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Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways.
- Source :
-
Cell reports. Medicine [Cell Rep Med] 2022 Nov 15; Vol. 3 (11), pp. 100819. - Publication Year :
- 2022
-
Abstract
- We present a deep proteogenomic profiling study of 87 lung adenocarcinoma (LUAD) tumors from the United States, integrating whole-genome sequencing, transcriptome sequencing, proteomics and phosphoproteomics by mass spectrometry, and reverse-phase protein arrays. We identify three subtypes from somatic genome signature analysis, including a transition-high subtype enriched with never smokers, a transversion-high subtype enriched with current smokers, and a structurally altered subtype enriched with former smokers, TP53 alterations, and genome-wide structural alterations. We show that within-tumor correlations of RNA and protein expression associate with tumor purity and immune cell profiles. We detect and independently validate expression signatures of RNA and protein that predict patient survival. Additionally, among co-measured genes, we found that protein expression is more often associated with patient survival than RNA. Finally, integrative analysis characterizes three expression subtypes with divergent mutations, proteomic regulatory networks, and therapeutic vulnerabilities. This proteogenomic characterization provides a foundation for molecularly informed medicine in LUAD.<br />Competing Interests: Declaration of interests M.D.W., R.F.B., and C.D.S. are inventors for a provisional patent application related to findings reported in this manuscript. J.S.H.L. serves as Chief Science and Innovation Officer for Ellison Institute, LLC (paid); board of trustee for Health and Environmental Institute, Inc. (unpaid, travel support); and scientific advisory board for AtlasXomics, Inc., and ATOM, Inc. (unpaid, travel support).<br /> (Published by Elsevier Inc.)
Details
- Language :
- English
- ISSN :
- 2666-3791
- Volume :
- 3
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Cell reports. Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 36384096
- Full Text :
- https://doi.org/10.1016/j.xcrm.2022.100819