期刊论文详细信息
World Journal of Surgical Oncology
Metabolic syndrome and renal cell carcinoma
Review
Ding-Wei Ye1  Gui-Ming Zhang2  Yao Zhu2 
[1] Department of Urology, Fudan University Shanghai Cancer Center, No. 270, Dongan Rd, 200032, Shanghai, China;Department of Urology, Fudan University Shanghai Cancer Center, No. 270, Dongan Rd, 200032, Shanghai, China;Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China;
关键词: Metabolic syndrome;    Renal cell carcinoma;    Insulin resistance;    Mechanism;   
DOI  :  10.1186/1477-7819-12-236
 received in 2013-10-27, accepted in 2014-07-20,  发布年份 2014
来源: Springer
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【 摘 要 】

BackgroundMetabolic syndrome (MS) is a cluster of metabolic abnormalities, which has been regarded as a pivotal risk factor for cardiovascular diseases. Recent studies focusing on the relationship between MS and cancer have recognized the significant role of MS on carcinogenesis. Likewise, growing evidence suggests that MS has a strong association with increased renal cell carcinoma (RCC) risk. This review outlines the link between MS and RCC, and some underlying mechanisms responsible for MS-associated RCC.Materials and methodsA National Center for Biotechnology Information PubMed search (http://www.pubmed.gov) was conducted using medical subject headings ‘metabolic syndrome’, ‘obesity’, ‘hypertension’, ‘diabetes’, ‘dyslipidemia’, and ‘renal cell carcinoma’.ResultsThis revealed that a variety of molecular mechanisms secondary to MS are involved in RCC formation, progression, and metastasis. A deeper understanding of these molecular mechanisms may provide some strategies for the prevention and treatment of RCC.ConclusionsIn summary, there is a large body of evidence regarding the link between MS and RCC, within which each component of MS is considered to have a close causal association with RCC.

【 授权许可】

Unknown   
© Zhang et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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