Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram

PurposeTo investigate the impact of the product of preoperative platelet count and C-reactive protein (P-CRP) on the postoperative prognosis of patients with non-muscle invasive bladder cancer (NMIBC), and to construct a Nomogram to predict the recurrence-free survival (RFS) of NMIBC patients based...

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Main Authors: Junyun Wu, Zhixuan Deng, Xu Lei, Zhiyao Xu, Chenxi Tan, Yunqiao Tang, Xi Sheng, Ning Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Oncology
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Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1406585/full
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author Junyun Wu
Zhixuan Deng
Xu Lei
Zhiyao Xu
Chenxi Tan
Yunqiao Tang
Xi Sheng
Ning Yang
author_facet Junyun Wu
Zhixuan Deng
Xu Lei
Zhiyao Xu
Chenxi Tan
Yunqiao Tang
Xi Sheng
Ning Yang
author_sort Junyun Wu
collection DOAJ
description PurposeTo investigate the impact of the product of preoperative platelet count and C-reactive protein (P-CRP) on the postoperative prognosis of patients with non-muscle invasive bladder cancer (NMIBC), and to construct a Nomogram to predict the recurrence-free survival (RFS) of NMIBC patients based on pathological data.MethodsA retrospective analysis was conducted on the clinical data of 164 NMIBC patients who underwent transurethral resection of bladder tumors (TURBT) at the Second Affiliated Hospital of University of South China from January 2013 to December 2019. The endpoint of the study was the RFS. Kaplan-Meier (KM) method and Cox regression were used for analysis to identify independent factors affecting RFS. Then, the Nomogram was used to visualize the results of the multivariate analysis that were statistically significant and related to the RFS of NMIBC patients. Finally, the predictive ability of the model was evaluated using the concordance index (C-index) and calibration curves.ResultsBefore the end of the follow-up, the RFS was 88.3% at 1 year, 75.5% at 2 years, and 58.5% at 3 years. KM curves showed that P-CRP (HR=0.357, 95% CI: 0.204-0.625, P<0.001), number of tumors (HR=2.658, 95% CI: 1.572-4.494, P<0.001), tumor size (HR=2.271, 95% CI: 1.377-3.745, P=0.001), T stage of the tumor (HR=2.026, 95% CI: 1.233-3.329, P=0.005), and tumor G grade (G2: HR=1.615, 95% CI: 0.48-5.433, G3: HR=3.361, 95% CI: 1.022-11.054) were independent factors affecting the RFS of NMIBC patients after TURBT. The Nomogram could estimate the risk of tumor recurrence at 1, 2, and 3 years postoperatively. The Nomogram model incorporating P-CRP parameters had a higher predictive accuracy than the classic model that only included EORTC risk group parameters.ConclusionPreoperative P-CRP has a certain impact on the RFS of NMIBC patients after TURBT. The Nomogram incorporating P-CRP, number of tumors, tumor size, T stage, and tumor pathological grading can better predict the postoperative recurrence risk of NMIBC patients.
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spelling doaj-art-6a7a8c1d509a42b68d0f17330f85b3632025-02-03T05:11:57ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-02-011510.3389/fonc.2025.14065851406585Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogramJunyun Wu0Zhixuan Deng1Xu Lei2Zhiyao Xu3Chenxi Tan4Yunqiao Tang5Xi Sheng6Ning Yang7The Second Affiliated Hospital of University of South China, Hengyang, Hunan, ChinaInstitute of Cell Biology, Hengyang Medical School, University of South China, Hengyang, Hunan, ChinaThe Central Hospital of Shaoyang, Shaoyang, Hunan, ChinaHengyang Medical School, University of South China, Hengyang, Hunan, ChinaHengyang Medical School, University of South China, Hengyang, Hunan, ChinaThe Second Affiliated Hospital of University of South China, Hengyang, Hunan, ChinaThe Second Affiliated Hospital of University of South China, Hengyang, Hunan, ChinaThe Second Affiliated Hospital of University of South China, Hengyang, Hunan, ChinaPurposeTo investigate the impact of the product of preoperative platelet count and C-reactive protein (P-CRP) on the postoperative prognosis of patients with non-muscle invasive bladder cancer (NMIBC), and to construct a Nomogram to predict the recurrence-free survival (RFS) of NMIBC patients based on pathological data.MethodsA retrospective analysis was conducted on the clinical data of 164 NMIBC patients who underwent transurethral resection of bladder tumors (TURBT) at the Second Affiliated Hospital of University of South China from January 2013 to December 2019. The endpoint of the study was the RFS. Kaplan-Meier (KM) method and Cox regression were used for analysis to identify independent factors affecting RFS. Then, the Nomogram was used to visualize the results of the multivariate analysis that were statistically significant and related to the RFS of NMIBC patients. Finally, the predictive ability of the model was evaluated using the concordance index (C-index) and calibration curves.ResultsBefore the end of the follow-up, the RFS was 88.3% at 1 year, 75.5% at 2 years, and 58.5% at 3 years. KM curves showed that P-CRP (HR=0.357, 95% CI: 0.204-0.625, P<0.001), number of tumors (HR=2.658, 95% CI: 1.572-4.494, P<0.001), tumor size (HR=2.271, 95% CI: 1.377-3.745, P=0.001), T stage of the tumor (HR=2.026, 95% CI: 1.233-3.329, P=0.005), and tumor G grade (G2: HR=1.615, 95% CI: 0.48-5.433, G3: HR=3.361, 95% CI: 1.022-11.054) were independent factors affecting the RFS of NMIBC patients after TURBT. The Nomogram could estimate the risk of tumor recurrence at 1, 2, and 3 years postoperatively. The Nomogram model incorporating P-CRP parameters had a higher predictive accuracy than the classic model that only included EORTC risk group parameters.ConclusionPreoperative P-CRP has a certain impact on the RFS of NMIBC patients after TURBT. The Nomogram incorporating P-CRP, number of tumors, tumor size, T stage, and tumor pathological grading can better predict the postoperative recurrence risk of NMIBC patients.https://www.frontiersin.org/articles/10.3389/fonc.2025.1406585/fullnon-muscle invasive bladder cancerP-CRPprognostic analysisnomogramrecurrence-free survival
spellingShingle Junyun Wu
Zhixuan Deng
Xu Lei
Zhiyao Xu
Chenxi Tan
Yunqiao Tang
Xi Sheng
Ning Yang
Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
Frontiers in Oncology
non-muscle invasive bladder cancer
P-CRP
prognostic analysis
nomogram
recurrence-free survival
title Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
title_full Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
title_fullStr Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
title_full_unstemmed Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
title_short Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
title_sort prognostic evaluation of non muscle invasive bladder cancer with p crp and its nomogram
topic non-muscle invasive bladder cancer
P-CRP
prognostic analysis
nomogram
recurrence-free survival
url https://www.frontiersin.org/articles/10.3389/fonc.2025.1406585/full
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