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ORIGINAL RESEARCH article

Front. Oncol.

Sec. Genitourinary Oncology

Volume 15 - 2025 | doi: 10.3389/fonc.2025.1566848

This article is part of the Research Topic Harnessing Big Data for Precision Medicine: Revolutionizing Diagnosis and Treatment Strategies View all 25 articles

LAR, FAR, and PLR as Prognostic Factors in High-Grade Urothelial Carcinoma of the Bladder After Surgery

Provisionally accepted
Huadong Xie Huadong Xie 1元必 黄 元必 黄 2Chengjie Ban Chengjie Ban 3Wei Wei Wei Wei 3Han Tang Han Tang 3Qingming Huang Qingming Huang 3Zhengwei Su Zhengwei Su 3Zhi Cheng Zhi Cheng 1Tianling Liao Tianling Liao 4Kangji Liao Kangji Liao 5Liquan Zhou Liquan Zhou 1*Xinlin Yi Xinlin Yi 1*
  • 1 Second Affiliated Hospital of Guangxi Medical University, Nanning, China
  • 2 Liuzhou Workers Hospital, Liuzhou, Guangxi Zhuang Region, China
  • 3 Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Region, China
  • 4 Guangxi Medical University, Nanning, Guangxi Zhuang Region, China
  • 5 Wuming Hospital Affiliated to Guangxi Medical University, Nanning, Guangxi Zhuang Region, China

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

    Objective: We evaluated the prognostic significance of the Lactate Dehydrogenase-to-Serum Albumin Ratio (LAR), Fibrinogen-to-Albumin Ratio (FAR), and Platelet-to-Lymphocyte Ratio (PLR) in patients with high-grade urothelial carcinoma (HGUC) of the bladder who underwent radical cystectomy (RC). These markers have been reported to be associated with the prognosis of various cancers.Methods: A retrospective analysis was conducted on HGUC patients who underwent RC at Guangxi Medical University Cancer Hospital between January 2013 and June 2021. Optimal cutoff values for LAR, FAR, and PLR were established. Kaplan-Meier survival analysis was used to evaluate survival outcomes, while univariate and multivariable Cox regression analyses identified independent prognostic factors. A nomogram was developed to predict survival, with validation through time-dependent receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).Results: A total of 180 patients were included, with a follow-up period ranging from 2 to 127 months (49.28 ± 37.87 months). The optimal cutoff values for LAR, PLR, and FAR were 4.46, 139.68, and 0.13, respectively. Multivariable Cox regression identified tumor stage, LAR, PLR, and FAR as independent prognostic factors. Specifically, Stage III (HR = 25.44, 95% CI: 5.20–124.35, p < 0.001) and Stage IV (HR = 11.28, 95% CI: 3.18–40.05, p < 0.001) were independent risk factors for poor survival. A low PLR (HR = 0.45, 95% CI: 0.27–0.76, p = 0.003), low FAR (HR = 0.51, 95% CI: 0.29–0.89, p = 0.018), and low LAR (HR = 0.39, 95% CI: 0.23–0.67, p < 0.001) were independently associated with improved survival. The nomogram demonstrated high accuracy in predicting 1-, 3-, and 5-year overall survival (OS), with area under the curve (AUC) values of 0.866, 0.84, and 0.831, respectively. Further validation confirmed the model's stability and clinical applicability.Conclusion: LAR, PLR, and FAR are promising prognostic factors for HGUC of the bladder following RC, showing substantial potential for prognostic evaluation.

    Keywords: Lactate dehydrogenase-to-serum albumin ratio, platelet-to-lymphocyte ratio, fibrinogen-to-albumin ratio, High-grade urothelial carcinoma, prognosis

    Received: 28 Jan 2025; Accepted: 25 Feb 2025.

    Copyright: © 2025 Xie, 黄, Ban, Wei, Tang, Huang, Su, Cheng, Liao, Liao, Zhou and Yi. 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:
    Liquan Zhou, Second Affiliated Hospital of Guangxi Medical University, Nanning, China
    Xinlin Yi, Second Affiliated Hospital of Guangxi Medical University, Nanning, 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.

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