Dietary Inflammatory and Insulinemic Potentials, Plasma Metabolome and Risk of Colorectal Cancer
暂无分享,去创建一个
L. Liang | F. Hu | J. Meyerhardt | A. Joshi | E. Giovannucci | Xuehong Zhang | C. Clish | M. Song | S. Clinton | Jun Li | A. Eliassen | Jun Li | Ni Shi | O. Zeleznik | F. Tabung | J. Y. Jeon | D. H. Lee | Fenglei Wang | Qi Jin | A. Chan | Alaina M Bever | K. Wu | Mingyang Song | Liming Liang | Fenglei Wang | Kana Wu
[1] E. Rimm,et al. Optimal dietary patterns for prevention of chronic disease , 2023, Nature Medicine.
[2] E. Giovannucci,et al. Are exposure-disease relationships assessed in cohorts of health professionals generalizable?: a comparative analysis based on WCRF/AICR systematic literature reviews , 2022, Cancer Causes & Control.
[3] L. Liang,et al. Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes , 2022, Diabetologia.
[4] L. Liang,et al. Plasma Metabolite Profiles of Red Meat, Poultry, and Fish Consumption, and Their Associations with Colorectal Cancer Risk , 2022, Nutrients.
[5] T. Frayling,et al. Associations Between Glycemic Traits and Colorectal Cancer: A Mendelian Randomization Analysis , 2022, Journal of the National Cancer Institute.
[6] M. Schulze,et al. Prospective analysis of circulating metabolites and endometrial cancer risk , 2021, Gynecologic oncology.
[7] W. Willett,et al. Prospective Evaluation of Dietary and Lifestyle Pattern Indices with Risk of Colorectal Cancer in a Cohort of Younger Women. , 2021, Annals of oncology : official journal of the European Society for Medical Oncology.
[8] J. Manson,et al. Reproducibility and Validity of a Semi-quantitative Food Frequency Questionnaire in Men Assessed by Multiple Methods. , 2020, American journal of epidemiology.
[9] J. Meyerhardt,et al. Risk Factors and Incidence of Colorectal Cancer According to Major Molecular Subtypes , 2020, JNCI cancer spectrum.
[10] Jingqin Luo,et al. Sex differences in cancer mechanisms , 2020, Biology of Sex Differences.
[11] Daniel S. Hitchcock,et al. A prospective analysis of circulating plasma metabolites associated with ovarian cancer risk. , 2020, Cancer research.
[12] E. Giovannucci,et al. Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies , 2019, Nature Reviews Gastroenterology & Hepatology.
[13] James Y. Dai,et al. Mendelian randomization analysis of C-reactive protein on colorectal cancer risk. , 2018, International journal of epidemiology.
[14] Yan Shi,et al. Diets That Promote Colon Inflammation Associate With Risk of Colorectal Carcinomas That Contain Fusobacterium nucleatum , 2018, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.
[15] F. Hu,et al. Association of dietary insulinemic potential and colorectal cancer risk in men and women. , 2018, The American journal of clinical nutrition.
[16] E. Rimm,et al. Relative Validity of Nutrient Intakes Assessed by Questionnaire, 24‐Hour Recalls, and Diet Records as Compared With Urinary Recovery and Plasma Concentration Biomarkers: Findings for Women , 2018, American journal of epidemiology.
[17] L. Liang,et al. An Empirical Dietary Inflammatory Pattern Score Is Associated with Circulating Inflammatory Biomarkers in a Multi-Ethnic Population of Postmenopausal Women in the United States. , 2018, The Journal of nutrition.
[18] F. Hu,et al. Association of Dietary Inflammatory Potential With Colorectal Cancer Risk in Men and Women , 2018, JAMA oncology.
[19] J. Manson,et al. Metabolic Predictors of Incident Coronary Heart Disease in Women , 2018, Circulation.
[20] David A. Drew,et al. Association Between Inflammatory Diet Pattern and Risk of Colorectal Carcinoma Subtypes Classified by Immune Responses to Tumor. , 2017, Gastroenterology.
[21] R. Vasan,et al. Dimethylguanidino valeric acid is a marker of liver fat and predicts diabetes , 2017, The Journal of clinical investigation.
[22] Fred K Tabung,et al. Dietary Patterns and Colorectal Cancer Risk: a Review of 17 Years of Evidence (2000–2016) , 2017, Current Colorectal Cancer Reports.
[23] W. Willett,et al. An Empirical Dietary Inflammatory Pattern Score Enhances Prediction of Circulating Inflammatory Biomarkers in Adults. , 2017, The Journal of nutrition.
[24] E. Rimm,et al. Validity of a Dietary Questionnaire Assessed by Comparison With Multiple Weighed Dietary Records or 24-Hour Recalls , 2017, American journal of epidemiology.
[25] W. Willett,et al. Development and validation of empirical indices to assess the insulinaemic potential of diet and lifestyle , 2016, British Journal of Nutrition.
[26] W. Willett,et al. Development and Validation of an Empirical Dietary Inflammatory Index. , 2016, The Journal of nutrition.
[27] Caroline H. Johnson,et al. Metabolomics: beyond biomarkers and towards mechanisms , 2016, Nature Reviews Molecular Cell Biology.
[28] N. Rifai,et al. Interleukin-6 and risk of colorectal cancer: results from the CLUE II cohort and a meta-analysis of prospective studies , 2015, Cancer Causes & Control.
[29] Xuri Li,et al. Circulating interleukin-6 and cancer: A meta-analysis using Mendelian randomization , 2015, Scientific Reports.
[30] C. Clish,et al. Metabolic control of type 1 regulatory T cell differentiation by AHR and HIF1-α , 2015, Nature Medicine.
[31] J. Murabito,et al. Distinct Metabolomic Signatures Are Associated with Longevity in Humans , 2015, Nature Communications.
[32] Carol J Boushey,et al. The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance. , 2015, The Journal of nutrition.
[33] Yurii B. Shvetsov,et al. Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project. , 2015, The American journal of clinical nutrition.
[34] Tao Xi,et al. C-reactive protein, interleukin-6 and the risk of colorectal cancer: a meta-analysis , 2014, Cancer Causes & Control.
[35] P. Li,et al. Circulating C-peptide level is a predictive factor for colorectal neoplasia: evidence from the meta-analysis of prospective studies , 2013, Cancer Causes & Control.
[36] T. Fung,et al. Dietary Patterns and the Risk of Colorectal Cancer , 2013, Current Nutrition Reports.
[37] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[38] T. Erlinger,et al. C‐reactive protein and colorectal cancer risk: A systematic review of prospective studies , 2008, International journal of cancer.
[39] O. Herbarth,et al. Modified nucleosides: an accurate tumour marker for clinical diagnosis of cancer, early detection and therapy control , 2006, British Journal of Cancer.
[40] M. Zheng,et al. Normal and modified urinary nucleosides represent novel biomarkers for colorectal cancer diagnosis and surgery monitoring , 2005, Journal of gastroenterology and hepatology.
[41] Jing Ma,et al. Inflammatory markers and the risk of coronary heart disease in men and women. , 2004, The New England journal of medicine.
[42] D Spiegelman,et al. Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. , 1999, American journal of epidemiology.
[43] D Feskanich,et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. , 1999, The American journal of clinical nutrition.
[44] J. Manson,et al. The Nurses' Health Study: 20-year contribution to the understanding of health among women. , 1997, Journal of women's health.
[45] G A Colditz,et al. Alcohol, height, and adiposity in relation to estrogen and prolactin levels in postmenopausal women. , 1995, Journal of the National Cancer Institute.
[46] D Feskanich,et al. Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. , 1993, Journal of the American Dietetic Association.
[47] G A Colditz,et al. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. , 1992, American journal of epidemiology.
[48] E. Rimm,et al. Prospective study of alcohol consumption and risk of coronary disease in men , 1991, The Lancet.
[49] C. Chute,et al. Effect of transport conditions on the stability of biochemical markers in blood. , 1989, Clinical chemistry.
[50] W. Willett,et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. , 1985, American journal of epidemiology.
[51] A. Jemal,et al. Cancer statistics, 2019 , 2019, CA: a cancer journal for clinicians.
[52] F. Hu,et al. Metabolomics-Based Dietary Biomarkers in Nutritional Epidemiology-Current Status and Future Opportunities. , 2018, Molecular nutrition & food research.
[53] F. Hu,et al. Use of Metabolomics in Improving Assessment of Dietary Intake. , 2018, Clinical chemistry.
[54] Hanseul Kim,et al. Sex differences in the association of obesity and colorectal cancer risk , 2016, Cancer Causes & Control.
[55] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.