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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1540298
This article is part of the Research Topic Harnessing Big Data for Precision Medicine: Revolutionizing Diagnosis and Treatment Strategies View all 18 articles

Unveiling the Multifaceted Role of CXCL1 in Ovarian Cancer, Atherosclerosis, and Valvular Calcification: An Integrated Bioinformatics Perspective

Provisionally accepted
Qin Fajian Qin Fajian 1Li Keran Li Keran 2Yan Rui Yan Rui 1Weiping Li Weiping Li 1Ding Xueyuan Ding Xueyuan 1*
  • 1 Yiling People's Hospital, Yichang, Hebei Province, China
  • 2 Hubei University of Chinese Medicine, Wuhan, Hubei Province, China

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

    Background: Ovarian cancer is known for poor survival rates, and the molecular links to atherosclerosis and valvular calcification suggest a complex interplay of biological mechanisms. We aimed to investigate shared genes in these conditions through an integrated bioinformatics approach.We conducted a comprehensive analysis of gene expression datasets GSE100927, GSE51472, and GSE12470 from the GEO repository to identify differentially expressed genes (DEGs) related to ovarian cancer, atherosclerosis, and valvular calcification. The focus was on CXCL1, given its established link to cancer progression and inflammation.Results: Our bioinformatics analysis revealed CXCL1 as a key DEG shared among the three pathologies. Experimental validation demonstrated that CXCL1 targeting modulates cell inflammation.Conclusions: CXCL1s role in disease pathogenesis is multifaceted, indicating its importance as a biomarker and therapeutic target. This study provides a foundation for developing targeted therapies and underscores the value of integrated bioinformatics in elucidating the molecular crosstalk in complex diseases.

    Keywords: CXCL1, ovarian cancer, Atherosclerosis, Valvular calcification, bioinformatics, Therapeutic target

    Received: 05 Dec 2024; Accepted: 15 Jan 2025.

    Copyright: © 2025 Fajian, Keran, Rui, Li and Xueyuan. 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: Ding Xueyuan, Yiling People's Hospital, Yichang, 433100, Hebei Province, China

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