Identification of three glioblastoma subtypes and a six-gene prognostic risk index based on the expression of growth factors and cytokines.

Abstract

Glioblastoma multiforme (GBM) is the most common and invasive tumor of the central nervous system. Growth factors and cytokines (GFCKs) play a crucial role in tumor invasion. In the present study, GFCK expression profiles from GBM patients in the Chinese Glioma Genome Atlas were used to perform sample clustering with nonnegative matrix factorization. Three GBM subtypes were identified based on differences in GFCK expression, and the subtypes differed in characteristics and prognosis. A prognostic risk index (RI) comprising six GFCKs (BMP2, CCN3, GKN1, LIF, MDK, and SEMA3G) was defined using univariate Cox hazard analysis and multivariate stepwise Cox regression. The RI was validated in two independent data sets and may be independent of some known prognostic factors. Our results suggest that GBM occurs as different subtypes expressing different patterns of GFCKs and that these expression patterns can be captured in an RI that can predict prognosis.

• Authors: Beiquan Hu, Yushan Ruan, Feng Wei, Gang Qin, Xianlun Mo, Xiangyu Wang, Donghua Zou
• Journal: American journal of translational research (Am J Transl Res) Vol. 12 Issue 8 Pg. 4669-4682 ( 2020) ISSN: 1943-8141 [Print] United States
• PMID: 32913540 (Publication Type: Journal Article)
• Copyright: AJTR Copyright © 2020.