Evidence map›Paper›PMID 32832833›Full record

ArticleJCO precision oncology2018

Clinical Utility of Gene Expression Classifiers in Men With Newly Diagnosed Prostate Cancer.

Jonathan C Hu, Jeffrey J Tosoian, Ji Qi, Deborah Kaye, Anna Johnson, Susan Linsell, James E Montie, Khurshid R Ghani, David C Miller, Kirk Wojno and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
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  4. Observational
  5. Gene Signatures and Oncology Treatment Implications.Hematology/oncology clinics of North America · 2025
    Review
  6. Article
  7. Review
  8. Article
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  11. 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

13 authors at 1 institution in 1 country.

Jonathan C HuOakland University William Beaumont School of Medicine, Rochester.
Jeffrey J TosoianUniversity of Michigan, Ann Arbor.
Ji QiUniversity of Michigan, Ann Arbor.
Deborah KayeUniversity of Michigan, Ann Arbor.
Anna JohnsonUniversity of Michigan, Ann Arbor.
Susan LinsellUniversity of Michigan, Ann Arbor.
James E MontieUniversity of Michigan, Ann Arbor.
Khurshid R GhaniUniversity of Michigan, Ann Arbor.
David C MillerUniversity of Michigan, Ann Arbor.
Kirk WojnoComprehensive Urology, Royal Oak, MI.
Frank N BurksOakland University William Beaumont School of Medicine, Rochester.
Daniel E SprattUniversity of Michigan, Ann Arbor.
Todd M MorganUniversity of Michigan, Ann Arbor.
Oakland University · US

Funding

Determining the clinical impact of gene expression testing in localized prostate cancerR01CA240991 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORGAN, TODD M., SPRATT, DANIEL EIDELBERG · 2019 to 2024
$3.1M
NCI NIH HHS R01 CA240991
6 · The paper itself

Abstract

purposeTissue-based gene expression classifiers (GECs) may assist with management decisions in patients with newly diagnosed prostate cancer. We sought to assess the current use of GEC tests and determine how the test results are associated with primary disease management.

methodsIn this observational study, patients diagnosed with localized prostate cancer were tracked through the Michigan Urological Surgery Improvement Collaborative registry. The utilization and results of three GECs (Decipher Prostate Biopsy, Oncotype DX Prostate, and Prolaris) were prospectively collected. Practice patterns, predictors of GEC use, and effect of GEC results on disease management were investigated.

resultsOf 3,966 newly diagnosed patients, 747 (18.8%) underwent GEC testing. The rate of GEC use in individual practices ranged from 0% to 93%, and patients undergoing GEC testing were more likely to have a lower prostate-specific antigen level, lower Gleason score, lower clinical T stage, and fewer positive cores (all

conclusionThere is large variability in practice-level use and GEC tests ordered in patients with newly diagnosed, localized prostate cancer. In patients with clinical favorable risk of cancer, GEC testing significantly increased the use of AS. Additional follow-up will help determine whether incorporation of GEC testing into initial patient care favorably affects clinical outcomes.

Identifiers

PMID32832833
PMCPMC7440129
OpenAlexW2897961274

What OpenQuestion holds

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LicenceTDM
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.