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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1518010

Prediction of Prognosis , Immunogenicity and Efficacy of Immunotherapy Based on Cholesterol Metabolism in Gastric Cancer

Provisionally accepted
Chengjun Zhu Chengjun Zhu Mengpei Yan Mengpei Yan Zhijun Zhang Zhijun Zhang Yikai Shen Yikai Shen Wangwen Wang Wangwen Wang Zetian Chen Zetian Chen Changsheng Cai Changsheng Cai Hongda Liu Hongda Liu Xu Zekuan Xu Zekuan *Zheng Li Zheng Li *
  • Nanjing Medical University, Nanjing, China

The final, formatted version of the article will be published soon.

    Cholesterol metabolism plays a crucial role in tumor progression and the modulation of immune responses. However, the precise connection between cholesterol metabolism-related genes (CMRGs) and their implications for clinical prognosis and the outcomes of immunotherapy in gastric cancer remains to be definitively elucidated. We classified 675 gastric cancer patients into three subgroups with distinct prognoses, tumor microenvironments, and clinical features. Further analysis with differential genes led to two more subgroups via consensus clustering. With PCA, we developed a prognostic score predicting survival and immunotherapy response. Results showed the high-score subgroup had significantly better survival, higher TMB and MSI, and more mutated genes, indicating greater immunotherapy sensitivity. Additionally, we established a link between GPC3 expression and cholesterol levels, validating GPC3's biological role. These findings highlight the importance of CMRGs, deepen the understanding of tumor immune microenvironment, and guide individualized immunotherapy for gastric cancer patients.

    Keywords: gastric cancer, Cholesterol, prognosis, Tumor Microenvironment, Immunotherapy

    Received: 27 Oct 2024; Accepted: 29 Nov 2024.

    Copyright: © 2024 Zhu, Yan, Zhang, Shen, Wang, Chen, Cai, Liu, Zekuan and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xu Zekuan, Nanjing Medical University, Nanjing, China
    Zheng Li, Nanjing Medical University, Nanjing, China

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