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The combination of exon sequencing and metabolomics to establish a molecular typing system for gastric cancer.


ABSTRACT:

Background

Gastric cancer (GC) is one of the most common malignant tumors in the world. It has become increasingly difficult to meet the needs of precision therapy using the existing molecular typing system. Therefore, developing a more effective molecular typing system for GC is urgent.

Methods

In this study, 100 Chinese GC patients were included. Whole-exome sequencing (WES) and metabolomics analysis were performed to reveal the characteristics of genomic and metabolic changes.

Results

In WES, nonsynonymous mutations accounted for the majority. Based on metabolomics, GC has been divided into three subtypes with distinct metabolic features. Importantly, we ultimately divided GC into four subtypes with different metabolic characteristics, genomic alterations, and clinical prognoses by incorporating biomics analysis.

Conclusions

Integrating biological features, we constructed a novel molecular system for GC that was closely related to genetics and metabolism, providing new insights for further understanding the heterogeneity and formulating precise treatment strategies.

SUBMITTER: Yu S 

PROVIDER: S-EPMC11336309 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Publications

The combination of exon sequencing and metabolomics to establish a molecular typing system for gastric cancer.

Yu Shanshan S   Chen Ming M   Zhu Xiaohua X   Chen Cheng C   Liang Jinxiao J   Wang Haiyong H   Lu Jun J   Ding Yongfeng Y   Kong Mei M   Teng Lisong L   Zhou Donghui D  

Heliyon 20240709 15


<h4>Background</h4>Gastric cancer (GC) is one of the most common malignant tumors in the world. It has become increasingly difficult to meet the needs of precision therapy using the existing molecular typing system. Therefore, developing a more effective molecular typing system for GC is urgent.<h4>Methods</h4>In this study, 100 Chinese GC patients were included. Whole-exome sequencing (WES) and metabolomics analysis were performed to reveal the characteristics of genomic and metabolic changes.<  ...[more]

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