Integrinated Omic analysis of lung cancer reveals metabolism proteome signatures with prognostic impact

ABSTRACT: Cancer results from processes prone to selective pressure and dysregulation acting along the sequence-to-phenotype continuum DNA→RNA→Protein→Disease. However, the extent to which cancer is a manifestation of the proteome is unknown. Here we present an integrated omic map representing non-small cell lung carcinoma. Dysregulated proteins not previously implicated as cancer drivers are encoded throughout the genome including but not limited to regions of recurrent DNA amplification/deletion. Clustering reveals signatures composed of metabolism proteins particularly highly recapitulated between patient-matched primary and xenograft tumours. Interrogation of The Cancer Genome Atlas reveals cohorts of patients with lung and other cancers that have DNA alterations in genes encoding the signatures

ORGANISM(S): Homo sapiens

SUBMITTER: Ming Tsao 

PROVIDER: E-GEOD-62113 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress