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May 2, 20260 citations

Vietnamese cohort study on non-renal cell carcinoma kidney cancers: Identifying tumor size as an independent prognostic factor.

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KTKinh Luan ThaiDNDoan Ngoc Tran NguyenNTNhu Q. Tran

Key Points

  • This study investigates the clinical and pathological features of non-renal cell carcinoma kidney cancers and their impact on survival.
  • Conducted a retrospective single-center cohort study on 81 patients at Cho Ray Hospital.
  • Data collected from medical records included clinical, imaging, and histopathological characteristics.
  • Statistical analysis performed using Stata 14.0 software.
  • Predominantly male patients diagnosed with non-RCC kidney cancers after symptom onset.
  • SCC and UTUC were the most common histopathological subtypes identified.
  • Statistical analysis showed significance in the relationship between tumor size and patient outcomes (p=0.049).

Abstract

INTRODUCTION: Kidney cancer is the third most common malignancy of the urinary system. Non-renal cell carcinoma kidney cancer (non-RCC kidney cancer), though accounting for only 15%-20% of cases, displays distinct biological features and prognosis, require specific diagnosis and therapeutic strategies. This study aims to determine the clinical and paraclinical characteristics, the histopathological subtypes and factors associated with overall survival of patients diagnosed with non-RCC kidney cancer. PATIENTS AND METHODS: We conducted a retrospective single-center cohort study on 81 patients diagnosed with non-RCC kidney cancer at Cho Ray Hospital between January 2019 and April 2024. Data were collected from medical records, including clinical, imaging, and histopathological characteristics. Statistical analysis was performed using Stata 14.0 software. RESULTS: = 0.049). CONCLUSIONS: Non-RCC kidney cancers present with a variety of clinical features, predominantly in males, and are generally diagnosed after symptom onset. SCC and UTUC are the most common histopathological subtypes. Early identification and accurate pathological classification are essential for optimal treatment strategies and prognosis.

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Cite This Study

Thai et al. (2026) studied this question.

synapsesocial.com/papers/69f594ca71405d493afff9cdhttps://doi.org/10.1177/03915603261445175
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