Evidence map›Paper›PMID 27047702›Full record

ArticlePeerJ2015

A pan-cancer analysis of prognostic genes.

Jordan Anaya, Brian Reon, Wei-Min Chen, Stefan Bekiranov, Anindya Dutta

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

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

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

  1. Pooled it
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  8. Gamma-Aminobutyric Acid Type A Receptor Subunit Delta (Iranian journal of public health · 2023
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  16. Characterization of the Survival Influential Genes in Carcinogenesis.International journal of molecular sciences · 2021
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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

5 authors.

Jordan AnayaDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States; omnesres.com, Charlottesville, United States.
Brian ReonDepartment of Biochemistry and Molecular Genetics, University of Virginia , Charlottesville, VA , United States.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, United States; Department of Public Health Sciences, Biostatistics Section, University of Virginia, Charlottesville, VA, United States.
Stefan BekiranovDepartment of Biochemistry and Molecular Genetics, University of Virginia , Charlottesville, VA , United States.
Anindya DuttaDepartment of Biochemistry and Molecular Genetics, University of Virginia , Charlottesville, VA , United States.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
The role of MCM8-9 in genomic instability of cancersR01CA060499 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Anindya Dutta · 1994 to 2026
$8.6M
TRAINING IN CELL AND MOLECULAR BIOLOGYT32GM008136 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI STUKENBERG, P. TODD · 1985 to 2020
$8.5M
Role of a novel class of short RNA, tRFs, in RNA silencingF31CA189446 · NCI · UNIVERSITY OF VIRGINIA · PI ANAYA, JORDAN · 2014 to 2014
$11k
NCI NIH HHS F31 CA189446NCI NIH HHS R01 CA060499NIGMS NIH HHS T32 GM008136
6 · The paper itself

Abstract

Numerous studies have identified prognostic genes in individual cancers, but a thorough pan-cancer analysis has not been performed. In addition, previous studies have mostly used microarray data instead of RNA-SEQ, and have not published comprehensive lists of associations with survival. Using recently available RNA-SEQ and clinical data from The Cancer Genome Atlas for 6,495 patients, we have investigated every annotated and expressed gene's association with survival across 16 cancer types. The most statistically significant harmful and protective genes were not shared across cancers, but were enriched in distinct gene sets which were shared across certain groups of cancers. These groups of cancers were independently recapitulated by both unsupervised clustering of Cox coefficients (a measure of association with survival) for individual genes, and for gene programs. This analysis has revealed unappreciated commonalities among cancers which may provide insights into cancer pathogenesis and rationales for co-opting treatments between cancers.

Indexed as

CancerCoxmRNAPan-cancerPrognosticRegressionRNA-SEQTCGA

Identifiers

PMID27047702
PMCPMC4815555

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.