Assessing the clinical utility of genomic expression data across human cancers
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Xinsen Xu1, Lei Huang2, Chun Hei Chan3, Tao Yu4, Runchen Miao1, Chang Liu1
1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
2118 Lancaster Terrace, Brookline, MA, USA
3Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
4Department of Neurosurgery, Peking University First Hospital, Beijing, China
Chang Liu, email: firstname.lastname@example.org
Keywords: genome, cancer, expression, utility, prognosis
Received: February 24, 2016 Accepted: May 29, 2016 Published: June 14, 2016
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.
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