Literature DB >> 29254934

Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention.

Somdat Mahabir1, Walter C Willett2, Christine M Friedenreich3, Gabriel Y Lai4, Carol J Boushey5, Charles E Matthews6, Rashmi Sinha6, Graham A Colditz7, Joseph A Rothwell8, Jill Reedy9, Alpa V Patel10, Michael F Leitzmann11, Gary E Fraser12, Sharon Ross13, Stephen D Hursting14, Christian C Abnet6, Lawrence H Kushi15, Philip R Taylor6, Ross L Prentice16.   

Abstract

Very large international and ethnic differences in cancer rates exist, are minimally explained by genetic factors, and show the huge potential for cancer prevention. A substantial portion of the differences in cancer rates can be explained by modifiable factors, and many important relationships have been documented between diet, physical activity, and obesity, and incidence of important cancers. Other related factors, such as the microbiome and the metabolome, are emerging as important intermediary components in cancer prevention. It is possible with the incorporation of newer technologies and studies including long follow-up and evaluation of effects across the life cycle, additional convincing results will be produced. However, several challenges exist for cancer researchers; for example, measurement of diet and physical activity, and lack of standardization of samples for microbiome collection, and validation of metabolomic studies. The United States National Cancer Institute convened the Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention Workshop on June 28-29, 2016, in Rockville, Maryland, during which the experts addressed the state of the science and areas of emphasis. This current paper reflects the state of the science and priorities for future research. Cancer Epidemiol Biomarkers Prev; 27(3); 233-44. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29254934      PMCID: PMC7992195          DOI: 10.1158/1055-9965.EPI-17-0509

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  113 in total

1.  Endogenous estrogen, testosterone and progesterone levels in relation to breast cancer risk.

Authors:  Susan E Hankinson; A Heather Eliassen
Journal:  J Steroid Biochem Mol Biol       Date:  2007-05-24       Impact factor: 4.292

2.  Microbiology. Fighting obesity with bacteria.

Authors:  Alan W Walker; Julian Parkhill
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

3.  Dealing with dietary measurement error in nutritional cohort studies.

Authors:  Laurence S Freedman; Arthur Schatzkin; Douglas Midthune; Victor Kipnis
Journal:  J Natl Cancer Inst       Date:  2011-06-08       Impact factor: 13.506

Review 4.  Epigenetic regulation and cancer (review).

Authors:  Q W Chen; X Y Zhu; Y Y Li; Z Q Meng
Journal:  Oncol Rep       Date:  2013-12-11       Impact factor: 3.906

Review 5.  Experimental evidence of dietary factors and hormone-dependent cancers.

Authors:  K K Carroll
Journal:  Cancer Res       Date:  1975-11       Impact factor: 12.701

Review 6.  Taking a metagenomic view of human nutrition.

Authors:  Rachel J Dutton; Peter J Turnbaugh
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2012-09       Impact factor: 4.294

Review 7.  Breast Cancer Research in the Nurses' Health Studies: Exposures Across the Life Course.

Authors:  Megan S Rice; A Heather Eliassen; Susan E Hankinson; Elizabeth B Lenart; Walter C Willett; Rulla M Tamimi
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

8.  Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.

Authors:  Erikka Loftfield; Emily Vogtmann; Joshua N Sampson; Steven C Moore; Heidi Nelson; Rob Knight; Nicholas Chia; Rashmi Sinha
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-19       Impact factor: 4.254

9.  Structure, function and diversity of the healthy human microbiome.

Authors: 
Journal:  Nature       Date:  2012-06-13       Impact factor: 49.962

Review 10.  Making sense of GWAS: using epigenomics and genome engineering to understand the functional relevance of SNPs in non-coding regions of the human genome.

Authors:  Yu Gyoung Tak; Peggy J Farnham
Journal:  Epigenetics Chromatin       Date:  2015-12-30       Impact factor: 4.954

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  5 in total

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Authors:  Tyler B Mason; Sydney G O'Connor; Susan M Schembre; Jimi Huh; Daniel Chu; Genevieve F Dunton
Journal:  Health Psychol       Date:  2019-03       Impact factor: 4.267

2.  Childhood obesity research at the NIH: Efforts, gaps, and opportunities.

Authors:  S Sonia Arteaga; Layla Esposito; Stavroula K Osganian; Charlotte A Pratt; Jill Reedy; Deborah Young-Hyman
Journal:  Transl Behav Med       Date:  2018-11-21       Impact factor: 3.046

3.  Application of blood concentration biomarkers in nutritional epidemiology: example of carotenoid and tocopherol intake in relation to chronic disease risk.

Authors:  Ross L Prentice; Mary Pettinger; Marian L Neuhouser; Lesley F Tinker; Ying Huang; Cheng Zheng; JoAnn E Manson; Yasmin Mossavar-Rahmani; Garnet L Anderson; Johanna W Lampe
Journal:  Am J Clin Nutr       Date:  2019-04-01       Impact factor: 7.045

4.  RESPONSE TO DISCUSSION OF 'NUTRITIONAL EPIDEMIOLOGY METHODS AND RELATED STATISTICAL CHALLENGES AND OPPORTUNITIES'.

Authors:  Ross L Prentice; Ying Huang
Journal:  Stat Theory Relat Fields       Date:  2018-07-11

5.  Novel Application of Nutritional Biomarkers From a Controlled Feeding Study and an Observational Study to Characterization of Dietary Patterns in Postmenopausal Women.

Authors:  Marian L Neuhouser; Mary Pettinger; Johanna W Lampe; Lesley F Tinker; Stephanie M George; Jill Reedy; Xiaoling Song; Bharat Thyagarajan; Shirley A Beresford; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2021-11-02       Impact factor: 4.897

  5 in total

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