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Current Bioinformatics

Editor-in-Chief

ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

Research Article

Whole-exome Sequencing of Tumor-only Samples Reveals the Association between Somatic Alterations and Clinical Features in Pancreatic Cancer

Author(s): Wenwen Ran, Xiangbin Chen , Bo Wang, Ping Yang, Yongxing Li, Yujing Xiao, Xiaonan Wang, Guangqi Li, Lili Wang, Yingmin Han, Yonggang Peng, Jidong Lang, Yuebin Liang, Yupei Xiao, Qingqing Lu, Huixin Lin , Geng Tian, Dawei Yuan, Chaoyang Deng, Jialiang Yang and Xiaoming Xing*

Volume 15, Issue 10, 2020

Page: [1160 - 1167] Pages: 8

DOI: 10.2174/1574893615999200626190346

Price: $65

Abstract

Background: Identification of genomic markers using NGS (next-generation sequencing) technology would be valuable for guiding precision medicine treatments for pancreatic cancers. Traditional somatic mutation methods require both tumor and matched non-tumor samples. However, only tumor samples are available mostly, especially in retrospective studies. In this study, we tried to analyze the associations between clinical features and oncogenic somatic mutations in genome-wide tumor-only samples.

Methods: Fifty-four tumor-only samples derived from pancreatic cancer patients were used for whole-exome sequencing. An approach involving SNP filtering of variants included in the Catalogue of Somatic Mutations in Cancer (COSMIC) database was used to identify oncogenic somatic mutations. The relationships between oncogenic mutations and clinical features were analyzed and simultaneously compared with those from the TCGA database.

Results: By analyzing the mutations from tumor only samples, divergent mutation profiles were observed in different locations (head vs. body/tail) of pancreatic tumors. The divergences between pancreatic head and body/tail cancers were also confirmed by the TCGA data. Furthermore, mutations of several genes were found to be significantly associated with clinical features, such as pathological stage and the degree of tumor differentiation.

Conclusion: The results confirmed the efficiency of our approach in identifying oncogenic somatic mutations from tumor only samples and revealed the associations between somatic mutations and clinical features in pancreatic cancer.

Keywords: Oncogenic somatic mutation, clinical pathogenic factors, association, pancreatic cancer, NGS, tumors.

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