Skip to main content

ORIGINAL RESEARCH article

Front. Genet.
Sec. Cancer Genetics and Oncogenomics
Volume 15 - 2024 | doi: 10.3389/fgene.2024.1483991
This article is part of the Research Topic Enhancing Precision Immunotherapy: Leveraging Deep Learning and Cancer Genomics for Molecular Innovations and Clinical Applications View all articles

Elucidating Macrophage Scavenger Receptor 1's Mechanistic Contribution as a Shared Molecular Mediator in Obesity and Thyroid Cancer Pathogenesis via Bioinformatics Analysis

Provisionally accepted
Fangjian Shang Fangjian Shang 1Zhe Xu Zhe Xu 2*Haobo Wang Haobo Wang 1*Bin Xu Bin Xu 1*Ning Li Ning Li 1*Jiakai Zhang Jiakai Zhang 3*Xuan Li Xuan Li 4*Zhen Zhao Zhen Zhao 5*Xi Zhang Xi Zhang 5*Bo Liu Bo Liu 1*Zengren Zhao Zengren Zhao 1*
  • 1 Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China
  • 2 Department of Urology, The First hospital of Hebei Medical University, Shijiazhuang, China
  • 3 Department of Radiology, The First hospital of Hebei Medical University, Shijiazhuang, China
  • 4 Department of Pharmacology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
  • 5 Department of General Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China

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

    Obesity is a disease characterized by the excessive accumulation of fat. Concurrently, thyroid carcinoma (THCA) stands as the foremost endocrine malignancy. Despite the observed escalation in concurrent prevalence of both conditions, the underlying interconnections remain elusive. This indicates the need to identify potential biomarkers to predict the pathways through which obesity and THCA coexist. The study employed a variety of methods, including differential gene expression analysis, Weighted Gene Co-expression Network Analysis (WGCNA), and gene enrichment analysis.It was also supplemented with immunohistochemical data from the Human Protein Atlas (HPA), advanced machine learning techniques, and related experiments such as qPCR, to identify important pathways and key genes shared between obesity and THCA. Through differential gene expression analysis, WGCNA, and machine learning methods, we identified three biomarkers (IL6R, GZMB, and MSR1) associated with obesity. After validation analysis using THCA-related datasets and biological experiments, we selected Macrophage Scavenger Receptor 1 (MSR1) as a key gene for THCA analysis. The final analysis revealed that MSR1 is closely related to the degree of immune cell infiltration in patients with obesity and THCA, suggesting that this gene may be a potential intervention target for both obesity and THCA. Our research indicates that MSR1 may influence the occurrence and development of obesity and THCA by regulating the infiltration level of immune cells. This lays the foundation for future research on targeted therapies based on their shared mechanisms.

    Keywords: Obesity, Thyroid carcinoma, Macrophage scavenger receptor 1, Bioinformatics analysis, machine learning

    Received: 21 Aug 2024; Accepted: 09 Oct 2024.

    Copyright: © 2024 Shang, Xu, Wang, Xu, Li, Zhang, Li, Zhao, Zhang, Liu and Zhao. 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:
    Zhe Xu, Department of Urology, The First hospital of Hebei Medical University, Shijiazhuang, China
    Haobo Wang, Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China
    Bin Xu, Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China
    Ning Li, Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China
    Jiakai Zhang, Department of Radiology, The First hospital of Hebei Medical University, Shijiazhuang, China
    Xuan Li, Department of Pharmacology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
    Zhen Zhao, Department of General Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
    Xi Zhang, Department of General Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China
    Bo Liu, Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China
    Zengren Zhao, Department of General Surgery, The First hospital of Hebei Medical University, Shijiazhuang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.