Assessing the clinical utility of genomic expression data across human cancers.
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.
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xinsen
X
Xu
118 Lancaster Terrace, Brookline, MA, USA.
Lei
L
Huang
Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong.
Chun Hei
CH
Chan
Department of Neurosurgery, Peking University First Hospital, Beijing, China.
Tao
T
Yu
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Runchen
R
Miao
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chang
C
Liu
D014408:Biomarkers, Tumor / Q000235:genetics*; D020869:Gene Expression Profiling; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000401:mortality; D011379:Prognosis; D059467:Transcriptome
D014408:Biomarkers, Tumor
cancer; expression; genome; prognosis; utility