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

Bibliographic Details
Title: Uncovering the potential of APOD as a biomarker in gastric cancer: A retrospective and multi-center study
Authors: Zisong Wang, Hongshan Chen, Le Sun, Xuanyu Wang, Yihang Xu, Sufang Tian, Xiaoping Liu
Source: Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1051-1064 (2024)
Publisher Information: Elsevier, 2024.
Publication Year: 2024
Collection: LCC:Biotechnology
Subject Terms: Gastric cancer, APOD, Cancer biomarker, Tumor microenvironment, Immunotherapy, Biotechnology, TP248.13-248.65
More Details: 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2001-0370
Relation: http://www.sciencedirect.com/science/article/pii/S2001037024000394; https://doaj.org/toc/2001-0370
DOI: 10.1016/j.csbj.2024.02.015
Access URL: https://doaj.org/article/f90130f9414f48acaaedeb501f70ec8b
Accession Number: edsdoj.f90130f9414f48acaaedeb501f70ec8b
Database: Directory of Open Access Journals
More Details
ISSN:20010370
DOI:10.1016/j.csbj.2024.02.015
Published in:Computational and Structural Biotechnology Journal
Language:English