Exploration of the cancers association based on somatic data in TCGA

DOI

10.2991/jimet-15.2015.87How to use a DOI?

Keywords

Somatic Data, Cancers, Association, TCGA

Abstract

As the widely development of Next-generation sequencing (NGS), many studies conducted the somatic data analysis of cancers, which provides the valuable information for understanding cancer incidence and progression. In this paper, we conducted a somatic data analysis for eight cancers, they are: Glioblastoma Multiforme, Head and Neck squamous cell carcinoma, Kidney renal clear cell carcinoma (Kirc), Lung Adenocarcinoma (Luad), Lung squamous cell carcinoma (Lusc), Ovarian Cancer (Ov), Skin Cutaneous Melanoma (Skcm) and Thyroid carcinoma (Thca). We explored the potential association between these cancers based on the somatic signatures identification and the association rules analysis. We found that TTN, TP53, CSMD3, MUC16 and PCDHGC5 were genes haboring the highest mutations ratio for eight cancers. Furthermore, we found the potential association among Hnsc, Skcm and Luad using association rules method. Some evidences have approved the common risk factors and molecular abnormalities in cell-cycle regulation and signal transduction predominate among these three cancers. Our analysis might help shed light on the links between different cancers as a whole.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hong Xia
AU  - Lin Hua
AU  - WeiYing Zheng
AU  - Ping Zhou
PY  - 2015/12
DA  - 2015/12
TI  - Exploration of the cancers association based on somatic data in TCGA
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 465
EP  - 473
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.87
DO  - 10.2991/jimet-15.2015.87
ID  - Xia2015/12
ER  -