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
Joint Authors
Hwa, Hsiao-Lin
Hsieh, Fon-Jou
Liu, Li-Yu D.
Chang, Li-Yun
Chang, King Jen
Kuo, Wen-Hung
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-03
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Background.
MYB 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.
Methods.
Both 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.
Results.
ARNT2 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.
Conclusions.
The major prognostic feature of MYB is predicted to be determined by the MYB subnetwork (41 probes) that is relevant across subtypes.
American Psychological Association (APA)
Liu, Li-Yu D.& Chang, Li-Yun& Kuo, Wen-Hung& Hwa, Hsiao-Lin& Chang, King Jen& Hsieh, Fon-Jou. 2014. 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. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-500077
Modern Language Association (MLA)
Liu, Li-Yu D.…[et al.]. 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. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-500077
American Medical Association (AMA)
Liu, Li-Yu D.& Chang, Li-Yun& Kuo, Wen-Hung& Hwa, Hsiao-Lin& Chang, King Jen& Hsieh, Fon-Jou. 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. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-500077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500077