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ORIGINAL RESEARCH article

Front. Oncol.

Sec. Genitourinary Oncology

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1613540

This article is part of the Research TopicInnovative Strategies for the Discovery of New Therapeutic Targets in Cancer TreatmentView all 7 articles

Prognostic biomarker and clinical significance of PLOD gene family in clear cell renal cell carcinoma

Provisionally accepted
Xuan  ShangXuan Shang1,2,3Liu  LiuLiu Liu1,2,3Zhenwei  YangZhenwei Yang1,2Min  YanMin Yan1,2Ruimin  RenRuimin Ren4Kexin  GuoKexin Guo1,2Jie  WangJie Wang1,2Wei  ZhangWei Zhang5Jiasong  ChangJiasong Chang1,2,3Jia-Lei  LiJia-Lei Li1,2Jimin  CaoJimin Cao1,2,3Guang  LiGuang Li6,7*Lijuan  GaoLijuan Gao1,2,3*
  • 1Department of Cardiology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 2Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 3Department of Physiology, Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 4Shanxi Bethune Hospital, Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 5Department of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
  • 6Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China
  • 7Key Laboratory of Medical Electrophysiology, Ministry of Education, Institute of Cardiovascular Medicine, Southwestern Medical University, Luzhou, Sichuan Province, China

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

Background: The PLOD gene family, involved in extracellular matrix (ECM) remodeling, plays a role in tumor progression, but its comprehensive role and clinical significance in clear cell renal cell carcinoma (ccRCC) remains unclear. Methods: We integrated multi-omics bioinformatics analyses from public databases (TCGA, GEO) with experimental validation using RT-qPCR, western blotting, and functional assays to systematically evaluate the expression patterns, prognostic value, immune microenvironment associations and drug resistance of PLOD genes in ccRCC. Computational approaches, including the comparative toxicogenomics database and molecular docking, were further employed to identify potential chemical modulators. Results: PLOD1, PLOD2, and PLOD3 were consistently overexpressed at both mRNA and protein levels in ccRCC tissues and cell lines. High PLOD expression was significantly correlated with reduced overall survival, and poor-free survival. Functional enrichment analysis revealed involvement in collagen biosynthesis, ECM-receptor interaction, and lysine degradation pathways. PLOD expression was also linked to an immunosuppressive microenvironment and resistance to conventional therapeutics. Through toxicogenomics screening and molecular docking, acetaminophen was identified as a potential regulator of all three PLOD proteins. Conclusions: This study underscores the pivotal role of the PLOD family in ccRCC pathogenesis through ECM remodeling, immune modulation, and therapy resistance. Our results support their utility as diagnostic and prognostic biomarkers, and acetaminophen may serve as a candidate for targeting PLOD-mediated pathways, providing a foundation for future preclinical and therapeutic investigations.

Keywords: Clear cell renal cell carcinoma (ccRCC), PLOD gene family, prognostic biomarker, Collagen biosynthesis, bioinformatics

Received: 17 Apr 2025; Accepted: 22 Sep 2025.

Copyright: © 2025 Shang, Liu, Yang, Yan, Ren, Guo, Wang, Zhang, Chang, Li, Cao, Li and Gao. 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:
Guang Li, liguang@swmu.edu.cn
Lijuan Gao, gaolijuan@sxmu.edu.cn

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