Comprehensive analysis of normal adjacent to tumor transcriptomes

Dvir Aran (), Roman Camarda, Justin Odegaard, Hyojung Paik, Boris Oskotsky, Gregor Krings, Andrei Goga, Marina Sirota and Atul J. Butte ()
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Dvir Aran: University of California
Roman Camarda: University of California
Justin Odegaard: Stanford University Medical Center
Hyojung Paik: University of California
Boris Oskotsky: University of California
Gregor Krings: University of California
Andrei Goga: University of California
Marina Sirota: University of California
Atul J. Butte: University of California

Nature Communications, 2017, vol. 8, issue 1, 1-14

Abstract: Abstract Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the Genotype-Tissue Expression project and The Cancer Genome Atlas to comprehensively analyze the transcriptomes of healthy, NAT, and tumor tissues in 6506 samples across eight tissues and corresponding tumor types. Our analysis shows that NAT presents a unique intermediate state between healthy and tumor. Differential gene expression and protein–protein interaction analyses reveal altered pathways shared among NATs across tissue types. We characterize a set of 18 genes that are specifically activated in NATs. By applying pathway and tissue composition analyses, we suggest a pan-cancer mechanism of pro-inflammatory signals from the tumor stimulates an inflammatory response in the adjacent endothelium.

Date: 2017
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DOI: 10.1038/s41467-017-01027-z

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