Evidence map›Paper›PMID 31060542›Full record

ArticleBMC cancer2019

A TMEFF2-regulated cell cycle derived gene signature is prognostic of recurrence risk in prostate cancer.

Constantin Georgescu, Joshua M Corbin, Sandra Thibivilliers, Zachary D Webb, Yan D Zhao, Jan Koster, Kar-Ming Fung, Adam S Asch, Jonathan D Wren, Maria J Ruiz-Echevarría

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Immunotherapy in metastatic prostate cancer.Therapeutic advances in medical oncology · 2025
    Review
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  9. Review
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

10 authors at 5 institutions in 2 countries.

Constantin GeorgescuArthritis & Clinical Immunology Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Joshua M CorbinDepartment of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA.
Sandra ThibivilliersStephenson Cancer Center, Oklahoma City, OK, USA.
Zachary D WebbDepartment of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA.
Yan D ZhaoDepartment of Biostatistics and Epidemiology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA.
Jan KosterAmsterdam UMC, Department of Oncogenomics, University of Amsterdam, Amsterdam, The Netherlands.
Kar-Ming FungDepartment of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA.
Adam S AschStephenson Cancer Center, Oklahoma City, OK, USA.
Jonathan D WrenArthritis & Clinical Immunology Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Maria J Ruiz-EchevarríaDepartment of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA. Maria-Ruizechevarria@ouhsc.edu.ORCID http://orcid.org/0000-0001-7133-9982
Oklahoma State University Oklahoma City · USOU HealthOklahoma Medical Research Foundation · USAmsterdam University Medical Centers · NLUniversity of Nebraska–Lincoln · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TIMOTHY M VANWAGONER · 2013 to 2026
$68.2M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026
$27.1M
TUMOR RESISTANCE MECHANISMS TO ANTI-VEGF THERAPY IN PROSTATE CANCER (Sukyung Woo)P20GM103639 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI DHANASEKARAN, DANNY N. · 2012 to 2022
$21.3M
Quantitative Analysis Core P30GM110766 · NIGMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GAFFNEY, PATRICK M · 2014 to 2018
$6.1M
NCI NIH HHS P30 CA225520NIGMS NIH HHS P20 GM103639NIGMS NIH HHS P30 GM110766NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

backgroundThe clinical behavior of prostate cancer (PCa) is variable, and while the majority of cases remain indolent, 10% of patients progress to deadly forms of the disease. Current clinical predictors used at the time of diagnosis have limitations to accurately establish progression risk. Here we describe the development of a tumor suppressor regulated, cell-cycle gene expression based prognostic signature for PCa, and validate its independent contribution to risk stratification in several radical prostatectomy (RP) patient cohorts.

methodsWe used RNA interference experiments in PCa cell lines to identify a gene expression based gene signature associated with Tmeff2, an androgen regulated, tumor suppressor gene whose expression shows remarkable heterogeneity in PCa. Gene expression was confirmed by qRT-PCR. Correlation of the signature with disease outcome (time to recurrence) was retrospectively evaluated in four geographically different cohorts of patients that underwent RP (834 samples), using multivariate logistical regression analysis. Multivariate analyses were adjusted for standard clinicopathological variables. Performance of the signature was compared to previously described gene expression based signatures using the SigCheck software.

resultsLow levels of TMEFF2 mRNA significantly (p < 0.0001) correlated with reduced disease-free survival (DFS) in patients from the Memorial Sloan Kettering Cancer Center (MSKCC) dataset. We identified a panel of 11 TMEFF2 regulated cell cycle related genes (TMCC11), with strong prognostic value. TMCC11 expression was significantly associated with time to recurrence after prostatectomy in four geographically different patient cohorts (2.9 ≤ HR ≥ 4.1; p ≤ 0.002), served as an independent indicator of poor prognosis in the four RP cohorts (1.96 ≤ HR ≥ 4.28; p ≤ 0.032) and improved the prognostic value of standard clinicopathological markers. The prognostic ability of TMCC11 panel exceeded previously published oncogenic gene signatures (p = 0.00017).

conclusionsThis study provides evidence that the TMCC11 gene signature is a robust independent prognostic marker for PCa, reveals the value of using highly heterogeneously expressed genes, like Tmeff2, as guides to discover prognostic indicators, and suggests the possibility that low Tmeff2 expression marks a distinct subclass of PCa.

Indexed as

TranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorCell CycleCell Line, TumorDatasets as TopicDisease-Free SurvivalDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMembrane ProteinsMiddle AgedBiomarkers, TumorMembrane ProteinsNeoplasm ProteinsRNA, MessengerTMEFF2 protein, humanCell cycle genesPrognostic markersProstate cancerRisk stratificationTMEFF2

Identifiers

PMID31060542
PMCPMC6503380
OpenAlexW2947059588

What OpenQuestion holds

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LicenceCC BY
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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.