Literature DB >> 32655006

Inflammatory and Insulinemic Dietary Patterns: Influence on Circulating Biomarkers and Prostate Cancer Risk.

Desmond Aroke1, Edmund Folefac1,2, Ni Shi1,2, Qi Jin3, Steven K Clinton1,2,3, Fred K Tabung4,2,3,5.   

Abstract

Prostate cancer is common in countries with affluent dietary patterns and represents a heterogeneous collection of subtypes with varying behavior. Reductionist strategies focusing on individual nutrients or foods have not clearly defined risk factors. We have developed mechanisms-based dietary patterns focusing upon inflammation and chronic insulin hypersecretion, processes that are hypothesized to impact prostate carcinogenesis. In the Prostate, Lung, Colorectal, and Ovarian cancer cohort, we calculated the empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) scores from food frequency questionnaire data among 3,517 men and women who provided a blood sample at enrollment. We used these scores in multivariable-adjusted linear regression to validate EDIH and EDIP against relevant circulating biomarkers. In a separate sample of 49,317 men, we used multivariable-adjusted Cox regression to evaluate associations of EDIH and EDIP with prostate cancer (total and subtypes) risk. Participants consuming the most hyperinsulinemic diets (EDIH quintile 5) had significantly higher concentrations of C-peptide, insulin, c-reactive protein, TNFα-R2, and lower adiponectin, than those in quintile 1. Similarly, participants consuming the most proinflammatory diets had significantly higher concentrations of IL6, TNFα-R2, C-peptide, insulin, and lower adiponectin. Men consuming hyperinsulinemic diets were at higher total prostate cancer risk: HRquintile5vs1, 1.11; 95% confidence interval (CI), 1.01-1.23; P trend = 0.03, especially high-grade cancer: HRquintile5vs1, 1.18; 95% CI, 1.02-1.37; P trend = 0.06. The EDIP was not associated with prostate cancer risk. In summary, EDIH and EDIP predicted concentrations of known insulinemic and inflammatory biomarkers, and EDIH further predicted risk of future prostate cancer. Interventions to reduce the adverse role of hyperinsulinemic diets may be a means of prostate cancer prevention. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32655006      PMCID: PMC7541682          DOI: 10.1158/1940-6207.CAPR-20-0236

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  46 in total

1.  Prediagnostic serum levels of cytokines and other immune markers and risk of non-hodgkin lymphoma.

Authors:  Mark P Purdue; Qing Lan; Rachel Bagni; William G Hocking; Dalsu Baris; Douglas J Reding; Nathaniel Rothman
Journal:  Cancer Res       Date:  2011-06-01       Impact factor: 12.701

2.  Development and Validation of an Empirical Dietary Inflammatory Index.

Authors:  Fred K Tabung; Stephanie A Smith-Warner; Jorge E Chavarro; Kana Wu; Charles S Fuchs; Frank B Hu; Andrew T Chan; Walter C Willett; Edward L Giovannucci
Journal:  J Nutr       Date:  2016-06-29       Impact factor: 4.798

3.  Circulating levels of obesity-related markers and risk of renal cell carcinoma in the PLCO cancer screening trial.

Authors:  Linda M Liao; Jonathan N Hofmann; Eunyoung Cho; Michael N Pollak; Wong-Ho Chow; Mark P Purdue
Journal:  Cancer Causes Control       Date:  2017-05-08       Impact factor: 2.506

4.  Association between Dietary Inflammatory Index and the Risk of Prostate Cancer: A Meta-Analysis.

Authors:  Reza Mohseni; Soheil Abbasi; Fatemeh Mohseni; Fateme Rahimi; Shahab Alizadeh
Journal:  Nutr Cancer       Date:  2018-10-01       Impact factor: 2.900

5.  Association of prostate cancer risk with insulin, glucose, and anthropometry in the Baltimore longitudinal study of aging.

Authors:  J Slade Hubbard; Sabine Rohrmann; Patricia K Landis; E Jeffrey Metter; Denis C Muller; Reubin Andres; H Ballentine Carter; Elizabeth A Platz
Journal:  Urology       Date:  2004-02       Impact factor: 2.649

6.  Serum insulin, glucose, indices of insulin resistance, and risk of prostate cancer.

Authors:  Demetrius Albanes; Stephanie J Weinstein; Margaret E Wright; Satu Männistö; Paul J Limburg; Kirk Snyder; Jarmo Virtamo
Journal:  J Natl Cancer Inst       Date:  2009-08-21       Impact factor: 13.506

Review 7.  Obesity and inflammation: the effects of weight loss.

Authors:  L Kirsty Forsythe; Julie M W Wallace; M Barbara E Livingstone
Journal:  Nutr Res Rev       Date:  2008-12       Impact factor: 7.800

8.  10th World Research Congress of the European Association for Palliative Care (EAPC).

Authors: 
Journal:  Palliat Med       Date:  2018-05       Impact factor: 4.762

9.  Dietary Pattern and Risk of Multiple Myeloma in Two Large Prospective US Cohort Studies.

Authors:  Dong Hoon Lee; Teresa T Fung; Fred K Tabung; Graham A Colditz; Irene M Ghobrial; Bernard A Rosner; Edward L Giovannucci; Brenda M Birmann
Journal:  JNCI Cancer Spectr       Date:  2019-04-27

10.  Correlation between Prostatitis, Benign Prostatic Hyperplasia and Prostate Cancer: A systematic review and Meta-analysis.

Authors:  Lei Zhang; Yi Wang; Zhiqiang Qin; Xian Gao; Qianwei Xing; Ran Li; Wei Wang; Ninghong Song; Wei Zhang
Journal:  J Cancer       Date:  2020-01-01       Impact factor: 4.207

View more
  7 in total

1.  Postdiagnostic Inflammatory, Hyperinsulinemic, and Insulin-Resistant Diets and Lifestyles and the Risk of Prostate Cancer Progression and Mortality.

Authors:  Crystal S Langlais; Rebecca E Graff; Erin L Van Blarigan; Stacey A Kenfield; John Neuhaus; Fred K Tabung; Janet E Cowan; Jeanette M Broering; Peter Carroll; June M Chan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-09-02       Impact factor: 4.090

2.  Association Between the Children's Dietary Inflammatory Index (C-DII) and Markers of Inflammation and Oxidative Stress Among Children and Adolescents: NHANES 2015-2018.

Authors:  Chuang Zhang; Weirui Ren; Meng Li; Wenbo Wang; Chi Sun; Lin Liu; Yanbin Fang; Lin Liu; Xiaofeng Yang; Xiangjian Zhang; Suolin Li
Journal:  Front Nutr       Date:  2022-05-27

Review 3.  A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care.

Authors:  Alix G Sleight; Sylvia L Crowder; Jacek Skarbinski; Paul Coen; Nathan H Parker; Aasha I Hoogland; Brian D Gonzalez; Mary C Playdon; Steven Cole; Jennifer Ose; Yuichi Murayama; Erin M Siegel; Jane C Figueiredo; Heather S L Jim
Journal:  Cancers (Basel)       Date:  2022-04-14       Impact factor: 6.575

Review 4.  The Impact of Lifestyle on Prostate Cancer: A Road to the Discovery of New Biomarkers.

Authors:  Catarina Leitão; Bárbara Matos; Fátima Roque; Maria Teresa Herdeiro; Margarida Fardilha
Journal:  J Clin Med       Date:  2022-05-22       Impact factor: 4.964

5.  The relationship between inflammatory dietary pattern and incidence of periodontitis.

Authors:  Ahmed A Alhassani; Frank B Hu; Bernard A Rosner; Fred K Tabung; Walter C Willett; Kaumudi J Joshipura
Journal:  Br J Nutr       Date:  2021-01-08       Impact factor: 3.718

6.  Proinflammatory and Hyperinsulinemic Dietary Patterns Are Associated With Specific Profiles of Biomarkers Predictive of Chronic Inflammation, Glucose-Insulin Dysregulation, and Dyslipidemia in Postmenopausal Women.

Authors:  Ni Shi; Desmond Aroke; Qi Jin; Dong Hoon Lee; Hisham Hussan; Xuehong Zhang; JoAnn E Manson; Erin S LeBlanc; Ana Barac; Chrisa Arcan; Steven K Clinton; Edward L Giovannucci; Fred K Tabung
Journal:  Front Nutr       Date:  2021-09-20

Review 7.  Inflammation and Prostate Cancer: A Multidisciplinary Approach to Identifying Opportunities for Treatment and Prevention.

Authors:  Lanshan Huang; Melissa J LaBonte; Stephanie G Craig; Stephen P Finn; Emma H Allott
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.