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XPA肿瘤变体导致核苷酸切除修复缺陷,使细胞对顺铂敏感。

XPA tumor variant leads to defects in NER that sensitize cells to cisplatin.

作者信息

Blee Alexandra M, Gallagher Kaitlyn S, Kim Hyun-Suk, Kim Mihyun, Kharat Suhas S, Troll Christina R, D'Souza Areetha, Park Jiyoung, Neufer P Drew, Schärer Orlando D, Chazin Walter J

机构信息

Department of Biochemistry, Vanderbilt University, Nashville, TN 37205, USA.

Center for Structural Biology, Vanderbilt University, Nashville, TN 37240, USA.

出版信息

NAR Cancer. 2024 Mar 18;6(1):zcae013. doi: 10.1093/narcan/zcae013. eCollection 2024 Mar.

Abstract

Nucleotide excision repair (NER) reduces efficacy of treatment with platinum (Pt)-based chemotherapy by removing Pt lesions from DNA. Previous study has identified that missense mutation or loss of the NER genes Excision Repair Cross Complementation Group 1 and 2 ( and ) leads to improved patient outcomes after treatment with Pt-based chemotherapies. Although most NER gene alterations found in patient tumors are missense mutations, the impact of mutations in the remaining nearly 20 NER genes is unknown. Towards this goal, we previously developed a machine learning strategy to predict genetic variants in an essential NER protein, Xeroderma Pigmentosum Complementation Group A (XPA), that disrupt repair. In this study, we report in-depth analyses of a subset of the predicted variants, including analyses of purified recombinant protein and cell-based assays to test Pt agent sensitivity in cells and determine mechanisms of NER dysfunction. The most NER deficient variant Y148D had reduced protein stability, weaker DNA binding, disrupted recruitment to damage, and degradation. Our findings demonstrate that tumor mutations in XPA impact cell survival after cisplatin treatment and provide valuable mechanistic insights to improve variant effect prediction. Broadly, these findings suggest XPA tumor variants should be considered when predicting chemotherapy response.

摘要

核苷酸切除修复(NER)通过从DNA中去除铂(Pt)损伤来降低铂类化疗的疗效。先前的研究已经确定,NER基因切除修复交叉互补组1和2( 和 )的错义突变或缺失会导致铂类化疗治疗后患者预后改善。尽管在患者肿瘤中发现的大多数NER基因改变都是错义突变,但其余近20个NER基因中的突变影响尚不清楚。为了实现这一目标,我们之前开发了一种机器学习策略,以预测一种重要的NER蛋白——着色性干皮病互补组A(XPA)中破坏修复的基因变异。在本研究中,我们报告了对一部分预测变异的深入分析,包括对纯化的重组蛋白的分析以及基于细胞的试验,以测试细胞对铂类药物的敏感性并确定NER功能障碍的机制。NER缺陷最严重的变异体Y148D具有降低的蛋白质稳定性、较弱的DNA结合能力、受损的损伤募集能力以及降解能力。我们的研究结果表明,XPA中的肿瘤突变会影响顺铂治疗后的细胞存活,并为改善变异效应预测提供了有价值的机制见解。广泛而言,这些发现表明在预测化疗反应时应考虑XPA肿瘤变异体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b1f/10946055/6e118c2e6780/zcae013figgra1.jpg

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