Exploration of the cancers association based on somatic data in TCGA
- 10.2991/jimet-15.2015.87How to use a DOI?
- Somatic Data, Cancers, Association, TCGA
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.
- © 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/).
Cite this article
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 -