Format

Send to

Choose Destination
Int J Biol Sci. 2018 May 22;14(8):920-929. doi: 10.7150/ijbs.24622. eCollection 2018.

Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges.

Author information

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.

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:

bioinformatics model; biomarkers discovery; cholangiocarcinoma; precision diagnosis and prognosis

PMID:
29989102
PMCID:
PMC6036745
DOI:
10.7150/ijbs.24622
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Ivyspring International Publisher Icon for PubMed Central
Loading ...
Support Center