Identifying a unique chromosomal pattern to predict the gemcitabine response in patients with cholangiocarcinoma

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-08
DOI
https://doi.org/10.1038/s41598-025-96442-4
Citations
1
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
2.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying a unique chromosomal pattern to predict the gemcitabine response in patients with cholangiocarcinoma

Anchalee Techasen, Prakasit Sa-Ngiamwibool, Manida Suksawat, Watcharin Loilome et al.
1 citations
Scientific Reports
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
article

Identifying a unique chromosomal pattern to predict the gemcitabine response in patients with cholangiocarcinoma

Anchalee Techasen, Prakasit Sa-Ngiamwibool, Manida Suksawat, Watcharin Loilome, Raksawan Deenonpoe, Napat Armartmuntree, Sasithorn Watcharadetwittaya, Malinee Thanee, Poramate Klanrit, Yaovalux Chamgramol, Hideyuki Saya, Chanita Panwoon, T O'Connor, Sutheemon Techa-Ay
article en
1 citations

Abstract

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.

Scientific ReportsVol. 15(1)
Fujita Health University (JP), Khon Kaen University (TH), Keio University (JP), Mahidol University (TH), University of Bristol (GB)
Khon Kaen University, Cholangiocarcinoma Research Institute, Khon Kaen University
Good health and well-being
Openalex Percentile: Top 17%
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.