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ArticleInternational urology and nephrology2025

Development and validation of a predictive model for postoperative metastasis of upper tract urothelial carcinoma after radical nephroureterectomy and analysis of risk factors for different metastatic sites: a multicenter study.

ZiMing Kang, Cheng Wang, WanRong Xu, Biao Zhang, JiangHou Wan, HengPing Li, PanFeng Shang

Abstract readMulticenter StudyValidation Study
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Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

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7 authors.

ZiMing KangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu Province, China.
Cheng WangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu Province, China.
WanRong XuDepartment of Urology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu Province, China.
Biao ZhangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu Province, China.
JiangHou WanDepartment of Urology, Lanzhou University First Hospital, Lanzhou University, Lanzhou, Gansu Province, China.
HengPing LiDepartment of Urology, Gansu Provincial Hospital, Lanzhou, Gansu Province, China.
PanFeng ShangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu Province, China. shangpf@lzu.edu.cn.

Funding

CuiYing Science and Technology Innovation plan project of Lanzhou University Second Hospital CY2021-MS-B16Medical education innovation and development program of Lanzhou University lzuyxcx-2022-106
6 · The paper itself

Abstract

purposeTo develop a prediction model for assessing the risk of postoperative metastasis in upper tract urothelial carcinoma (UTUC) patients after radical nephroureterectomy (RNU) and to analyze independent risk factors for metastasis at different sites.

methodsWe retrospectively analyzed data from 555 UTUC patients who underwent RNU at 3 medical centers between January 2012 and August 2023. Patients were randomly divided into a training cohort (n = 388) and a validation cohort (n = 167) at a 7:3 ratio. Univariate and multivariate Cox regression analyses were performed in the training cohort to identify postoperative metastasis risk factors. A nomogram was developed based on these factors and validated. In addition, independent risk factors for metastasis at different sites were analyzed.

resultsAmong the 555 patients, 122 (22.0%) developed postoperative metastasis. Middle and lower ureteral tumors, T stage ≥ T3, high-grade tumors, lymphovascular invasion (LVI), and a prognostic nutritional index (PNI) < 48.75 were associated with poorer metastasis-free survival (MFS). The nomogram achieved C-indexes of 0.816 and 0.812 in the training and validation cohorts. Age < 65 years was a risk factor for lymph node metastasis, tumor size and necrosis predicted liver metastasis, and a higher preoperative platelet-to-lymphocyte ratio (PLR) was associated with bone metastasis. Median overall survival (OS) for lymph node, lung, liver, multiple sites, bone, and brain metastasis were 14, 10, 6, 5.5, 5, and 4.5 months, respectively.

conclusionThe prediction model developed effectively assesses postoperative metastasis risk in UTUC patients' aids in guiding individualized treatment. The risk factors for different metastasis sites are generally similar, with slight variations, which may offer new directions for future research on site-specific therapeutic strategies.

Indexed as

Carcinoma, Transitional CellKidney NeoplasmsNephroureterectomyNomogramsUreteral NeoplasmsAgedFemaleHumansMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesRisk AssessmentRisk FactorsMetastasis siteNomogramPredictive modelPrognosisRisk factorUpper tract urothelial carcinoma

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