Evidence map›Paper›PMID 39836208›Full record

ArticleUrologie (Heidelberg, Germany)2025

[Next generation sequencing (NGS)-based molecular panel analysis for metastatic prostate cancer: how often can we detect druggable mutations? : NGS for metastatic adenocarcinoma of the prostate].

Olivia Steenbock, Pia Paffenholz, Constantin Rieger, Julian Heidenreich, David Pfister, Melanie von Brandenstein, Axel Heidenreich

Abstract readEnglish Abstract
In one paragraph

Article in Urologie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Olivia SteenbockKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
Pia PaffenholzKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
Constantin RiegerKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
Julian HeidenreichKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
David PfisterKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
Melanie von BrandensteinKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.
Axel HeidenreichKlinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland. axel.heidenreich@uk-koeln.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionProstate cancer guidelines recommend molecular analysis of biomaterial following resistance to first-line systemic therapy in order to identify druggable mutations. We report on our results of molecular analysis of tissue specimens via next generation sequencing (NGS) in men with metastatic castration resistant prostate cancer (mCRPC). PATIENTS AND

methodsIn all, 311 mCRPC patients underwent NGS analysis from biopsy samples of progressive metastatic lesions or archival radical prostatectomy specimens. NGS analysis was either performed using a panel of 18 prostate cancer-specific amplicons or via the TS0500 panel.

resultsOf the 311 biopsies, 299 (96%) revealed sufficient DNA content for NGS analysis independent on the specimen origin. Biopsies were taken from prostate (31%), lymph nodes (26%), visceral (17%) or osseous (18%) metastases. In 223 (75%) and 76 (25%) patients activating/inhibiting and no mutations were identified, respectively. Most frequently, mutations of HRD genes including a positive HRD score and p53 were identified in 22% of patients each. About 50% of HRD gene mutations were pathogenic and treatment with PARP inhibitors was initiated. Although the majority of p53 alterations were inactivating mutations, 3 patients demonstrated gain-of-function mutations resulting in an inactivation of ATM. Activating androgen receptor mutations and inactivating PTEN mutations were identified in 42 (14%) and 24 (8%) patients, respectively. Specific AR mutations resulted in a switch of hormonal therapy. Mutations of mismatch repair deficiency genes/MSI high were identified in 5 patients resulting in the administration of pembrolizumab. Addition of the TSO 500 panel identified additional mutations in 4.5% of patients and only 2% of the total cohort would have benefitted from this large panel with the identification of druggable mutations.

conclusionDruggable mutations were identified in one third of mCRPC patients using an 18 amplicon-panel analyzed via NGS. Based on our data, molecular analysis of AR mutations or mutations of the HRD genes should be performed following progression after first-line hormonal therapy. A more extensive molecular analysis seems to be useful following progression to the standard sequential hormonal, cytotoxicand radioligand therapies. Use of the expensive TSO 500 panel seems to be of additional therapeutic value in only a minority of patients.

Indexed as

AdenocarcinomaHigh-Throughput Nucleotide SequencingMutationProstatic Neoplasms, Castration-ResistantAgedAged, 80 and overDNA Mutational AnalysisHumansMaleMiddle AgedNeoplasm MetastasisAndrogen deprivationCastration resistant prostate neoplasmsMolecular diagnosticsPARP inhibitorsPersonalized medicineTargeted therapy

Identifiers

PMID39836208
PMCPMC11893637

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.