Literature DB >> 29779672

Modifiable risk factors to reduce renal cell carcinoma incidence: Insight from the PLCO trial.

Jonathan Gelfond1, Osamah Al-Bayati2, Aashish Kabra2, Kevan Iffrig2, Dharam Kaushik2, Michael A Liss3.   

Abstract

INTRODUCTION: Identify modifiable factors contributing to renal cell carcinoma in the PCLO to target disease prevention and reduce health care costs.
METHODS: The prostate, lung, colorectal, and ovarian database were queried for the primary outcome of kidney cancer. Demographics were investigated, specifically focusing on modifiable risk factors. Statistical analysis includes the Student t-test for continuous variables, chi-squared or Fisher's exact tests for dichotomous and categorical variables for bivariate analysis. The Cox proportional hazards model was used in a multivariate time-to-event analysis.
RESULTS: We investigate existing data relating specifically to renal cancer. After missing data were excluded, we analyzed 149,683 subjects enrolled in the prostate, lung, colorectal, and ovarian trial and noted 0.5% (n = 748) subjects developed renal cancer. Age, male gender, body mass index, diabetes, and hypertension were all significant associated with renal cancer in bivariate analysis (P<0.05). Men have a significant increased risk of kidney cancer over women (hazard ratio [HR] = 1.85; 95% CI: 1.58-2.16; P<0.0001). Nonmodifiable risk factors that are associated with kidney cancer include age (HR = 1.05; 95% CI: 1.01; 1.05, P = 0.001). Modifiable risk factors include obesity measured by body mass index (HR = 1.05; 95% CI: 1.02-1.07; P<0.0001), hypertension (HR = 1.32; 95% CI: 1.13-1.54; P = 0.0004), and smoking in pack-years (HR = 1.04; 95% CI: 1.02-1.07; P = 0.0002).
CONCLUSIONS: Obesity, hypertension, and smoking are the 3 modifiable risk factors that could aggressively be targeted to reduce renal cell carcinoma. Published by Elsevier Inc.

Entities:  

Keywords:  Blood pressure; Body mass index; Hypertension; Kidney cancer; Lifestyle; Modifiable risk factors; Obesity; Prevention; Renal cancer; Renal cell cancer; Smoking

Mesh:

Year:  2018        PMID: 29779672     DOI: 10.1016/j.urolonc.2018.04.011

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  7 in total

1.  Association Between Diabetes and the Risk of Kidney Cancer: Systematic Review and Meta-Analysis.

Authors:  Andrés Bonilla-Sanchez; Jenny Rojas-Munoz; Herney Andrés Garcia-Perdomo
Journal:  Clin Diabetes       Date:  2022

Review 2.  Long Non-Coding RNAs as Novel Biomarkers in the Clinical Management of Papillary Renal Cell Carcinoma Patients: A Promise or a Pledge?

Authors:  Francesco Trevisani; Matteo Floris; Riccardo Vago; Roberto Minnei; Alessandra Cinque
Journal:  Cells       Date:  2022-05-17       Impact factor: 7.666

3.  Genetic variants in a long noncoding RNA related to Sunitinib Resistance predict risk and survival of patients with renal cell carcinoma.

Authors:  Qianwei Xing; Ran Li; Aiming Xu; Zhiqiang Qin; Jinyuan Tang; Lei Zhang; Min Tang; Peng Han; Wei Wang; Chao Qin; Mulong Du; Wei Zhang
Journal:  Cancer Med       Date:  2019-04-30       Impact factor: 4.452

4.  MicroRNA-501-3p inhibits the proliferation of kidney cancer cells by targeting WTAP.

Authors:  Liujia He; Shiming Chen; Yufan Ying; Haiyun Xie; Jiangfeng Li; Xueyou Ma; Weiyu Wang; Haixiang Shen; Xiao Wang; Xiangyi Zheng; Liping Xie
Journal:  Cancer Med       Date:  2021-09-30       Impact factor: 4.452

5.  Ampelopsin Inhibits Cell Viability and Metastasis in Renal Cell Carcinoma by Negatively Regulating the PI3K/AKT Signaling Pathway.

Authors:  Zhonghe Zhao; Yan Jiang; Zhongguo Liu; Qingyan Li; Tiantian Gao; Shengxia Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2021-11-11       Impact factor: 2.629

Review 6.  Gender-Related Approach to Kidney Cancer Management: Moving Forward.

Authors:  Mariangela Mancini; Marialaura Righetto; Giovannella Baggio
Journal:  Int J Mol Sci       Date:  2020-05-10       Impact factor: 5.923

7.  Hypertension and the Risk of All-Cause and Cause-Specific Mortality: An Outcome-Wide Association Study of 67 Causes of Death in the National Health Interview Survey.

Authors:  Dagfinn Aune; Wentao Huang; Jing Nie; Yafeng Wang
Journal:  Biomed Res Int       Date:  2021-07-12       Impact factor: 3.411

  7 in total

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