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Development of a prognostic metabolic signature in stomach adenocarcinoma

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Abstract

Purpose

The growth and aggressiveness of Stomach adenocarcinoma (STAD) is significantly affected by basic metabolic changes. This study aimed to identify metabolic gene prognostic signatures in STAD.

Methods

An integrative analysis of datasets from the Cancer Genome Atlas and Gene Expression Omnibus was performed. A metabolic gene prognostic signature was developed using univariable Cox regression and Kaplan–Meier survival analysis. A nomogram model was developed to predict the prognosis of STAD patients. Finally, Gene Set Enrichment Analysis (GESA) was used to explore the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways significantly associated with the risk grouping.

Results

A total of 327 metabolism-related differentially expressed genes were identified. Three subtypes of STAD were identified and nine immune cell types, including memory B cell, resting and activated CD4+ memory T cells, were significantly different among the three subgroups. A risk score model including nine survival-related genes which could separate high-risk patients from low-risk patients was developed. The prognosis of STAD patients likely benefited from lower expression levels of genes, including ABCG4, ABCA6, GPX8, KYNU, ST8SIA5, and CYP19A1. Age, radiation therapy, tumor recurrence, and risk score model status were found to be independent risk factors for STAD and were used for developing a nomogram. Nine KEGG pathways, including spliceosome, pentose phosphate pathway, and citrate TCA cycle were significantly enriched in GESA.

Conclusion

We propose a metabolic gene signature and a nomogram for STAD which might be used for predicting the survival of STAD patients and exploring prognostic markers.

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Funding

This work was supported by Changzhou Sci&Tech (CJ20200097) and Young Science & Technology Project of Changzhou Health Commission (QN202033).

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Authors and Affiliations

  1. Department of Gastrointestinal Surgery, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, 68 GeHu Road, Changzhou, 213000, Jiangsu, China

    Yu Gong, Haojun Yang & Yuwen Jiao

  2. Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, 213000, China

    Siyuan Wu

  3. Bengbu Medical University, Benbu, 233000, China

    Sen Dong

  4. Nanjing Medical University, Jiangsu, 213000, China

    Shuai Chen

  5. Dalian Medical University, Dalian, 116000, China

    Gengdi Cai & Kun Bao

Authors
  1. Yu Gong
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  2. Siyuan Wu
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  3. Sen Dong
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  4. Shuai Chen
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  5. Gengdi Cai
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  6. Kun Bao
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  7. Haojun Yang
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  8. Yuwen Jiao
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Contributions

YG and SW conceived and designed the study, and drafted the manuscript. SD, SC and GC collected, analyzed and interpreted the experimental data. KB, HY and YJ revised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yuwen Jiao.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study was approved by Ethical Committee of The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University and conducted in accordance with the ethical standards.

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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Gong, Y., Wu, S., Dong, S. et al. Development of a prognostic metabolic signature in stomach adenocarcinoma. Clin Transl Oncol 24, 1615–1630 (2022). https://doi.org/10.1007/s12094-022-02809-8

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  • DOI: https://doi.org/10.1007/s12094-022-02809-8

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