Evidence map›Paper›PMID 41878526›Full record

ArticleFrontiers in oncology2026

Real-world precision medicine data in metastatic prostate cancer - a retrospective cohort study.

Awais Paracha, Derek Tran, Margot Noyelle, Jonathan Kapilian, Zohair Siddiqui, Adrian Choppa, Anthony Corsi, Jacob Stone, Xin-Hua Zhu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. 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

9 authors.

Awais Paracha *Department of Medicine, Northwell Health, New Hyde Park, NY, United States.
Derek Tran *Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Margot NoyelleDepartment of Medicine, Thomas Jefferson University, Philadelphia, PA, United States.
Jonathan KapilianDepartment of Medicine, California Pacific Medical Center, San Francisco, CA, United States.
Zohair SiddiquiDepartment of Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States.
Adrian ChoppaDepartment of Medicine, Northwell Health, New Hyde Park, NY, United States.
Anthony CorsiDepartment of Medicine, Northwell Health, New Hyde Park, NY, United States.
Jacob StoneDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
Xin-Hua ZhuNorthwell Health Cancer Institute, Northwell Health, New Hyde Park, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PC) is the most common cancer in men in the United States with a 5-year relative survival rate for people with distant metastases of 36%. We conducted a single institution, retrospective cohort study of patients with metastatic PC to investigate whether certain gene mutations can be used as predictive biomarkers. Methods: 200 patients with metastatic hormone sensitive (mHSPC) and castration resistant (mCRPC) prostate cancer who had a FoundationOne report and were treated from June 2007 to October 2024 were included in the study. Disease progression was evaluated according to RECIST criteria, PCWG3 criteria, and PSA values. Assessed gene mutations included Results: Among 200 patients, there were 182 patients with mHSPC and 174 patients with mCRPC. Average age at diagnosis of metastatic disease was 71.5, ECOG was 0.76, and median PSA was 75.6 ng/mL. 152 patients had high-volume disease. 102 patients passed away. Patients with a Conclusions:

Indexed as

HRRmCRPCmetastatic castrate-resistant prostate cancermetastatic hormone-sensitive prostate cancermetastatic prostate cancermHSPCNGS - next generation sequencingprecision medicine

Identifiers

PMID41878526
PMCPMC13006266

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