Pan-cancer proteogenomics connects oncogenic drivers to functional states.
Cell
; 186(18): 3921-3944.e25, 2023 08 31.
Article
in En
| MEDLINE
| ID: mdl-37582357
ABSTRACT
Cancer driver events refer to key genetic aberrations that drive oncogenesis; however, their exact molecular mechanisms remain insufficiently understood. Here, our multi-omics pan-cancer analysis uncovers insights into the impacts of cancer drivers by identifying their significant cis-effects and distal trans-effects quantified at the RNA, protein, and phosphoprotein levels. Salient observations include the association of point mutations and copy-number alterations with the rewiring of protein interaction networks, and notably, most cancer genes converge toward similar molecular states denoted by sequence-based kinase activity profiles. A correlation between predicted neoantigen burden and measured T cell infiltration suggests potential vulnerabilities for immunotherapies. Patterns of cancer hallmarks vary by polygenic protein abundance ranging from uniform to heterogeneous. Overall, our work demonstrates the value of comprehensive proteogenomics in understanding the functional states of oncogenic drivers and their links to cancer development, surpassing the limitations of studying individual cancer types.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Proteogenomics
/
Neoplasms
Limits:
Humans
Language:
En
Journal:
Cell
Year:
2023
Document type:
Article
Affiliation country: