@article{BotteriPeveriBerstadetal.2022,
  author    = {Botteri, Edoardo and Peveri, Giulia and Berstad, Paula and Bagnardi, Vincenzo and Chen, Sairah L. F. and Sandanger, Torkjel M. and Hoff, Geir and Dahm, Christina C. and Antoniussen, Christian S. and Tjonneland, Anne and Eriksen, Anne Kirstine and Skeie, Guri and Perez-Cornago, Aurora and Huerta, Jose Maria and Jakszyn, Paula and Harlid, Sophia and Sundstroem, Bjoern and Barricarte, Aurelio and Monninkhof, Evelyn M. and Derksen, Jeroen W. G. and Schulze, Matthias Bernd and Bueno-de-Mesquita, Bas and Sanchez, Maria-Jose and Cross, Amanda J. and Tsilidis, Konstantinos K. and De Magistris, Maria Santucci and Kaaks, Rudolf and Katzke, Verena and Rothwell, Joseph A. and Laouali, Nasser and Severi, Gianluca and Amiano, Pilar and Contiero, Paolo and Sacerdote, Carlotta and Goldberg, Marcel and Touvier, Mathilde and Freisling, Heinz and Viallon, Vivian and Weiderpass, Elisabete and Riboli, Elio and Gunter, Marc J. and Jenab, Mazda and Ferrari, Pietro},
  title     = {Changes in lifestyle and risk of colorectal cancer in the European prospective investigation into cancer and nutrition},
  series = {The American journal of gastroenterology : AJG},
  volume    = {118},
  journal   = {The American journal of gastroenterology : AJG},
  number    = {4},
  publisher = {Lippincott Williams \& Wilkins},
  address   = {Philadelphia},
  issn      = {0002-9270},
  doi       = {10.14309/ajg.0000000000002065},
  pages     = {702 -- 711},
  year      = {2022},
  abstract  = {INTRODUCTION: We investigated the impact of changes in lifestyle habits on colorectal cancer (CRC) risk in a multicountry European cohort. METHODS: We used baseline and follow-up questionnaire data from the European Prospective Investigation into Cancer cohort to assess changes in lifestyle habits and their associations with CRC development. We calculated a healthy lifestyle index (HLI) score based on smoking status, alcohol consumption, body mass index, and physical activity collected at the 2 time points. HLI ranged from 0 (most unfavorable) to 16 (most favorable). We estimated the association between HLI changes and CRC risk using Cox regression models and reported hazard ratios (HR) with 95\% confidence intervals (CI). RESULTS: Among 295,865 participants, 2,799 CRC cases were observed over a median of 7.8 years. The median time between questionnaires was 5.7 years. Each unit increase in HLI from the baseline to the follow-up assessment was associated with a statistically significant 3\% lower CRC risk. Among participants in the top tertile at baseline (HLI > 11), those in the bottom tertile at follow-up (HLI <= 9) had a higher CRC risk (HR 1.34; 95\% CI 1.02-1.75) than those remaining in the top tertile. Among individuals in the bottom tertile at baseline, those in the top tertile at follow-up had a lower risk (HR 0.77; 95\% CI 0.59-1.00) than those remaining in the bottom tertile. DISCUSSION: Improving adherence to a healthy lifestyle was inversely associated with CRC risk, while worsening adherence was positively associated with CRC risk. These results justify and support recommendations for healthy lifestyle changes and healthy lifestyle maintenance for CRC prevention.},
  language  = {en}
}
@misc{SaberiHosnijehCasabonneNietersetal.2020,
  author    = {Saberi Hosnijeh, Fatemeh and Casabonne, Delphine and Nieters, Alexandra and Solans, Marta and Naudin, Sabine and Ferrari, Pietro and Mckay, James D. and Benavente, Yolanda and Weiderpass, Elisabete and Freisling, Heinz and Severi, Gianluca and Boutron Ruault, Marie-Christine and Besson, Caroline and Agnoli, Claudia and Masala, Giovanna and Sacerdote, Carlotta and Tumino, Rosario and Huerta, Jose Maria and Amiano, Pilar and Rodriguez-Barranco, Miguel and Bonet, Catalina and Barricarte, Aurelio and Christakoudi, Sofia and Knuppel, Anika and Bueno-de-Mesquita, Bas and Schulze, Matthias Bernd and Kaaks, Rudolf and Canzian, Federico and Spath, Florentin and Jerkeman, Mats and Rylander, Charlotta and Tjonneland, Anne and Olsen, Anja and Borch, Kristin Benjaminsen and Vermeulen, Roel},
  title     = {Association between anthropometry and lifestyle factors and risk of B-cell lymphoma},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {9},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-57356},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-573562},
  pages     = {16},
  year      = {2020},
  abstract  = {To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.},
  language  = {en}
}
@article{RothwellMurphyAleksandrovaetal.2020,
  author    = {Rothwell, Joseph A. and Murphy, Neil and Aleksandrova, Krasimira and Schulze, Matthias Bernd and Bešević, Jelena and Kliemann, Nathalie and Jenab, Mazda and Ferrari, Pietro and Achaintre, David and Gicquiau, Audrey and Vozar, B{\´e}atrice and Scalbert, Augustin and Huybrechts, Inge and Freisling, Heinz and Prehn, Cornelia and Adamski, Jerzy and Cross, Amanda J. and Pala, Valeria Maria and Boutron-Ruault, Marie-Christine and Dahm, Christina C. and Overvad, Kim and Gram, Inger Torhild and Sandanger, Torkjel M. and Skeie, Guri and Jakszyn, Paula and Tsilidis, Kostas K. and Hughes, David J. and van Guelpen, Bethany and Bod{\´e}n, Stina and S{\´a}nchez, Maria-Jos{\´e} and Schmidt, Julie A. and Katzke, Verena and K{\"u}hn, Tilman and Colorado-Yohar, Sandra and Tumino, Rosario and Bueno-de-Mesquita, Bas and Vineis, Paolo and Masala, Giovanna and Panico, Salvatore and Eriksen, Anne Kirstine and Tj{\o}nneland, Anne and Aune, Dagfinn and Weiderpass, Elisabete and Severi, Gianluca and Chaj{\`e}s, V{\´e}ronique and Gunter, Marc J.},
  title     = {Metabolic signatures of healthy lifestyle patterns and colorectal cancer risk in a European cohort},
  series = {Clinical gastroenterology and hepatology},
  volume    = {20},
  journal   = {Clinical gastroenterology and hepatology},
  publisher = {Elsevier},
  address   = {New York, NY},
  issn      = {1542-3565},
  doi       = {10.1016/j.cgh.2020.11.045},
  pages     = {E1061 -- E1082},
  year      = {2020},
  abstract  = {BACKGROUND \& AIMS: Colorectal cancer risk can be lowered by adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) guidelines. We derived metabolic signatures of adherence to these guidelines and tested their associations with colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. METHODS: Scores reflecting adherence to the WCRF/AICR recommendations (scale, 1-5) were calculated from participant data on weight maintenance, physical activity, diet, and alcohol among a discovery set of 5738 cancer-free European Prospective Investigation into Cancer and Nutrition participants with metabolomics data. Partial least-squares regression was used to derive fatty acid and endogenous metabolite signatures of the WCRF/AICR score in this group. In an independent set of 1608 colorectal cancer cases and matched controls, odds ratios (ORs) and 95\% CIs were calculated for colorectal cancer risk per unit increase in WCRF/AICR score and per the corresponding change in metabolic signatures using multivariable conditional logistic regression. RESULTS: Higher WCRF/AICR scores were characterized by metabolic signatures of increased odd-chain fatty acids, serine, glycine, and specific phosphatidylcholines. Signatures were inversely associated more strongly with colorectal cancer risk (fatty acids: OR, 0.51 per unit increase; 95\% CI, 0.29-0.90; endogenous metabolites: OR, 0.62 per unit change; 95\% CI, 0.50-0.78) than the WCRF/AICR score (OR, 0.93 per unit change; 95\% CI, 0.86-1.00) overall. Signature associations were stronger in male compared with female participants. CONCLUSIONS: Metabolite profiles reflecting adherence to WCRF/AICR guidelines and additional lifestyle or biological risk factors were associated with colorectal cancer. Measuring a specific panel of metabolites representative of a healthy or unhealthy lifestyle may identify strata of the population at higher risk of colorectal cancer.},
  language  = {en}
}
@article{SaberiHosnijehCasabonneNietersetal.2020,
  author    = {Saberi Hosnijeh, Fatemeh and Casabonne, Delphine and Nieters, Alexandra and Solans, Marta and Naudin, Sabine and Ferrari, Pietro and Mckay, James D. and Benavente, Yolanda and Weiderpass, Elisabete and Freisling, Heinz and Severi, Gianluca and Boutron Ruault, Marie-Christine and Besson, Caroline and Agnoli, Claudia and Masala, Giovanna and Sacerdote, Carlotta and Tumino, Rosario and Huerta, Jose Maria and Amiano, Pilar and Rodriguez-Barranco, Miguel and Bonet, Catalina and Barricarte, Aurelio and Christakoudi, Sofia and Knuppel, Anika and Bueno-de-Mesquita, Bas and Schulze, Matthias Bernd and Kaaks, Rudolf and Canzian, Federico and Spath, Florentin and Jerkeman, Mats and Rylander, Charlotta and Tjonneland, Anne and Olsen, Anja and Borch, Kristin Benjaminsen and Vermeulen, Roel},
  title     = {Association between anthropometry and lifestyle factors and risk of B-cell lymphoma},
  series = {International journal of cancer},
  volume    = {148},
  journal   = {International journal of cancer},
  number    = {9},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0020-7136},
  doi       = {10.1002/ijc.33369},
  pages     = {2115 -- 2128},
  year      = {2020},
  abstract  = {To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.},
  language  = {en}
}