Evidence map›Paper›PMID 40493417›Full record

ArticleThe Journal of clinical investigation2025

Patterns of intra- and intertumor phenotypic heterogeneity in lethal prostate cancer.

Martine P Roudier, Roman Gulati, Erolcan Sayar, Radhika A Patel, Micah Tratt, Helen M Richards, Paloma Cejas, Miguel Munoz Gomez, Xintao Qiu, Yingtian Xie and 35 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

45 authors.

Martine P RoudierDepartment of Urology, University of Washington, Seattle, Washington, USA.
Roman GulatiDivision of Public Health Sciences and.
Erolcan SayarDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Radhika A PatelDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Micah TrattDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Helen M RichardsDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Paloma CejasCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Miguel Munoz GomezCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Xintao QiuCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Yingtian XieCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Brian HanrattyDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Samir ZaidiCenter of Molecular and Cellular Oncology, Yale Cancer Center, New Haven, Connecticut, USA.
Jimmy L ZhaoAstraZeneca Oncology R&D, New York, New York, USA.
Mohamed AdilDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Chitvan MittalDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Yibai ZhaoDivision of Public Health Sciences and.
Ruth DumpitDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Ilsa ColemanDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Jin-Yih LowDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Thomas PersseDivision of Public Health Sciences and.
Patricia GalipeauDivision of Public Health Sciences and.
John K LeeDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Maria TretiakovaDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Meagan ChambersDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Funda Vakar-LopezDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Lawrence D TrueDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Marie PerroneDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Hung-Ming LamDepartment of Urology, University of Washington, Seattle, Washington, USA.
Lori A KollathDepartment of Urology, University of Washington, Seattle, Washington, USA.
Chien-Kuang Cornelia DingDepartment of Anatomic Pathology, University of California, San Francisco, San Francisco, California, USA.
Stephanie HarmonMolecular Imaging Branch, National Cancer Institute, NIH, Bethesda, Maryland, USA.
Heather H ChengDivision of Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Evan Y YuDivision of Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Robert B MontgomeryDivision of Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Jessica E HawleyDivision of Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Daniel W LinDepartment of Urology, University of Washington, Seattle, Washington, USA.
Eva CoreyDepartment of Urology, University of Washington, Seattle, Washington, USA.
Michael T SchweizerDivision of Clinical Research, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Manu SettyDivision of Public Health Sciences and.
Gavin HaDivision of Public Health Sciences and.
Charles L SawyersHuman Oncology and Pathogenesis Program and.
Colm MorrisseyDepartment of Urology, University of Washington, Seattle, Washington, USA.
Henry LongCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Peter S NelsonDepartment of Urology, University of Washington, Seattle, Washington, USA.
Michael C HaffnerDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, Washington, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Steroid Metabolism in Castration-Resistant Prostate CancerP01CA163227 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Henry W. Long · 2013 to 2026
$25.0M
Project 3: Analysis of intrinsic and extrinsic factors that promote prostate neuroendocrine differentiationP01CA265768 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Massimo Loda · 2022 to 2026
$13.4M
Role of ETS factors in specifying prostate luminal cell identity and androgen receptor dependenceR01CA193837 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SAWYERS, CHARLES L. · 2015 to 2025
$4.7M
Evaluating prostate cancer phenotype and genotype classification from circulating tumor DNA as biomarkers for predicting treatment outcomesR01CA280056 · NCI · FRED HUTCHINSON CANCER CENTER · PI Gavin Ha, PETER S NELSON · 2023 to 2026
$2.4M
Augmenting PSMA expression to enhance PSMA directed therapeutic efficacyR37CA286450 · NCI · FRED HUTCHINSON CANCER CENTER · PI Michael C Haffner, Michael T Schweizer · 2024 to 2026
$2.1M
Defining and Targeting Lineage Transition Programs Operative in AR Pathway Independent Prostate CancerR01CA234715 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NELSON, PETER S · 2020 to 2024
$2.0M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
Targeting Vulnerabilities Exposed by Cancer Treatment-Induced Lineage PlasticityR01CA266452 · NCI · FRED HUTCHINSON CANCER CENTER · PI PETER S NELSON · 2022 to 2026
$2.0M
NCI NIH HHS K08 CA282978NCI NIH HHS P01 CA163227NCI NIH HHS P01 CA265768NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA097186NCI NIH HHS R01 CA193837NCI NIH HHS R01 CA234715NCI NIH HHS R01 CA266452NCI NIH HHS R01 CA280056NCI NIH HHS R37 CA286450NCI NIH HHS R50 CA221836NCI NIH HHS R50 CA274336NIH HHS S10 OD028685
6 · The paper itself

Abstract

Metastatic prostate cancer (mPC) is a clinically and molecularly heterogeneous disease. While there is increasing recognition of diverse tumor phenotypes across patients, less is known about the molecular and phenotypic heterogeneity present within an individual. In this study, we aimed to define the patterns, extent, and consequences of inter- and intratumoral heterogeneity in lethal prostate cancer. By combining and integrating in situ tissue-based and sequencing approaches, we analyzed over 630 tumor samples from 52 patients with mPC. Our efforts revealed phenotypic heterogeneity at the patient, metastasis, and cellular levels. We observed that intrapatient intertumoral molecular subtype heterogeneity was common in mPC and showed associations with genomic and clinical features. Additionally, cellular proliferation rates varied within a given patient across molecular subtypes and anatomic sites. Single-cell sequencing studies revealed features of morphologically and molecularly divergent tumor cell populations within a single metastatic site. These data provide a deeper insight into the complex patterns of tumoral heterogeneity in mPC with implications for clinical management and the future development of diagnostic and therapeutic approaches.

Indexed as

Genetic HeterogeneityProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm MetastasisPhenotypeSingle-Cell AnalysisCell biologyMolecular pathologyOncologyProstate cancerUrology

Identifiers

PMID40493417
PMCPMC12321404

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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.