 50 days prior to enrollment. After screening and baseline assessments, the treatment period started on Day 1.

Participants by arm

ArmCount
Part I: CDZ173
Participants consecutively received CDZ173 10 mg b.i.d. from Day 1 to Day 28, CDZ173 30 mg b.i.d. from Day 29 to Day 56 and CDZ173 70 mg b.i.d. from Day 57 to Day 84.
6
Part II: CDZ173 70 mg
Participants received CDZ173 70 mg b.i.d. from Day 1 to Day 85.
21
Part II: Placebo
Participants received Placebo b.i.d. from Day 1 to Day 85.
10
Total37

Baseline characteristics

CharacteristicPart I: CDZ173Part II: CDZ173 70 mgPart II: PlaceboTotal
Age, Categorical
<=18 years
2 Participants9 Participants5 Participants16 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
4 Participants12 Participants5 Participants21 Participants
Age, Continuous22.2 Years
STANDARD_DEVIATION 5.64
22.2 Years
STANDARD_DEVIATION 10
26.7 Years
STANDARD_DEVIATION 13.43
23.43 Years
STANDARD_DEVIATION 10.44
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants1 Participants1 Participants2 Participants
Race (NIH/OMB)
Black or African American
0 Participants1 Participants1 Participants2 Participants
Race (NIH/OMB)
More than one race
0 Participants1 Participants1 Participants2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
6 Participants18 Participants7 Participants31 Participants
Sex: Female, Male
Female
2 Participants10 Participants6 Participants18 Participants
Sex: Female, Male
Male
4 Participants11 Participants4 Participants19 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
deaths
Total, all-cause mortality
0 / 60 / 60 / 60 / 60 / 210 / 10
other
Total, other adverse events
2 / 62 / 64 / 64 / 618 / 219 / 10
serious
Total, serious adverse events
0 / 60 / 60 / 60 / 63 / 212 / 10

Outcome results

Primary

Part I: CDZ173 Dose Concentration

Venous whole blood samples were collected for the assessment of the dose-PD and the PK/PD relationship of CDZ173 in participants with APDS/PASLI for dose selection in Part II. CDZ173 was determined by a validated Liquid chromatography - Mass spectometry (LC-MS) method; anticipated Lower Limit of Quantification (LLOQ) was 3 ng/mL. Concentrations below the LLOQ were reported as zero and no methods for imputation of missing data were used.

Time frame: Days 1, 29 and 57 (0.25 and 3 h post morning dose) and Day 84

Population: All participants enrolled in Part I

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 29: 0.25 h post-dose249.00 Nanogram / millilitreStandard Deviation 540
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 1: 0.25 h post-dose10.10 Nanogram / millilitreStandard Deviation 1.1
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 1: 3 h post-dose321.00 Nanogram / millilitreStandard Deviation 115
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 29: 3 h post-dose916.00 Nanogram / millilitreStandard Deviation 185
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 57: 0.25 h post-dose150.00 Nanogram / millilitreStandard Deviation 143
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 57: 3 h post-dose1710.00 Nanogram / millilitreStandard Deviation 782
Part I: CDZ173 10 mgPart I: CDZ173 Dose ConcentrationDay 84998.00 Nanogram / millilitreStandard Deviation 455
Primary

Part II: Change From Baseline in Percentage of naïve B Cells Out of Total B Cells

APDS/PASLI patients suffer from dysregulation in B cell function and differentiation with low numbers of naive B cells. Change from baseline in percentage of naïve B cells out of total B cells at the end of treatment was assessed by flow cytometry to evaluate the pharmacodynamic effect of CDZ173 on B cell immunophenotyping. A higher percentage in naïve B out of total B cells is a positive outcome. A positive change from baseline indicates improvement.

Time frame: Baseline and Day 85

Population: Pharmacodynamic (PD) analysis set. Only participants with a percentage of less than 48% of naive B cells at baseline and with a measured value at Day 85 were included.

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Change From Baseline in Percentage of naïve B Cells Out of Total B Cells34.76 Percentage change from baselineStandard Error 3.08
Part II: PlaceboPart II: Change From Baseline in Percentage of naïve B Cells Out of Total B Cells-5.37 Percentage change from baselineStandard Error 3.95
p-value: <0.000195% CI: [28.51, 51.75]ANCOVA
Primary

Part II: Change From Baseline in the log10 Transformed Sum of Product of Diameters (SPD) in the Index Lesions

For the assessment of the impact of CDZ173 on lymphadenopathy, participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the neck, chest, abdomen and pelvis was performed. Index lesions were selected from measurable nodal and extranodal lesions as per the Cheson methodology. A maximum of six of the largest dominant lesions were selected and documented at baseline and assessed again at the end of treatment. The change in lymph node size was measured using the log10 transformed sum of product of diameters (SPD), the sum of the longest lesion diameter (mm) and longest perpendicular diameter (mm). A lower score indicates index lesions SPD reduction. A negative change from baseline indicates improvement.

Time frame: Baseline and Day 85

Population: Pharmacodynamic (PD) analysis set, excluding participants with 0 lesion at baseline. Only participants with baseline and end of treatment lymphadenopathy measurements were included.

ArmMeasureValue (LEAST_SQUARES_MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Change From Baseline in the log10 Transformed Sum of Product of Diameters (SPD) in the Index Lesions-0.30 Millimeter on Log10 scaleStandard Error 0.04
Part II: PlaceboPart II: Change From Baseline in the log10 Transformed Sum of Product of Diameters (SPD) in the Index Lesions-0.06 Millimeter on Log10 scaleStandard Error 0.06
p-value: 0.001295% CI: [-0.37, -0.11]ANCOVA
Primary

Part I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)

Number of participants with AEs and SAEs, including significant changes from baseline in physical findings, vital signs, electrocardiograms and laboratory values qualifying and reported as AEs. The number of participants in each category (AEs and SAEs) is reported per dose level: CDZ173 10 mg from Day 1 to Day 28, CDZ173 30 mg from day 29 to day 56 and CDZ173 70 mg from day 57 to day 84.

Time frame: From the start of treatment to 30 days after end of treatment, assessed up to maximum duration of 114 days

Population: All participants enrolled in Part I.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 10 mg AEs2 Participants
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 10 mg SAEs0 Participants
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 30 mg AEs2 Participants
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 30 mg SAEs0 Participants
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 70 mg AEs4 Participants
Part I: CDZ173 10 mgPart I: Number of Participants With Adverse Events (AEs) and Serious Adverse Events (SAEs)CDZ173 70 mg SAEs0 Participants
Primary

Part I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B Cells

Phosphorylation of Akt in ex vivo stimulated and unstimulated B cells was quantified at baseline and at the end of the 4-week treatment period for each of the three dose levels. Determination of the percentage (%) of CD20B+ phospho-Akt positive cells after ex vivo stimulation of whole blood was performed by flow cytometry analysis. The percentage of inhibition of pAkt was defined as (-1) \* percent change from baseline pAkt value. Unstimulated cells served as controls at each time point. Baseline was defined as the mean of the day -1 value and the pre-dose value on Day 1 when both were available (if one was missing, then baseline was defined as the existing value). A higher percentage of inhibition of stimulated B cells indicates improvement. No methods for imputation of missing data were used.

Time frame: Baseline, days 29 and 57 (3 and 12 h post-dose) and day 84

Population: All participants who were enrolled in Part I. At each time point, only participants with a derived baseline value and a result at that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Unstimulated: Day 29 - 3 h post-dose82.07 PercentageStandard Deviation 7.25
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Stimulated: Day 29 - 3 h post-dose78.00 PercentageStandard Deviation 7.25
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Unstimulated: Day 29 - 12 h post-dose50.58 PercentageStandard Deviation 18.73
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Stimulated: Day 29 - 12 h post-dose47.14 PercentageStandard Deviation 7.83
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Unstimulated: Day 57 - 3 h post-dose86.61 PercentageStandard Deviation 5.26
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Stimulated: Day 57 - 3 h post-dose60.98 PercentageStandard Deviation 54.05
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Unstimulated: Day 57 - 12 h post-dose53.18 PercentageStandard Deviation 16.59
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Stimulated: Day 57 - 12 h post-dose63.65 PercentageStandard Deviation 21.03
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Unstimulated: Day 8474.35 PercentageStandard Deviation 11.03
Part I: CDZ173 10 mgPart I: Percentage of Inhibition of Unstimulated and Stimulated pAkt Levels in B CellsCD20B Stimulated: Day 8478.65 PercentageStandard Deviation 12
Secondary

Part II: 3D Volume of Index Lesions

Participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the neck, chest, abdomen and pelvis was performed. The 3D volume of index lesions was identified as per the Cheson criteria. A reduction of the 3D volume of the index lesions indicated a positive outcome.

Time frame: Baseline and Day 85

Population: Pharmacodynamic (PD) analysis set.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: 3D Volume of Index LesionsBaseline20142.12 Millimeter^3Standard Deviation 15617.13
Part I: CDZ173 10 mgPart II: 3D Volume of Index LesionsDay 857858.08 Millimeter^3Standard Deviation 6290.98
Part II: PlaceboPart II: 3D Volume of Index LesionsBaseline37123.69 Millimeter^3Standard Deviation 67325.94
Part II: PlaceboPart II: 3D Volume of Index LesionsDay 8540169.28 Millimeter^3Standard Deviation 81844.45
Secondary

Part II: 3D Volume of the Spleen

Participants were scanned in a magnetic resonance imaging (MRI) or a computed tomography (CT) scanner as based on clinical practice and local regulation. MRI or CT imaging of the spleen was performed and its 3D volume was identified as per the Cheson criteria. A reduction of the spleen volume indicated a positive outcome.

Time frame: Baseline and Day 85

Population: Pharmacodynamic (PD) analysis set.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: 3D Volume of the SpleenBaseline586448.74 Millimeter^3Standard Deviation 311482.61
Part I: CDZ173 10 mgPart II: 3D Volume of the SpleenDay 85411130.98 Millimeter^3Standard Deviation 193977.46
Part II: PlaceboPart II: 3D Volume of the SpleenBaseline448456.15 Millimeter^3Standard Deviation 328641.78
Part II: PlaceboPart II: 3D Volume of the SpleenDay 85480333.09 Millimeter^3Standard Deviation 445371.99
Secondary

Part II: Beta2 Microglobulin as Biomarker for Systemic Inflammation

Beta2 microglobulin is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Beta2 microglobulin was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.

Time frame: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 12.43 Milligram / literStandard Deviation 0.88
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationBaseline2.46 Milligram / literStandard Deviation 0.87
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 152.10 Milligram / literStandard Deviation 1.03
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 292.02 Milligram / literStandard Deviation 1.17
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 571.90 Milligram / literStandard Deviation 0.72
Part I: CDZ173 10 mgPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 852.01 Milligram / literStandard Deviation 1.04
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 572.42 Milligram / literStandard Deviation 1.17
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 293.21 Milligram / literStandard Deviation 1.61
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationBaseline2.32 Milligram / literStandard Deviation 0.96
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 12.31 Milligram / literStandard Deviation 0.95
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 852.57 Milligram / literStandard Deviation 1.19
Part II: PlaceboPart II: Beta2 Microglobulin as Biomarker for Systemic InflammationDay 152.31 Milligram / literStandard Deviation 1.09
Secondary

Part II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic Inflammation

Erythrocyte sedimentation rate (ESR) is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. ESR was measured in whole blood using the Westergren method. No methods for imputation of missing data were used.

Time frame: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationBaseline28.09 Millimeter / hourStandard Deviation 19.79
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 126.88 Millimeter / hourStandard Deviation 19.33
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 1519.50 Millimeter / hourStandard Deviation 13.52
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 2918.33 Millimeter / hourStandard Deviation 13.8
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 5718.06 Millimeter / hourStandard Deviation 15.36
Part I: CDZ173 10 mgPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 8516.35 Millimeter / hourStandard Deviation 15.99
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 5727.88 Millimeter / hourStandard Deviation 23.04
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationBaseline25.44 Millimeter / hourStandard Deviation 24.88
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 2926.00 Millimeter / hourStandard Deviation 25.26
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 125.13 Millimeter / hourStandard Deviation 24.51
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 8519.63 Millimeter / hourStandard Deviation 18.03
Part II: PlaceboPart II: Erythrocyte Sedimentation Rate (ESR) as Biomarker for Systemic InflammationDay 1516.00 Millimeter / hourStandard Deviation 12.21
Secondary

Part II: Ferritin as Biomarker for Systemic Inflammation

Ferritin is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Ferritin was measured in serum using a Electrochemiluminescence immunoassay (ECLIA). No methods for imputation of missing data were used.

Time frame: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationBaseline139.16 Microgram / literStandard Deviation 399.73
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationDay 1142.67 Microgram / literStandard Deviation 411.57
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationDay 15146.99 Microgram / literStandard Deviation 494.88
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationDay 29187.65 Microgram / literStandard Deviation 641.16
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationDay 57199.97 Microgram / literStandard Deviation 657.31
Part I: CDZ173 10 mgPart II: Ferritin as Biomarker for Systemic InflammationDay 85139.42 Microgram / literStandard Deviation 368.68
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationDay 5751.40 Microgram / literStandard Deviation 64.95
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationBaseline62.05 Microgram / literStandard Deviation 81.65
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationDay 2948.43 Microgram / literStandard Deviation 61.83
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationDay 161.34 Microgram / literStandard Deviation 82.04
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationDay 8563.16 Microgram / literStandard Deviation 56.64
Part II: PlaceboPart II: Ferritin as Biomarker for Systemic InflammationDay 1524.61 Microgram / literStandard Deviation 17.41
Secondary

Part II: Fibrinogen as Biomarker for Systemic Inflammation

Fibrinogen is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. Fibrinogen was measured in serum using an Electrochemiluminescence immunoassay (ECLIA). No methods for imputation of missing data were used.

Time frame: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationBaseline2.66 Gram / literStandard Deviation 0.76
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationDay 12.61 Gram / literStandard Deviation 0.81
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationDay 152.65 Gram / literStandard Deviation 0.62
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationDay 292.53 Gram / literStandard Deviation 0.54
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationDay 573.01 Gram / literStandard Deviation 0.68
Part I: CDZ173 10 mgPart II: Fibrinogen as Biomarker for Systemic InflammationDay 852.81 Gram / literStandard Deviation 0.57
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationDay 572.83 Gram / literStandard Deviation 1.13
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationBaseline2.68 Gram / literStandard Deviation 0.44
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationDay 292.66 Gram / literStandard Deviation 0.58
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationDay 12.65 Gram / literStandard Deviation 0.42
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationDay 852.61 Gram / literStandard Deviation 0.57
Part II: PlaceboPart II: Fibrinogen as Biomarker for Systemic InflammationDay 152.67 Gram / literStandard Deviation 0.42
Secondary

Part I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173

Venous whole blood samples were collected for activity-based pharmacokinetics characterization. AUClast was calculated from plasma concentration-time data using non-compartmental methods. AUClast was calculated at the first day of every CDZ173 dose level (10, 30 and 70 mg) for Part I and (70 mg) for Part II. No methods for imputation of missing data were used.

Time frame: Part I: Days 1, 29 and 57 / Part II: Day 1

Population: Pharmacokinetics (PK) Analysis Set

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173Day 294760.0 Hour * nanogram / millilitreStandard Deviation 816
Part I: CDZ173 10 mgPart I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173Day 5710800.0 Hour * nanogram / millilitreStandard Deviation 3310
Part I: CDZ173 10 mgPart I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173Day 11760.0 Hour * nanogram / millilitreStandard Deviation 441
Part II: PlaceboPart I & II: Area Under the Plasma Concentration-time Curve From Time Zero to the Last Quantifiable Concentration (AUClast) for CDZ173Day 110400.0 Hour * nanogram / millilitreStandard Deviation 2800
Secondary

Part I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic Inflammation

High Sensitivity C reactive protein is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. HsCRP was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 1, 15, 29, 57, 84 / Part II: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at that time point were included (no imputation for missing data).

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 150.93 Milligram / literStandard Deviation 0.7
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationBaseline2.49 Milligram / literStandard Deviation 1.29
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 290.77 Milligram / literStandard Deviation 0.36
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)2.82 Milligram / literStandard Deviation 4.11
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 12.43 Milligram / literStandard Deviation 1.43
Part I: CDZ173 10 mgPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 571.20 Milligram / literStandard Deviation 0.71
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 18.95 Milligram / literStandard Deviation 14.56
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationBaseline10.58 Milligram / literStandard Deviation 17.84
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 159.19 Milligram / literStandard Deviation 23.12
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 295.55 Milligram / literStandard Deviation 11.21
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 576.57 Milligram / literStandard Deviation 9.18
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)7.54 Milligram / literStandard Deviation 18.37
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 17.85 Milligram / literStandard Deviation 4.88
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)2.65 Milligram / literStandard Deviation 1.79
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 578.90 Milligram / literStandard Deviation 16.66
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 152.06 Milligram / literStandard Deviation 1.02
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationBaseline5.70 Milligram / literStandard Deviation 2.19
Part II: PlaceboPart I & II: High Sensivity C Reactive Protein (hsCRP) as Biomarker for Systemic InflammationDay 292.40 Milligram / literStandard Deviation 1.75
Secondary

Part I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic Inflammation

Lactate dehydrogenase is a blood test biomarker for inflammation in the body. Sequential blood samples were collected in all participants. LDH was measured in serum using a latex immunochemilunminometric assay (ICMA). No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 1, 15, 29, 57, 84 / Part II: Baseline and Days 1, 15, 29, 57, 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 15132.17 Units / literStandard Deviation 11.44
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationBaseline130.42 Units / literStandard Deviation 18.28
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 29125.17 Units / literStandard Deviation 9.85
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)142.60 Units / literStandard Deviation 18.53
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 1132.17 Units / literStandard Deviation 23.1
Part I: CDZ173 10 mgPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 57135.50 Units / literStandard Deviation 17.66
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 1170.88 Units / literStandard Deviation 72.28
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationBaseline172.92 Units / literStandard Deviation 72.25
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 15190.94 Units / literStandard Deviation 71.54
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 29227.17 Units / literStandard Deviation 163.41
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 57193.11 Units / literStandard Deviation 64.75
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)190.63 Units / literStandard Deviation 57.62
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 1175.71 Units / literStandard Deviation 53.72
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 84 (Part I) / Day 85 (Part II)179.13 Units / literStandard Deviation 73.96
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 57167.14 Units / literStandard Deviation 40.45
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 15155.14 Units / literStandard Deviation 48.09
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationBaseline169.38 Units / literStandard Deviation 41.95
Part II: PlaceboPart I & II: Lactate Dehydrogenase (LDH) as Biomarker for Systemic InflammationDay 29185.25 Units / literStandard Deviation 51.62
Secondary

Part I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173

Venous whole blood samples were collected for activity-based pharmacokinetics characterization. Cmax was calculated from plasma concentration-time data using non-compartmental methods. Cmax was calculated at the first day of every CDZ173 dose level (10, 30 and 70 mg) for Part I and (70 mg) for Part II. No methods for imputation of missing data were used.

Time frame: Part I: Days 1, 29 and 57 / Part II: Day 1

Population: Pharmacokinetics (PK) Analysis Set

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173Day 1393.0 Nanogram / millilitreStandard Deviation 137
Part I: CDZ173 10 mgPart I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173Day 291060.0 Nanogram / millilitreStandard Deviation 222
Part I: CDZ173 10 mgPart I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173Day 572540.0 Nanogram / millilitreStandard Deviation 747
Part II: PlaceboPart I & II: Maximum Observed Plasma Concentration (Cmax) for CDZ173Day 12150.0 Nanogram / millilitreStandard Deviation 576
Secondary

Part I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) Survey

The SF-36 is a widely used and extensively studied instrument to measure health-related quality of life (HRQoL) among healthy subjects and patients with acute and chronic conditions. It consists of eight subscales that can be scored individually: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. The subscales are aggregated to derive two overall summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS) scores. PCS and MCS scores range from 0 to 100 with a higher score indicating a more favorable health state (range = 0 worst - 100 best). No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85

Population: Pharmacodynamic (PD) analysis set

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Physical Component Summary47.54 Score on a scaleStandard Deviation 9.24
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Mental Component Summary47.94 Score on a scaleStandard Deviation 8.22
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Physical Component Summary47.54 Score on a scaleStandard Deviation 9.24
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Mental Component Summary47.94 Score on a scaleStandard Deviation 8.22
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Physical Component Summary47.54 Score on a scaleStandard Deviation 9.24
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Mental Component Summary47.94 Score on a scaleStandard Deviation 8.22
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Mental Component Summary47.94 Score on a scaleStandard Deviation 8.22
Part I: CDZ173 10 mgPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Physical Component Summary47.54 Score on a scaleStandard Deviation 9.24
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Physical Component Summary44.49 Score on a scaleStandard Deviation 7.08
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Mental Component Summary47.36 Score on a scaleStandard Deviation 7.98
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Mental Component Summary49.22 Score on a scaleStandard Deviation 8.17
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Physical Component Summary47.59 Score on a scaleStandard Deviation 6.22
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Physical Component Summary47.04 Score on a scaleStandard Deviation 7.3
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Mental Component Summary49.98 Score on a scaleStandard Deviation 8.06
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Physical Component Summary47.87 Score on a scaleStandard Deviation 7.66
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Mental Component Summary49.12 Score on a scaleStandard Deviation 8.17
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Physical Component Summary47.48 Score on a scaleStandard Deviation 8.48
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Mental Component Summary45.94 Score on a scaleStandard Deviation 8.14
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay -1: Physical Component Summary44.06 Score on a scaleStandard Deviation 8.59
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Mental Component Summary49.52 Score on a scaleStandard Deviation 6.7
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 29: Physical Component Summary44.62 Score on a scaleStandard Deviation 7.57
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Mental Component Summary45.92 Score on a scaleStandard Deviation 7.31
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 57: Physical Component Summary47.20 Score on a scaleStandard Deviation 9.75
Part II: PlaceboPart I & II: Mental Component Summary (MCS) and Physical Component Summary (PCS) From Short Form 36 (SF-36) SurveyDay 84 (Part I) / Day 85 (Part II): Mental Component Summary47.32 Score on a scaleStandard Deviation 8.73
Secondary

Part I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)

The Work Productivity Activity Impairment (WPAI) questionnaire measures the amount of absence or presence for work attendance and daily work activity impairment attributable to APDS/PASLI. As younger participants (age 12 and above) were enrolled in the study the WPAI-CIQ was used for all participants as it also measures the amount of absence or presence for school attendance and daily classroom activity impairment. Participants responded for classroom or work-related questions depending on their situation. WPAI-CIQ consists of 10 questions that yield 4 types of scores: absenteeism, presenteeism, work/classroom productivity loss and activity impairment. The Overall classroom impairment due to health (%) score ranges from 0 to 100% with 100% indicating total classroom impairment and 0% no impairment at all. A higher percentage indicates a negative outcome. No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85

Population: Pharmacodynamic (PD) analysis set. Only the participants that responded the classroom-related questions from the WPAI-CIQ and with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5770.13 PercentageStandard Deviation 18.68
Part I: CDZ173 10 mgPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline65.68 PercentageStandard Deviation 33.49
Part I: CDZ173 10 mgPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)68.52 PercentageStandard Deviation 18.74
Part I: CDZ173 10 mgPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 2957.30 PercentageStandard Deviation 18.09
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5712.14 PercentageStandard Deviation 3.03
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 290.00 PercentageStandard Deviation 0
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)51.00 PercentageStandard Deviation 0
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline47.33 PercentageStandard Deviation 44.75
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)5.00 PercentageStandard Deviation 7.07
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline23.75 PercentageStandard Deviation 30.92
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 2922.65 PercentageStandard Deviation 24.37
Part II: PlaceboPart I & II: Overall Classroom Impairment Due to Health Score From the Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5722.40 PercentageStandard Deviation 26.16
Secondary

Part I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)

The Work Productivity Activity Impairment (WPAI) questionnaire measures the amount of absence or presence for work attendance and daily work activity impairment attributable to APDS/PASLI. As younger participants (age 12 and above) were enrolled in the study the WPAI-CIQ was used for all participants as it also measures the amount of absence or presence for school attendance and daily classroom activity impairment. Participants responded for classroom or work-related questions depending on their situation. WPAI-CIQ consists of 10 questions that yield 4 types of scores: absenteeism, presenteeism, work/classroom productivity loss and activity impairment. The Overall work impairment due to health (%) score ranges from 0 to 100% with 100% indicating total work impairment and 0% no impairment at all. No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85

Population: Pharmacodynamic (PD) analysis set. Only the participants that responded the work-related questions from the WPAI-CIQ and with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline25.00 PercentageStandard Deviation 35.36
Part I: CDZ173 10 mgPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 2944.00 PercentageStandard Deviation 0
Part I: CDZ173 10 mgPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5762.31 PercentageStandard Deviation 0
Part I: CDZ173 10 mgPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)44.41 PercentageStandard Deviation 7.9
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)35.59 PercentageStandard Deviation 31.85
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline51.25 PercentageStandard Deviation 37.23
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5735.49 PercentageStandard Deviation 24.7
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 2935.31 PercentageStandard Deviation 23.12
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 84 (Part I) / Day 85 (Part II)25.00 PercentageStandard Deviation 7.07
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 295.00 PercentageStandard Deviation 7.07
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Day 5710.00 PercentageStandard Deviation 14.14
Part II: PlaceboPart I & II: Overall Work Impairment Due to Health Score From Work Productivity Activity Impairment and Classroom Impairment Questionnaire (WPAI-CIQ)Baseline5.00 PercentageStandard Deviation 7.07
Secondary

Part I & II: Patient's Global Assessment (PtGA)

In the patient's global assessment questionnaire patients are asked about their APDS/PASLI related well-being using 100 mm visual analogue scale (VAS) ranging from very poor (0) to very good (100). No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85

Population: Pharmacodynamic (PD) analysis set

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Patient's Global Assessment (PtGA)Baseline62.0 Score on a ScaleStandard Deviation 21.9
Part I: CDZ173 10 mgPart I & II: Patient's Global Assessment (PtGA)Day 2965.0 Score on a ScaleStandard Deviation 22.21
Part I: CDZ173 10 mgPart I & II: Patient's Global Assessment (PtGA)Day 5767.5 Score on a ScaleStandard Deviation 21.83
Part I: CDZ173 10 mgPart I & II: Patient's Global Assessment (PtGA)Day 84 (Part I) / Day 85 (Part II)72.5 Score on a ScaleStandard Deviation 13.37
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 84 (Part I) / Day 85 (Part II)67.58 Score on a ScaleStandard Deviation 16.57
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Baseline54.53 Score on a ScaleStandard Deviation 21.47
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 5764.79 Score on a ScaleStandard Deviation 19.61
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 2968.37 Score on a ScaleStandard Deviation 19.31
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 84 (Part I) / Day 85 (Part II)60.25 Score on a ScaleStandard Deviation 23.66
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 2957.75 Score on a ScaleStandard Deviation 24.03
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Day 5769.50 Score on a ScaleStandard Deviation 21.93
Part II: PlaceboPart I & II: Patient's Global Assessment (PtGA)Baseline62.50 Score on a ScaleStandard Deviation 26.56
Secondary

Part I & II: Physician's Global Assessment (PGA)

In the physician's global assessment questionnaire the Investigator rated the disease activity of their patient using 100 mm Visual analogue Scale (VAS) ranging from no disease activity (0) to maximal disease activity (100). To enhance objectivity, the physician was not aware of the specific patient's global assessment, when performing his own assessment on that patient. No methods for imputation of missing data were used.

Time frame: Part I: Baseline and Days 29, 57 and 84 / Part II: Baseline and Days 29, 57 and 85

Population: Pharmacodynamic (PD) analysis set. At each time point, only participants with a value at both baseline and that time point were included.

ArmMeasureGroupValue (MEAN)Dispersion
Part I: CDZ173 10 mgPart I & II: Physician's Global Assessment (PGA)Baseline34.7 Score on a scaleStandard Deviation 17.07
Part I: CDZ173 10 mgPart I & II: Physician's Global Assessment (PGA)Day 2921.8 Score on a scaleStandard Deviation 9.7
Part I: CDZ173 10 mgPart I & II: Physician's Global Assessment (PGA)Day 5722.5 Score on a scaleStandard Deviation 13.55
Part I: CDZ173 10 mgPart I & II: Physician's Global Assessment (PGA)Day 84 (Part I) / Day 85 (Part II)8.8 Score on a scaleStandard Deviation 4.12
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 84 (Part I) / Day 85 (Part II)26.70 Score on a scaleStandard Deviation 22.82
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Baseline47.10 Score on a scaleStandard Deviation 17.65
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 5734.02 Score on a scaleStandard Deviation 18.89
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 2938.81 Score on a scaleStandard Deviation 23.73
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 84 (Part I) / Day 85 (Part II)25.88 Score on a scaleStandard Deviation 16.15
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 2929.75 Score on a scaleStandard Deviation 9.99
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Day 5724.13 Score on a scaleStandard Deviation 18.34
Part II: PlaceboPart I & II: Physician's Global Assessment (PGA)Baseline41.38 Score on a scaleStandard Deviation 17.78

Source: ClinicalTrials.gov · Data processed: Jun 6, 2026