Publications

These publications are examples of research made possible with data from CanPath and its regional cohorts.

2024

Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.

Authors: M. Basten, L. A. van Tuijl, K. Y. Pan, A. W. Hoogendoorn, F. Lamers, A. V. Ranchor, J. Dekker, P. Frank, H. Galenkamp, M. J. Knol, N. Noisel, Y. Payette, E. R. Sund, A. H. Zwinderman, L. Portengen, M. I. Geerlings

The researchers aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage individual participant data (IPD) meta-analysis. They proposed a three-step procedure to estimate additive interaction, and illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers incidence during follow-up, and used IPD of six cohorts, including CARTaGENE.

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2024

The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: An individual participant data meta-analysis

Authors: Kuan-Yu Pan, Lonneke van Tuijl , Maartje Basten, Judith J M Rijnhart, Alexander de Graeff, Joost Dekker , Mirjam I Geerlings, Adriaan Hoogendoorn, Adelita V Ranchor, Roel Vermeulen, Lützen Portengen, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T F Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Monika Hollander, Martijn Huisman, Anke Huss, Melanie R Keats, Almar A L Kok, Steinar Krokstad, Flora E van Leeuwen, Annemarie I Luik, Nolwenn Noisel, Yves Payette, Brenda W J H Penninx , Susan Picavet, Ina Rissanen, Annelieke M Roest, Judith G M Rosmalen, Rikje Ruiter, Robert A Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R Sund, Ellen Sweeney, Alison Teyhan, Emma L Twait, Kimberly D van der Willik, Femke Lamers

Researchers investigated how various health behaviors might mediate the relationships between depression, anxiety, and the onset of different types of cancer. They conducted individual participant data meta-analyses using participants from 18 cohorts from the Psychosocial Factors and Cancer Incidence consortium.The cohorts analyzed included the Atlantic Partnership for Tomorrow’s Health, Ontario Health Study, and CARTaGENE. The findings suggested that smoking serves as a mediating factor that connects depression and anxiety with lung cancer and other cancers related to smoking.

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2024

Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis

Authors: Maartje Basten, Kuan-Yu Pan, Lonneke A vanTuijl, Alexander de Graeff, Joost Dekker, Adriaan W Hoogendoorn, Femke Lamers, Adelita V Ranchor, Roel Vermeulen, Lützen Portengen, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T.F. Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Martijn Huisman, Anke Huss, Melanie R. Keats, Almar A.L. Kok, Steinar Krokstad, Flora E. van Leeuwen, Annemarie I. Luik, NolwennNoisel, Yves Payette, Brenda W.J.H. Penninx, Ina Rissanen, Annelieke M. Roest, Judith G.M. Rosmalen, Rikje Ruiter, Robert A. Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R. Sund, Ellen Sweeney, Emma L. Twait, Alison Teyhan, W.M. Monique Verschuren, Kimberly D. van der Willik, Mirjam I. Geerlings

Researchers determined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Data were used from 22 cohorts, including the Ontario Health Study, Atlantic Partnership for Tomorrow’s Health, and CARTaGENE. After exploring 744 combinations of psychosocial factors, the researchers found no evidence that psychosocial factors interacted with or modified health behaviors related to cancer incidence.

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2023

Depression, anxiety, and the risk of cancer: An individual participant data meta-analysis

Authors: Lonneke A van Tuijl, Maartje Basten, Kuan-Yu Pan, Roel Vermeulen, Lützen Portengen, Alexander de Graeff, Joost Dekker, Mirjam I Geerlings, Adriaan Hoogendoorn, Femke Lamers, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T F Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Martijn Huisman, Anke Huss, Trynke R de Jong, Melanie R Keats, Almar A L Kok, Steinar Krokstad, Flora E van Leeuwen, Annemarie I Luik, Nolwenn Noisel, N Charlotte Onland-Moret, Yves Payette, Brenda W J H Penninx, Ina Rissanen, Annelieke M Roest, Rikje Ruiter, Robert A Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R Sund, Ellen Sweeney, Emma L Twait, Alison Teyhan, W M Monique Verschuren, Kimberly D van der Willik, Judith G M Rosmalen, Adelita V Ranchor

Researchers performed meta-analyses within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium to develop a stronger foundation for addressing associations between depression, anxiety, and the incidence of various cancer types. They found that depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers.

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2022

Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry

Authors: Martine Dumont, Nana Weber-Lassalle, Charles Joly-Beauparlant, Corinna Ernst, Arnaud Droit, Bing-Jian Feng, Stéphane Dubois, Annie-Claude Collin-Deschesnes, Penny Soucy, Maxime Vallée, Frédéric Fournier, Audrey Lemaçon, Muriel A Adank, Jamie Allen, Janine Altmüller, Norbert Arnold, Margreet G E M Ausems, Riccardo Berutti, Manjeet K Bolla, Shelley Bull, Sara Carvalho, Sten Cornelissen, Michael R Dufault, Alison M Dunning, Christoph Engel, Andrea Gehrig, Willemina R R Geurts-Giele, Christian Gieger, Jessica Green, Karl Hackmann, Mohamed Helmy, Julia Hentschel, Frans B L Hogervorst, Antoinette Hollestelle, Maartje J Hooning, Judit Horváth, M Arfan Ikram, Silke Kaulfuß, Renske Keeman, Da Kuang, Craig Luccarini, Wolfgang Maier, John W M Martens, Dieter Niederacher, Peter Nürnberg, Claus-Eric Ott, Annette Peters, Paul D P Pharoah, Alfredo Ramirez, Juliane Ramser, Steffi Riedel-Heller, Gunnar Schmidt, Mitul Shah, Martin Scherer, Antje Stäbler, Tim M Strom, Christian Sutter, Holger Thiele, Christi J van Asperen, Lizet van der Kolk, Rob B van der Luijt, Alexander E Volk, Michael Wagner, Quinten Waisfisz, Qin Wang, Shan Wang-Gohrke, Bernhard H F Weber, Genome Of The Netherlands Project, Ghs Study Group, Peter Devilee, Sean Tavtigian, Gary D Bader, Alfons Meindl, David E Goldgar, Irene L Andrulis, Rita K Schmutzler, Douglas F Easton, Marjanka K Schmidt, Eric Hahnen, Jacques Simard

The aim of this study was to perform a large-scale whole-exome sequencing study, followed by a targeted validation, in breast cancer patients and healthy women of European descent. Using data from 920 CARTaGENE participants and four other sources, the researchers identified 20 novel genes with modest association evidence for overall and subtype-specific breast cancers.

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