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A Fourteen Gene GBM Prognostic Signature Identifies Association of Immune Response Pathway and Mesenchymal Subtype with High Risk Group

Arivazhagan Arimappamagan, Kumaravel Somasundaram, Kandavel Thennarasu, Sreekanthreddy Peddagangannagari, Harish Srinivasan, Bangalore C Shailaja, Cini Samuel, Irene Rosita Pia Patric, Sudhanshu Shukla, Balaram Thota, Krishnarao Venkatesh Prasanna, Paritosh Pandey, Anandh Balasubramaniam, Vani Santosh, Bangalore Ashwathnarayanara Chandramouli, Alangar Sathyaranjandas Hegde, Paturu Kondaiah and Manchanahalli R Sathyanarayana Rao

PLOS ONE, 2013, vol. 8, issue 4, 1-14

Abstract: Background: Recent research on glioblastoma (GBM) has focused on deducing gene signatures predicting prognosis. The present study evaluated the mRNA expression of selected genes and correlated with outcome to arrive at a prognostic gene signature. Methods: Patients with GBM (n = 123) were prospectively recruited, treated with a uniform protocol and followed up. Expression of 175 genes in GBM tissue was determined using qRT-PCR. A supervised principal component analysis followed by derivation of gene signature was performed. Independent validation of the signature was done using TCGA data. Gene Ontology and KEGG pathway analysis was carried out among patients from TCGA cohort. Results: A 14 gene signature was identified that predicted outcome in GBM. A weighted gene (WG) score was found to be an independent predictor of survival in multivariate analysis in the present cohort (HR = 2.507; B = 0.919; p

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0062042

DOI: 10.1371/journal.pone.0062042

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