Mapping uncharted territory: a gene expression signature for precision glioblastoma therapeutics.
Mapping uncharted territory: a gene expression signature for precision glioblastoma therapeutics.
复制标题
绘制未知领域:精准胶质母细胞瘤治疗的基因表达特征。
DOI:
10.1093/neuonc/noaa242
复制
发表时间:
2020
期刊:
影响因子:
15.9
通讯作者:
Miller,CRyan
中科院分区:
文献类型:
--
作者:
Skinner,KaseyR;Nabors,LBurt;Miller,CRyan
Diffusely invasive glioma, the most common and malignant primary brain tumor, comprises a diverse group of diseases. These tumors range from lower-grade astrocytomas and oligodendrogliomas (grades II and III) to the deadly glioblastoma (GBM, grade IV) when diagnosed based on the current World Health Organization (WHO) classification. 1 GBM has historically been treated as a single disease on the basis of histological criteria; however, advances in molecular technology and the advent of next-generation sequencing have revealed significant heterogeneity both within and among tumors. In 1999, the NCI Director’s Challenge asked “the scientific community to harness the power of comprehensive molecular analysis technologies to make the classification of tumors vastly more informative.” In response, The Cancer Genome Atlas (TCGA) and others identified mutational drivers in GBM and classified tumors into subtypes according to gene expression. Alterations in tumor suppressors such as CDKN2A, TP53, and PTEN and oncogenes including EGFR were among those most frequently found, delineating signaling pathways commonly affected in this disease. 2 Additionally, tumors harboring point mutations in the genes encoding isocitrate dehydrogenase (IDH1 or IDH2) were found to be associated with longer survival than their IDH wild-type (IDHwt) counterparts. 3 Because of these newly discovered genomic alterations and their implications for the clinic, the 2016 WHO classification of central nervous system tumors was historic in that it included both molecular and histological criteria for the diagnosis of GBM. 1IDH mutational status is now routinely used to classify GBM for both disease management and clinical trial enrollment. Thus, dividing GBM into subtypes according to genomic alterations is useful for both rational treatment design and explaining variability in patient response to therapy. Additional stratification based on transcriptome signatures holds promise
影响因子:
15.9
作者:
Johnson, Radia M.;Phillips, Heidi S.;Garcia, Josep
通讯作者:
Garcia, Josep
影响因子:
50.3
作者:
Verhaak RG;Hoadley KA;Purdom E;Wang V;Qi Y;Wilkerson MD;Miller CR;Ding L;Golub T;Mesirov JP;Alexe G;Lawrence M;O'Kelly M;Tamayo P;Weir BA;Gabriel S;Winckler W;Gupta S;Jakkula L;Feiler HS;Hodgson JG;James CD;Sarkaria JN;Brennan C;Kahn A;Spellman PT;Wilson RK;Speed TP;Gray JW;Meyerson M;Getz G;Perou CM;Hayes DN;Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network