Additional file 2 of Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
Creators: name: Breeur, Marie
name: Ferrari, Pietro
name: Dossus, Laure
name: Jenab, Mazda
name: Johansson, Mattias
name: Rinaldi, Sabina
name: Travis, Ruth C.
name: His, Mathilde
name: Key, Tim J.
name: Schmidt, Julie A.
name: Overvad, Kim
name: Tjønneland, Anne
name: Kyrø, Cecilie
name: Rothwell, Joseph A.
name: Laouali, Nasser
name: Severi, Gianluca
name: Kaaks, Rudolf
name: Katzke, Verena
name: Schulze, Matthias B.
name: Eichelmann, Fabian
name: Palli, Domenico
name: Grioni, Sara
name: Panico, Salvatore
name: Tumino, Rosario
name: Sacerdote, Carlotta
name: Bueno-de-Mesquita, Bas
name: Olsen, Karina Standahl
name: Sandanger, Torkjel Manning
name: Nøst, Therese Haugdahl
name: Quirós, J. Ramón
name: Bonet, Catalina
name: Barranco, Miguel Rodríguez
name: Chirlaque, María-Dolores
name: Ardanaz, Eva
name: Sandsveden, Malte
name: Manjer, Jonas
name: Vidman, Linda
name: Rentoft, Matilda
name: Muller, David
name: Tsilidis, Kostas
name: Heath, Alicia K.
name: Keun, Hector
name: Adamski, Jerzy
name: Keski-Rahkonen, Pekka
name: Scalbert, Augustin
name: Gunter, Marc J.
name: Viallon, Vivian
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Science Policy
subject: Plant Biology

description: 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 identified by the data-shared lasso with (i) the original model (ii) the extended type-specific model. Figure S6. Results from the univariate analyses. Figure S7. Comparison of the associations identified by the data-shared lasso when working with the 50 features (as in our main analysis) or with the original 117 metabolites. Figure S8. Pearson correlation between the 50 clusters. Figure S9. Pearson correlation between the 19 features related to at least one cancer site in our main analysis. Table S1. list of the 117 metabolites studied in the main analysis, and of the 16 additional metabolites studied when excluding the second colorectal study. Table S2. Robustness of the associations identified in the main analysis when including all the pairs from the prostate cancer study. Table S3. Other associations identified in a large proportion of bootstrap samples when including all the pairs from the prostate cancer study.