Evidence map›Paper›PMID 42113020›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.

David D Yang, Aya Abdelnaser, Alexander J Haas, Jeremiah Wala, Alfred A Barney, Eddy Saad, Jett P Crowdis, Cora A Ricker, Seifeldin Awad, Bora Gurel and 12 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

David D YangDepartment of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-5146-218X
Aya AbdelnaserDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0005-5615-2016
Alexander J HaasDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0009-0004-6718-6708
Jeremiah WalaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6591-1620
Alfred A BarneyDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0009-0002-0612-5050
Eddy SaadDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-8700-9312
Jett P CrowdisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-4777-7303
Cora A RickerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-1202-5603
Seifeldin AwadDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-1787-6696
Bora GurelThe Institute of Cancer Research , London, United Kingdom.ORCID 0000-0002-5018-8078
Jihye ParkDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-4451-2046
Martin T KingDepartment of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-4097-5107
Paul L NguyenDepartment of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0003-4268-3973
Toni K ChoueiriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-9201-3217
David J EinsteinDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0001-9163-3281
Steven P BalkDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-4546-7371
Alok K TewariDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2617-7499
Johann S de BonoThe Institute of Cancer Research , London, United Kingdom.ORCID 0000-0002-2034-595X
Keyan SalariBroad Institute, Cambridge, Massachusetts.ORCID 0000-0001-7940-4558
Mary-Ellen TaplinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-3384-0300
Chin-Lee WuDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-0444-0068
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-0201-4444

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Wanling Xie · 2003 to 2026
$53.4M
Steroid Metabolism in Castration-Resistant Prostate CancerP01CA163227 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Steven P. Balk · 2013 to 2026
$25.0M
Molecular Determinants of Response and Resistance to EZH2 and PARP inhibition in Prostate CancerP50CA272390 · NCI · DANA-FARBER CANCER INST · PI Steven P. Balk, Himisha Beltran · 2023 to 2026
$12.0M
The Impact of DNA Damage Repair Abnormalities in Prostate CancerP01CA228696 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KANTOFF, PHILIP W · 2019 to 2024
$8.7M
Molecular and immune drivers of immunotherapy responsiveness in prostate cancerU01CA233100 · NCI · DANA-FARBER CANCER INST · PI FONG, LAWRENCE, VAN ALLEN, ELIEZER M · 2018 to 2022
$4.2M
National Institutes of Health (NIH) P01CA228696National Institutes of Health (NIH) P50CA272390NCI NIH HHS P01 CA163227NCI NIH HHS P01 CA228696NCI NIH HHS P30 CA006516NCI NIH HHS P50 CA101942NCI NIH HHS P50 CA272390NCI NIH HHS U01 CA233100Prostate Cancer Foundation (PCF) Challenge AwardProstate Cancer Foundation (PCF) Young Investigator AwardU.S. Department of Defense (DOD) HT94252410415U.S. Department of Defense (DOD) W81XWH-21-PCRP-DSA
6 · The paper itself

Abstract

purposeComputational pathology has emerged as an attractive option for improving risk stratification in prostate cancer, but most approaches either lack interpretability or focus solely on tumor morphology. We aimed to identify an interpretable, immune microenvironment-derived computational pathology biomarker for prostate cancer. EXPERIMENTAL

designWe identified two cohorts (discovery and validation) with M0 prostate cancer (n = 490) who were treated with radical prostatectomy, with hematoxylin and eosin-stained whole-slide images (WSI) and data on distant metastasis (DM). We identified a third cohort from The Cancer Genome Atlas with M0 prostate cancer (n = 326) with prostatectomy WSIs and bulk sequencing. Immune cells were identified from WSIs using a deep learning method (CellViT), and spatially dense immune clusters were quantified using density-based spatial clustering of applications with noise (DBSCAN). CIBERSORTx was utilized for immune cell deconvolution and TRUST4 for immune receptor repertoire reconstruction.

resultsMedian follow-up was 12.6 years (discovery) and 8.1 years (validation). Fourteen percent (n = 37, discovery) and seventeen percent (n = 38, validation) had Gleason 8 to 10 disease. Immune cell abundance was not associated with DM. In discovery, increased immune cluster was associated with decreased risk of DM for Gleason 8 to 10 (adjusted hazard ratio, 0.42; 95% confidence interval, 0.19-0.93) but not Gleason 6 to 7 (1.26, 0.77-2.05; Pint = 0.020), with similar results in validation (Gleason 8-10: 0.60, 0.37-0.98; Gleason 6-7: 1.19, 0.74-1.91; Pint = 0.043). In Gleason 8 to 10 but not 6 to 7, high-cluster samples were enriched for CD8+ T cells, activated memory CD4+ T cells, regulatory T cells (P ≤ 0.037), and clonal T-cell populations (P ≤ 0.039).

conclusionsThese findings propose immune spatial clustering as a novel, interpretable computational pathology biomarker and provide insight into the unique immune features of high-grade prostate cancer.

Indexed as

Biomarkers, TumorProstatic NeoplasmsTumor MicroenvironmentAgedHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedNeoplasm GradingNeoplasm MetastasisPrognosisProstatectomyBiomarkers, Tumor

Identifiers

PMID42113020
PMCPMC13256254

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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.