Evidence map›Paper›PMID 28454104›Full record

ArticleOncotarget2017

RNA sequencing-based cell proliferation analysis across 19 cancers identifies a subset of proliferation-informative cancers with a common survival signature.

Ryne C Ramaker, Brittany N Lasseigne, Andrew A Hardigan, Laura Palacio, David S Gunther, Richard M Myers, Sara J Cooper

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Deciphering radiological stable disease to immune checkpoint inhibitors.Annals of oncology : official journal of the European Society for Medical Oncology · 2022
    Pooled it
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  12. High-resolution transcriptomics analysis of CXCL13Journal of thoracic disease · 2024
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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

7 authors at 2 institutions in 1 country.

Ryne C RamakerHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Brittany N LasseigneHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Andrew A HardiganHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Laura PalacioHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
David S GuntherHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Richard M MyersHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Sara J CooperHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
HudsonAlpha Institute for Biotechnology · USUniversity of Alabama at Birmingham · US

Funding

UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008361 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YACOUBIAN, TALENE ALENE · 1992 to 2024
$16.8M
NCATS NIH HHS UL1 TR001417NIGMS NIH HHS T32 GM008361
6 · The paper itself

Abstract

Despite advances in cancer diagnosis and treatment strategies, robust prognostic signatures remain elusive in most cancers. Cell proliferation has long been recognized as a prognostic marker in cancer, but the generation of comprehensive, publicly available datasets allows examination of the links between cell proliferation and cancer characteristics such as mutation rate, stage, and patient outcomes. Here we explore the role of cell proliferation across 19 cancers (n = 6,581 patients) by using tissue-based RNA sequencing data from The Cancer Genome Atlas Project and calculating a 'proliferative index' derived from gene expression associated with Proliferating Cell Nuclear Antigen (PCNA) levels. This proliferative index is significantly associated with patient survival (Cox, p-value < 0.05) in 7 of 19 cancers, which we have defined as "proliferation-informative cancers" (PICs). In PICs, the proliferative index is strongly correlated with tumor stage and nodal invasion. PICs demonstrate reduced baseline expression of proliferation machinery relative to non-PICs. Additionally, we find the proliferative index is significantly associated with gross somatic mutation burden (Spearman, p = 1.76 x 10-23) as well as with mutations in individual driver genes. This analysis provides a comprehensive characterization of tumor proliferation indices and their association with disease progression and prognosis in multiple cancer types and highlights specific cancers that may be particularly susceptible to improved targeting of this classic cancer hallmark.

Indexed as

Cell ProliferationBiomarkers, TumorDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsPrognosisReelin ProteinSequence Analysis, RNASurvival RateTumor Cells, CulturedBiomarkers, TumorReelin ProteinRELN protein, humancancercell proliferationreelinRNA-seqsurvival

Identifiers

PMID28454104
PMCPMC5503562
OpenAlexW2604733544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.