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34 results on '"Lécuyer, Lucie"'

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1. The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria

2. Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

3. Inflammatory potential of the diet and association with risk of differentiated thyroid cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

4. Adapted dietary inflammatory index and differentiated thyroid carcinoma risk in two French population-based case–control studies

5. Prospective analysis of circulating metabolites and endometrial cancer risk

7. Untargeted plasma metabolomic profiles associated with overall diet in women from the SU.VI.MAX cohort

8. Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort

9. NMR metabolomic profiles associated with long-term risk of prostate cancer

10. Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

11. Oxylipin profiling identifies a mechanistic signature of metabolic syndrome: results from two independent cohorts

12. Adapted dietary inflammatory index and differentiated thyroid carcinoma risk in two French population-based case–control studies

13. Plasma Metabolomics for Discovery of Early Metabolic Markers of Prostate Cancer Based on Ultra-High-Performance Liquid Chromatography-High Resolution Mass Spectrometry

14. Diet-Related Metabolomic Signature of Long-Term Breast Cancer Risk Using Penalized Regression: An Exploratory Study in the SU.VI.MAX Cohort

15. Associations between untargeted plasma metabolomic signatures and gut microbiota composition in the Milieu Intérieur population of healthy adults.

16. Plasma Metabolomic Signatures Associated with Long-term Breast Cancer Risk in the SU.VI.MAX Prospective Cohort

17. NMR metabolomic signatures reveal predictive plasma metabolites associated with long-termrisk of developing breast cancer

18. Analysis method of omics data for metabolic interactions modeling in predictive carcinogenesis

19. NMR metabolomic signatures reveal predictive plasma metabolites associated with long-term risk of developing breast cancer

20. Antioxidant intake from diet and supplements and risk of digestive cancers in middle-aged adults: results from the prospective NutriNet-Santé cohort

21. Are self-reported unhealthy food choices associated with an increased risk of breast cancer? Prospective cohort study using the British Food Standards Agency nutrient profiling system

22. Modifications in dietary and alcohol intakes between before and after cancer diagnosis: Results from the prospective population-based NutriNet-Santé cohort

24. What Do People Know and Believe about Vitamin D?

25. Plasma metabolomic signatures associated with long-term breast cancer risk in the SU.VI.MAX prospective cohort

26. Plasma metabolomic signatures associated with long-term breast cancer risk in the SU.VI.MAX prospective cohort

27. Signatures métabolomiques associées à des profils alimentaires spécifiques dans la cohorte su.vi.max

28. NMR metabolomic signatures reveal predictive plasma metabolites associated with long-term risk of developing prostate cancer

29. NMR metabolomic signatures reveal predictive plasma metabolites associated with long-termrisk of developing breast cancer

30. Etude sur l’identification de biomarqueurs prédictifs du risque du cancer du sein par RMN métabolomique

31. Metabolomics applied to nutritional epidemiology to identify biomarkers of food intake in the framework of the Metabo-Breast cancer project, SU.VI.MAX cohort

32. Signatures métabolomiques par spectrométrie de masse et risque de cancer du sein

33. Metabolomics applied to nutritional epidemiology to identify biomarkers of food intake in the framework of the Metabo-Breast cancer project, SU.VI.MAX cohort

34. NMR metabolomic analysis of breast cancer risk in the SU.VI.MAX prospective cohort study

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