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A mutational co-occurrence network in gastric cancer based on an association index

Authors
Park, SungjinNam, Seungyoon
Issue Date
Jun-2018
Publisher
INDERSCIENCE ENTERPRISES LTD
Keywords
gastric cancer; microsatellite stability status; network models; association index; Notch; Wnt; DNA repair
Citation
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.20, no.1, pp.67 - 76
Journal Title
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
Volume
20
Number
1
Start Page
67
End Page
76
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5247
DOI
10.1504/IJDMB.2018.10013381
ISSN
1748-5673
Abstract
Gastric cancer (GC) is one of the most lethal, as well as one of the heterogeneous, cancer types. Possible GC molecular mechanisms could be revealed by mutational co-occurrence analyses. Despite a known association between mutational co-occurrences and GC signalling contexts, no specific mechanisms have been identified. Here, known GC signalling contexts, including cancer hallmarks (DNA repair, WNT signalling, Notch signalling), were inspected in terms of mutational co-occurrences, and in particular, for a specific GC phenotype, microsatellite status (stable or low or high instability). By correlating mutational co-occurrences of gene pairs within cancer hallmarks, we constructed mutational co-occurring networks for each type of microsatellite status. As a result, we found that one status type, microsatellite-stable (MSS), associated with mutation of JAG1, likely co-occurs for genes belonging to the WNT and Notch signalling pathways. Our study may support the feasibility of a new therapeutic strategy of designing compounds that target Notch signalling, in MSS GC patients.
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College of Medicine (Premedical Course)
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