Background. Co-deletion of 1p and 19q marks a diffuse glioma subtype associated with relatively favorable overall survival; however, heterogeneous clinical outcomes are observed within this category. Methods. We assembled gene expression profiles and sample annotation of 374 glioma patients carrying the 1p/19q co-deletion. We predicted 1p/19q status using gene expression when annotation was missing. A first cohort was randomly split into training (n = 170) and a validation dataset (n = 163). A second validation set consisted of 41 expression profiles. An elastic-net penalized Cox proportional hazards model was applied to build a classifier model through cross-validation within the training dataset. Results. The selected 35-gene signature was used to identify high-risk and low-risk groups in the validation set, which showed significantly different overall survival (P = .00058, log-rank test). For time-to-death events, the high-risk group predicted by the gene signature yielded a hazard ratio of 1.78 (95% confidence interval, 1.02-3.11). The signature was also significantly associated with clinical outcome in the The Cancer Genome Atlas (CGA) IDH-mutant 1p/19q wild-type and IDH-wild-type glioma cohorts. Pathway analysis suggested that high risk was associated with increased acetylation activity and inflammatory response. Tumor purity was found to be significantly decreased in high-risk IDH-mutant with 1p/19q co-deletion gliomas and IDH-wild-type glioblastomas but not in IDH-wild-type lower grade or IDH-mutant, non-co-deleted gliomas. Conclusion. We identified a 35-gene signature that identifies high-risk and low-risk categories of 1p/19q positive glioma patients. We have demonstrated heterogeneity amongst a relatively new glioma subtype and provided a stepping stone towards risk stratification.
基金:
U.S. National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [P50 CA127001, R01 CA190121, P01 CA085878]; Cancer Prevention & Research Institute of Texas (CPRIT) [R140606]
第一作者机构:[1]Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77030 USA;[4]Univ Texas Houston, Grad Sch Biomed Sci, Program Bioinformat & Biostat, Houston, TX USA;
通讯作者:
通讯机构:[1]Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77030 USA;[3]Univ Texas MD Anderson Canc Ctr, Dept Bioinformat & Computat Biol, Houston, TX 77030 USA;[6]Jackson Lab Genom Med, 10 Discovery Dr, Farmington, CT 06032 USA
推荐引用方式(GB/T 7714):
Hu Xin,Martinez-Ledesma Emmanuel,Zheng Siyuan,et al.Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma[J].NEURO-ONCOLOGY.2017,19(6):786-795.doi:10.1093/neuonc/now285.
APA:
Hu, Xin,Martinez-Ledesma, Emmanuel,Zheng, Siyuan,Kim, Hoon,Barthel, Floris...&Verhaak, Roel G. W..(2017).Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma.NEURO-ONCOLOGY,19,(6)
MLA:
Hu, Xin,et al."Multigene signature for predicting prognosis of patients with 1p19q co-deletion diffuse glioma".NEURO-ONCOLOGY 19..6(2017):786-795