Publications by authors named "V Viallon"
Background: Higher concentration of insulin-like growth factor-1 (IGF-1) increases postmenopausal breast cancer risk, but evidence for insulin and c-peptide is limited. Further, not all studies have accounted for potential confounding by biomarkers from other biological pathways, and not all were restricted to estrogen receptor (ER)-positive breast cancer.
Methods: This was a case-cohort study of 1,223 postmenopausal women (347 with ER-positive breast cancer) from the Melbourne Collaborative Cohort Study.
Article Synopsis
- Previous models for predicting weight gain haven't been very effective, leading researchers to explore both traditional environmental factors and genetic markers to enhance accuracy.* -
- A study involving nearly 246,000 participants found that environmental factors provided good predictive ability for weight gain, while genetic models performed poorly, especially at mid-late adulthood.* -
- The research suggests that environmental factors should be incorporated into prevention strategies, and that genetic factors may be more relevant in predicting weight gain earlier in life.*
Unlabelled: Recent epidemiological studies have suggested a positive association between ultra-processed food consumption and breast cancer risk, although some studies also reported no association. Furthermore, the evidence regarding the associations between intake of food with lower degrees of processing and breast cancer risk is limited. Thus, we investigated the associations between dietary intake by degree of food processing and breast cancer risk, overall and by breast cancer subtypes in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
View Article and Find Full Text PDFBackground: Inflammation and immune dysregulation are hypothesized contributors to endometrial carcinogenesis; however, the precise underlying mechanisms remain unclear.
Methods: We measured pre-diagnostically 152 plasma protein biomarkers in 624 endometrial cancer case-control pairs nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Odds ratios (ORs) were estimated using conditional logistic regression, accounting for confounding and multiple comparisons.
Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank.
BMC Med
August 2024
Article Synopsis
- The study aimed to compare traditional and novel body shape indexes (like ABSI and HI) regarding their associations with inflammation markers, particularly C-reactive protein (CRP), using data from the EPIC and UK Biobank cohorts.
- Participants included nearly 444,000 individuals, with the analysis involving various body shape phenotypes derived from measurements such as height and weight.
- Results indicated that traditional measures like BMI and waist circumference were positively linked to CRP levels, while some body phenotypes showed varying associations by sex, highlighting the complexity of body shape and inflammation relationships.