Evidence map›Paper›PMID 41307785›Full record

ArticleDiscover oncology2025

Predictive molecular alterations of prostate cancer brain metastases based on a companion diagnostic assay.

Antonio Rodríguez-Calero, Andrej Benjak, Sina Maletti, Dilara Akhoundova Sanoyan, Martin Zoche, Marta Nowak, Holger Moch, Mark A Rubin

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Antonio Rodríguez-Calero *Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Andrej Benjak *Department for BioMedical Research, University of Bern, Bern, Switzerland.
Sina MalettiDepartment for BioMedical Research, University of Bern, Bern, Switzerland.
Dilara Akhoundova SanoyanDepartment for BioMedical Research, University of Bern, Bern, Switzerland.
Martin ZocheDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zürich, Switzerland.
Marta NowakDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zürich, Switzerland.
Holger MochDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zürich, Switzerland.
Mark A RubinDepartment for BioMedical Research, University of Bern, Bern, Switzerland. mark.rubin@unibe.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current first-line treatment standard for patients with metastatic prostate cancer (mPCa), is a combination of androgen deprivation therapy (ADT) and androgen receptor pathway inhibitors (ARPI), plus the addition of docetaxel for fit patients with high-volume or high-risk disease. This upfront treatment is highly effective, however, the emergence of acquired resistance is nearly universal, upon which, molecular predictive biomarkers are needed for further targeted therapies. Genomic studies have identified a population of 20-30% prostate cancer (PCa) patients harboring tumor DNA damage repair (DDR) alterations. Recent clinical trials have shown that treatment with PARP inhibitors (PARPi) achieve high response rates in tumors with BRCA1- and BRCA2-pathogenic alterations. Patients with metastatic castration-resistant PCa (mCRPC) harboring these alterations showed the highest overall survival benefit. Prostate cancer brain metastases (PCBM) is a usual exclusion criterion for clinical trials in part due to expected poor outcome. Recent work from our group in Switzerland has shown that 19.6% of patients with prostate cancer brain metastases (PCBM) had genomic alterations in homologous recombination repair (HRR) genes. However, the study was done using a research genomic assay. To maximize clinical relevance, in this work we analyzed 46 men suffering from PCBM from the same cohort using the FDA approved companion diagnostic FoundationOne®CDx assay. We found that 12/44 patients (27.3%), from which a metastatic sample was available, harbored qualifying alterations for PARPi therapy. Additionally, we found 7/44 patients (15.9%) qualifying for immune check-point inhibitors therapy. We anticipate that these findings will improve the rate of molecular testing in mCRPC patients with brain metastases and advance personalized management of these patients.

Indexed as

Brain metastasisGenomicsHomologous recombination deficiencyHomologous recombination repairImmune checkpoint inhibitorsMetastatic castration resistant prostate cancerPARP inhibitorsPrecision medicineProstate cancerTargeted therapy

Identifiers

PMID41307785
PMCPMC12748413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.