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2. Optimal transport for automatic alignment of untargeted metabolomic data

Author

Breeur, Marie, Stepaniants, George, Keski-Rahkonen, Pekka, Rigollet, Philippe, and Viallon, Vivian

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, 49Q22, 92C40, G.3, J.3
Abstract

Untargeted metabolomic profiling through liquid chromatography-mass spectrometry (LC-MS) measures a vast array of metabolites within biospecimens, advancing drug development, disease diagnosis, and risk prediction. However, the low throughput of LC-MS poses a major challenge for biomarker discovery, annotation, and experimental comparison, necessitating the merging of multiple datasets. Current data pooling methods encounter practical limitations due to their vulnerability to data variations and hyperparameter dependence. Here we introduce GromovMatcher, a flexible and user-friendly algorithm that automatically combines LC-MS datasets using optimal transport. By capitalizing on feature intensity correlation structures, GromovMatcher delivers superior alignment accuracy and robustness compared to existing approaches. This algorithm scales to thousands of features requiring minimal hyperparameter tuning. Manually curated datasets for validating alignment algorithms are limited in the field of untargeted metabolomics, and hence we develop a dataset split procedure to generate pairs of validation datasets to test the alignments produced by GromovMatcher and other methods. Applying our method to experimental patient studies of liver and pancreatic cancer, we discover shared metabolic features related to patient alcohol intake, demonstrating how GromovMatcher facilitates the search for biomarkers associated with lifestyle risk factors linked to several cancer types., Comment: 47 pages, 16 figures

Published
2023

3. Degree of food processing and breast cancer risk: a prospective study in 9 European countries

Author

Cairat, Manon, Yammine, Sahar, Fiolet, Thibault, Fournier, Agnès, Boutron-Ruault, Marie-Christine, Laouali, Nasser, Mancini, Francesca Romana, Severi, Gianluca, Berstein, Fernanda Morales, Rauber, Fernanda, Levy, Renata Bertazzi, Skeie, Guri, Borch, Kristin Benjaminsen, Tjønneland, Anne, Mellemkjær, Lene, Borné, Yan, Rosendahl, Ann H., Masala, Giovanna, Giraudo, Maria Teresa, de Magistris, Maria Santucci, Katzke, Verena, Bajracharya, Rashmita, Santiuste, Carmen, Amiano, Pilar, Bodén, Stina, Castro-Espin, Carlota, Sánchez, Maria-Jose, Touvier, Mathilde, Deschasaux-Tanguy, Mélanie, Srour, Bernard, Schulze, Matthias B., Guevara, Marcela, Kliemann, Nathalie, Lopez, Jessica Blanco, Al Nahas, Aline, Chang, Kiara, Vamos, Eszter P., Millett, Christopher, Riboli, Elio, Heath, Alicia K., Biessy, Carine, Viallon, Vivian, Casagrande, Corinne, Nicolas, Genevieve, Gunter, Marc J., and Huybrechts, Inge

Published
2024
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4. 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

Author

González-Gil, Esther M., Peruchet-Noray, Laia, Sedlmeier, Anja M., Christakoudi, Sofia, Biessy, Carine, Navionis, Anne-Sophie, Mahamat-Saleh, Yahya, Jaafar, Rola F., Baurecht, Hansjörg, Guevara, Marcela, Etxezarreta, Pilar Amiano, Verschuren, W. M. Monique, Boer, Jolanda M. A., Olsen, Anja, Tjønneland, Anne, Simeon, Vittorio, Castro-Espin, Carlota, Aune, Dagfinn, Heath, Alicia K., Gunter, Marc, Colorado-Yohar, Sandra M., Zilhão, Nuno R., Dahm, Christina C., Llanaj, Erand, Schulze, Matthias B., Petrova, Dafina, Sieri, Sabina, Ricceri, Fulvio, Masala, Giovanna, Key, Tim, Viallon, Vivian, Rinaldi, Sabina, Freisling, Heinz, and Dossus, Laure

Published
2024
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5. On the use of the healthy lifestyle index to investigate specific disease outcomes

Author

Viallon, Vivian, Freisling, Heinz, Matta, Komodo, Nannsen, Anne Østergaard, Dahm, Christina C., Tjønneland, Anne, Eriksen, Anne Kirstine, Kaaks, Rudolf, Katzke, Verena A., Schulze, Matthias B., Masala, Giovanna, Tagliabue, Giovanna, Simeon, Vittorio, Tumino, Rosario, Milani, Lorenzo, Derksen, Jeroen W. G., van der Schouw, Yvonne T., Nøst, Therese Haugdahl, Borch, Kristin Benjaminsen, Sandanger, Torkjel M., Quirós, J. Ramón, Rodriguez-Barranco, Miguel, Bonet, Catalina, Aizpurua-Atxega, Amaia, Cirera, Lluís, Guevara, Marcela, Sundström, Björn, Winkvist, Anna, Heath, Alicia K., Gunter, Marc J., Weiderpass, Elisabete, Johansson, Mattias, and Ferrari, Pietro

Published
2024
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6. Hepatic steatosis, metabolic dysfunction and risk of mortality: findings from a multinational prospective cohort study

Author

Mayén, Ana-Lucia, Sabra, Mirna, Aglago, Elom K., Perlemuter, Gabriel, Voican, Cosmin, Ramos, Ines, Debras, Charlotte, Blanco, Jessica, Viallon, Vivian, Ferrari, Pietro, Olsen, Anja, Tjønneland, Anne, Langmann, Fie, Dahm, Christina C., Rothwell, Joseph, Laouali, Nasser, Marques, Chloé, Schulze, Matthias B., Katzke, Verena, Kaaks, Rudolf, Palli, Domenico, Macciotta, Alessandra, Panico, Salvatore, Tumino, Rosario, Agnoli, Claudia, Farràs, Marta, Molina-Montes, Esther, Amiano, Pilar, Chirlaque, María-Dolores, Castilla, Jesús, Werner, Mårten, Bodén, Stina, Heath, Alicia K., Tsilidis, Kostas, Aune, Dagfinn, Weiderpass, Elisabete, Freisling, Heinz, Gunter, Marc J., and Jenab, Mazda

Published
2024
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7. Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort

Author

Matta, Komodo, Viallon, Vivian, Botteri, Edoardo, Peveri, Giulia, Dahm, Christina, Nannsen, Anne Østergaard, Olsen, Anja, Tjønneland, Anne, Elbaz, Alexis, Artaud, Fanny, Marques, Chloé, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B., Llanaj, Erand, Masala, Giovanna, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Ricceri, Fulvio, Derksen, Jeroen W. G., Nøst, Therese Haugdahl, Sandanger, Torkjel M., Borch, Kristin Benjaminsen, Quirós, J. Ramón, Castro-Espin, Carlota, Sánchez, Maria-José, Atxega, Amaia Aizpurua, Cirera, Lluís, Guevara, Marcela, Manjer, Jonas, Tin Tin, Sandar, Heath, Alicia, Touvier, Mathilde, Goldberg, Marcel, Weiderpass, Elisabete, Gunter, Marc J., Freisling, Heinz, Riboli, Elio, and Ferrari, Pietro

Published
2024
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8. Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis

Author

Morales-Berstein, Fernanda, Biessy, Carine, Viallon, Vivian, Goncalves-Soares, Ana, Casagrande, Corinne, Hémon, Bertrand, Kliemann, Nathalie, Cairat, Manon, Blanco Lopez, Jessica, Al Nahas, Aline, Chang, Kiara, Vamos, Eszter, Rauber, Fernanda, Bertazzi Levy, Renata, Barbosa Cunha, Diana, Jakszyn, Paula, Ferrari, Pietro, Vineis, Paolo, Masala, Giovanna, Catalano, Alberto, Sonestedt, Emily, Borné, Yan, Katzke, Verena, Bajracharya, Rashmita, Agnoli, Claudia, Guevara, Marcela, Heath, Alicia, Radoï, Loredana, Mancini, Francesca, Weiderpass, Elisabete, Huerta, José María, Sánchez, María-José, Tjønneland, Anne, Kyrø, Cecilie, Schulze, Matthias B., Skeie, Guri, Lukic, Marko, Braaten, Tonje, Gunter, Marc, Millett, Christopher, Agudo, Antonio, Brennan, Paul, Borges, M. Carolina, Richmond, Rebecca C., Richardson, Tom G., Davey Smith, George, Relton, Caroline L., and Huybrechts, Inge

Published
2024
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9. Circulating inflammatory and immune response proteins and endometrial cancer risk: a nested case-control study and Mendelian randomization analyses

Author

Wang, Sabrina E., Viallon, Vivian, Lee, Matthew, Dimou, Niki, Hamilton, Fergus, Biessy, Carine, O'Mara, Tracy, Kyrgiou, Maria, Crosbie, Emma J., Truong, Therese, Severi, Gianluca, Kaaks, Rudolf, Fortner, Renée Turzanski, Schulze, Matthias B., Bendinelli, Benedetta, Sabina, Sieri, Tumino, Rosario, Sacerdote, Carlotta, Panico, Salvatore, Crous-Bou, Marta, Sánchez, Maria-Jose, Aizpurua, Amaia, Palacios, Daniel Rodriguez, Guevara, Marcela, Travis, Ruth C., Tsilidis, Konstantinos K., Heath, Alicia, Yarmolinsky, James, Rinaldi, Sabina, Gunter, Marc J., and Dossus, Laure

Published
2024
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11. Body mass index and cancer risk among adults with and without cardiometabolic diseases: evidence from the EPIC and UK Biobank prospective cohort studies

Author

Fontvieille, Emma, Viallon, Vivian, Recalde, Martina, Cordova, Reynalda, Jansana, Anna, Peruchet-Noray, Laia, Lennon, Hannah, Heath, Alicia K., Aune, Dagfinn, Christakoudi, Sofia, Katzke, Verena, Kaaks, Rudolf, Inan-Eroglu, Elif, Schulze, Matthias B., Mellemkjær, Lene, Tjønneland, Anne, Overvad, Kim, Farràs, Marta, Petrova, Dafina, Amiano, Pilar, Chirlaque, María-Dolores, Moreno-Iribas, Conchi, Tin Tin, Sandar, Masala, Giovanna, Sieri, Sabina, Ricceri, Fulvio, Panico, Salvatore, May, Anne M., Monninkhof, Evelyn M., Weiderpass, Elisabete, Gunter, Marc J., Ferrari, Pietro, and Freisling, Heinz

Published
2023
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14. Circulating amino acid levels and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition and UK Biobank cohorts

Author

Rothwell, Joseph A., Bešević, Jelena, Dimou, Niki, Breeur, Marie, Murphy, Neil, Jenab, Mazda, Wedekind, Roland, Viallon, Vivian, Ferrari, Pietro, Achaintre, David, Gicquiau, Audrey, Rinaldi, Sabina, Scalbert, Augustin, Huybrechts, Inge, Prehn, Cornelia, Adamski, Jerzy, Cross, Amanda J., Keun, Hector, Chadeau-Hyam, Marc, Boutron-Ruault, Marie-Christine, Overvad, Kim, Dahm, Christina C., Nøst, Therese Haugdahl, Sandanger, Torkjel M., Skeie, Guri, Zamora-Ros, Raul, Tsilidis, Kostas K., Eichelmann, Fabian, Schulze, Matthias B., van Guelpen, Bethany, Vidman, Linda, Sánchez, Maria-José, Amiano, Pilar, Ardanaz, Eva, Smith-Byrne, Karl, Travis, Ruth, Katzke, Verena, Kaaks, Rudolf, Derksen, Jeroen W. G., Colorado-Yohar, Sandra, Tumino, Rosario, Bueno-de-Mesquita, Bas, Vineis, Paolo, Palli, Domenico, Pasanisi, Fabrizio, Eriksen, Anne Kirstine, Tjønneland, Anne, Severi, Gianluca, and Gunter, Marc J.

Published
2023
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15. Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: a nested case–control study in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Harewood, Rhea, Rothwell, Joseph A., Bešević, Jelena, Viallon, Vivian, Achaintre, David, Gicquiau, Audrey, Rinaldi, Sabina, Wedekind, Roland, Prehn, Cornelia, Adamski, Jerzy, Schmidt, Julie A., Jacobs, Inarie, Tjønneland, Anne, Olsen, Anja, Severi, Gianluca, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B., Prada, Marcela, Masala, Giovanna, Agnoli, Claudia, Panico, Salvatore, Sacerdote, Carlotta, Jakszyn, Paula Gabriela, Sánchez, Maria-Jose, Castilla, Jesús, Chirlaque, María-Dolores, Atxega, Amaia Aizpurua, van Guelpen, Bethany, Heath, Alicia K., Papier, Keren, Tong, Tammy Y.N., Summers, Scott A., Playdon, Mary, Cross, Amanda J., Keski-Rahkonen, Pekka, Chajès, Véronique, Murphy, Neil, and Gunter, Marc J.

Published
2024
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16. Adiposity and breast, endometrial, and colorectal cancer risk in postmenopausal women: Quantification of the mediating effects of leptin, C‐reactive protein, fasting insulin, and estradiol

Author

Dashti, S Ghazaleh, Simpson, Julie A, Viallon, Vivian, Karahalios, Amalia, Moreno‐Betancur, Margarita, Brasky, Theodore, Pan, Kathy, Rohan, Thomas E, Shadyab, Aladdin H, Thomson, Cynthia A, Wild, Robert A, Wassertheil‐Smoller, Sylvia, Ho, Gloria YF, Strickler, Howard D, English, Dallas R, and Gunter, Marc J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Trials and Supportive Activities, Nutrition, Prevention, Breast Cancer, Digestive Diseases, Aging, Clinical Research, Colo-Rectal Cancer, Cancer, Obesity, Adiposity, Body Mass Index, Breast Neoplasms, C-Reactive Protein, Case-Control Studies, Cohort Studies, Colorectal Neoplasms, Endometrial Neoplasms, Estradiol, Fasting, Female, Humans, Insulin, Leptin, Postmenopause, Risk Factors, breast cancer, causal mediation analysis, colorectal cancer, endometrial cancer, estrogens, inflammation, insulin, Biochemistry and Cell Biology, Oncology and carcinogenesis
Abstract

BackgroundMechanisms underlying the adiposity-cancer relationship are incompletely understood. We quantified the mediating roles of C-reactive protein (CRP), leptin, fasting insulin, and estradiol in the effect of adiposity on estrogen receptor (ER)-positive breast, endometrial, and colorectal cancer risk in postmenopausal women.MethodsWe used a case-cohort study within the Women's Health Initiative Observational Study, analyzed as a cumulative sampling case-control study. The study included 188 breast cancer cases, 98 endometrial cancer cases, 193 colorectal cancer cases, and 285 controls. Interventional indirect and direct effects on the risk ratio (RR) scale were estimated using causal mediation analysis.ResultsFor breast cancer, the total effect RR for BMI ≥30 versus ≥18.5-

Published
2022

17. On some limitations of probabilistic models for dimension-reduction: Illustration in the case of probabilistic formulations of partial least squares

Author

Etievant, Lola and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

Partial Least Squares (PLS) refer to a class of dimension-reduction techniques aiming at the identification of two sets of components with maximal covariance, to model the relationship between two sets of observed variables $x\in\mathbb{R}^p$ and $y\in\mathbb{R}^q$, with $p\geq 1, q\geq 1$. Probabilistic formulations have recently been proposed for several versions of the PLS. Focusing first on the probabilistic formulation of the PLS-SVD proposed by el Bouhaddani et al., we establish that the constraints on their model parameters are too restrictive and define particular distributions for $(x,y)$, under which components with maximal covariance (solutions of PLS-SVD) are also necessarily of respective maximal variances (solutions of principal components analyses of $x$ and $y$, respectively). We propose an alternative probabilistic formulation of PLS-SVD, no longer restricted to these particular distributions. We then present numerical illustrations of the limitation of the original model of el Bouhaddani et al. We also briefly discuss similar limitations in another latent variable model for dimension-reduction.

Published
2020
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19. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study

Author

Sedlmeier, Anja M., Viallon, Vivian, Ferrari, Pietro, Peruchet-Noray, Laia, Fontvieille, Emma, Amadou, Amina, Seyed Khoei, Nazlisadat, Weber, Andrea, Baurecht, Hansjörg, Heath, Alicia K., Tsilidis, Kostas, Kaaks, Rudolf, Katzke, Verena, Inan-Eroglu, Elif, Schulze, Matthias B., Overvad, Kim, Bonet, Catalina, Ubago-Guisado, Esther, Chirlaque, María-Dolores, Ardanaz, Eva, Perez-Cornago, Aurora, Pala, Valeria, Tumino, Rosario, Sacerdote, Carlotta, Pasanisi, Fabrizio, Borch, Kristin B., Rylander, Charlotta, Weiderpass, Elisabete, Gunter, Marc J., Fervers, Béatrice, Leitzmann, Michael F., and Freisling, Heinz

Published
2023
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20. Associations between dietary inflammatory scores and biomarkers of inflammation in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author

Lécuyer, Lucie, Laouali, Nasser, Viallon, Vivian, Artaud, Fanny, Hébert, James R., Shivappa, Nitin, Agudo, Antonio, Tjønneland, Anne, Mellemkjær, Lene, Kaaks, Rudolf, Katzke, Verena A., Schulze, Matthias B., Frenoy, Pauline, Mancini, Francesca Romana, De Magistris, Maria Santucci, Macciotta, Alessandra, Masala, Giovanna, Agnoli, Claudia, Tumino, Rosario, Boer, Jolanda M.A., Verschuren, W.M. Monique, Enget Jensen, Torill M., Olsen, Karina Standahl, Skeie, Guri, Chirlaque, María-Dolores, Petrova, Dafina, Castro-Espin, Carlota, Quirós, J. Ramón, Guevara, Marcela, Amiano, Pilar, Borné, Yan, Sandström, Maria, Nilsson, Lena Maria, Heath, Alicia K., Mayen, Ana-Lucia, Huybrechts, Inge, Weiderpass, Elisabete, Boutron-Ruault, Marie-Christine, Dossus, Laure, Rinaldi, Sabina, and Truong, Thérèse

Published
2023
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21. Sparse estimation for case-control studies with multiple subtypes of cases

Author

Ballout, Nadim, Garcia, Cedric, and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

The analysis of case-control studies with several subtypes of cases is increasingly common, e.g. in cancer epidemiology. For matched designs, we show that a natural strategy is based on a stratified conditional logistic regression model. Then, to account for the potential homogeneity among the subtypes of cases, we adapt the ideas of data shared lasso, which has been recently proposed for the estimation of regression models in a stratified setting. For unmatched designs, we compare two standard methods based on L1-norm penalized multinomial logistic regression. We describe formal connections between these two approaches, from which practical guidance can be derived. We show that one of these approaches, which is based on a symmetric formulation of the multinomial logistic regression model, actually reduces to a data shared lasso version of the other. Consequently, the relative performance of the two approaches critically depends on the level of homogeneity that exists among the subtypes of cases: more precisely, when homogeneity is moderate to high, the non-symmetric formulation with controls as the reference is not recommended. Empirical results obtained from synthetic data are presented, which confirm the benefit of properly accounting for potential homogeneity under both matched and unmatched designs. We also present preliminary results from the analysis a case-control study nested within the EPIC cohort, where the objective is to identify metabolites associated with the occurrence of subtypes of breast cancer., Comment: 26 pages, 4 figures

Published
2019

22. Which practical interventions does the do-operator refer to in causal inference? Illustration on the example of obesity and cancer

Author

Etievant, Lola and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

For exposures $X$ like obesity, no precise and unambiguous definition exists for the hypothetical intervention $do(X = x_0)$. This has raised concerns about the relevance of causal effects estimated from observational studies for such exposures. Under the framework of structural causal models, we study how the effect of $do(X = x_0)$ relates to the effect of interventions on causes of $X$. We show that for interventions focusing on causes of $X$ that affect the outcome through $X$ only, the effect of $do(X = x_0)$ equals the effect of the considered intervention. On the other hand, for interventions on causes $W$ of $X$ that affect the outcome not only through $X$, we show that the effect of $do(X = x_0)$ only partly captures the effect of the intervention. In particular, under simple causal models (e.g., linear models with no interaction), the effect of $do(X = x_0)$ can be seen as an indirect effect of the intervention on $W$.

Published
2019

23. Food processing and cancer risk in Europe: results from the prospective EPIC cohort study

Author

Kliemann, Nathalie, Rauber, Fernanda, Bertazzi Levy, Renata, Viallon, Vivian, Vamos, Eszter P, Cordova, Reynalda, Freisling, Heinz, Casagrande, Corinne, Nicolas, Genevieve, Aune, Dagfinn, Tsilidis, Konstantinos K, Heath, Alicia, Schulze, Matthias B, Jannasch, Franziska, Srour, Bernard, Kaaks, Rudolf, Rodriguez-Barranco, Miguel, Tagliabue, Giovanna, Agudo, Antonio, Panico, Salvatore, Ardanaz, Eva, Chirlaque, María-Dolores, Vineis, Paolo, Tumino, Rosario, Perez-Cornago, Aurora, Andersen, Julie Louise Munk, Tjønneland, Anne, Skeie, Guri, Weiderpass, Elisabete, Monteiro, Carlos Augusto, Gunter, Marc J, Millett, Christopher, and Huybrechts, Inge

Published
2023
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24. A longitudinal evaluation of alcohol intake throughout adulthood and colorectal cancer risk

Author

Mayén, Ana-Lucia, Viallon, Vivian, Botteri, Edoardo, Proust-Lima, Cecile, Bagnardi, Vincenzo, Batista, Veronica, Cross, Amanda J., Laouali, Nasser, MacDonald, Conor J., Severi, Gianluca, Katzke, Verena, Bergmann, Manuela M., Schulze, Mattias B., Tjønneland, Anne, Eriksen, Anne Kirstine, Dahm, Christina C., Antoniussen, Christian S., Jakszyn, Paula, Sánchez, Maria-Jose, Amiano, Pilar, Colorado-Yohar, Sandra M., Ardanaz, Eva, Travis, Ruth, Palli, Domenico, Sabina, Sieri, Tumino, Rosario, Ricceri, Fulvio, Panico, Salvatore, Bueno-de-Mesquita, Bas, Derksen, Jeroen W. G., Sonestedt, Emily, Winkvist, Anna, Harlid, Sophia, Braaten, Tonje, Gram, Inger Torhild, Lukic, Marko, Jenab, Mazda, Riboli, Elio, Freisling, Heinz, Weiderpass, Elisabete, Gunter, Marc J., and Ferrari, Pietro

Published
2022
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25. Causal inference under over-simplified longitudinal causal models

Author

Etievant, Lola and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

Many causal models of interest in epidemiology involve longitudinal exposures, confounders and mediators. However, repeated measurements are not always available or used in practice, leading analysts to overlook the time-varying nature of exposures and work under over-simplified causal models. Our objective is to assess whether - and how - causal effects identified under such misspecified causal models relates to true causal effects of interest. We derive sufficient conditions ensuring that the quantities estimated in practice under over-simplified causal models can be expressed as weighted averages of longitudinal causal effects of interest. Unsurprisingly, these sufficient conditions are very restrictive, and our results state that the quantities estimated in practice should be interpreted with caution in general, as they usually do not relate to any longitudinal causal effect of interest. Our simulations further illustrate that the bias between the quantities estimated in practice and the weighted averages of longitudinal causal effects of interest can be substantial. Overall, our results confirm the need for repeated measurements to conduct proper analyses and/or the development of sensitivity analyses when they are not available.

Published
2018
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26. Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition

Author

Breeur, Marie, Ferrari, Pietro, Dossus, Laure, Jenab, Mazda, Johansson, Mattias, Rinaldi, Sabina, Travis, Ruth C., His, Mathilde, Key, Tim J., Schmidt, Julie A., Overvad, Kim, Tjønneland, Anne, Kyrø, Cecilie, Rothwell, Joseph A., Laouali, Nasser, Severi, Gianluca, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B., Eichelmann, Fabian, Palli, Domenico, Grioni, Sara, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Bueno-de-Mesquita, Bas, Olsen, Karina Standahl, Sandanger, Torkjel Manning, Nøst, Therese Haugdahl, Quirós, J. Ramón, Bonet, Catalina, Barranco, Miguel Rodríguez, Chirlaque, María-Dolores, Ardanaz, Eva, Sandsveden, Malte, Manjer, Jonas, Vidman, Linda, Rentoft, Matilda, Muller, David, Tsilidis, Kostas, Heath, Alicia K., Keun, Hector, Adamski, Jerzy, Keski-Rahkonen, Pekka, Scalbert, Augustin, Gunter, Marc J., and Viallon, Vivian

Published
2022
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27. Circulating inflammatory biomarkers, adipokines and breast cancer risk—a case-control study nested within the EPIC cohort

Author

Cairat, Manon, Rinaldi, Sabina, Navionis, Anne-Sophie, Romieu, Isabelle, Biessy, Carine, Viallon, Vivian, Olsen, Anja, Tjønneland, Anne, Fournier, Agnès, Severi, Gianluca, Kvaskoff, Marina, Fortner, Renée T., Kaaks, Rudolf, Aleksandrova, Krasimira, Schulze, Matthias B., Masala, Giovanna, Tumino, Rosario, Sieri, Sabina, Grasso, Chiara, Mattiello, Amalia, Gram, Inger T., Olsen, Karina Standahl, Agudo, Antonio, Etxezarreta, Pilar Amiano, Sánchez, Maria-Jose, Santiuste, Carmen, Barricarte, Aurelio, Monninkhof, Evelyn, Hiensch, Anouk E., Muller, David, Merritt, Melissa A., Travis, Ruth C., Weiderpass, Elisabete, Gunter, Marc J., and Dossus, Laure

Published
2022
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28. Impact of cumulative body mass index and cardiometabolic diseases on survival among patients with colorectal and breast cancer: a multi-centre cohort study

Author

Kohls, Mirjam, Freisling, Heinz, Charvat, Hadrien, Soerjomataram, Isabelle, Viallon, Vivian, Davila-Batista, Veronica, Kaaks, Rudolf, Turzanski-Fortner, Renée, Aleksandrova, Krasimira, Schulze, Matthias B., Dahm, Christina C., Tilma Vistisen, Helene, Rostgaard-Hansen, Agnetha Linn, Tjønneland, Anne, Bonet, Catalina, Sánchez, Maria-Jose, Colorado-Yohar, Sandra, Masala, Giovanna, Palli, Domenico, Krogh, Vittorio, Ricceri, Fulvio, Rolandsson, Olov, Lu, Sai San Moon, Tsilidis, Konstantinos K., Weiderpass, Elisabete, Gunter, Marc J., Ferrari, Pietro, Berger, Ursula, and Arnold, Melina

Published
2022
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29. Structure estimation of binary graphical models on stratified data: application to the description of injury tables for victims of road accidents

Author

Ballout, Nadim and Viallon, Vivian

Subjects
Statistics - Methodology, Statistics - Applications
Abstract

Graphical models are used in many applications such as medical diagnostic, computer security, etc. More and more often, the estimation of such models has to be performed on several predefined strata of the whole population. For instance, in epidemiology and clinical research, strata are often defined according to age, gender, treatment or disease type, etc. In this article, we propose new approaches aimed at estimating binary graphical models on such strata. Our approaches are obtained by combining well-known methods when estimating one single binary graphical model, with penalties encouraging structured sparsity, and which have recently been shown appropriate when dealing with stratified data. Empirical comparions on synthetic data highlight that our approaches generally outperform the competitors we considered. An application is provided where we study associations among injuries suffered by victims of road accidents according to road user type., Comment: 24 pages, 7 figures

Published
2017

30. Can collider bias fully explain the obesity paradox?

Author

Viallon, Vivian and Dufournet, Marine

Subjects
Statistics - Methodology
Abstract

The "obesity paradox" has been reported in several observational studies, where obesity was shown to be associated to a decreased mortality in individuals suffering from a chronic disease, such as diabetes or heart failure. Causal arguments have recently been given to explain this apparently paradoxical fact: because the chronic disease is caused by obesity, the observed "protective effect" of obesity among patients with, say, diabetes, actually has no causal value. Recently, Sperrin et al. (2016) relaunched the debate and claimed that the resulting bias, the so-called collider bias, was unlikely to be the main explanation for the obesity paradox. However, a number of issues in their work make their conclusions questionable. In this article, we first study the bias between (i) the association between obesity and early death among patients suffering from the chronic disease $\Delta_{AS}$ and (ii) the causal effect considered by Sperrin et al. Under the usual framework of structural causal models, we explain why this bias can be much higher than what these authors reported. We further consider alternative causal effects of potential interest and study their difference with $\Delta_{AS}$. Numerical examples are presented to illustrate the magnitude of these differences under realistic scenarios. We show that it is possible to have a negative $\Delta_{AS}$, while the causal effects we considered are all positive. Therefore, even under the very simple generative model we considered, collider bias can be the sole cause of the obesity paradox., Comment: 26 pages, 5 figures

Published
2016

33. Impact of pre‐existing cardiometabolic diseases on metastatic cancer stage at diagnosis: a prospective multinational cohort study

Author

Jansana, Anna, primary, Auguste, Aviane, additional, Kvaskoff, Marina, additional, Fournier, Agnès, additional, Fontvieille, Emma, additional, Peruchet‐Noray, Laia, additional, Biessy, Carine, additional, Cordova, Reynalda, additional, Nielsen Petersen, Kristina Elin, additional, Tjønneland, Anne, additional, Katzke, Verena, additional, Kaaks, Rudolf, additional, Ricceri, Fulvio, additional, Panico, Salvatore, additional, Contiero, Paolo, additional, Sánchez, Maria‐Jose, additional, Castilla, Jesus, additional, Crous‐Bou, Marta, additional, Heath, Alicia, additional, Aglago, Elom Kouassivi, additional, Weiderpass, Elisabete, additional, Gunter, Marc James, additional, Ferrari, Pietro, additional, Riboli, Elio, additional, Viallon, Vivian, additional, and Freisling, Heinz, additional

Published
2024
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34. Healthy lifestyle and the risk of pancreatic cancer in the EPIC study

Author

Naudin, Sabine, Viallon, Vivian, Hashim, Dana, Freisling, Heinz, Jenab, Mazda, Weiderpass, Elisabete, Perrier, Flavie, McKenzie, Fiona, Bueno-de-Mesquita, H Bas, Olsen, Anja, Tjønneland, Anne, Dahm, Christina C., Overvad, Kim, Mancini, Francesca R., Rebours, Vinciane, Boutron-Ruault, Marie-Christine, Katzke, Verena, Kaaks, Rudolf, Bergmann, Manuela, Boeing, Heiner, Peppa, Eleni, Karakatsani, Anna, Trichopoulou, Antonia, Pala, Valeria, Masala, Giovana, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, May, Anne M., van Gils, Carla H., Rylander, Charlotta, Borch, Kristin Benjaminsen, López, María Dolores Chirlaque, Sánchez, Maria-Jose, Ardanaz, Eva, Quirós, José Ramón, Exezarreta, Pilar Amiano, Sund, Malin, Drake, Isabel, Regnér, Sara, Travis, Ruth C., Wareham, Nick, Aune, Dagfinn, Riboli, Elio, Gunter, Marc J., Duell, Eric J., Brennan, Paul, and Ferrari, Pietro

Published
2020

35. Causal inference to detect selection bias in road safety epidemiology

Author

Dufournet, Marine, Lanoy, Emilie, Martin, Jean-Louis, and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

In the field of road safety, it is common to use responsibility analyses to assess the effect of a given factor on the risk of being responsible for an accident, among drivers involved in an accident only. Even if this design is now widely adopted in the field, the question of selection bias is often raised. The structural Causal Model framework now provides valuable tools to assess causal effects from observational data and identify selection bias. In this article, we briefly review recent results regarding the recoverability of causal effects from selection biased data, and apply them to the case of responsibility analyses. Our objective is to formally determine whether causal effects can be unbiasedly estimated through this type of analyses, when available data are restricted to severe accidents, as it is commonly the case in practice. However, because speed has a direct effect on the severity of the accident, we show that causal odds-ratios are not estimable from responsibility analyses. We present numerical results to illustrate our argument, the magnitude of the bias and to discuss recent results from real data.

Published
2016

36. Prospective analysis of circulating metabolites and endometrial cancer risk

Author

Dossus, Laure, Kouloura, Eirini, Biessy, Carine, Viallon, Vivian, Siskos, Alexandros P., Dimou, Niki, Rinaldi, Sabina, Merritt, Melissa A., Allen, Naomi, Fortner, Renee, Kaaks, Rudolf, Weiderpass, Elisabete, Gram, Inger T., Rothwell, Joseph A., Lécuyer, Lucie, Severi, Gianluca, Schulze, Matthias B., Nøst, Therese Haugdahl, Crous-Bou, Marta, Sánchez, Maria-Jose, Amiano, Pilar, Colorado-Yohar, Sandra M., Gurrea, Aurelio Barricarte, Schmidt, Julie A., Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Sacerdote, Carlotta, Mattiello, Amalia, Vermeulen, Roel, Heath, Alicia K., Christakoudi, Sofia, Tsilidis, Konstantinos K., Travis, Ruth C., Gunter, Marc J., and Keun, Hector C.

Published
2021
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38. On the use of the healthy lifestyle index to investigate specific disease outcomes

Author

Epi Kanker Team B, Cancer, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Viallon, Vivian, Freisling, Heinz, Matta, Komodo, Nannsen, Anne Østergaard, Dahm, Christina C., Tjønneland, Anne, Eriksen, Anne Kirstine, Kaaks, Rudolf, Katzke, Verena A., Schulze, Matthias B., Masala, Giovanna, Tagliabue, Giovanna, Simeon, Vittorio, Tumino, Rosario, Milani, Lorenzo, Derksen, Jeroen W.G., van der Schouw, Yvonne T., Nøst, Therese Haugdahl, Borch, Kristin Benjaminsen, Sandanger, Torkjel M., Quirós, J. Ramón, Rodriguez-Barranco, Miguel, Bonet, Catalina, Aizpurua-Atxega, Amaia, Cirera, Lluís, Guevara, Marcela, Sundström, Björn, Winkvist, Anna, Heath, Alicia K., Gunter, Marc J., Weiderpass, Elisabete, Johansson, Mattias, Ferrari, Pietro, Epi Kanker Team B, Cancer, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Viallon, Vivian, Freisling, Heinz, Matta, Komodo, Nannsen, Anne Østergaard, Dahm, Christina C., Tjønneland, Anne, Eriksen, Anne Kirstine, Kaaks, Rudolf, Katzke, Verena A., Schulze, Matthias B., Masala, Giovanna, Tagliabue, Giovanna, Simeon, Vittorio, Tumino, Rosario, Milani, Lorenzo, Derksen, Jeroen W.G., van der Schouw, Yvonne T., Nøst, Therese Haugdahl, Borch, Kristin Benjaminsen, Sandanger, Torkjel M., Quirós, J. Ramón, Rodriguez-Barranco, Miguel, Bonet, Catalina, Aizpurua-Atxega, Amaia, Cirera, Lluís, Guevara, Marcela, Sundström, Björn, Winkvist, Anna, Heath, Alicia K., Gunter, Marc J., Weiderpass, Elisabete, Johansson, Mattias, and Ferrari, Pietro

Published
2024

39. Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort

Author

Cancer, Matta, Komodo, Viallon, Vivian, Botteri, Edoardo, Peveri, Giulia, Dahm, Christina, Nannsen, Anne Østergaard, Olsen, Anja, Tjønneland, Anne, Elbaz, Alexis, Artaud, Fanny, Marques, Chloé, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B., Llanaj, Erand, Masala, Giovanna, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Ricceri, Fulvio, Derksen, Jeroen W.G., Nøst, Therese Haugdahl, Sandanger, Torkjel M., Borch, Kristin Benjaminsen, Quirós, J. Ramón, Castro-Espin, Carlota, Sánchez, Maria José, Atxega, Amaia Aizpurua, Cirera, Lluís, Guevara, Marcela, Manjer, Jonas, Tin Tin, Sandar, Heath, Alicia, Touvier, Mathilde, Goldberg, Marcel, Weiderpass, Elisabete, Gunter, Marc J., Freisling, Heinz, Riboli, Elio, Ferrari, Pietro, Cancer, Matta, Komodo, Viallon, Vivian, Botteri, Edoardo, Peveri, Giulia, Dahm, Christina, Nannsen, Anne Østergaard, Olsen, Anja, Tjønneland, Anne, Elbaz, Alexis, Artaud, Fanny, Marques, Chloé, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B., Llanaj, Erand, Masala, Giovanna, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Ricceri, Fulvio, Derksen, Jeroen W.G., Nøst, Therese Haugdahl, Sandanger, Torkjel M., Borch, Kristin Benjaminsen, Quirós, J. Ramón, Castro-Espin, Carlota, Sánchez, Maria José, Atxega, Amaia Aizpurua, Cirera, Lluís, Guevara, Marcela, Manjer, Jonas, Tin Tin, Sandar, Heath, Alicia, Touvier, Mathilde, Goldberg, Marcel, Weiderpass, Elisabete, Gunter, Marc J., Freisling, Heinz, Riboli, Elio, and Ferrari, Pietro

Published
2024

40. 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

Author

Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, González-Gil, Esther M., Peruchet-Noray, Laia, Sedlmeier, Anja M., Christakoudi, Sofia, Biessy, Carine, Navionis, Anne Sophie, Mahamat-Saleh, Yahya, Jaafar, Rola F., Baurecht, Hansjörg, Guevara, Marcela, Etxezarreta, Pilar Amiano, Verschuren, W. M.Monique, Boer, Jolanda M.A., Olsen, Anja, Tjønneland, Anne, Simeon, Vittorio, Castro-Espin, Carlota, Aune, Dagfinn, Heath, Alicia K., Gunter, Marc, Colorado-Yohar, Sandra M., Zilhão, Nuno R., Dahm, Christina C., Llanaj, Erand, Schulze, Matthias B., Petrova, Dafina, Sieri, Sabina, Ricceri, Fulvio, Masala, Giovanna, Key, Tim, Viallon, Vivian, Rinaldi, Sabina, Freisling, Heinz, Dossus, Laure, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, González-Gil, Esther M., Peruchet-Noray, Laia, Sedlmeier, Anja M., Christakoudi, Sofia, Biessy, Carine, Navionis, Anne Sophie, Mahamat-Saleh, Yahya, Jaafar, Rola F., Baurecht, Hansjörg, Guevara, Marcela, Etxezarreta, Pilar Amiano, Verschuren, W. M.Monique, Boer, Jolanda M.A., Olsen, Anja, Tjønneland, Anne, Simeon, Vittorio, Castro-Espin, Carlota, Aune, Dagfinn, Heath, Alicia K., Gunter, Marc, Colorado-Yohar, Sandra M., Zilhão, Nuno R., Dahm, Christina C., Llanaj, Erand, Schulze, Matthias B., Petrova, Dafina, Sieri, Sabina, Ricceri, Fulvio, Masala, Giovanna, Key, Tim, Viallon, Vivian, Rinaldi, Sabina, Freisling, Heinz, and Dossus, Laure

Published
2024

41. Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk:a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Harewood, Rhea, Rothwell, Joseph A, Bešević, Jelena, Viallon, Vivian, Achaintre, David, Gicquiau, Audrey, Rinaldi, Sabina, Wedekind, Roland, Prehn, Cornelia, Adamski, Jerzy, Schmidt, Julie A, Jacobs, Inarie, Tjønneland, Anne, Olsen, Anja, Severi, Gianluca, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B, Prada, Marcela, Masala, Giovanna, Agnoli, Claudia, Panico, Salvatore, Sacerdote, Carlotta, Jakszyn, Paula Gabriela, Sánchez, Maria-Jose, Castilla, Jesús, Chirlaque, María-Dolores, Atxega, Amaia Aizpurua, van Guelpen, Bethany, Heath, Alicia K, Papier, Keren, Tong, Tammy Y N, Summers, Scott A, Playdon, Mary, Cross, Amanda J, Keski-Rahkonen, Pekka, Chajès, Véronique, Murphy, Neil, Gunter, Marc J, Harewood, Rhea, Rothwell, Joseph A, Bešević, Jelena, Viallon, Vivian, Achaintre, David, Gicquiau, Audrey, Rinaldi, Sabina, Wedekind, Roland, Prehn, Cornelia, Adamski, Jerzy, Schmidt, Julie A, Jacobs, Inarie, Tjønneland, Anne, Olsen, Anja, Severi, Gianluca, Kaaks, Rudolf, Katzke, Verena, Schulze, Matthias B, Prada, Marcela, Masala, Giovanna, Agnoli, Claudia, Panico, Salvatore, Sacerdote, Carlotta, Jakszyn, Paula Gabriela, Sánchez, Maria-Jose, Castilla, Jesús, Chirlaque, María-Dolores, Atxega, Amaia Aizpurua, van Guelpen, Bethany, Heath, Alicia K, Papier, Keren, Tong, Tammy Y N, Summers, Scott A, Playdon, Mary, Cross, Amanda J, Keski-Rahkonen, Pekka, Chajès, Véronique, Murphy, Neil, and Gunter, Marc J

Abstract

Background Altered lipid metabolism is a hallmark of cancer development. However, the role of specific lipid metabolites in colorectal cancer development is uncertain. Methods In a case–control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined associations between pre-diagnostic circulating concentrations of 97 lipid metabolites (acylcarnitines, glycerophospholipids and sphingolipids) and colorectal cancer risk. Circulating lipids were measured using targeted mass spectrometry in 1591 incident colorectal cancer cases (55% women) and 1591 matched controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between concentrations of individual lipid metabolites and metabolite patterns with colorectal cancer risk. Findings Of the 97 assayed lipids, 24 were inversely associated (nominally p < 0.05) with colorectal cancer risk. Hydroxysphingomyelin (SM (OH)) C22:2 (ORper doubling 0.60, 95% CI 0.47–0.77) and acylakyl-phosphatidylcholine (PC ae) C34:3 (ORper doubling 0.71, 95% CI 0.59–0.87) remained associated after multiple comparisons correction. These associations were unaltered after excluding the first 5 years of follow-up after blood collection and were consistent according to sex, age at diagnosis, BMI, and colorectal subsite. Two lipid patterns, one including 26 phosphatidylcholines and all sphingolipids, and another 30 phosphatidylcholines, were weakly inversely associated with colorectal cancer. Interpretation Elevated pre-diagnostic circulating levels of SM (OH) C22:2 and PC ae C34:3 and lipid patterns including phosphatidylcholines and sphingolipids were associated with lower colorectal cancer risk. This study may provide insight into potential links between specific lipids and colorectal cancer development. Additional prospective studies are needed to validate the observed ass, BACKGROUND: Altered lipid metabolism is a hallmark of cancer development. However, the role of specific lipid metabolites in colorectal cancer development is uncertain.METHODS: In a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined associations between pre-diagnostic circulating concentrations of 97 lipid metabolites (acylcarnitines, glycerophospholipids and sphingolipids) and colorectal cancer risk. Circulating lipids were measured using targeted mass spectrometry in 1591 incident colorectal cancer cases (55% women) and 1591 matched controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between concentrations of individual lipid metabolites and metabolite patterns with colorectal cancer risk.FINDINGS: Of the 97 assayed lipids, 24 were inversely associated (nominally p < 0.05) with colorectal cancer risk. Hydroxysphingomyelin (SM (OH)) C22:2 (ORper doubling 0.60, 95% CI 0.47-0.77) and acylakyl-phosphatidylcholine (PC ae) C34:3 (ORper doubling 0.71, 95% CI 0.59-0.87) remained associated after multiple comparisons correction. These associations were unaltered after excluding the first 5 years of follow-up after blood collection and were consistent according to sex, age at diagnosis, BMI, and colorectal subsite. Two lipid patterns, one including 26 phosphatidylcholines and all sphingolipids, and another 30 phosphatidylcholines, were weakly inversely associated with colorectal cancer.INTERPRETATION: Elevated pre-diagnostic circulating levels of SM (OH) C22:2 and PC ae C34:3 and lipid patterns including phosphatidylcholines and sphingolipids were associated with lower colorectal cancer risk. This study may provide insight into potential links between specific lipids and colorectal cancer development. Additional prospective studies are needed to validate the observed associations.F

Published
2024

42. Impact of pre-existing cardiometabolic diseases on metastatic cancer stage at diagnosis:a prospective multinational cohort study

Author

Jansana, Anna, Auguste, Aviane, Kvaskoff, Marina, Fournier, Agnès, Fontvieille, Emma, Peruchet-Noray, Laia, Biessy, Carine, Cordova, Reynalda, Nielsen Petersen, Kristina Elin, Tjønneland, Anne, Katzke, Verena, Kaaks, Rudolf, Ricceri, Fulvio, Panico, Salvatore, Contiero, Paolo, Sánchez, Maria-Jose, Castilla, Jesus, Crous-Bou, Marta, Heath, Alicia, Aglago, Elom Kouassivi, Weiderpass, Elisabete, Gunter, Marc James, Ferrari, Pietro, Riboli, Elio, Viallon, Vivian, Freisling, Heinz, Jansana, Anna, Auguste, Aviane, Kvaskoff, Marina, Fournier, Agnès, Fontvieille, Emma, Peruchet-Noray, Laia, Biessy, Carine, Cordova, Reynalda, Nielsen Petersen, Kristina Elin, Tjønneland, Anne, Katzke, Verena, Kaaks, Rudolf, Ricceri, Fulvio, Panico, Salvatore, Contiero, Paolo, Sánchez, Maria-Jose, Castilla, Jesus, Crous-Bou, Marta, Heath, Alicia, Aglago, Elom Kouassivi, Weiderpass, Elisabete, Gunter, Marc James, Ferrari, Pietro, Riboli, Elio, Viallon, Vivian, and Freisling, Heinz

Abstract

Owing to shared risk factors between cardiometabolic diseases (CMDs) and cancer, coupled with population aging, the lifetime risk of an individual developing cancer after a CMD is increasing. Furthermore, biological mechanisms such as insulin resistance or inflammation may not only predispose individuals with CMD to an elevated risk of certain types of cancer but also to a diagnosis of cancer at an advanced stage, Owing to shared risk factors between cardiometabolic diseases (CMDs) and cancer, coupled with population aging, the lifetime risk of an individual developing cancer after a CMD is increasing. Furthermore, biological mechanisms such as insulin resistance or inflammation may not only predispose individuals with CMD to an elevated risk of certain types of cancer but also to a diagnosis of cancer at an advanced stage

Published
2024

43. Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study:a mediation analysis

Author

Morales-Berstein, Fernanda, Biessy, Carine, Viallon, Vivian, Goncalves-Soares, Ana, Casagrande, Corinne, Hémon, Bertrand, Kliemann, Nathalie, Cairat, Manon, Blanco Lopez, Jessica, Al Nahas, Aline, Chang, Kiara, Vamos, Eszter, Rauber, Fernanda, Bertazzi Levy, Renata, Barbosa Cunha, Diana, Jakszyn, Paula, Ferrari, Pietro, Vineis, Paolo, Masala, Giovanna, Catalano, Alberto, Sonestedt, Emily, Borné, Yan, Katzke, Verena, Bajracharya, Rashmita, Agnoli, Claudia, Guevara, Marcela, Heath, Alicia, Radoï, Loredana, Mancini, Francesca, Weiderpass, Elisabete, Huerta, José María, Sánchez, María-José, Tjønneland, Anne, Kyrø, Cecilie, Schulze, Matthias B, Skeie, Guri, Lukic, Marko, Braaten, Tonje, Gunter, Marc, Millett, Christopher, Agudo, Antonio, Brennan, Paul, Borges, M Carolina, Richmond, Rebecca C, Richardson, Tom G, Davey Smith, George, Relton, Caroline L, Huybrechts, Inge, Morales-Berstein, Fernanda, Biessy, Carine, Viallon, Vivian, Goncalves-Soares, Ana, Casagrande, Corinne, Hémon, Bertrand, Kliemann, Nathalie, Cairat, Manon, Blanco Lopez, Jessica, Al Nahas, Aline, Chang, Kiara, Vamos, Eszter, Rauber, Fernanda, Bertazzi Levy, Renata, Barbosa Cunha, Diana, Jakszyn, Paula, Ferrari, Pietro, Vineis, Paolo, Masala, Giovanna, Catalano, Alberto, Sonestedt, Emily, Borné, Yan, Katzke, Verena, Bajracharya, Rashmita, Agnoli, Claudia, Guevara, Marcela, Heath, Alicia, Radoï, Loredana, Mancini, Francesca, Weiderpass, Elisabete, Huerta, José María, Sánchez, María-José, Tjønneland, Anne, Kyrø, Cecilie, Schulze, Matthias B, Skeie, Guri, Lukic, Marko, Braaten, Tonje, Gunter, Marc, Millett, Christopher, Agudo, Antonio, Brennan, Paul, Borges, M Carolina, Richmond, Rebecca C, Richardson, Tom G, Davey Smith, George, Relton, Caroline L, and Huybrechts, Inge

Abstract

Objectives The risk of suicidal behavior after discharge from psychiatric admission is high. The aim of this study was to examine whether the SAFE intervention, an implementation of a systematic safer discharge procedure, was associated with a reduction in suicidal behavior after discharge. Methods The SAFE intervention was implemented at Mental Health Center Copenhagen in March 2018 and consisted of three systematic discharge procedures: (1) A face-to-face meeting between patient and outpatient staff prior to discharge, (2) A face-to-face meeting within the first week after discharge, and (3) Involvement of relatives. Risk of suicide attempt at six-month post-discharge among patients discharged from the SAFE intervention was compared with patients discharged from comparison mental health centers using propensity score matching. Results 7604 discharges took place at the intervention site, which were 1:1 matched with discharges from comparison sites. During the six months of follow-up, a total of 570 suicide attempts and 25 suicides occurred. The rate of suicide attempt was 11,652 per 100,000 person-years at the SAFE site, while it was 10,530 at comparisons sites. No observable difference in suicide attempt 1.10 (95% CI: 0.89–1.35) or death by suicide (OR = 1.27; 95% CI:0.58–2.81) was found between sites at 6-month follow-up. Conclusion No difference in suicidal behavior between the sites was found in this pragmatic study. High rates of suicidal behavior were found during the 6-months discharge period, which could suggest that a preventive intervention should include support over a longer post-discharge period than the one-week follow-up offered in the SAFE intervention., PURPOSE: To investigate the role of adiposity in the associations between ultra-processed food (UPF) consumption and head and neck cancer (HNC) and oesophageal adenocarcinoma (OAC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.METHODS: Our study included 450,111 EPIC participants. We used Cox regressions to investigate the associations between the consumption of UPFs and HNC and OAC risk. A mediation analysis was performed to assess the role of body mass index (BMI) and waist-to-hip ratio (WHR) in these associations. In sensitivity analyses, we investigated accidental death as a negative control outcome.RESULTS: During a mean follow-up of 14.13 ± 3.98 years, 910 and 215 participants developed HNC and OAC, respectively. A 10% g/d higher consumption of UPFs was associated with an increased risk of HNC (hazard ratio [HR] = 1.23, 95% confidence interval [CI] 1.14-1.34) and OAC (HR = 1.24, 95% CI 1.05-1.47). WHR mediated 5% (95% CI 3-10%) of the association between the consumption of UPFs and HNC risk, while BMI and WHR, respectively, mediated 13% (95% CI 6-53%) and 15% (95% CI 8-72%) of the association between the consumption of UPFs and OAC risk. UPF consumption was positively associated with accidental death in the negative control analysis.CONCLUSIONS: We reaffirmed that higher UPF consumption is associated with greater risk of HNC and OAC in EPIC. The proportion mediated via adiposity was small. Further research is required to investigate other mechanisms that may be at play (if there is indeed any causal effect of UPF consumption on these cancers).

Published
2024

44. Regression modeling on stratified data with the lasso

Author

Ollier, Edouard and Viallon, Vivian

Subjects
Mathematics - Statistics Theory, Statistics - Methodology
Abstract

We consider the estimation of regression models on strata defined using a categorical covariate, in order to identify interactions between this categorical covariate and the other predictors. A basic approach requires the choice of a reference stratum. We show that the performance of a penalized version of this approach depends on this arbitrary choice. We propose a refined approach that bypasses this arbitrary choice, at almost no additional computational cost. Regarding model selection consistency, our proposal mimics the strategy based on an optimal and covariate-specific choice for the reference stratum. Results from an empirical study confirm that our proposal generally outperforms the basic approach in the identification and description of the interactions. An illustration on gene expression data is provided., Comment: 23 pages, 5 figures

Published
2015

45. A SAEM Algorithm for Fused Lasso Penalized Non Linear Mixed Effect Models: Application to Group Comparison in Pharmacokinetic

Author

Ollier, Edouard, Samson, Adeline, Delavenne, Xavier, and Viallon, Vivian

Subjects
Statistics - Computation, Statistics - Methodology, 62F30
Abstract

Non linear mixed effect models are classical tools to analyze non linear longitudinal data in many fields such as population Pharmacokinetic. Groups of observations are usually compared by introducing the group affiliations as binary covariates with a reference group that is stated among the groups. This approach is relatively limited as it allows only the comparison of the reference group to the others. In this work, we propose to compare the groups using a penalized likelihood approach. Groups are described by the same structural model but with parameters that are group specific. The likelihood is penalized with a fused lasso penalty that induces sparsity on the differences between groups for both fixed effects and variances of random effects. A penalized Stochastic Approximation EM algorithm is proposed that is coupled to Alternating Direction Method Multipliers to solve the maximization step. An extensive simulation study illustrates the performance of this algorithm when comparing more than two groups. Then the approach is applied to real data from two pharmacokinetic drug-drug interaction trials.

Published
2015

47. Joint estimation of $K$ related regression models with simple $L_1$-norm penalties

Author

Ollier, Edouard and Viallon, Vivian

Subjects
Statistics - Methodology
Abstract

We propose a new approach, along with refinements, based on $L_1$ penalties and aimed at jointly estimating several related regression models. Its main interest is that it can be rewritten as a weighted lasso on a simple transformation of the original data set. In particular, it does not need new dedicated algorithms and is ready to implement under a variety of regression models, {\em e.g.}, using standard R packages. Moreover, asymptotic oracle properties are derived along with preliminary non-asymptotic results, suggesting good theoretical properties. Our approach is further compared with state-of-the-art competitors under various settings on synthetic data: these empirical results confirm that our approach performs at least similarly to its competitors. As a final illustration, an analysis of road safety data is provided., Comment: 33 pages, 7 figures

Published
2014

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

Author

His, Mathilde, Viallon, Vivian, Dossus, Laure, Schmidt, Julie A., Travis, Ruth C., Gunter, Marc J., Overvad, Kim, Kyrø, Cecilie, Tjønneland, Anne, Lécuyer, Lucie, Rothwell, Joseph A., Severi, Gianluca, Johnson, Theron, Katzke, Verena, Schulze, Matthias B., Masala, Giovanna, Sieri, Sabina, Panico, Salvatore, Tumino, Rosario, Macciotta, Alessandra, Boer, Jolanda M. A., Monninkhof, Evelyn M., Olsen, Karina Standahl, Nøst, Therese H., Sandanger, Torkjel M., Agudo, Antonio, Sánchez, Maria-Jose, Amiano, Pilar, Colorado-Yohar, Sandra M., Ardanaz, Eva, Vidman, Linda, Winkvist, Anna, Heath, Alicia K., Weiderpass, Elisabete, Huybrechts, Inge, and Rinaldi, Sabina

Published
2021
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