Literature DB >> 30693898

Comparative study of renal cell carcinoma in patients less than 40 years of age and older age patients: A retrospective single-center study.

Dilip Kumar Pal1, Arun Kumar Maurya1, Debarshi Jana1.   

Abstract

BACKGROUND: Renal cell carcinoma (RCC) is typically found in the older age group between 50 and 70 years of age. However, diagnosis of renal cancer is increasing more rapidly in patients less than 40 years if age compared to older age patients. AIMS AND
OBJECTIVES: To compare the clinicopathological spectrum and survival in patients with RCC in relation to age in a tertiary care hospital in eastern India. STUDY
DESIGN: Retrospective cohort study.
MATERIALS AND METHODS: Patients operated between February 2008 and January 2017 for renal masses having clinical and radiological suspicion and histopathologically proven RCC were analyzed from hospital records. Clinicopathological data and survival study were compared between patients less than 40 years of age and older age patients. STATISTICAL ANALYSIS USED: Statistical and survival analysis was done using Statistical Package for the Social Sciences 20.
RESULTS: Among 198 patients, 36 (18.2%) patients less than 40 years were diagnosed with RCC and 162 in older patients. In these 36 younger patients, 17 (47.2%) were male and 19 (52.7%) were female. A total of 63.8% in younger age group and 69.1% of older patients were diagnosed with stage 1 and 2 RCC; comparing younger to older patients, younger patients had high number of papillary carcinoma (22.2% vs. 11.7%, P = 0.096). Younger patients have shown marginally better 5-year overall survival and disease-free survival (P > 0.05).
CONCLUSION: Our study concludes that younger age patients were more affected by RCC specially papillary RCC, when compared to western population. In addition females had more incidence of RCC. Prognosis was similar in both groups.

Entities:  

Keywords:  Clear-cell carcinoma; renal cell carcinoma; survival; young adult

Mesh:

Year:  2018        PMID: 30693898     DOI: 10.4103/ijc.IJC_636_17

Source DB:  PubMed          Journal:  Indian J Cancer        ISSN: 0019-509X            Impact factor:   1.224


  2 in total

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2.  Development and Clinical Validation of a Seven-Gene Prognostic Signature Based on Multiple Machine Learning Algorithms in Kidney Cancer.

Authors:  Mi Tian; Tao Wang; Peng Wang
Journal:  Cell Transplant       Date:  2021 Jan-Dec       Impact factor: 4.064

  2 in total

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