scholarly journals Prevention of Cancer Through Lifestyle Changes

2004 ◽  
Vol 1 (3) ◽  
pp. 233-239 ◽  
Author(s):  
R. James Barnard

Cancer is the second leading cause of death in the USA and an abundance of evidence suggests that lifestyle factors including smoking, the typical high-fat, refined-sugar diet and physical inactivity account for the majority of cancer. This review focuses on diet and inactivity as major factors for cancer promotion by inducing insulin resistance and hyperinsulinemia. Elevated levels of serum insulin impact on the liver primarily, increasing the production of insulin-like growth factor I (IGF-I) while reducing the production of insulin-like growth factor binding protein 1 (IGFBP-1) resulting in stimulation of tumor cell growth and inhibition of apoptosis (programmed cell death). Adopting a diet low in fat and high in fiber-rich starch foods, which would also include an abundance of antioxidants, combined with regular aerobic exercise might control insulin resistance, reduce the resulting serum factors and thus reduce the risk for many different cancers commonly seen in the USA.

2006 ◽  
Vol 26 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Philip Hanlon ◽  
William Andrew Lorenz ◽  
Zhihong Shao ◽  
James M. Harper ◽  
Andrzej T. Galecki ◽  
...  

A previous analysis of serum insulin-like growth factor I (IGF-I) levels in a mouse population ( n = 961) derived from a cross of (BALB/cJ × C57BL/6J) F1 females and (C3H/HeJ × DBA/2J) F1 males documented quantitative trait loci (QTL) on chromosomes 1, 10, and 17. We employed a newly developed, random walk-based method to search for three- and four-way allelic combinations that might influence IGF-I levels through nonadditive (conditional or epistatic) interactions among 185 genotyped biallelic loci and with significance defined by experiment-wide permutation ( P < 0.05). We documented a three-locus combination in which an epistatic interaction between QTL on paternal-derived chromosomes 5 and 18 had an opposite effect on the phenotype based on the allele inherited at a third locus on maternal-derived chromosome 17. The search also revealed three four-locus combinations that influence IGF-I levels through nonadditive genetic interactions. In two cases, the four-allele combinations were associated with animals having high levels of IGF-I, and, in the third case, a four-allele combination was associated with animals having low IGF-I levels. The multiple-locus genome scan algorithm revealed new IGF-I QTL on chromosomes 2, 4, 5, 7, 8, and 12 that had not been detected in the single-locus genome search and showed that levels of this hormone can be regulated by complex, nonadditive interactions among multiple loci. The analysis method can detect multilocus interactions in a genome scan experiment and may provide new ways to explore the genetic architecture of complex physiological phenotypes.


2009 ◽  
Vol 94 (7) ◽  
pp. 2452-2458 ◽  
Author(s):  
Sven Gläser ◽  
Nele Friedrich ◽  
Ralf Ewert ◽  
Christoph Schäper ◽  
Matthias Nauck ◽  
...  

1995 ◽  
Vol 42 (6) ◽  
pp. 767-770 ◽  
Author(s):  
MICHIE KITANO ◽  
TAEKO SHIMIZU ◽  
YUKO YAMAZAKI ◽  
YOSHIE UMEZU ◽  
YUKIKO ARAKAWA ◽  
...  

2008 ◽  
Vol 48 ◽  
pp. S65-S66
Author(s):  
M. García-Fernández ◽  
J.E. Puche ◽  
G. Delgado ◽  
S. González-Barón ◽  
I. Castilla-Cortázar

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