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pmid:38455068

Uncovering the potential of APOD as a biomarker in gastric cancer: A retrospective and multi-center study.

Zisong Wang · Hongshan Chen · Le Sun · Xuanyu Wang · Yihang Xu · Sufang Tian · Xiaoping Liu

Computational and structural biotechnology journal · 2024 doi:10.1016/j.csbj.2024.02.015

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Uncovering the potential of APOD as a biomarker in gastric cancer: A retrospective and multi-center study.
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10.1016/j.csbj.2024.02.015
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Zisong Wang
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Hongshan Chen
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Le Sun
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Xuanyu Wang
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Yihang Xu
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Sufang Tian
[6]
Xiaoping Liu
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Computational and structural biotechnology journal
year
2024
abstract
Gastric cancer (GC) poses a significant health challenge worldwide, necessitating the identification of predictive biomarkers to improve prognosis. Dysregulated lipid metabolism is a well-recognized hallmark of tumorigenesis, prompting investigation into apolipoproteins (APOs). In this study, we focused on apolipoprotein D (APOD) following comprehensive analyses of APOs in pan-cancer. Utilizing data from the TCGA-STAD and GSE62254 cohorts, we elucidated associations between APOD expression and multiple facets of GC, including prognosis, tumor microenvironment (TME), cancer biomarkers, mutations, and immunotherapy response, and identified potential anti-GC drugs. Single-cell analyses and immunohistochemical staining confirmed APOD expression in fibroblasts within the GC microenvironment. Additionally, we independently validated the prognostic significance of APOD in the ZN-GC cohort. Our comprehensive analyses revealed that high APOD expression in GC patients was notably associated with unfavorable clinical outcomes, reduced microsatellite instability and tumor mutation burden, alterations in the TME, and diminished response to immunotherapy. These findings provide valuable insights into the potential prognostic and therapeutic implications of APOD in GC.
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Including APOD grouping, survival status, and follow-up time in the model, we calculated a p-value for trend of 0.013 in TCGA-STAD and 4.65 × 10–6 in GSE62254, confirming a significant correlation between APOD expression and patient survival.
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tial anti-GC drugs. Single-cell analyses and immunohistochemical staining confirmed APOD expression in fibrob
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