Evidence map›Paper›PMID 28684851›Full record

ArticleScientific reports2017

Prognostic cancer gene signatures share common regulatory motifs.

Ying Wang, Steve Goodison, Xiaoman Li, Haiyan Hu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  16. Regulation of microRNA function in animals.Nature reviews. Molecular cell biology · 2019
    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

4 authors at 2 institutions in 1 country.

Ying WangDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA.
Steve GoodisonNonagen BioScience Corp, Jacksonville, FL, 32216, USA.
Xiaoman LiBurnett school of Biomedical Science, College of Medicine, University of Central Florida, Orlando, FL, 32816, USA. xiaoman@mail.ucf.edu.
Haiyan HuDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA. haihu@cs.ucf.edu.
University of Central Florida · USMayo Clinic in Florida · US

Funding

Bacterial haplotype reconstruction directly from next generation sequencing readsR15GM123407 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI LI, XIAOMAN · 2017 to 2017
$371k
NIGMS NIH HHS R15 GM123407
6 · The paper itself

Abstract

Scientists have discovered various prognostic gene signatures (GSs) in different cancer types. Surprisingly, although different GSs from the same cancer type can be used to measure similar biological characteristics, often rarely is there a gene shared by different GSs. To explain such a paradox, we hypothesized that GSs from the same cancer type may be regulated by common regulatory motifs. To test this hypothesis, we carried out a comprehensive motif analysis on the prognostic GSs from five cancer types. We demonstrated that GSs from individual cancer type as well as across cancer types share regulatory motifs. We also observed that transcription factors that likely bind to these shared motifs have prognostic functions in cancers. Moreover, 75% of the predicted cofactors of these transcription factors may have cancer-related functions and some cofactors even have prognostic functions. In addition, there exist common microRNAs that regulate different GSs from individual cancer types and across cancer types, several of which are prognostic biomarkers for the corresponding cancer types. Our study suggested the existence of common regulatory mechanisms shared by GSs from individual cancer types and across cancer types, which shed light on the discovery of new prognostic GSs in cancers and the understanding of the regulatory mechanisms of cancers.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeBiomarkers, TumorBreast NeoplasmsColorectal NeoplasmsComputational BiologyFemaleHumansLeukemiaLung NeoplasmsLymphomaMaleMicroRNAsNeoplasm ProteinsNucleotide MotifsPrognosisBiomarkers, TumorMicroRNAsNeoplasm ProteinsTranscription Factors

Identifiers

PMID28684851
PMCPMC5500535
OpenAlexW2727545883

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.