Open AccessAssessing the clinical utility of genomic expression data across human cancers
Author(s) -
Xiayu Xu,
Lei Huang,
Chun Hei Chan,
Tao Yu,
Runchen Miao,
Chang Liu
Publication year - 2016
Publication title -
oncotarget
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.373
H-Index - 127
ISSN - 1949-2553
DOI - 10.18632/oncotarget.10002
Subject(s) - cancer , gene expression profiling , genomics , computational biology , medicine , gene , bioinformatics , survival analysis , human genome , genome , biology , gene expression , oncology , genetics
Cancer molecular profiling provides better understanding of tumor mechanisms and helps to improve the existing cancer management. Here we present the gene expression signatures from ~9000 human tumors with clinical information across 32 malignancies from The Cancer Genome Atlas project (TCGA). Major predictors from the RNA sequencing data that were significantly correlated with cancer survival were identified. The expression level of these prognostic genes revealed significant genomic pathways that were clinically relevant to survival outcomes across human cancers. Furthermore, it is shown that in most cancer types, combinations of these genomic signatures with clinical information might yield improved predictions. Thus, with respect to clinical utility, our study reveals the promising values of genomic data from the pan-cancer perspective.