Techa-Ay Sutheemon, Watcharadetwittaya Sasithorn, Deenonpoe Raksawan, Sa-Ngiamwibool Prakasit, Panwoon Chanita, Loilome Watcharin, Klanrit Poramate, Techasen Anchalee, Chamgramol Yaovalux, Suksawat Manida, Armartmuntree Napat, O'Connor Thomas, Saya Hideyuki, Thanee Malinee
Cholangiocarcinoma Screening and Care Program (CASCAP), Khon Kaen University, Khon Kaen, Thailand.
Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Sci Rep. 2025 Apr 8;15(1):11984. doi: 10.1038/s41598-025-96442-4.
Cholangiocarcinoma (CCA) is an epithelial bile duct cancer frequently found at an advanced stage, leading to poor response to current therapies. Although gemcitabine (GEM) and cisplatin (CIS) are the current gold-standard for treating unresectable CCA, GEM resistance often occurs. To predict the response to GEM, we evaluated chromosomal aberrations using a chromosome microarray, and their association with GEM response by histoculture drug response assay. Our findings revealed principal component analysis and orthogonal partial-least square discriminant analysis cross validated score plot between response and non-response groups were different. Different signature patterns of chromosomes between response and non-response groups analyzed by heatmap analysis identified 34 regions of 15 chromosomes. An increased signal in responders and a decreased signal in non-responders were found in regions 4q32.1, 5q12.3, 10q21.3, 11p11.2, 11q14.2, 16p11.2, 17q22, 21q21.3 and 22q12.3. In contrast, a high signal in non-responders and low signal in responders were seen in regions 2q37.2, 11q14.1, 16q22.3 and 16q23.3. High signal of CDH13 and TENM4 were demonstrated in GEM non-response, while a high CWC27 signal was noted in GEM response. This signature pattern could provide the knowledge to improve a predictive biomarker for GEM response, benefitting for individual CCA patient management and chemotherapeutic selection.
胆管癌(CCA)是一种上皮性胆管癌,常在晚期被发现,导致对当前治疗反应不佳。尽管吉西他滨(GEM)和顺铂(CIS)是目前治疗不可切除CCA的金标准,但GEM耐药经常发生。为了预测对GEM的反应,我们使用染色体微阵列评估染色体畸变,并通过组织培养药物反应试验评估它们与GEM反应的关联。我们的研究结果显示,主成分分析和正交偏最小二乘判别分析交叉验证的反应组和无反应组之间的得分图不同。通过热图分析,反应组和无反应组之间不同的染色体特征模式确定了15条染色体的34个区域。在4q32.1、5q12.3、10q21.3、11p11.2、11q14.2、16p11.2、17q22、21q21.3和22q12.3区域,反应者信号增加,无反应者信号减少。相反,在2q37.2、11q14.1、16q22.3和16q23.3区域,无反应者信号高,反应者信号低。在GEM无反应中显示CDH13和TENM4信号高,而在GEM反应中注意到CWC27信号高。这种特征模式可以为改善GEM反应的预测生物标志物提供知识,有利于个体CCA患者的管理和化疗选择。