Cholangiocarcinoma (CCA) is a prevalent bile duct cancer with limited treatment options. Cisplatin-based chemotherapy is a common approach, but response rates vary. Recently, chromosome aberrations have emerged as predictors of chemotherapy response in various malignancies. This study aimed to identify chromosomal aberrations associated with cisplatin response in CCA. A histoculture drug response assay was conducted on 20 fresh CCA tissues to determine cisplatin sensitivity. In parallel, chromosome aberration analysis was performed using chromosome microarray. Using chromosome microarray analysis on 20 CCA samples, we found distinct chromosomal aberration patterns between cisplatin responders and non-responders. Gains in 18q and 20q, and losses in 1p and 8p were more common in non-responders. Conversely, the responders exhibited gains in 8q and losses in 16q. Our heatmap analysis of log-2 ratio demonstrated difference in various chromosomes including 2, 3p, 5q, 6q, 7, 9p, 11q, 14q, 15q, 18q, 20q, and 22q between the response and the non-response to cisplatin. Further analysis using machine learning with random forest model identified genes like NCOA3, TPK1, CEP57L1, DEPDC5, and PLXNA4 as potential predictors of cisplatin response. Validation in a separate cohort of 33 CCA samples confirmed the association of NCOA3 and DEPDC5 with cisplatin response. Our findings suggest that chromosomal aberrations and specific genes may predict cisplatin response in CCA, potentially guiding personalized treatment strategies.
Predicting cisplatin response in cholangiocarcinoma patients using chromosome pattern and related gene expression.
利用染色体模式和相关基因表达预测胆管癌患者对顺铂的反应
阅读:4
作者:Techa-Ay Sutheemon, Watcharadetwittaya Sasithorn, Deenonpoe Raksawan, Intuyod Kitti, Kaewlert Waleeporn, Techasen Anchalee, Loilome Watcharin, Klanrit Poramate, Suksawat Manida, Chaleekan Kwanjira, Sitthirak Sirinya, Thanee Malinee
| 期刊: | Scientific Reports | 影响因子: | 3.900 |
| 时间: | 2025 | 起止号: | 2025 Jul 1; 15(1):20420 |
| doi: | 10.1038/s41598-025-06851-8 | 研究方向: | 肿瘤 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
