Comprehensive analysis of normal adjacent to tumor transcriptomes

Dvir Aran(University of California, San Francisco), Roman Camarda(University of California, San Francisco), Justin I. Odegaard(Stanford Medicine), Harikrishna Paik(University of California, San Francisco), Boris Oskotsky(University of California, San Francisco), Gregor Krings(University of California, San Francisco), Andrei Goga(University of California, San Francisco), Marina Sirota(University of California, San Francisco), Atul J. Butte(University of California, San Francisco)
Nature Communications
October 16, 2017
Cited by 644Open Access
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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.


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