Evidence map›Paper›PMID 29853306›Full record

ArticleEuropean urology2018

The Diverse Genomic Landscape of Clinically Low-risk Prostate Cancer.

Matthew R Cooperberg, Nicholas Erho, June M Chan, Felix Y Feng, Nick Fishbane, Shuang G Zhao, Jeffry P Simko, Janet E Cowan, Jonathan Lehrer, Mohammed Alshalalfa and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in European urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02609269 (Prospective Expression Analysis Using The Decipher Genomics Resource for Intelligent Discovery), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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.

NCT02609269 enrolling by invitationnot on this map

Prospective Expression Analysis Using The Decipher Genomics Resource for Intelligent Discovery (GRID)® and Data Sharing Program

Typeobservational_patient_registrySponsorGenomeDx Biosciences CorpRan2015 to 2040Enrolled1,000,000ConditionsProstate Cancer, Bladder Cancer, Renal CancerArmsDecipher Cancer Classifier
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Prostate Cancer Tumor Volume and Genomic Risk.European urology open science · 2023
    Article
  14. Review
  15. Characteristics of BRCA2 Mutated Prostate Cancer at Presentation.International journal of molecular sciences · 2022
    Article
  16. Article
  17. Review
  18. Should Grade Group 1 (GG1) be called cancer?World journal of urology · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Matthew R CooperbergDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA. Electronic address: matthew.cooperberg@ucsf.edu.
Nicholas ErhoGenomeDx Biosciences, San Diego, CA, USA.
June M ChanDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.
Felix Y FengDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA; Department of Radiation Oncology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Nick FishbaneGenomeDx Biosciences, San Diego, CA, USA.
Shuang G ZhaoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
Jeffry P SimkoDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA; Department of Pathology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Janet E CowanDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Jonathan LehrerGenomeDx Biosciences, San Diego, CA, USA.
Mohammed AlshalalfaGenomeDx Biosciences, San Diego, CA, USA.
Tyler KolisnikGenomeDx Biosciences, San Diego, CA, USA.
Jijumon ChelliserryGenomeDx Biosciences, San Diego, CA, USA.
Jennifer MargraveGenomeDx Biosciences, San Diego, CA, USA.
Maria AranesGenomeDx Biosciences, San Diego, CA, USA.
Marguerite du PlessisGenomeDx Biosciences, San Diego, CA, USA.
Christine BuerkiGenomeDx Biosciences, San Diego, CA, USA.
Imelda TenggaraDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Elai DavicioniGenomeDx Biosciences, San Diego, CA, USA.
Peter R CarrollDepartment of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.

Funding

Improving Prostate Cancer Outcome Prediction Through Noninvasive exRNA AssessmentR01CA198145 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COOPERBERG, MATTHEW R · 2016 to 2020
$3.1M
NCI NIH HHS R01 CA198145
6 · The paper itself

Abstract

backgroundAmong men with clinically low-risk prostate cancer, we have previously documented heterogeneity in terms of clinical characteristics and genomic risk scores.

objectiveTo further study the underlying tumor biology of this patient population, by interrogating broader patterns of gene expression among men with clinically low-risk tumors. DESIGN, SETTING, AND

participantsProstate biopsies from 427 patients considered potentially suitable for active surveillance underwent central pathology review and genome-wide expression profiling. These cases were compared with 1290 higher-risk biopsy cases with diverse clinical features from a prospective genomic registry. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Average genomic risk (AGR) was determined from 18 published prognostic signatures, and MSigDB hallmark gene sets were analyzed using bootstrapped clustering methods. These sets were examined in relation to clinical variables and pathological and biochemical outcomes using multivariable regression analysis. RESULTS AND LIMITATIONS: A total of 408 (96%) biopsies passed RNA quality control. Based on AGR quartiles defined by the high-risk multicenter cases, the University of California, San Francisco (UCSF) low-risk patients were distributed across the quartiles as 219 (54%), 107 (26%), 61 (15%), and 21 (5%). Unsupervised clustering analysis of the hallmark gene set scores revealed three clusters, which were enriched for the previously described PAM50 luminal A, luminal B, and basal subtypes. AGR, but not the clusters, was associated with both pathological (odds ratio 1.34, 95% confidence interval [CI] 1.14-1.58) and biochemical outcomes (hazard ratio 1.53, 95% CI 1.19-1.93). These results may underestimate within-prostate genomic heterogeneity.

conclusionsProstate cancers that are homogeneously low risk by traditional characteristics demonstrate substantial diversity at the level of genomic expression. Molecular substratification of low-risk prostate cancer will yield a better understanding of its divergent biology and, in the future may help personalize treatment recommendations. PATIENT SUMMARY: We studied the genomic characteristics of tumors from men diagnosed with low-risk prostate cancer. We found three main subtypes of prostate cancer with divergent tumor biology, similar to what has previously been found in women with breast cancer. In addition, we found that genomic risk scores were associated with worse pathology findings and prostate-specific antigen recurrence after surgery. These results suggest even greater genomic diversity among low-risk patients than has previously been documented with more limited signatures.

Indexed as

Genetic ProfileProstatic NeoplasmsAgedBiopsy, Large-Core NeedleCluster AnalysisDisease ProgressionGene Expression ProfilingGenomicsHumansMaleMiddle AgedPrognosisProstateProstatectomyProstate-Specific AntigenRisk AssessmentProstate-Specific AntigenActive surveillanceBiomarkersGenomicsLow-risk prostate cancerPrognosisProstate cancer biopsySubtypingTumor biology

Identifiers

PMID29853306
PMCPMC6586429

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.