Holda A Anagho-Mattanovich, Meeli Mullari, Matthias Anagho-Mattanovich, Hayoung Cho, Anna-Kathrine Pedersen, Oana Palasca, Jesper V Olsen, Marie Locard-Paulet, Michael L Nielsen
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引用次数: 0
Abstract
Poly (ADP-ribose) polymerase inhibitors (PARPi) are widely used as targeted therapies against breast cancers with BRCA mutations. However, the development of resistance to PARPi poses a significant challenge for long-term efficacy of these therapies, warranting further understanding of mechanisms of PARPi resistance. Here, we generated and characterized Olaparib resistance (OR) in BRCA1/2 mutant breast cancer cell lines MDAMB436 and HCC1428 using a systems-level multi-omics approach, including transcriptome, proteome, phosphoproteome, and ADP-ribosylation analysis. Our analyses revealed that resistance development strongly correlated with protein expression changes, while modest effects on phosphorylation- and ADP-ribosylation-dependent signaling pathways were observed. We found that BRCA1 expression was reestablished in OR MDAMB436 cell lines, while PARP1 expression was decreased. In OR HCC1428 cell lines, the BRCA2 mutation was not reverted. However, we observed increased expression of Fanconi anemia group D2 (FANCD2), histone parylation factor 1 (HPF1), and Nicotinamide phosphoribosyltransferase (NAMPT) in various cell lines, suggesting increased replication fork protection, and changes in the ADPr pathway and adaptation of metabolic pathways as resistance mechanisms. Our findings provide valuable insights into the complex landscape of PARPi resistance, offering potential targets for further investigation and therapeutic intervention.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes