Metabolic signatures of greater body size and their associations with risk of colorectal and endometrial cancers in the European Prospective Investigation into Cancer and Nutrition
暂无分享,去创建一个
M. Schulze | V. Viallon | A. Tjønneland | M. Gunter | J. Halkjær | M. Johansson | R. Kaaks | N. Murphy | S. Panico | M. Jenab | H. Keun | A. Scalbert | R. Beeken | R. Fortner | K. Tsilidis | B. Bueno-de-Mesquita | N. Kliemann | G. Masala | R. Travis | P. Ferrari | C. Agnoli | N. Assi | L. Dossus | Julie A. Schmidt | H. Sartor | J. Huerta | J. Rothwell | S. Rinaldi | A. Rosendahl | B. van Guelpen | D. Achaintre | K. Aleksandrova | K. B. Borch | E. V. van Roekel | A. Heath | Audrey Gicquiau | P. Ferrari | David Achaintre | S. Rinaldi | Nada Assi
[1] W. Ahrens,et al. Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention , 2020, Current Obesity Reports.
[2] M. Guida,et al. Metabolomics in endometrial cancer diagnosis: a systematic review. , 2020, Acta obstetricia et gynecologica Scandinavica.
[3] V. Viallon,et al. Prospective analysis of circulating metabolites and breast cancer in EPIC , 2019, BMC Medicine.
[4] M. A. Siddik,et al. Recent Progress on Branched-Chain Amino Acids in Obesity, Diabetes, and Beyond , 2019, Endocrinology and metabolism.
[5] Á. Gil,et al. Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies , 2019, Metabolomics.
[6] S. Ab-Rahim,et al. Global serum metabolomics profiling of colorectal cancer , 2019, Molecular and clinical oncology.
[7] M. Laakso,et al. Nine Amino Acids Are Associated With Decreased Insulin Secretion and Elevated Glucose Levels in a 7.4-Year Follow-up Study of 5,181 Finnish Men , 2019, Diabetes.
[8] M. Gunter,et al. Adiposity and gastrointestinal cancers: epidemiology, mechanisms and future directions , 2018, Nature Reviews Gastroenterology & Hepatology.
[9] L. Ferrucci,et al. Altered Plasma Amino Acids and Lipids Associated With Abnormal Glucose Metabolism and Insulin Resistance in Older Adults , 2018, The Journal of clinical endocrinology and metabolism.
[10] M. Ezzati,et al. Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment , 2018, The lancet. Diabetes & endocrinology.
[11] V. Viallon,et al. Are Metabolic Signatures Mediating the Relationship between Lifestyle Factors and Hepatocellular Carcinoma Risk? Results from a Nested Case–Control Study in EPIC , 2018, Cancer Epidemiology, Biomarkers & Prevention.
[12] J. Troisi,et al. Metabolomic Signature of Endometrial Cancer. , 2018, Journal of proteome research.
[13] L. Galluzzi,et al. Mitochondrial metabolism and cancer , 2017, Cell Research.
[14] J. Wardle,et al. The Impact of Diet‐Induced Weight Loss on Biomarkers for Colorectal Cancer: An Exploratory Study (INTERCEPT) , 2017, Obesity.
[15] Mimi Y. Kim,et al. Metabolic Obesity Phenotypes and Risk of Breast Cancer in Postmenopausal Women , 2017, Cancer Epidemiology, Biomarkers & Prevention.
[16] P. Vineis,et al. Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort. , 2017, Journal of proteome research.
[17] David M. Sabatini,et al. mTOR Signaling in Growth, Metabolism, and Disease , 2017, Cell.
[18] D. Sabatini,et al. mTOR Signaling in Growth, Metabolism, and Disease , 2017, Cell.
[19] M. Hendryx,et al. Metabolic Phenotype and Risk of Colorectal Cancer in Normal-Weight Postmenopausal Women , 2017, Cancer Epidemiology, Biomarkers & Prevention.
[20] F. Tinahones,et al. Metabolomics‐guided insights on bariatric surgery versus behavioral interventions for weight loss , 2016, Obesity.
[21] F. Tinahones,et al. Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes. , 2016, Clinica chimica acta; international journal of clinical chemistry.
[22] Farshad Farshidfar,et al. A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics , 2016, British Journal of Cancer.
[23] K. Straif,et al. Body Fatness and Cancer--Viewpoint of the IARC Working Group. , 2016, The New England journal of medicine.
[24] T. Pischon,et al. Associations of anthropometric markers with serum metabolites using a targeted metabolomics approach: results of the EPIC-potsdam study , 2016, Nutrition & Diabetes.
[25] L. Brennan,et al. Metabolomics as a tool in the identification of dietary biomarkers , 2016, Proceedings of the Nutrition Society.
[26] E. Riboli,et al. A Nested Case–Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) , 2016, PLoS medicine.
[27] H. Boeing,et al. Higher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics study , 2016, BMC Medicine.
[28] Adrian V. Hernández,et al. Insulin resistance and endometrial cancer risk: A systematic review and meta-analysis. , 2015, European journal of cancer.
[29] Paolo Vineis,et al. A statistical framework to model the meeting-in-the-middle principle using metabolomic data: application to hepatocellular carcinoma in the EPIC study. , 2015, Mutagenesis.
[30] N. Mode,et al. Validity of self-reported body mass index among middle-aged participants in the Norwegian Women and Cancer study , 2015, Clinical epidemiology.
[31] Eun-Kyoung Kim,et al. A Metabolomic Approach to Understanding the Metabolic Link between Obesity and Diabetes , 2015, Molecules and cells.
[32] Thiago I. B. Lopes,et al. Blood Metabolome Changes Before and After Bariatric Surgery: A (1)H NMR-Based Clinical Investigation. , 2015, Omics : a journal of integrative biology.
[33] T. Rohan,et al. Breast cancer risk in metabolically healthy but overweight postmenopausal women. , 2015, Cancer research.
[34] M. Singer,et al. Metabolic Health Reduces Risk of Obesity-Related Cancer in Framingham Study Adults , 2014, Cancer Epidemiology, Biomarkers & Prevention.
[35] E. Riboli,et al. Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method , 2014, Metabolomics.
[36] F. Clavel-Chapelon,et al. Circulating biomarkers of tryptophan and the kynurenine pathway and lung cancer risk. , 2014, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[37] A. Peters,et al. Identification of Serum Metabolites Associated With Risk of Type 2 Diabetes Using a Targeted Metabolomic Approach , 2013, Diabetes.
[38] Bryan C. Batch,et al. Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss , 2012, Diabetologia.
[39] J. Fechner,et al. An Interaction between Kynurenine and the Aryl Hydrocarbon Receptor Can Generate Regulatory T Cells , 2010, The Journal of Immunology.
[40] J. H. Lee,et al. Metabolic profiling of plasma in overweight/obese and lean men using ultra performance liquid chromatography and Q-TOF mass spectrometry (UPLC-Q-TOF MS). , 2010, Journal of proteome research.
[41] F. Clavel-Chapelon,et al. Serum C‐peptide, IGFBP‐1 and IGFBP‐2 and risk of colon and rectal cancers in the European Prospective Investigation into Cancer and Nutrition , 2007, International journal of cancer.
[42] Li Li,et al. Plasma lysophosphatidylcholine levels: potential biomarkers for colorectal cancer. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[43] Ying Zhang,et al. HMDB: the Human Metabolome Database , 2007, Nucleic Acids Res..
[44] C. Friedenreich,et al. Body size and risk of colon and rectal cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC). , 2006, Journal of the National Cancer Institute.
[45] Morihiro Matsuda,et al. Increased oxidative stress in obesity and its impact on metabolic syndrome. , 2004, The Journal of clinical investigation.
[46] C. González,et al. The European Prospective Investigation into Cancer and Nutrition (EPIC) , 2004, Public Health Nutrition.
[47] I. Gram,et al. Fruits and vegetables and lung cancer: Findings from the European prospective investigation into cancer and nutrition , 2004, International journal of cancer.
[48] E. Gabazza,et al. Oxidative stress is associated with adiposity and insulin resistance in men. , 2003, The Journal of clinical endocrinology and metabolism.
[49] Jo Mitchell,et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study , 2003, Public Health Nutrition.
[50] F. Clavel-Chapelon,et al. European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics , 2002, Public Health Nutrition.
[51] N E Day,et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection , 2002, Public Health Nutrition.
[52] T. Key,et al. Validity of self-reported height and weight in 4808 EPIC–Oxford participants , 2002, Public Health Nutrition.
[53] H. Boeing,et al. Follow-Up Procedures in EPIC-Germany – Data Quality Aspects , 1999, Annals of Nutrition and Metabolism.
[54] C. O’Flanagan,et al. Molecular and metabolic mechanisms underlying the obesity-cancer link , 2018 .
[55] H. Boeing,et al. [The importance of the common cancer registry for the identification of cancer cases in the EPIC Potsdam-study -- results of the first record linkage]. , 2004, Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)).
[56] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[57] H Boeing,et al. Interviewer variability in anthropometric measurements and estimates of body composition. , 1997, International journal of epidemiology.
[58] M. Ocké. European prospective investigation into cancer and nutrition. Voedingsnavraag in de EPIC studie. , 1996 .