Literature DB >> 35284122

Mutational characteristics of young and elderly gastric cancer: a comparative study.

Long Li1, Yin Li2, Li Lin3, Yanling Liu4, Linshan Duan4, Dan Wang1, Shuyu Cheng1, Guoyan Liu1,4,5.   

Abstract

Background: Young gastric cancer (YGC) has been indicated as having a worse prognosis than in elderly gastric cancer (EGC). It has been reported that YGC and EGC patients show different genomic profiles; however, there has been no comparative study conducted to reveal their mutational characteristics.
Methods: Firstly, we divided and analyzed the mutational landscape and 50 cancer-related genes characters of YGC (n=18) and EGC (n=18) patients from The Cancer Genome Atlas-Stomach Adenocarcinoma (TCGA-STAD). A total of 8 gastric cancer samples including 4 YGC and 4 EGC patients were collected to detect 50 cancer-related genes by multiplex polymerase chain reaction (PCR) next generation sequencing. The R/maftools package was used to describe the mutational characteristics.
Results: Our results showed that the EGC group harbored more mutations than the YGC group. In 50 cancer-related genes in our cohort, the YGC group tended to be different from the EGC group using multiplex PCR next generation sequencing. In the YGC group, candidate mutations were identified within the following genes: IDH2, PDGFRA, KRAS, FLT3, FGFR2, and FGFR3. The YGC group showed less tumor mutational burden (TMB) level then EGC. Conclusions: The YGC group tended to be more sensitive to molecularly targeted therapy because of it having more somatic mutations in 50 cancer-related genes using targeted next-generation sequencing. 2022 Journal of Gastrointestinal Oncology. All rights reserved.

Entities:  

Keywords:  Young gastric cancer (YGC); elderly gastric cancer (EGC); molecularly targeted therapy; targeted next-generation sequencing; tumor mutation burden (TMB)

Year:  2022        PMID: 35284122      PMCID: PMC8899741          DOI: 10.21037/jgo-21-934

Source DB:  PubMed          Journal:  J Gastrointest Oncol        ISSN: 2078-6891


  23 in total

1.  Malignant disease of the stomach in young adults.

Authors:  N J BELLEGIE; D C DAHLIN
Journal:  Ann Surg       Date:  1953-07       Impact factor: 12.969

2.  Gastric cancers in young and elderly patients show different genomic profiles.

Authors:  T E Buffart; B Carvalho; E Hopmans; V Brehm; E Klein Kranenbarg; T B M Schaaij-Visser; P P Eijk; N C T van Grieken; B Ylstra; C J H van de Velde; G A Meijer
Journal:  J Pathol       Date:  2007-01       Impact factor: 7.996

3.  Gastric carcinoma in young adults.

Authors:  P J Matley; D M Dent; M V Madden; S K Price
Journal:  Ann Surg       Date:  1988-11       Impact factor: 12.969

4.  Carcinoma of the stomach in the young adult.

Authors:  R S Bloss; T A Miller; E M Copeland
Journal:  Surg Gynecol Obstet       Date:  1980-06

5.  Gastric carcinoma in the young.

Authors:  P L Tso; W L Bringaze; A H Dauterive; P Correa; I Cohn
Journal:  Cancer       Date:  1987-04-01       Impact factor: 6.860

6.  Gastric cancer in young patients.

Authors:  T Eguchi; Y Takahashi; M Yamagata; M Kasahara; M Fujii
Journal:  J Am Coll Surg       Date:  1999-01       Impact factor: 6.113

7.  Detection of EML4-ALK fusion gene and features associated with EGFR mutations in Chinese patients with non-small-cell lung cancer.

Authors:  Miaomiao Wen; Xuejiao Wang; Ying Sun; Jinghua Xia; Liangbo Fan; Hao Xing; Zhipei Zhang; Xiaofei Li
Journal:  Onco Targets Ther       Date:  2016-04-05       Impact factor: 4.147

8.  Molecular Epidemiology of EGFR Mutations in Asian Patients with Advanced Non-Small-Cell Lung Cancer of Adenocarcinoma Histology - Mainland China Subset Analysis of the PIONEER study.

Authors:  Yuankai Shi; Junling Li; Shucai Zhang; Mengzhao Wang; Shujun Yang; Ning Li; Gang Wu; Wei Liu; Guoqing Liao; Kaican Cai; Liang'an Chen; Meizhen Zheng; Ping Yu; Xiuwen Wang; Yunpeng Liu; Qisen Guo; Ligong Nie; Jiwei Liu; Xiaohong Han
Journal:  PLoS One       Date:  2015-11-23       Impact factor: 3.240

9.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

10.  The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice.

Authors:  Kenneth L Abbott; Erik T Nyre; Juan Abrahante; Yen-Yi Ho; Rachel Isaksson Vogel; Timothy K Starr
Journal:  Nucleic Acids Res       Date:  2014-09-04       Impact factor: 16.971

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