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Mutational Landscape of Gastric Adenocarcinoma of the Fundic Gland Type Revealed by Whole Genome Sequencing.

Authors :
Wei, Hu
Chen, Ze Min
Xue, Xiu Fen
Xia Xi, Li
Yang, Gen Hua
Zhai, Zhi Yong
Huang, Zhao Yu
Zhou, Ping
Bao, Chong Ju
You, Li Juan
Ou Yang, Mei Ping
Xia, Gui Li
Zeng, Zhi Yu
Cui, Xiao Bing
Pei, Xiao Juan
Gong, Wei
Source :
Cancer Medicine. Oct2024, Vol. 13 Issue 19, p1-11. 11p.
Publication Year :
2024

Abstract

Background: Gastric adenocarcinoma of the fundic gland type (GA‐FG) is a newly described variant of gastric adenocarcinoma with lack of knowledges regarding its genetic features. Methods: We performed whole‐genome sequencing (WGS) in formalin‐fixed paraffin‐embedded (FFPE) tumor tissues and matched adjacent noncancerous specimens from 21 patients with GA‐FG, and integrated published datasets from 1105 patients with traditional gastric adenocarcinoma with the purpose of dissecting genetic determinants both common to conventional gastric adenocarcinoma and unique to GA‐FG disease. Results: We characterized the genomic architecture of GA‐FG disease, revealing the predominant proportion of C > T substitution among the six types of SNVs. GNAS was the most significantly mutated driver gene (14.29%). 42.8% of samples harbored "Kataegis." Distinct genomic alterations between GA‐FG and conventional gastric cancer were identified. Specifically, low mutational burden and relatively moderate mutational frequencies of significantly mutated driver genes, coupled with the absence of non‐silent alterations of formerly well‐known drivers such as TP53, PIK3CA and KRAS were identified in GA‐FG patients. Oncogenic signaling pathway analysis revealed mutational processes associated with focal adhesions and proteoglycans in cancer, highlighting both common and specific procedures during the development of GA‐FG and conventional gastric cancer. Conclusion: Our study is the first to comprehensively depict the genomic landscape highlighting the multidimensional perturbations in GA‐FG patients. These discoveries offered mechanistic insights for novel diagnostic and therapeutic strategies for patients with such disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457634
Volume :
13
Issue :
19
Database :
Academic Search Index
Journal :
Cancer Medicine
Publication Type :
Academic Journal
Accession number :
180337225
Full Text :
https://doi.org/10.1002/cam4.70290