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.
Graphical Abstract
Current Bioinformatics
Title:Whole-exome Sequencing of Tumor-only Samples Reveals the Association between Somatic Alterations and Clinical Features in Pancreatic Cancer
Volume: 15 Issue: 10
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*
Affiliation:
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao 266003,China
Keywords: Oncogenic somatic mutation, clinical pathogenic factors, association, pancreatic cancer, NGS, tumors.
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.
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Cite this article as:
Ran Wenwen , Chen Xiangbin , Wang Bo , Yang Ping , Li Yongxing , Xiao Yujing , Wang Xiaonan, Li Guangqi , Wang Lili , Han Yingmin , Peng Yonggang , Lang Jidong , Liang Yuebin , Xiao Yupei , Lu Qingqing, Lin Huixin , Tian Geng , Yuan Dawei , Deng Chaoyang , Yang Jialiang and Xing Xiaoming *, Whole-exome Sequencing of Tumor-only Samples Reveals the Association between Somatic Alterations and Clinical Features in Pancreatic Cancer, Current Bioinformatics 2020; 15 (10) . https://dx.doi.org/10.2174/1574893615999200626190346
DOI https://dx.doi.org/10.2174/1574893615999200626190346 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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