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
Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Department of Pathology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Sci Rep. 2025 Jul 1;15(1):20420. doi: 10.1038/s41598-025-06851-8.
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.
胆管癌(CCA)是一种常见的胆管癌,治疗选择有限。基于顺铂的化疗是一种常见的方法,但缓解率各不相同。最近,染色体畸变已成为各种恶性肿瘤化疗反应的预测指标。本研究旨在确定与CCA中顺铂反应相关的染色体畸变。对20个新鲜CCA组织进行组织培养药物反应试验,以确定顺铂敏感性。同时,使用染色体微阵列进行染色体畸变分析。通过对20个CCA样本进行染色体微阵列分析,我们发现顺铂反应者和无反应者之间存在明显的染色体畸变模式。18q和20q的增益以及1p和8p的缺失在无反应者中更为常见。相反,反应者表现出8q的增益和16q的缺失。我们对log-2比值的热图分析表明,在对顺铂的反应和无反应之间,包括2、3p、5q、6q、7、9p、11q、14q、15q、18q、20q和22q在内的各种染色体存在差异。使用随机森林模型的机器学习进一步分析确定了NCOA3、TPK1、CEP57L1、DEPDC5和PLXNA4等基因作为顺铂反应的潜在预测指标。在另一组33个CCA样本中进行验证,证实了NCOA3和DEPDC5与顺铂反应的关联。我们的研究结果表明,染色体畸变和特定基因可能预测CCA中的顺铂反应,有可能指导个性化治疗策略。