Multi-omics characterization of acquired Olaparib resistance in BRCA1 and BRCA2 mutant breast cancer cell lines.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
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.

BRCA1和BRCA2突变型乳腺癌细胞系获得性奥拉帕尼耐药的多组学特征
聚(adp -核糖)聚合酶抑制剂(PARPi)广泛用于BRCA突变乳腺癌的靶向治疗。然而,PARPi耐药的发展对这些治疗的长期疗效提出了重大挑战,需要进一步了解PARPi耐药的机制。在这里,我们使用系统级多组学方法在BRCA1/2突变乳腺癌细胞系MDAMB436和HCC1428中产生并表征了奥拉帕尼耐药性(OR),包括转录组学、蛋白质组学、磷酸化蛋白质组学和adp核糖基化分析。我们的分析显示,耐药发展与蛋白质表达变化密切相关,而对磷酸化和adp核糖基化依赖的信号通路的影响较小。我们发现BRCA1在OR MDAMB436细胞系中重新表达,而PARP1表达降低。在OR HCC1428细胞系中,BRCA2突变未恢复。然而,我们观察到范可尼贫血组D2 (FANCD2)、组蛋白聚合因子1 (HPF1)和烟酰胺磷酸核糖基转移酶(NAMPT)在各种细胞系中的表达增加,表明复制分叉保护增强,ADPr途径的改变和代谢途径的适应可能是耐药机制。我们的发现为PARPi耐药的复杂情况提供了有价值的见解,为进一步的研究和治疗干预提供了潜在的靶点。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
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
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