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Linking patient outcome to high throughput protein expression data identifies novel regulators of colorectal adenocarcinoma aggressiveness

2015-04-24

Abstract excerpt

A key question in cancer systems biology is how to use molecular data to predict the biological behavior of tumors from individual patients. While genomics data have been heavily used, protein signaling data are more directly connected to biological phenotype and might predict cancer phenotypes such as invasion, metastasis, and patient survival. In this study, we mined publicly available data for colorectal adenoc...

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Literature Corpus work
75ddc0cc-c04a-558b-a997-2fbafbd3e0a8
DOI
10.12688/f1000research.6388.1
Open publication

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Linking patient outcome to high throughput protein expression data identifies novel regulators of colorectal adenocarcinoma aggressivenessDOI 10.12688/f1000research.6388.1
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