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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 |
doi: 10.3389/fimmu.2024.1467527
This article is part of the Research Topic Prognostic Factors for Immunotherapy and Novel Treatments in Genito-Urinary Tumors View all 7 articles
Development and External Validation of a Model to Predict Recurrence in Patients with Non-Muscle Invasive Bladder Cancer
Provisionally accepted- Affiliated Hospital of Zunyi Medical University, Zunyi, China
Most patients initially diagnosed with non-muscle invasive bladder cancer (NMIBC) still have frequent recurrence after urethral bladder tumor electrodesiccation supplemented with intravesical instillation therapy, and their risk of recurrence is difficult to predict. Risk prediction models used to predict postoperative recurrence in patients with NMIBC have limitations, such as a limited number of included cases and a lack of validation. Therefore, there is an urgent need to develop new models to compensate for the shortcomings and potentially provide evidence for predicting postoperative recurrence in NMIBC patients.Clinicopathologic characteristics and follow-up data were retrospectively collected from 556 patients with NMIBC who underwent transurethral resection of bladder tumors by electrocautery (TURBT)
Keywords: Lasso-Cox regression, nomogram, random forest, Non-muscle invasive bladder cancer, Recurrence
Received: 20 Jul 2024; Accepted: 16 Dec 2024.
Copyright: © 2024 TANG, FANG, HUANG, YANG, YANG, LIAO, ZUO, ZHANG and ZHANG. 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:
Tianyu HUANG, Affiliated Hospital of Zunyi Medical University, Zunyi, China
Rongrong YANG, Affiliated Hospital of Zunyi Medical University, Zunyi, China
Xinqi YANG, Affiliated Hospital of Zunyi Medical University, Zunyi, China
Mingshun ZUO, Affiliated Hospital of Zunyi Medical University, Zunyi, China
Neng ZHANG, Affiliated Hospital of Zunyi Medical University, Zunyi, China
Jiangrong ZHANG, Affiliated Hospital of Zunyi Medical University, Zunyi, China
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