Evidence map›Paper›PMID 24639887›Full record

ArticleComputational and mathematical methods in medicine2014

A supervised network analysis on gene expression profiles of breast tumors predicts a 41-gene prognostic signature of the transcription factor MYB across molecular subtypes.

Li-Yu D Liu, Li-Yun Chang, Wen-Hung Kuo, Hsiao-Lin Hwa, King-Jen Chang, Fon-Jou Hsieh

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Article in Computational and mathematical methods in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 16 citations in OpenAlex.

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  12. Overexpression of c-Myb is associated with suppression of distant metastases in colorectal carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Li-Yu D LiuBiometry Division, Department of Agronomy, National Taiwan University, Taipei 106, Taiwan.
Li-Yun ChangDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Wen-Hung KuoDepartment of Surgery, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Hsiao-Lin HwaDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
King-Jen ChangDepartment of Surgery, College of Medicine, National Taiwan University, Taipei 100, Taiwan ; Cheng Ching General Hospital, Taichung 400, Taiwan.
Fon-Jou HsiehDepartment of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei 100, Taiwan ; Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University, Taipei 100, Taiwan.
National Taiwan University · TWCheng Ching Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMYB is predicted to be a favorable prognostic predictor in a breast cancer population. We proposed to find the inferred mechanism(s) relevant to the prognostic features of MYB via a supervised network analysis.

methodsBoth coefficient of intrinsic dependence (CID) and Galton Pierson's correlation coefficient (GPCC) were combined and designated as CIDUGPCC. It is for the univariate network analysis. Multivariate CID is for the multivariate network analysis. Other analyses using bioinformatic tools and statistical methods are included.

resultsARNT2 is predicted to be the essential gene partner of MYB. We classified four prognostic relevant gene subpools in three breast cancer cohorts as feature types I-IV. Only the probes in feature type II are the potential prognostic feature of MYB. Moreover, we further validated 41 prognosis relevant probes to be the favorable prognostic signature. Surprisingly, two additional family members of MYB are elevated to promote poor prognosis when both levels of MYB and ARNT2 decline. Both MYBL1 and MYBL2 may partially decrease the tumor suppressive activities that are predicted to be up-regulated by MYB and ARNT2.

conclusionsThe major prognostic feature of MYB is predicted to be determined by the MYB subnetwork (41 probes) that is relevant across subtypes.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAlgorithmsBiomarkers, TumorBreast NeoplasmsCohort StudiesComputational BiologyFemaleHumansImmunohistochemistryModels, StatisticalOligonucleotide Array Sequence AnalysisPrognosisProto-Oncogene Proteins c-mybSignal TransductionTranscription, GeneticBiomarkers, TumorProto-Oncogene Proteins c-myb

Identifiers

PMID24639887
PMCPMC3930188
OpenAlexW2080160462

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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.