Evidence map›Paper›PMID 42201528›Full record

ArticleDiscover oncology2026

Tumor size predicts metastatic disease at diagnosis and prognosis in unilateral Wilms tumor: a population based study with external validation.

Kongkong Cui, Zaihong Hu, Peng Hong, Teng Long, Zhijun Zhang, Xiaomao Tian, Qinlin Shi, Guanghui Wei

Abstract read
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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kongkong Cui *Department of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Zaihong Hu *Department of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Peng HongDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Teng LongDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Zhijun ZhangDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Xiaomao TianDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.
Qinlin ShiDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China. 485141@hospital.cqmu.edu.cn.
Guanghui WeiDepartment of Urology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Children Urogenital Development and Tissue Engineering of Chongqing Education Commission of China, Chongqing, China.

Funding

National Natural Science Foundation of China 82302948
6 · The paper itself

Abstract

backgroundThe impact of tumor size on prognosis, metastasis, and treatment response in Wilms tumor (WT) remains incompletely understood. This study aimed to elucidate the influence of tumor size on survival, metastatic risk, and the efficacy of radiotherapy and chemotherapy in WT patients.

methodsWe analyzed WT patients in the Surveillance, Epidemiology, and End Results (SEER) program (2000-2022) and from our institution's electronic medical records (2013-2024). Survival analysis was performed using Kaplan-Meier curves and log-rank tests. Prognostic factors were identified via univariate and multivariate Cox proportional hazards models, and propensity score matching (PSM) was used to balance baseline characteristics.

resultsA total of 1916 patients from the SEER cohort and 237 patients from our institutional cohort with WT were included in this study. In the SEER cohort, patients with tumor size > 10.4 cm had significantly worse survival compared to those with tumors ≤ 10.4 cm. Restricted cubic spline (RCS) analysis revealed linear associations between tumor size and patient outcomes for overall survival (OS) (p overall = 0.011, p nonlinear = 0.906) and cancer-specific survival (CSS) (p overall = 0.010, p nonlinear = 0.998). Multivariate analysis confirmed that larger tumor size was an independent risk factor for poorer OS (HR = 1.79, p = 0.011). The metastasis rate was significantly lower in the small tumor group than in the large tumor group (87/762 vs. 187/880, p < 0.001). Among all patients who received chemotherapy, those with larger tumors had worse prognosis, particularly in the distant metastasis stage, showing a 9.8% reduction in 5-year OS. These findings were consistently validated using our institutional dataset.

conclusionLarger tumor size is associated with higher metastatic risk and unfavorable prognosis in WT. This highlights its potential value as a practical supplementary indicator for risk stratification and clinical decision-making, particularly in resource-limited settings.

Indexed as

PrognosisPropensity score matchingSEERTumor sizeWilms tumor

Identifiers

PMID42201528
PMCPMC13469047

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