Evidence map›Paper›PMID 35220606›Full record

ArticleThe Journal of pathology2022

Comparative genomics of primary prostate cancer and paired metastases: insights from 12 molecular case studies.

Joanna Cyrta, Davide Prandi, Arshi Arora, Daniel H Hovelson, Andrea Sboner, Antonio Rodriguez, Tarcisio Fedrizzi, Himisha Beltran, Dan R Robinson, Anuradha Gopalan and 8 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Precision medicine in prostate cancer: individualized treatment through radiomics, genomics, and biomarkers.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Review
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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

18 authors at 8 institutions in 5 countries.

Joanna CyrtaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Davide PrandiDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0001-9885-6074
Arshi AroraDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Daniel H HovelsonCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MA, USA.
Andrea SbonerDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Antonio RodriguezDepartment for BioMedical Research, University of Bern, Bern, Switzerland.
Tarcisio FedrizziDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Himisha BeltranDepartment of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Dan R RobinsonDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.
Anuradha GopalanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lawrence TrueDepartment of Pathology, University of Washington, Seattle, WA, USA.
Peter S NelsonFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Brian D RobinsonDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Juan Miguel MosqueraDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Scott A Tomlins *Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
Ronglai Shen *Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Francesca Demichelis *Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Mark A Rubin *Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-8321-9950
Cornell University · USMemorial Sloan Kettering Cancer Center · USUniversity of Bern · CHUniversity of Michigan · USUniversity of Trento · ITFred Hutch Cancer Center · USPrince Sattam Bin Abdulaziz University · SAUniversity of Washington · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Weill Cornell Medicine (WCM) SPORE in Prostate CancerP50CA211024 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LODA, MASSIMO · 2017 to 2021
$10.9M
Molecular mechanisms underlying lineage plasticity in prostate cancerR37CA241486 · NCI · DANA-FARBER CANCER INST · PI Himisha Beltran · 2020 to 2026
$4.1M
Towards Understanding Prostate Cancer HeterogeneityR01CA125612 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI RUBIN, MARK A. · 2007 to 2017
$3.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA097186NCI NIH HHS P50 CA211024NCI NIH HHS R01 CA125612NCI NIH HHS R37 CA241486
6 · The paper itself

Abstract

Primary prostate cancer (PCa) can show marked molecular heterogeneity. However, systematic analyses comparing primary PCa and matched metastases in individual patients are lacking. We aimed to address the molecular aspects of metastatic progression while accounting for the heterogeneity of primary PCa. In this pilot study, we collected 12 radical prostatectomy (RP) specimens from men who subsequently developed metastatic castration-resistant prostate cancer (mCRPC). We used histomorphology (Gleason grade, focus size, stage) and immunohistochemistry (IHC) (ERG and p53) to identify independent tumors and/or distinct subclones of primary PCa. We then compared molecular profiles of these primary PCa areas to matched metastatic samples using whole-exome sequencing (WES) and amplicon-based DNA and RNA sequencing. Based on combined pathology and molecular analysis, seven (58%) RP specimens harbored monoclonal and topographically continuous disease, albeit with some degree of intratumor heterogeneity; four (33%) specimens showed true multifocal disease; and one displayed monoclonal disease with discontinuous topography. Early (truncal) events in primary PCa included SPOP p.F133V (one patient), BRAF p.K601E (one patient), and TMPRSS2:ETS rearrangements (eight patients). Activating AR alterations were seen in nine (75%) mCRPC patients, but not in matched primary PCa. Hotspot TP53 mutations, found in metastases from three patients, were readily present in matched primary disease. Alterations in genes encoding epigenetic modifiers were observed in several patients (either shared between primary foci and metastases or in metastatic samples only). WES-based phylogenetic reconstruction and/or clonality scores were consistent with the index focus designated by pathology review in six out of nine (67%) cases. The three instances of discordance pertained to monoclonal, topographically continuous tumors, which would have been considered as unique disease in routine practice. Overall, our results emphasize pathologic and molecular heterogeneity of primary PCa, and suggest that comprehensive IHC-assisted pathology review and genomic analysis are highly concordant in nominating the 'index' primary PCa area. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

Prostatic NeoplasmsProstatic Neoplasms, Castration-ResistantGenomicsHumansMaleNuclear ProteinsPhylogenyPilot ProjectsProstatectomyRepressor ProteinsNuclear ProteinsRepressor ProteinsSPOP protein, humancastration-resistantCRPCgenomicsheterogeneitymetastasismultifocalNEPCpathologyprostate cancertranscriptomics

Identifiers

PMID35220606
PMCPMC9311708
OpenAlexW4214709940

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.