Int J Biol Sci 2018; 14(8):920-929. doi:10.7150/ijbs.24622 This issue


Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges

Fuliang Qian1, Junping Guo2, Zhi Jiang 1, Bairong Shen1,3,4✉

1. Center for Systems Biology, Soochow University, Suzhou 215006, China;
2. The Affiliated Yixing Hospital of Jiangsu University, Yixing, 214200, China.
3. Guizhou University School of Medicine, Guiyang, 550025, China
4. Institute for Systems Genetics, West China Hospital, Sichuan University, Chengdu, 610041, China

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license ( See for full terms and conditions.
Qian F, Guo J, Jiang Z, Shen B. Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges. Int J Biol Sci 2018; 14(8):920-929. doi:10.7150/ijbs.24622. Available from

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Graphic abstract

Translational bioinformatics is becoming a driven force and a new scientific paradigm for cancer research in the era of big data. To promote the cross-disciplinary communication and research, we take cholangiocarcinoma as an example to review the present status and the future perspectives of the bioinformatics models applied in cancer study. We first summarize the present application of computational methods to the study of cholangiocarcinoma ranged from pattern recognition of biological data, knowledge based data annotation to systems biological level modeling and clinical translation. Then the future opportunities and challenges about database or knowledge base building, novel model developing and molecular mechanism exploring as well as the intelligent decision supporting system construction for the precision diagnosis, prognosis and treatment of cholangiocarcinoma are discussed.

Keywords: cholangiocarcinoma, bioinformatics model, precision diagnosis and prognosis, biomarkers discovery