Evidence map›Paper›PMID 37676819›Full record

ArticleJournal of the National Cancer Institute2024

Molecular features of prostate cancer after neoadjuvant therapy in the phase 3 CALGB 90203 trial.

Takayuki Sumiyoshi, Xiaofei Wang, Evan W Warner, Andrea Sboner, Matti Annala, Michael Sigouros, Kevin Beja, Kei Mizuno, Shengyu Ku, Ladan Fazli and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Sparse-Input Neural Network using Group Concave Regularization.Transactions on machine learning research · 2025
    Article
  2. Article
  3. Computational analysis of treatment resistant cancer cells.Frontiers in cell and developmental biology · 2025
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Takayuki SumiyoshiVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Xiaofei WangEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Evan W WarnerVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Andrea SbonerEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Matti AnnalaVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Michael SigourosEnglander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-0328-8359
Kevin BejaVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Kei MizunoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Shengyu KuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Ladan FazliVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
James EasthamUrology Service at the Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mary-Ellen TaplinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jeffrey SimkoDepartment of Pathology, University of California, San Francisco, San Francisco, CA, USA.
Susan HalabiDepartment of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC, USA.ORCID 0000-0003-4135-2777
Michael J MorrisDepartment of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-9454-0096
Martin E GleaveVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Alexander W WyattVancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Himisha BeltranDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0003-3259-2226
University of British Columbia · CADana-Farber Cancer Institute · USCornell University · USMemorial Sloan Kettering Cancer Center · USDuke Cancer InstituteUniversity of California, San Francisco · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Member Site CoreU10CA180821 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Evanthia Galanis · 2014 to 2026
$177.3M
Statistics CoreU10CA180882 · NCI · MAYO CLINIC ROCHESTER · PI Sumithra Jay Mandrekar · 2014 to 2026
$115.0M
NCIC Clinical Trials Group - Canadian Collaborating Clinical Trials NetworkU10CA180863 · NCI · QUEEN'S UNIVERSITY AT KINGSTON · PI Janet Ellen Dancey · 2014 to 2026
$40.4M
THE ALLIANCE NCTN BIOREPOSITORY AND BIOSPECIMEN RESOURCEU24CA196171 · NCI · WASHINGTON UNIVERSITY · PI Mine Cicek, Wendy Frankel · 2015 to 2026
$35.0M
Network Lead Academic Participating Site: Memorial Sloan Kettering Cancer CenterUG1CA233290 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CAROL AGHAJANIAN, Darren Feldman · 2019 to 2026
$10.2M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareUG1CA233180 · NCI · DANA-FARBER CANCER INST · PI Harold John Burstein · 2019 to 2026
$8.6M
Molecular mechanisms underlying lineage plasticity in prostate cancerR37CA241486 · NCI · DANA-FARBER CANCER INST · PI Himisha Beltran · 2020 to 2026
$4.1M
Validation of prognostic and pathway signatures in lethal prostate cancerU01CA157703 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLEAVE, MARTIN EDWIN, HALABI, SUSAN · 2011 to 2015
$2.5M
Interactions of Androgen Production, Uptake and Metabolism on outcome in Castration Resistant Prostate CancerR01CA249279 · NCI · UNIVERSITY OF MINNESOTA · PI HALABI, SUSAN, SHARIFI, NIMA · 2021 to 2024
$2.1M
NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA241486NCI NIH HHS R37 CA24148601A1NCI NIH HHS U01 CA157703NCI NIH HHS U10 CA180821NCI NIH HHS U10 CA180863NCI NIH HHS U10 CA180882NCI NIH HHS U24 CA196171NCI NIH HHS UG1 CA233180NCI NIH HHS UG1 CA233290NIH HHSNIH HHS 5 U01 CA157703NIH HHS U10CA180821
6 · The paper itself

Abstract

backgroundThe phase 3 CALGB 90203 (Alliance) trial evaluated neoadjuvant chemohormonal therapy for high-risk localized prostate cancer before radical prostatectomy. We dissected the molecular features of post-treated tumors with long-term clinical outcomes to explore mechanisms of response and resistance to chemohormonal therapy.

methodsWe evaluated 471 radical prostatectomy tumors, including 294 samples from 166 patients treated with 6 cycles of docetaxel plus androgen deprivation therapy before radical prostatectomy and 177 samples from 97 patients in the control arm (radical prostatectomy alone). Targeted DNA sequencing and RNA expression of tumor foci and adjacent noncancer regions were analyzed in conjunction with pathologic changes and clinical outcomes.

resultsTumor fraction estimated from DNA sequencing was significantly lower in post-treated tumor tissues after chemohormonal therapy compared with controls. Higher tumor fraction after chemohormonal therapy was associated with aggressive pathologic features and poor outcomes, including prostate-specific antigen-progression-free survival. SPOP alterations were infrequently detected after chemohormonal therapy, while TP53 alterations were enriched and associated with shorter overall survival. Residual tumor fraction after chemohormonal therapy was linked to higher expression of androgen receptor-regulated genes, cell cycle genes, and neuroendocrine genes, suggesting persistent populations of active prostate cancer cells. Supervised clustering of post-treated high-tumor-fraction tissues identified a group of patients with elevated cell cycle-related gene expression and poor clinical outcomes.

conclusionsDistinct recurrent prostate cancer genomic and transcriptomic features are observed after exposure to docetaxel and androgen deprivation therapy. Tumor fraction assessed by DNA sequencing quantifies pathologic response and could be a useful trial endpoint or prognostic biomarker. TP53 alterations and high cell cycle transcriptomic activity are linked to aggressive residual disease, despite potent chemohormonal therapy.

Indexed as

Prostatic NeoplasmsAndrogen AntagonistsAndrogensDocetaxelHumansMaleNeoadjuvant TherapyNeoplasm Recurrence, LocalNuclear ProteinsProstatectomyProstate-Specific AntigenRepressor ProteinsTreatment OutcomeAndrogen AntagonistsAndrogensDocetaxelNuclear ProteinsProstate-Specific AntigenRepressor ProteinsSPOP protein, human

Identifiers

PMID37676819
PMCPMC10777679
OpenAlexW4386516247

What OpenQuestion holds

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Registered trials

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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.