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Prostate cancer is the most common cancer in men. Its incidence is rising as the population ages. In the localized stage, the 5-year overall survival rate (OS) is 98%. Metastatic progression and resistance to castration have a negative impact on prognosis. Despite recent advances in management, the 5-year OS is around 30%. Therapeutic advances in this indication have been made mainly by the use of taxanes and second-generation hormone therapy. These treatments have improved OS and progression-free survival (PFS). They are now used as standard therapy.
More recently, the Phase III VISION trial confirmed the improvement in OS and radiological PFS achieved by treatment with the radioligand 177Lutetium-PSMA-617 (Lu-PSMA) in patients with advanced metastatic castration-resistant prostate cancer (mCRPC).
This treatment is currently available in early access in France. Despite encouraging results, 40% of patients will not respond to Lu-PSMA, and there are currently no validated predictive factors. Studies are currently on going, but the identification of biomarkers seems necessary to better stratify risk in these patients.
Numerous tissue prognostic tests based on molecular characteristics or cell proliferation are emerging with this in mind. At present, molecular profiling is not a routine technique for prostate cancer, as it is for other solid cancers. At an early stage, the Decipher® Genomic classification tool has shown prognostic utility independently of therapeutic and clinico-pathological data.
According to recent studies, methylome analysis would enable the subdivision of mCRPCs and could help identify new therapeutic targets.
In the metastatic phase, certain molecular abnormalities involving DNA repair genes are predictive of response to PARP inhibitors.
Molecular analysis (mutations, copy number alterations, gene expression, DNA methylation) could therefore be useful in optimizing the management of mCRPC patients treated with Lu-PSMA.
If reliable molecular abnormalities are identified on tissue, a diagnostic technique based on circulating tumor DNA (ctDNA) analysis will be useful in decision-making for these patients. A biological collection will therefore be created during the course of this study, with a view to using ctDNA analysis in subsequent research.
Full description
Prostate cancer is the most common cancer in men. Its incidence is rising as the population ages. In the localized stage, the 5-year overall survival rate (OS) is 98%. Metastatic progression and resistance to castration have a negative impact on prognosis. Despite recent advances in management, the 5-year OS is around 30%. Therapeutic advances in this indication have been made mainly by the use of taxanes and second-generation hormone therapy. These treatments have improved OS and progression-free survival (PFS). They are now used as standard therapy.
More recently, the Phase III VISION trial confirmed the improvement in OS and radiological PFS achieved by treatment with the radioligand 177Lutetium-PSMA-617 (Lu-PSMA) in patients with advanced metastatic castration-resistant prostate cancer (mCRPC).
This treatment is currently available in early access in France. Despite encouraging results, 40% of patients will not respond to Lu-PSMA, and there are currently no validated predictive factors. Studies are currently on going, but the identification of biomarkers seems necessary to better stratify risk in these patients.
Numerous tissue prognostic tests based on molecular characteristics or cell proliferation are emerging with this in mind. At present, molecular profiling is not a routine technique for prostate cancer, as it is for other solid cancers. At an early stage, the Decipher® Genomic classification tool has shown prognostic utility independently of therapeutic and clinico-pathological data.
According to recent studies, methylome analysis would enable the subdivision of mCRPCs and could help identify new therapeutic targets.
In the metastatic phase, certain molecular abnormalities involving DNA repair genes are predictive of response to PARP inhibitors.
Molecular analysis (mutations, copy number alterations, gene expression, DNA methylation) could therefore be useful in optimizing the management of mCRPC patients treated with Lu-PSMA.
If reliable molecular abnormalities are identified on tissue, a diagnostic technique based on circulating tumor DNA (ctDNA) analysis will be useful in decision-making for these patients. A biological collection will therefore be created during the course of this study, with a view to using ctDNA analysis in subsequent research.
This is an interventional, multi-center study. The study is prospective, single-arm, open-label and non-randomized.
Its primary objective is to identify biomarkers of interest, in primary tissue, predictive of response to Lu-PSMA treatment in patients with mCRPC, through the detection of molecular abnormalities in DNA/RNA and methyloma.
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Inclusion and exclusion criteria
Inclusion Criteria:
Male >18 years of age
ECOG ≤ 2
Patient with histologically confirmed of metastatic castration resistant prostatic adenocarcinoma and with tumor biological material available (prostatic biopsies or prostatectomy)
Patient who received at least one taxane line and a second generation hormone therapy line
Patient receiving androgen deprivation therapy with serum testosterone < 50 ng/dL or < 1.7 nmol/L or having undergone surgical castration
Progressive mCRPC based based on at least 1 of the following criteria :
Patients with at least one metastasis, bone and/or soft tissue and/or visceral, documented by the following methods in the 43 days prior to inclusion :
Patient with Lu-PSMA treatment indication, confirmed by PET 68Ga-PSMA-11. Eligibility for 68Ga-PSMA-11 PET is defined as:
Adequate organ function :
Bone marrow reserve :
Hepatic function :
Renal function : Glomerular Filtration Rate (GFR) ≥ 50 mL/min/1.73m2 according to MDRD equation.
Obtaining the patient's free and informed consent
Social security scheme or beneficiary.
Exclusion Criteria :
Primary purpose
Allocation
Interventional model
Masking
120 participants in 1 patient group
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Central trial contact
Judith PASSILDAS JAHANMOHAN, PhD
Data sourced from clinicaltrials.gov
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