NDLI: An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis

Content Provider	PubMed Central
Author	Xiong, Jie Bing, Zhitong Su, Yanlin Deng, Defeng Peng, Xiaoning
Editor	Xing, Yi
Copyright Year	2014
Abstract	Although patients with Glioblastoma multiforme (GBM) have grave prognosis, significant variability in patient outcome is observed. The objective of this study is to identify a molecular signature for GBM prognosis. We subjected 355 mRNA and microRNA expression profiles to elastic net-regulated Cox regression for identification of an integrated RNA signature for GBM prognosis. A prognostic index (PI) was generated for patient stratification. Survival comparison was conducted by Kaplan-Meier method and a general multivariate Cox regression procedure was applied to evaluate the independence of the PI. The abilities and efficiencies of signatures to predict GBM patient outcome was assessed and compared by the area under the curve (AUC) of the receiver-operator characteristic (ROC). An integrated RNA prognostic signature consisted by 4 protective mRNAs, 12 risky mRNAs, and 1 risky microRNA was identified. Decreased survival was associated with being in the high-risk group (hazard ratio = 2.864, P<0.0001). The prognostic value of the integrated signature was validated in five independent GBM expression datasets (n = 201, hazard ratio = 2.453, P<0.0001). The PI outperformed the known clinical factors, mRNA-only, and miRNA-only prognostic signatures for GBM prognosis (area under the ROC curve for the integrated RNA, mRNA-only, and miRNA-only signatures were 0.828, 0.742, and 0.757 at 3 years of overall survival, respectively, P<0.0001 by permutation test). We describe the first, to our knowledge, robust transcriptome-based integrated RNA signature that improves the current GBM prognosis based on clinical variables, mRNA-only, and miRNA-only signatures.
Related Links	http://dx.doi.org/10.1371/journal.pone.0098419
Starting Page	98419
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	5
Volume Number	9
Language	English
Publisher	Public Library of Science
Publisher Date	2014-05-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme

Altered Expression of Polycomb Group Genes in Glioblastoma Multiforme

Angiogenic mRNA and microRNA Gene Expression Signature Predicts a Novel Subtype of Serous Ovarian Cancer

NTRK1 Fusion in Glioblastoma Multiforme

MicroRNA Expression Signatures Determine Prognosis and Survival in Glioblastoma Multiforme—a Systematic Overview

A Novel Six-mRNA Signature Predicts Survival of Patients With Glioblastoma Multiforme

Chemoirradiation for Glioblastoma Multiforme: The National Cancer Institute Experience

Yin Yang Gene Expression Ratio Signature for Lung Cancer Prognosis

Genome-Wide Methylation Analyses in Glioblastoma Multiforme

An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis

Similar Documents

Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme

Altered Expression of Polycomb Group Genes in Glioblastoma Multiforme

Angiogenic mRNA and microRNA Gene Expression Signature Predicts a Novel Subtype of Serous Ovarian Cancer

NTRK1 Fusion in Glioblastoma Multiforme

MicroRNA Expression Signatures Determine Prognosis and Survival in Glioblastoma Multiforme—a Systematic Overview

A Novel Six-mRNA Signature Predicts Survival of Patients With Glioblastoma Multiforme

Chemoirradiation for Glioblastoma Multiforme: The National Cancer Institute Experience

Yin Yang Gene Expression Ratio Signature for Lung Cancer Prognosis

Genome-Wide Methylation Analyses in Glioblastoma Multiforme

An Integrated mRNA and microRNA Expression Signature for Glioblastoma Multiforme Prognosis