Evidence map›Paper›PMID 37525535›Full record

ArticleJNCI cancer spectrum2023

Use of the Decipher genomic classifier among men with prostate cancer in the United States.

Nicholas G Zaorsky, James A Proudfoot, Angela Y Jia, Raed Zuhour, Randy Vince, Yang Liu, Xin Zhao, Jim Hu, Nicola C Schussler, Jennifer L Stevens and 24 more

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.1field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  11. Reporting tumor genomic test results to SEER registries via linkages.Journal of the National Cancer Institute. Monographs · 2024
    Article
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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

34 authors at 20 institutions in 1 country.

Nicholas G ZaorskyDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.ORCID 0000-0002-4932-1986
James A ProudfootVeracyte, Inc, South San Francisco, CA, USA.
Angela Y JiaDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.ORCID 0000-0002-0812-2614
Raed ZuhourDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.
Randy VinceDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.ORCID 0000-0002-7779-473X
Yang LiuVeracyte, Inc, South San Francisco, CA, USA.
Xin ZhaoVeracyte, Inc, South San Francisco, CA, USA.
Jim HuDepartment of Urology, Weil Cornell Medicine, New York, NY, USA.
Nicola C SchusslerInformation Management Systems, Inc, Calverton, MD, USA.
Jennifer L StevensInformation Management Systems, Inc, Calverton, MD, USA.
Suzanne BentlerIowa Cancer Registry, The University of Iowa, IA, USA.
Rosemary D CressPublic Health Institute, Cancer Registry of Greater California, Sacramento, CA, USA.
Jennifer A DohertyHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0002-1454-8187
Eric B DurbinCancer Research Informatics Shared Resource Facility, Markey Cancer Center, Kentucky Cancer Registry, University of Kentucky, Lexington, KY, USA.
Susan GershmanMassachusetts Cancer Registry, Boston, MA, USA.
Iona ChengDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Lou GonsalvesConnecticut Tumor Registry, Connecticut Department of Public Health, Hartford, CT, USA.
Brenda Y HernandezUniversity of Hawaii Cancer Center, HI, USA.
Lihua LiuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-2252-8407
Bożena M MorawskiCancer Data Registry of Idaho, Boise, ID, USA.
Maria SchymuraSchool of Public Health Epidemiology & Biostatistics, University at Albany, State University of New York, NY, USA.
Stephen M SchwartzDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Kevin C WardRollins School of Public Health, Emory University, Atlanta, GA, USA.
Charles WigginsDepartment of Internal Medicine, University of NM, Albuquerque, NM, USA.
Xiao-Cheng WuDepartment of Epidemiology, School of Medicine, Louisiana State University, New Orleans, LA, USA.ORCID 0000-0003-3663-5027
Jonathan E ShoagDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.
Lee PonskyDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.
Alan Dal PraDepartment of Radiation Oncology, University of Miami, Miami, FL, USA.
Edward M SchaefferDepartment of Urology, Northwestern University, Chicago, IL, USA.
Ashley E RossDepartment of Urology, Northwestern University, Chicago, IL, USA.
Yilun SunDepartment of Population and Quantitative Health Sciences, Case Western Reserve School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Elai DavicioniVeracyte, Inc, South San Francisco, CA, USA.ORCID 0000-0001-9136-099X
Valentina PetkovSurveillance Research Program, National Cancer Institute, Bethesda, MD, USA.
Daniel E SprattDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Cleveland, OH, USA.ORCID 0000-0002-5973-4741
University Hospitals Seidman Cancer Center · USVeracyte (United States) · USInformation Management Services · USNorthwestern University · USCase Western Reserve University · USConnecticut Department of Public Health · USCornell University · USEmory University · USFred Hutch Cancer Center · USLouisiana State University · USNational Cancer Institute · USPublic Health Institute · USUniversity at Albany, State University of New York · USUniversity of California, San Francisco · USUniversity of Hawaiʻi at Mānoa · USUniversity of Iowa · USUniversity of Kentucky · USUniversity of Miami · USUniversity of New Mexico · USUniversity of Southern California · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
University of Guam/Cancer Research Center of Hawaii Partnership (2 of 2)U54CA143728 · NCI · UNIVERSITY OF GUAM · PI RACHAEL T LEON GUERRERO · 2009 to 2026
$20.1M
University of Guam/Cancer Research Center of Hawaii Partnership (1 of 2)U54CA143727 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LYNNE R WILKENS · 2009 to 2026
$19.1M
NCI NIH HHS HHSN261201300009INCI NIH HHS HHSN261201800006INCI NIH HHS HHSN261201800012CNCI NIH HHS HHSN261201800012INCI NIH HHS HHSN261201800013INCI NIH HHS HHSN261201800014INCI NIH HHS HHSN261201800016INCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA177558NCI NIH HHS U54 CA143727NCI NIH HHS U54 CA143728
6 · The paper itself

Abstract

backgroundManagement of localized or recurrent prostate cancer since the 1990s has been based on risk stratification using clinicopathological variables, including Gleason score, T stage (based on digital rectal exam), and prostate-specific antigen (PSA). In this study a novel prognostic test, the Decipher Prostate Genomic Classifier (GC), was used to stratify risk of prostate cancer progression in a US national database of men with prostate cancer.

methodsRecords of prostate cancer cases from participating SEER (Surveillance, Epidemiology, and End Results) program registries, diagnosed during the period from 2010 through 2018, were linked to records of testing with the GC prognostic test. Multivariable analysis was used to quantify the association between GC scores or risk groups and use of definitive local therapy after diagnosis in the GC biopsy-tested cohort and postoperative radiotherapy in the GC-tested cohort as well as adverse pathological findings after prostatectomy.

resultsA total of 572 545 patients were included in the analysis, of whom 8927 patients underwent GC testing. GC biopsy-tested patients were more likely to undergo active active surveillance or watchful waiting than untested patients (odds ratio [OR] =2.21, 95% confidence interval [CI] = 2.04 to 2.38, P < .001). The highest use of active surveillance or watchful waiting was for patients with a low-risk GC classification (41%) compared with those with an intermediate- (27%) or high-risk (11%) GC classification (P < .001). Among National Comprehensive Cancer Network patients with low and favorable-intermediate risk, higher GC risk class was associated with greater use of local therapy (OR = 4.79, 95% CI = 3.51 to 6.55, P < .001). Within this subset of patients who were subsequently treated with prostatectomy, high GC risk was associated with harboring adverse pathological findings (OR = 2.94, 95% CI = 1.38 to 6.27, P = .005). Use of radiation after prostatectomy was statistically significantly associated with higher GC risk groups (OR = 2.69, 95% CI = 1.89 to 3.84).

conclusionsThere is a strong association between use of the biopsy GC test and likelihood of conservative management. Higher genomic classifier scores are associated with higher rates of adverse pathology at time of surgery and greater use of postoperative radiotherapy.In this study the Decipher Prostate Genomic Classifier (GC) was used to analyze a US national database of men with prostate cancer. Use of the GC was associated with conservative management (ie, active surveillance). Among men who had high-risk GC scores and then had surgery, there was a 3-fold higher chance of having worrisome findings in surgical specimens.

Indexed as

Prostatic NeoplasmsGenomicsHumansMaleProstateProstate-Specific AntigenRisk AssessmentUnited StatesProstate-Specific Antigen

Identifiers

PMID37525535
PMCPMC10505256
OpenAlexW4385442308

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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.