Berardi Domenica, Hunter Yasmin, van den Driest Lisa, Farrell Gillian, Rattray Nicholas J W, Rattray Zahra
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
Cancers (Basel). 2022 Jul 27;14(15):3661. doi: 10.3390/cancers14153661.
Metabolic reprogramming and genomic instability are key hallmarks of cancer, the combined analysis of which has gained recent popularity. Given the emerging evidence indicating the role of oncometabolites in DNA damage repair and its routine use in breast cancer treatment, it is timely to fingerprint the impact of olaparib treatment in cellular metabolism. Here, we report the biomolecular response of breast cancer cell lines with DNA damage repair defects to olaparib exposure. Following evaluation of olaparib sensitivity in breast cancer cell lines, we immunoprobed DNA double strand break foci and evaluated changes in cellular metabolism at various olaparib treatment doses using untargeted mass spectrometry-based metabolomics analysis. Following identification of altered features, we performed pathway enrichment analysis to measure key metabolic changes occurring in response to olaparib treatment. We show a cell-line-dependent response to olaparib exposure, and an increased susceptibility to DNA damage foci accumulation in triple-negative breast cancer cell lines. Metabolic changes in response to olaparib treatment were cell-line and dose-dependent, where we predominantly observed metabolic reprogramming of glutamine-derived amino acids and lipids metabolism. Our work demonstrates the effectiveness of combining molecular biology and metabolomics studies for the comprehensive characterisation of cell lines with different genetic profiles. Follow-on studies are needed to map the baseline metabolism of breast cancer cells and their unique response to drug treatment. Fused with genomic and transcriptomics data, such readout can be used to identify key oncometabolites and inform the rationale for the design of novel drugs or chemotherapy combinations.
代谢重编程和基因组不稳定性是癌症的关键特征,对其进行联合分析近来颇受关注。鉴于新出现的证据表明肿瘤代谢物在DNA损伤修复中的作用及其在乳腺癌治疗中的常规应用,及时探究奥拉帕尼治疗对细胞代谢的影响很有必要。在此,我们报告了具有DNA损伤修复缺陷的乳腺癌细胞系对奥拉帕尼暴露的生物分子反应。在评估乳腺癌细胞系对奥拉帕尼的敏感性后,我们免疫检测了DNA双链断裂灶,并使用基于非靶向质谱的代谢组学分析评估了不同奥拉帕尼治疗剂量下细胞代谢的变化。在鉴定出改变的特征后,我们进行了通路富集分析,以衡量奥拉帕尼治疗引起的关键代谢变化。我们发现细胞系对奥拉帕尼暴露存在依赖性反应,且三阴性乳腺癌细胞系对DNA损伤灶积累的敏感性增加。奥拉帕尼治疗引起的代谢变化具有细胞系和剂量依赖性,我们主要观察到谷氨酰胺衍生氨基酸和脂质代谢的代谢重编程。我们的工作证明了将分子生物学和代谢组学研究相结合对于全面表征具有不同基因特征的细胞系的有效性。需要后续研究来描绘乳腺癌细胞的基础代谢及其对药物治疗的独特反应。与基因组和转录组学数据相结合,这样的结果可用于识别关键肿瘤代谢物,并为新型药物或化疗组合的设计提供理论依据。