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Cancer Epidemiology

Overview of attention for book
Cover of 'Cancer Epidemiology'

Table of Contents

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    Book Overview
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    Chapter 1 Environmental and Occupational Risk Factors for Lung Cancer
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    Chapter 2 Lifestyle, genes, and cancer.
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    Chapter 3 Energy balance, physical activity, and cancer risk.
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    Chapter 4 Genetic Epidemiology Studies in Hereditary Non-Polyposis Colorectal Cancer
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    Chapter 5 Parental Smoking and Childhood Leukemia
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    Chapter 6 Lung Cancer and Exposure to Metals: The Epidemiological Evidence
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    Chapter 7 Breast Cancer and the Role of Exercise in Women
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    Chapter 8 Energy intake, physical activity, energy balance, and cancer: epidemiologic evidence.
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    Chapter 9 Contribution of Alcohol and Tobacco Use in Gastrointestinal Cancer Development
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    Chapter 10 Role of Xenobiotic Metabolic Enzymes in Cancer Epidemiology
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    Chapter 11 Genetic Polymorphisms in the Transforming Growth Factor-β Signaling Pathways and Breast Cancer Risk and Survival
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    Chapter 12 Molecular Epidemiology of DNA Repair Genes in Bladder Cancer
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    Chapter 13 Breast Cancer Screening and Biomarkers
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    Chapter 14 Epidemiology of Brain Tumors
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    Chapter 15 Mammographic density: a heritable risk factor for breast cancer.
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    Chapter 16 Acquired risk factors for colorectal cancer.
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    Chapter 17 Cancer Epidemiology
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    Chapter 18 Determinants of Incidence of Primary Fallopian Tube Carcinoma (PFTC)
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    Chapter 19 The Changing Epidemiology of Lung Cancer
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    Chapter 20 Epidemiology of Ovarian Cancer
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    Chapter 21 Epidemiology, Pathology, and Genetics of Prostate Cancer Among African Americans Compared with Other Ethnicities
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    Chapter 22 Racial Differences in Clinical Outcome After Prostate Cancer Treatment
  24. Altmetric Badge
    Chapter 23 Epidemiology of stomach cancer.
Attention for Chapter 3: Energy balance, physical activity, and cancer risk.
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Chapter title
Energy balance, physical activity, and cancer risk.
Chapter number 3
Book title
Cancer Epidemiology
Published in
Methods in molecular biology, January 2009
DOI 10.1007/978-1-60327-492-0_3
Pubmed ID
Book ISBNs
978-1-60327-491-3, 978-1-60327-492-0
Authors

Alecia Malin Fair, Kara Montgomery

Editors

Mukesh Verma PhD

Abstract

This chapter posits that cancer is a complex and multifactorial process as demonstrated by the expression and production of key endocrine and steroid hormones that intermesh with lifestyle factors (physical activity, body size, and diet) in combination to heighten cancer risk. Excess weight has been associated with increased mortality from all cancers combined and for cancers of several specific sites. The prevalence of obesity has reached epidemic levels in many parts of the world; more than 1 billion adults are overweight with a body mass index (BMI) exceeding 25. Overweight and obesity are clinically defined indicators of a disease process characterized by the accumulation of body fat due to an excess of energy intake (nutritional intake) relative to energy expenditure (physical activity). When energy intake exceeds energy expenditure over a prolonged period of time, the result is a positive energy balance (PEB), which leads to the development of obesity. This physical state is ideal for intervention and can be modulated by changes in energy intake, expenditure, or both. Nutritional intake is a modifiable factor in the energy balance-cancer linkage primarily tested by caloric restriction studies in animals and the effect of energy availability. Restriction of calories by 10 to 40% has been shown to decrease cell proliferation, increasing apoptosis through anti-angiogenic processes. The potent anticancer effect of caloric restriction is clear, but caloric restriction alone is not generally considered to be a feasible strategy for cancer prevention in humans. Identification and development of preventive strategies that "mimic" the anticancer effects of low energy intake are desirable. The independent effect of energy intake on cancer risk has been difficult to estimate because body size and physical activity are strong determinants of total energy expenditure. The mechanisms that account for the inhibitory effects of physical activity on the carcinogenic process are reduction in fat stores, activity related changes in sex-hormone levels, altered immune function, effects in insulin and insulin-like growth factors, reduced free radical generation, and direct effect on the tumor. Epidemiologic evidence posits that the cascade of actions linking overweight and obesity to carcinogenesis are triggered by the endocrine and metabolic system. Perturbations to these systems result in the alterations in the levels of bioavailable growth factors, steroid hormones, and inflammatory markers. Elevated serum concentrations of insulin lead to a state of hyperinsulinemia. This physiological state causes a reduction in insulin-like growth factor-binding proteins and promotes the synthesis and biological activity of insulin-like growth factor (IGF)-I, which regulates cellular growth in response to available energy and nutrients from diet and body reserves. In vitro studies have clearly established that both insulin and IGF-I act as growth factors that promote cell proliferation and inhibit apoptosis. Insulin also affects on the synthesis and biological availability of the male and female sex steroids, including androgens, progesterone, and estrogens. Experimental and clinical evidence also indicates a central role of estrogens and progesterone in regulating cellular differentiation, proliferation, and apoptosis induction. Hyperinsulinemia is also associated with alterations in molecular systems such as endogenous hormones and adipokines that regulate inflammatory responses. Obesity-related dysregulation of adipokines has the ability to contribute to tumorigenesis and tumor invasion via metastatic potential. Given the substantial level of weight gain in industrialized countries in the last two decades, there is great interest in understanding all of the mechanisms by which obesity contributes to the carcinogenic process. Continued focus must be directed to understanding the various relationships between specific nutrients and dietary components and cancer cause and prevention. A reductionist approach is not sufficient for the basic biological mechanisms underlying the effect of diet and physical activity on cancer. The joint association between energy balance and cancer risk are hypothesized to share the same underlying mechanisms, the amplification of chemical mediators that modulate cancer risk depending on the responsiveness to those hormones to the target tissue of interest. Disentangling the connection between obesity, the insulin-IGF axis, endogenous hormones, inflammatory markers, and their molecular interaction is vital.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 4 4%
Germany 2 2%
Switzerland 1 1%
Mexico 1 1%
Sweden 1 1%
Spain 1 1%
Lebanon 1 1%
Unknown 89 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Master 16 16%
Student > Bachelor 15 15%
Student > Ph. D. Student 11 11%
Professor > Associate Professor 6 6%
Other 16 16%
Unknown 15 15%
Readers by discipline Count As %
Medicine and Dentistry 27 27%
Agricultural and Biological Sciences 23 23%
Biochemistry, Genetics and Molecular Biology 9 9%
Engineering 4 4%
Nursing and Health Professions 3 3%
Other 15 15%
Unknown 19 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 July 2013.
All research outputs
#7,411,203
of 22,659,164 outputs
Outputs from Methods in molecular biology
#2,295
of 13,019 outputs
Outputs of similar age
#48,718
of 168,698 outputs
Outputs of similar age from Methods in molecular biology
#59
of 157 outputs
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So far Altmetric has tracked 13,019 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% of its peers.
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