Literature DB >> 28754819

Tumor Purity as an Underlying Key Factor in Glioma.

Chuanbao Zhang1, Wen Cheng2, Xiufang Ren3, Zheng Wang1, Xing Liu1, Guanzhang Li1, Sheng Han2, Tao Jiang4, Anhua Wu5.   

Abstract

Purpose: Glioma tissues consist of not only glioma cells but also glioma-associated nontumor cells, such as stromal cells and immune cells. These nontumor cells dilute the purity of glioma cells and play important roles in glioma biology. Currently, the implications of variation in glioma purity are not sufficiently clarified.Experimental Design: Here, tumor purity was inferred for 2,249 gliomas and 29 normal brain tissues from 5 cohorts. Based on the transcriptomic profiling method, we classified CGGA and TCGA-RNAseq cohorts as the RNAseq set for discovery. Cases from TCGA-microarray, REMBRANDT, and GSE16011 cohorts were grouped as a microarray set for validation. Tissues from the CGGA cohort were reviewed for histopathologic validation.
Results: We found that glioma purity was highly associated with major clinical and molecular features. Low purity cases were more likely to be diagnosed as malignant entities and independently correlated with reduced survival time. Integrating glioma purity into prognostic nomogram significantly improved the predictive validity. Moreover, most recognized prognostic indicators were no longer significantly effective under different purity conditions. These results highlighted the clinical importance of glioma purity. Further analyses found distinct genomic patterns associated with glioma purity. Low purity cases were distinguished by enhanced immune phenotypes. Macrophages, microglia, and neutrophils were mutually associated and enriched in low purity gliomas, whereas only macrophages and neutrophils served as robust indicators for poor prognosis.Conclusions: Glioma purity and relevant nontumor cells within microenvironment confer important clinical, genomic, and biological implications, which should be fully valued for precise classification and clinical prediction. Clin Cancer Res; 23(20); 6279-91. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28754819     DOI: 10.1158/1078-0432.CCR-16-2598

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  141 in total

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10.  Commentary: preclinical efficacy of immune-checkpoint monotherapy does not recapitulate corresponding biomarkers-based clinical predictions in glioblastoma by Garg et al. (2017).

Authors:  Lijie Zhai; Erik Ladomersky; Kristen L Lauing; Meijing Wu; Denise M Scholtens; Rohan Savoor; Bin Zhang; Jennifer D Wu; Craig Horbinski; Rimas V Lukas; David C Binder; Derek A Wainwright
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