Evidence map›Paper›PMID 21703393›Full record

ArticleThe American journal of pathology2011

Protein-coding and microRNA biomarkers of recurrence of prostate cancer following radical prostatectomy.

Qi Long, Brent A Johnson, Adeboye O Osunkoya, Yu-Heng Lai, Wei Zhou, Mark Abramovitz, Mingjing Xia, Mark B Bouzyk, Robert K Nam, Linda Sugar and 6 more

Abstract read
In one paragraph

Article in The American journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 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.

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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. The clinicopathologic significance of Notch3 expression in prostate cancer.International journal of clinical and experimental pathology · 2019
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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

16 authors.

Qi LongDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA.
Brent A Johnson
Adeboye O Osunkoya
Yu-Heng Lai
Wei Zhou
Mark Abramovitz
Mingjing Xia
Mark B Bouzyk
Robert K Nam
Linda Sugar
Aleksandra Stanimirovic
Daron J Williams
Brian R Leyland-Jones
Arun K Seth
John A Petros
Carlos S Moreno

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Developmental Transcription Factors in Prostate CancerR01CA106826 · NCI · EMORY UNIVERSITY · PI MORENO, CARLOS SANCHEZ · 2005 to 2013
$2.6M
NCATS NIH HHS UL1 TR000454NCI NIH HHS P30 CA138292NCI NIH HHS P30CA138292NCI NIH HHS R01 CA106826NCRR NIH HHS UL1 RR025008
6 · The paper itself

Abstract

An important challenge in prostate cancer research is to develop effective predictors of tumor recurrence following surgery to determine whether immediate adjuvant therapy is warranted. To identify biomarkers predictive of biochemical recurrence, we isolated the RNA from 70 formalin-fixed, paraffin-embedded radical prostatectomy specimens with known long-term outcomes to perform DASL expression profiling with a custom panel that we designed of 522 prostate cancer-relevant genes. We identified a panel of 10 protein-coding genes and two miRNA genes (RAD23B, FBP1, TNFRSF1A, CCNG2, NOTCH3, ETV1, BID, SIM2, LETMD1, ANXA1, miR-519d, and miR-647) that could be used to separate patients with and without biochemical recurrence (P < 0.001), as well as for the subset of 42 Gleason score 7 patients (P < 0.001). We performed an independent validation analysis on 40 samples and found that the biomarker panel was also significant at prediction of biochemical recurrence for all cases (P = 0.013) and for a subset of 19 Gleason score 7 cases (P = 0.010), both of which were adjusted for relevant clinical information including T-stage, prostate-specific antigen, and Gleason score. Importantly, these biomarkers could significantly predict clinical recurrence for Gleason score 7 patients. These biomarkers may increase the accuracy of prognostication following radical prostatectomy using formalin-fixed specimens.

Indexed as

Postoperative ComplicationsProstatectomyBiomarkers, TumorCase-Control StudiesGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingOligonucleotide Array Sequence AnalysisParaffin EmbeddingPrognosisProstate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorMicroRNAsProstate-Specific AntigenRNA, Messenger

Identifiers

PMID21703393
PMCPMC3123866

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.