©istock.com/Andrea Obzerova
Interdisciplinary CompetenceMolecular Diagnostics
Know how in the analysis of genetic material.
For the benefit of patients.

IllnessProstate cancer, hereditary; Olaparib therapy

Summary

Short information

Comprehensive panel to decide on PARP inhibitor therapy for Prostate cancer comprising 2 guideline-curated genes

ID
OP1009
Number of genes
2 Accredited laboratory test
Examined sequence length
15,9 kb (Core-/Core-canditate-Genes)
- (Extended panel: incl. additional genes)
Analysis Duration
on request
Test material
  • EDTA-anticoagulated blood (3-5 ml)
Diagnostic indications

NGS +

Sanger

 

Gene panel

Selected genes

NameExon Length (bp)OMIM-GReferenz-Seq.Heredity
BRCA15592NM_007294.4-
BRCA210257NM_000059.4AD, SMu

Informations about the disease

Clinical Comment

20-30% of men with metastatic, castration-resistant prostate cancer have inherited and/or somatic mutations in the BRCA genes, with only about 52 and 34% of those affected carrying a BRCA2 or BRCA1 mutation in the germ line (1, 2). Following breast, ovarian, peritoneal and pancreatic cancer, the PARP inhibitor olaparib has also been approved by the European Medicines Agency (EMA) for the treatment of patients with metastatic, castration-resistant prostate cancer who had previously received antihormone therapy or chemotherapy (3). The approval is based on the Phase III clinical trial PROfound, which demonstrated that patients with somatic BRCA1/2 mutations benefit from olaparib therapy. Progression-free survival of patients with BRCA-mutated tumors increased from 14.7 months (placebo) to 19.1 months on olaparib (2).

References:

(1) https://www.nejm.org/doi/10.1056/NEJMoa1911440

(2) https://ascopubs.org/doi/full/10.1200/PO.19.00345

(3) https://www.krebsinformationsdienst.de/fachkreise/nachrichten/2020/fk22-prostatakrebs-olaparib-lynparza-zulassung.php

 

Synonyms
  • Alias: Olaparib-Therapie
  • Prostata-Karzinom, hereditär
Heredity, heredity patterns etc.
  • -
  • AD
  • SMu
OMIM-Ps
  • Multiple OMIM-Ps
ICD10 Code

Bioinformatics and clinical interpretation

No text defined