Personalized integrated therapy for patients with advanced kidney cancer MedDRA version: 18.0 Level: PT Classification code 10050018 Term: Renal cancer metastatic System Organ Class: 10029104 - Neoplasms benign, malignant and unspecified (incl cysts and polyps)
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: - Advanced Kidney Cancer (KC) disase at time of diagnosis - Eligible for nephractomy - Male and female patients > 18 years - At least one measurable lesion (>10mm on CT-scan) according to RECIST 1.1 - No prior medically or radiation treatment for their current KC diagnosis - Eastern Cooperative Oncology Group (ECOG) performance status 1 or lower (See Appendix x) - No contraindications for PET/CT or mpMRI - Biochemistry and hematology lab values within normal reference ranges - Be able to use recommended dose of the selected targeted therapy as described in the drug specific Summary of Product Characteristics (SPC) - Fertile men and women must be willing to use effective contraceptives as described in section xx to prevent pregnancy - Signed informed consent and expected cooperation of the patients for the treatment and follow up must be obtained and documented according to ICH GCP, and national/local regulations. Are the trial subjects under 18? no Number of subjects for this age range: F.1.2 Adults (18-64 years) yes F.1.2.1 Number of subjects for this age range 5 F.1.3 Elderly (>=65 years) yes F.1.3.1 Number of subjects for this age range 15
Exclusion criteria
Exclusion criteria: - Metastatic disease from more than one malignancy - Untreated or symptomatic brain metastasis (patients must be symptom-free without the use of corticosteroids) - Any reason why, in the opinion of the investigator, the patient should not participate - Pregnancy and breastfeeding - Need to use medications contraindicated according to SPC of the different study drugs
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Main Objective: The proposed interdisciplinary translational project will assist in the decision-making process for individualizing patient treatment. With our integrated approach we want to assess the feasibility of using molecular profiling, MP (gene expression in normal and tumor DNA) of a patients’ tumor to find actionable driver mutations for their resistant renal cell cancer, and optimize the therapeutic decision process by identifying the dominating metastatic structure, and using this method in 2nd line treatment to find the right personalized treatment for patients with resistant renal cell cancer.;Secondary Objective: • To explore and compare the original genotype findings and the potential mechanism of treatment resistance • Assessment of tumor glucose metabolism • To evaluate health-related quality of life changes from baseline ;Primary end point(s): To determine this objective we will compare treatment response for personalized therapy based on a patient’s tumor (Treatment Period 2, TP2) with the treatment response for the most recent therapy on which the patient experienced progression (Treatment Period 1, TP1) (N-of-1 design). We hypothesize that patients will have an increased PFS at the end of second line treatment compared to the first line treatment. If the PFS of TP2 / PFS of TP1 ratio is = 1.3, the therapy selected based on the molecular profiling is defined as having benefit for the patient ;Timepoint(s) of evaluation of this end point: Screening, week 12 and thereafter every 6th months. | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary end point(s): - Gene alteration/expression status in tumor tissue and ctDNA - SUVs (standardized uptake value) acquired from FDG-PET/CT ;Timepoint(s) of evaluation of this end point: Screening, week 12 and thereafter every 6th months. | — |
Countries
Norway
Contacts
Oslo University Hospital