A multilevel pan-cancer map links gene mutations to cancer hallmarks.

ABSTRACT:

Background

A central challenge in cancer research is to create models that bridge the gap between the molecular level on which interventions can be designed and the cellular and tissue levels on which the disease phenotypes are manifested. This study was undertaken to construct such a model from functional annotations and explore its use when integrated with large-scale cancer genomics data.

Methods

We created a map that connects genes to cancer hallmarks via signaling pathways. We projected gene mutation and focal copy number data from various cancer types onto this map. We performed statistical analyses to uncover mutually exclusive and co-occurring oncogenic aberrations within this topology.

Results

Our analysis showed that although the genetic fingerprint of tumor

SUBMITTER: Knijnenburg TA 

PROVIDER: S-EPMC4593384 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature