BRAFV600E-mutant cancers display a variety of networks by SWIM analysis: prediction of vemurafenib clinical response.

Affiliation

Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy. [Email]

Abstract

Several studies have shown that different tumour types sharing a driver gene mutation do not respond uniformly to the same targeted agent. Our aim was to use an unbiased network-based approach to investigate this fundamental issue using BRAFV600E mutant tumours and the BRAF inhibitor vemurafenib.

Keywords

BRAF V600E,Network medicine,Prediction of response,Vemurafenib,

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