La technique du Tissue Micro-Array (TMA) permet d’inclure de nombreux tissus (cylindres biopsiques) dans un même bloc de paraffine. Elle permet ainsi d’étudier l’exploration ou la validation de biomarqueurs spécifiques, descriptifs (prévalence d’une anomalie, etc.), pronostiques ou prédictifs sur un grand nombre de tumeurs. Cette technique permet de faire une analyse à grande échelle des échantillons, elle permet un traitement uniforme de tous les prélèvements, une préservation du bloc donneur (bloc d’origine) et un gain...

Lifestyle-related phenotypes have been shown to be heritable and associated with DNA methylation. We aimed to investigate whether genetic predisposition to tobacco smoking, alcohol consumption, and higher body mass index (BMI) moderates the effect of these phenotypes on blood DNA methylation. We calculated polygenic scores (PGS) to quantify genetic predisposition to these phenotypes using training (N = 7,431) and validation (N = 4,307) samples. Using paired genetic-methylation data (N = 4,307), gene–environment interactions (i.e., PGS...

Additional file 2: Supplementary tables and figures. Figure S1. Pearson correlation between the 117 original metabolites. Figure S2. Sensitivity analyses of mutually adjusted ORs for the overall associations and cancer type-specific deviations. Figure S3. Sensitivity analysis of mutually adjusted ORs for the overall associations and cancer type-specific deviations with or without excluding hormone users. Figure S4. p-values of tests for departure from linearity and effect modification by BMI. Figure S5. ORs for the overall associations...

Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic...

Additional file 1: Supplementary material S1, S2, S3 and S4

Additional file 1. Supplementary material regarding (i) the definition of cancer cases for HCC, GBC, Adv.PrC and Loc.PrC; (ii) the definition and implementation of the data-shared lasso; (iii) the models used to derive point estimates and confidence intervals from the model selected by the data-shared lasso; and (iv) the univariate analysis conducted for comparison.

Mathematical models that integrate multi-scale physiological data can offer insight into physiological and pathophysiological function, and may eventually assist in individualized predictive medicine. We present a methodology for performing systematic analyses of multi-parameter interactions in such complex, multi-scale models. Human physiology models are often based on or inspired by Arthur Guyton’s whole-body circulatory regulation model. Despite the significance of this model, it has not been the subject of a systematic and comprehensive sensitivity study. Therefore,...

The success of cancer immunotherapy relies on the induction of an immunoprotective response targeting tumor antigens (TAs) presented on MHC-I molecules. We demonstrated that the splicing inhibitor isoginkgetin and its water-soluble and non-toxic derivative IP2 act at the production stage of the Pioneer Translation Products (PTPs). We showed that IP2 increases PTP-derived antigen presentation in cancer cells in vitro and impairs tumor growth in vivo. IP2 action is long-lasting and dependent on the CD8+ T...

Les succès obtenus par l’immunothérapie dans plusieurs types de tumeurs ont renouvelé l’intérêt pour l’étude de la réponse immune anti-tumorale et suscitent la recherche de nouveaux marqueurs pronostiques et prédictifs. L’immunohistochimie est une des principales approches utilisées pour répondre à ces questions. L’immuno-oncologie clinique a stimulé le développement de nouvelles techniques et de nouvelles stratégies, visant à fournir des informations multiparamétriques, quantitatives et fonctionnelles, en couplant une immunohistochimie de nouvelle génération avec des outils de...

Abstract Background Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. Methods We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested...

Additional file 1: Supplementary material S1, S2, S3 and S4

Lifestyle-related phenotypes have been shown to be heritable and associated with DNA methylation. We aimed to investigate whether genetic predisposition to tobacco smoking, alcohol consumption, and higher body mass index (BMI) moderates the effect of these phenotypes on blood DNA methylation. We calculated polygenic scores (PGS) to quantify genetic predisposition to these phenotypes using training (N = 7,431) and validation (N = 4,307) samples. Using paired genetic-methylation data (N = 4,307), gene–environment interactions (i.e., PGS...

Abstract Background This French nationwide NETSARC exhaustive prospective cohort aims to explore the impact of systematic re-excision (RE) as adjuvant care on overall survival (OS), local recurrence free survival (LRFS), and local and distant control (RFS) in patients with soft tissue sarcoma (STS) with positive microscopic margins (R1) after initial resection performed outside of a reference center. Methods Eligible patients had experienced STS surgery outside a reference center from 2010 to 2017, and had R1...

Additional file 1. Supplementary material regarding (i) the definition of cancer cases for HCC, GBC, Adv.PrC and Loc.PrC; (ii) the definition and implementation of the data-shared lasso; (iii) the models used to derive point estimates and confidence intervals from the model selected by the data-shared lasso; and (iv) the univariate analysis conducted for comparison.

Abstract Background Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. Methods We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested...

Additional file 2: Supplementary tables and figures. Figure S1. Pearson correlation between the 117 original metabolites. Figure S2. Sensitivity analyses of mutually adjusted ORs for the overall associations and cancer type-specific deviations. Figure S3. Sensitivity analysis of mutually adjusted ORs for the overall associations and cancer type-specific deviations with or without excluding hormone users. Figure S4. p-values of tests for departure from linearity and effect modification by BMI. Figure S5. ORs for the overall associations...

Abstract Background This French nationwide NETSARC exhaustive prospective cohort aims to explore the impact of systematic re-excision (RE) as adjuvant care on overall survival (OS), local recurrence free survival (LRFS), and local and distant control (RFS) in patients with soft tissue sarcoma (STS) with positive microscopic margins (R1) after initial resection performed outside of a reference center. Methods Eligible patients had experienced STS surgery outside a reference center from 2010 to 2017, and had R1...