Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models

The worldwide prevalence of obesity has doubled during the last 50 years, and according to the World Obesity Federation, one third of the people on Earth will be obese by the year 2025. Obesity is described as a chronic, relapsing and multifactorial disease that causes metabolic, biomechanical, and...

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Main Authors: Yang Xin Zi Xu, Suresh Mishra
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/10/12/523
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spelling doaj-77fe9e8135dd40da8b92c1fb2b9e0ca42020-11-24T21:09:01ZengMDPI AGCancers2072-66942018-12-01101252310.3390/cancers10120523cancers10120523Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent ModelsYang Xin Zi Xu0Suresh Mishra1Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, CanadaDepartment of Physiology and Pathophysiology, Rady Faculty of Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB R3E 3P4, CanadaThe worldwide prevalence of obesity has doubled during the last 50 years, and according to the World Obesity Federation, one third of the people on Earth will be obese by the year 2025. Obesity is described as a chronic, relapsing and multifactorial disease that causes metabolic, biomechanical, and psychosocial health consequences. Growing evidence suggests that obesity is a risk factor for multiple cancer types and rivals smoking as the leading preventable cause for cancer incidence and mortality. The epidemic of obesity will likely generate a new wave of obesity-related cancers with high aggressiveness and shortened latency. Observational studies have shown that from cancer risk to disease prognosis, an individual with obesity is consistently ranked worse compared to their lean counterpart. Mechanistic studies identified similar sets of abnormalities under obesity that may lead to cancer development, including ectopic fat storage, altered adipokine profiles, hormone fluctuations and meta-inflammation, but could not explain how these common mechanisms produce over 13 different cancer types. A major hurdle in the mechanistic underpinning of obesity-related cancer is the lack of suitable pre-clinical models that spontaneously develop obesity-linked cancers like humans. Current approaches and animal models fall short when discerning the confounders that often coexist in obesity. In this mini-review, we will briefly survey advances in the different obesity-linked cancers and discuss the challenges and limitations in the rodent models employed to study their relationship. We will also provide our perspectives on the future of obesity-linked cancer research.https://www.mdpi.com/2072-6694/10/12/523adipose tissueinsulin resistancemeta-inflammationobesity-linked cancer modelshyperinsulinemiaadipose-immune crosstalk
collection DOAJ
language English
format Article
sources DOAJ
author Yang Xin Zi Xu
Suresh Mishra
spellingShingle Yang Xin Zi Xu
Suresh Mishra
Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
Cancers
adipose tissue
insulin resistance
meta-inflammation
obesity-linked cancer models
hyperinsulinemia
adipose-immune crosstalk
author_facet Yang Xin Zi Xu
Suresh Mishra
author_sort Yang Xin Zi Xu
title Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
title_short Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
title_full Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
title_fullStr Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
title_full_unstemmed Obesity-Linked Cancers: Current Knowledge, Challenges and Limitations in Mechanistic Studies and Rodent Models
title_sort obesity-linked cancers: current knowledge, challenges and limitations in mechanistic studies and rodent models
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2018-12-01
description The worldwide prevalence of obesity has doubled during the last 50 years, and according to the World Obesity Federation, one third of the people on Earth will be obese by the year 2025. Obesity is described as a chronic, relapsing and multifactorial disease that causes metabolic, biomechanical, and psychosocial health consequences. Growing evidence suggests that obesity is a risk factor for multiple cancer types and rivals smoking as the leading preventable cause for cancer incidence and mortality. The epidemic of obesity will likely generate a new wave of obesity-related cancers with high aggressiveness and shortened latency. Observational studies have shown that from cancer risk to disease prognosis, an individual with obesity is consistently ranked worse compared to their lean counterpart. Mechanistic studies identified similar sets of abnormalities under obesity that may lead to cancer development, including ectopic fat storage, altered adipokine profiles, hormone fluctuations and meta-inflammation, but could not explain how these common mechanisms produce over 13 different cancer types. A major hurdle in the mechanistic underpinning of obesity-related cancer is the lack of suitable pre-clinical models that spontaneously develop obesity-linked cancers like humans. Current approaches and animal models fall short when discerning the confounders that often coexist in obesity. In this mini-review, we will briefly survey advances in the different obesity-linked cancers and discuss the challenges and limitations in the rodent models employed to study their relationship. We will also provide our perspectives on the future of obesity-linked cancer research.
topic adipose tissue
insulin resistance
meta-inflammation
obesity-linked cancer models
hyperinsulinemia
adipose-immune crosstalk
url https://www.mdpi.com/2072-6694/10/12/523
work_keys_str_mv AT yangxinzixu obesitylinkedcancerscurrentknowledgechallengesandlimitationsinmechanisticstudiesandrodentmodels
AT sureshmishra obesitylinkedcancerscurrentknowledgechallengesandlimitationsinmechanisticstudiesandrodentmodels
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