296 results on '"Myte, Robin"'
Search Results
2. A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk
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Harlid, Sophia, Harbs, Justin, Myte, Robin, Brunius, Carl, Gunter, Marc J., Palmqvist, Richard, Liu, Xijia, and Van Guelpen, Bethany
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- 2021
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3. Heterogeneity of Colorectal Cancer Risk Factors by Anatomical Subsite in 10 European Countries: A Multinational Cohort Study
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Murphy, Neil, Ward, Heather A., Jenab, Mazda, Rothwell, Joseph A., Boutron-Ruault, Marie-Christine, Carbonnel, Franck, Kvaskoff, Marina, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Aleksandrova, Krasimira, Weiderpass, Elisabete, Skeie, Guri, Borch, Kristin Benjaminsen, Tjønneland, Anne, Kyrø, Cecilie, Overvad, Kim, Dahm, Christina C., Jakszyn, Paula, Sánchez, Maria-Jose, Gil, Leire, Huerta, José M., Barricarte, Aurelio, Quirós, J. Ramón, Khaw, Kay-Tee, Wareham, Nick, Bradbury, Kathryn E., Trichopoulou, Antonia, La Vecchia, Carlo, Karakatsani, Anna, Palli, Domenico, Grioni, Sara, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno-de-Mesquita, Bas, Peeters, Petra H., Gylling, Björn, Myte, Robin, Jirström, Karin, Berntsson, Jonna, Xue, Xiaonan, Riboli, Elio, Cross, Amanda J., and Gunter, Marc J.
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- 2019
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4. Discovery of common and rare genetic risk variants for colorectal cancer
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Huyghe, Jeroen R., Bien, Stephanie A., Harrison, Tabitha A., Kang, Hyun Min, Chen, Sai, Schmit, Stephanie L., Conti, David V., Qu, Conghui, Jeon, Jihyoun, Edlund, Christopher K., Greenside, Peyton, Wainberg, Michael, Schumacher, Fredrick R., Smith, Joshua D., Levine, David M., Nelson, Sarah C., Sinnott-Armstrong, Nasa A., Albanes, Demetrius, Alonso, M. Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Bamia, Christina, Banbury, Barbara L., Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Boehm, Juergen, Boeing, Heiner, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D., Burnett-Hartman, Andrea, Butterbach, Katja, Caan, Bette J., Campbell, Peter T., Carlson, Christopher S., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chirlaque, Maria-Dolores, Cho, Sang Hee, Connolly, Charles M., Cross, Amanda J., Cuk, Katarina, Curtis, Keith R., de la Chapelle, Albert, Doheny, Kimberly F., Duggan, David, Easton, Douglas F., Elias, Sjoerd G., Elliott, Faye, English, Dallas R., Feskens, Edith J. M., Figueiredo, Jane C., Fischer, Rocky, FitzGerald, Liesel M., Forman, David, Gala, Manish, Gallinger, Steven, Gauderman, W. James, Giles, Graham G., Gillanders, Elizabeth, Gong, Jian, Goodman, Phyllis J., Grady, William M., Grove, John S., Gsur, Andrea, Gunter, Marc J., Haile, Robert W., Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Hayes, Richard B., Hofer, Philipp, Hoffmeister, Michael, Hopper, John L., Hsu, Wan-Ling, Huang, Wen-Yi, Hudson, Thomas J., Hunter, David J., Ibañez-Sanz, Gemma, Idos, Gregory E., Ingersoll, Roxann, Jackson, Rebecca D., Jacobs, Eric J., Jenkins, Mark A., Joshi, Amit D., Joshu, Corinne E., Keku, Temitope O., Key, Timothy J., Kim, Hyeong Rok, Kobayashi, Emiko, Kolonel, Laurence N., Kooperberg, Charles, Kühn, Tilman, Küry, Sébastien, Kweon, Sun-Seog, Larsson, Susanna C., Laurie, Cecelia A., Le Marchand, Loic, Leal, Suzanne M., Lee, Soo Chin, Lejbkowicz, Flavio, Lemire, Mathieu, Li, Christopher I., Li, Li, Lieb, Wolfgang, Lin, Yi, Lindblom, Annika, Lindor, Noralane M., Ling, Hua, Louie, Tin L., Männistö, Satu, Markowitz, Sanford D., Martín, Vicente, Masala, Giovanna, McNeil, Caroline E., Melas, Marilena, Milne, Roger L., Moreno, Lorena, Murphy, Neil, Myte, Robin, Naccarati, Alessio, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Onland-Moret, N. Charlotte, Pardini, Barbara, Parfrey, Patrick S., Pearlman, Rachel, Perduca, Vittorio, Pharoah, Paul D. P., Pinchev, Mila, Platz, Elizabeth A., Prentice, Ross L., Pugh, Elizabeth, Raskin, Leon, Rennert, Gad, Rennert, Hedy S., Riboli, Elio, Rodríguez-Barranco, Miguel, Romm, Jane, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Seminara, Daniela, Shah, Mitul, Shelford, Tameka, Shin, Min-Ho, Shulman, Katerina, Sieri, Sabina, Slattery, Martha L., Southey, Melissa C., Stadler, Zsofia K., Stegmaier, Christa, Su, Yu-Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Thomas, Sushma S., Toland, Amanda E., Trichopoulou, Antonia, Ulrich, Cornelia M., Van Den Berg, David J., van Duijnhoven, Franzel J. B., Van Guelpen, Bethany, van Kranen, Henk, Vijai, Joseph, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Win, Aung Ko, Wolf, C. Roland, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zaidi, Syed H., Zanke, Brent W., Zhang, Qing, Zheng, Wei, Scacheri, Peter C., Potter, John D., Bassik, Michael C., Kundaje, Anshul, Casey, Graham, Moreno, Victor, Abecasis, Goncalo R., Nickerson, Deborah A., Gruber, Stephen B., Hsu, Li, and Peters, Ulrike
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- 2019
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5. Genetic variation in the ADIPOQ gene, adiponectin concentrations and risk of colorectal cancer: a Mendelian Randomization analysis using data from three large cohort studies
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Nimptsch, Katharina, Song, Mingyang, Aleksandrova, Krasimira, Katsoulis, Michail, Freisling, Heinz, Jenab, Mazda, Gunter, Marc J., Tsilidis, Konstantinos K., Weiderpass, Elisabete, Bueno-De-Mesquita, H. Bas, Chong, Dawn Q., Jensen, Majken K., Wu, Chunsen, Overvad, Kim, Kühn, Tilman, Barrdahl, Myrto, Melander, Olle, Jirström, Karin, Peeters, Petra H., Sieri, Sabina, Panico, Salvatore, Cross, Amanda J., Riboli, Elio, Van Guelpen, Bethany, Myte, Robin, Huerta, José María, Rodriguez-Barranco, Miguel, Quirós, José Ramón, Dorronsoro, Miren, Tjønneland, Anne, Olsen, Anja, Travis, Ruth, Boutron-Ruault, Marie-Christine, Carbonnel, Franck, Severi, Gianluca, Bonet, Catalina, Palli, Domenico, Janke, Jürgen, Lee, Young-Ae, Boeing, Heiner, Giovannucci, Edward L., Ogino, Shuji, Fuchs, Charles S., Rimm, Eric, Wu, Kana, Chan, Andrew T., and Pischon, Tobias
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- 2017
6. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses
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Seyed Khoei, Nazlisadat, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-de-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Chirlaque, Maria-Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín, Vicente, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl-Heinz, and Freisling, Heinz
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- 2020
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7. A longitudinal study of prediagnostic metabolic biomarkers and the risk of molecular subtypes of colorectal cancer
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Myte, Robin, Harlid, Sophia, Sundkvist, Anneli, Gylling, Björn, Häggström, Jenny, Zingmark, Carl, Burström, Anna Löfgren, Palmqvist, Richard, and Guelpen, Bethany Van
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- 2020
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8. Maternal blood folate status during early pregnancy and occurrence of autism spectrum disorder in offspring: a study of 62 serum biomarkers
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Egorova, Olga, Myte, Robin, Schneede, Jörn, Hägglöf, Bruno, Bölte, Sven, Domellöf, Erik, Ivars A’roch, Barbro, Elgh, Fredrik, Ueland, Per Magne, and Silfverdal, Sven-Arne
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- 2020
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9. Plasma concentrations of gut hormones acyl ghrelin and peptide YY and subsequent risk of colorectal cancer and molecular tumor subtypes
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Bodén, Stina, Harbs, Justin, Sundkvist, Anneli, Fuchs, Klara, Myte, Robin, Gylling, Björn, Zingmark, Carl, Löfgren Burström, Anna, Palmqvist, Richard, Harlid, Sophia, van Guelpen, Bethany, Bodén, Stina, Harbs, Justin, Sundkvist, Anneli, Fuchs, Klara, Myte, Robin, Gylling, Björn, Zingmark, Carl, Löfgren Burström, Anna, Palmqvist, Richard, Harlid, Sophia, and van Guelpen, Bethany
- Abstract
Obesity and metabolic dysfunction are implicated in colorectal cancer development. Appetite-regulating gut hormones might have a role in colorectal cancer risk. We investigated whether circulating levels of the gut hormones ghrelin (analyzed as acyl ghrelin) and Peptide YY (PYY) were associated with subsequent colorectal cancer risk, including clinical and molecular tumor subtypes. We also provide descriptive data on these hormones in relation to background participant characteristics and metabolic biomarkers. This population-based study included 1,010 matched case-control pairs with a median of 12.3 years of follow-up. Acyl ghrelin and PYY were measured by multiplex immunoassay. Data on KRAS and BRAF mutations and microsatellite instability (MSI) status were available for 704 and 708 cases, respectively. Conditional logistic regression models estimated association to colorectal cancer risk. Partial correlation and linear regression were used to investigate relationships between background and metabolic variables and variation in plasma gut hormone concentrations. Acyl ghrelin was not clearly associated with colorectal cancer risk (multivariable OR per 1 SD increase: 1.11; 95% CI, 1.00-1.23). Positive associations were observed for specific subtypes, in particular BRAF-mutated colorectal cancer and right-sided colon cancer, although with nonsignificant heterogeneity. PYY was not related to colorectal cancer risk (multivariable OR per 1 SD: 1.04; 95% CI, 0.95-1.14) or any tumor subtype. In the control participants, ghrelin was inversely correlated with BMI, and PYY was positively correlated with C-peptide and insulin levels. These findings provide limited support for a possible role for ghrelin in colorectal cancer development, primarily in specific anatomical and molecular tumor subtypes. PREVENTION RELEVANCE: The findings of this study do not support a major role for the metabolic gut hormones ghrelin and PYY in colorectal cancer development but suggest the possibi
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- 2023
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10. Components of One-carbon Metabolism Other than Folate and Colorectal Cancer Risk
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Myte, Robin, Gylling, Björn, Schneede, Jörn, Ueland, Per Magne, Häggström, Jenny, Hultdin, Johan, Hallmans, Göran, Johansson, Ingegerd, Palmqvist, Richard, and Van Guelpen, Bethany
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- 2016
11. Plasma Concentrations of Gut Hormones Acyl Ghrelin and Peptide YY and Subsequent Risk of Colorectal Cancer and Molecular Tumor Subtypes
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Bodén, Stina, primary, Harbs, Justin, additional, Sundkvist, Anneli, additional, Fuchs, Klara, additional, Myte, Robin, additional, Gylling, Björn, additional, Zingmark, Carl, additional, Löfgren Burström, Anna, additional, Palmqvist, Richard, additional, Harlid, Sophia, additional, and Van Guelpen, Bethany, additional
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- 2022
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12. Antibiotics Use and Subsequent Risk of Colorectal Cancer : A Swedish Nationwide Population-Based Study
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Lu, Sai San Moon, Mohammed, Zahraa, Häggström, Christel, Myte, Robin, Lindquist, Elisabeth, Gylfe, Asa, Van Guelpen, Bethany, Harlid, Sophia, Lu, Sai San Moon, Mohammed, Zahraa, Häggström, Christel, Myte, Robin, Lindquist, Elisabeth, Gylfe, Asa, Van Guelpen, Bethany, and Harlid, Sophia
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Background: Antibiotics use may increase colorectal cancer (CRC) risk by altering the gut microbiota, with suggestive evidence reported. Our study aims to investigate antibiotics use in relation to subsequent CRC risk. Methods: This is a nationwide, population-based study with a matched case-control design (first primary CRC cases and 5 matched, cancer-free controls). Complete-population data, extracted from Swedish national registers for the period 2005-2016, were used to calculate odds ratios and 95% confidence intervals. Results: We included 40 545 CRC cases and 202 720 controls. Using the full dataset, we found a positive association between more frequent antibiotics use and CRC, excluding antibiotics prescribed within 2 years of diagnosis attenuated results toward the null. In site-specific analyses, excluding the 2-year washout, the positive association was confined to the proximal colon (adjusted odds ratio for very high use vs no use = 1.17, 95% confidence interval = 1.05 to 1.31). For rectal cancer, an inverse association, which appears to be driven by women, was observed. Quinolones and sulfonamides and/or trimethoprims were positively associated with proximal colon cancer, whereas a more general inverse association, across antibiotics classes, was observed for rectal cancer. We found no association between methenamine hippurate, a urinary tract antiseptic not affecting the gut microbiota, and CRC risk. Conclusions: This registerbased study covering the entire population of Sweden found a robust association between antibiotics use and higher risk of proximal colon cancer and an inverse association with rectal cancer in women. This study strengthens the evidence from previous investigations and adds important insight into site-specific colorectal carcinogenesis.
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- 2022
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13. Work-Related Stress Was Not Associated with Increased Cancer Risk in a Population-Based Cohort Setting
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Hadrévi, Jenny, primary, Myte, Robin, additional, Olsson, Tommy, additional, Palmqvist, Richard, additional, Slunga Järvholm, Lisbeth, additional, and Van Guelpen, Bethany, additional
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- 2021
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14. Antibiotics Use and Subsequent Risk of Colorectal Cancer: A Swedish Nationwide Population-Based Study
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Lu, Sai San Moon, primary, Mohammed, Zahraa, additional, Häggström, Christel, additional, Myte, Robin, additional, Lindquist, Elisabeth, additional, Gylfe, Åsa, additional, Van Guelpen, Bethany, additional, and Harlid, Sophia, additional
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- 2021
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15. Work-Related Stress Was Not Associated with Increased Cancer Risk in a Population-Based Cohort Setting
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Hadrévi, Jenny, Myte, Robin, Olsson, Tommy, Palmqvist, Richard, Slunga-Järvholm, Lisbeth, van Guelpen, Bethany, Hadrévi, Jenny, Myte, Robin, Olsson, Tommy, Palmqvist, Richard, Slunga-Järvholm, Lisbeth, and van Guelpen, Bethany
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Background: Stress is a commonly perceived cause of cancer, but the evidence to date is limited and inconclusive. We examined work-related stress in relation to cancer incidence in a population-based cohort, with outcome data from Swedish national registries. Methods: The study population included 113,057 participants in the Västerbotten Intervention Programme. HRs were estimated using Cox proportional hazards regression, for cancer overall and for types with ≥500 cases, and adjusting for several potential confounders. The primary exposure was prediagnostic work-related stress, using the well established Karasek job demand/control model. Demand and control variables were dichotomized at the median, and participants were classified according to combinations of these categories. We also considered social network and aspects of quality of life. Results: "High-strain" work (high demand/low control) was not associated with cancer risk compared with "low-strain" work (low demand/high control): multivariable HR 1.01 [95% confidence interval (CI), 0.94-1.08] for men and 0.99 (95% CI, 0.92-1.07) for women. Results were also null for most cancer types assessed: prostate, breast, colorectal, lung, and gastrointestinal (GI). The risk of GI cancer was lower for "passive" (low demand/low control) versus "low-strain" work, particularly for colorectal cancer in women: multivariable HR 0.71 (95% CI, 0.55-0.91), but statistical significance was lost after adjustment for multiple testing. Conclusions: The findings of this population-based, cohort study do not support a role for work-related stress in determining cancer risk. Impact: This study helps fill an important knowledge gap given the common concern about stress as a risk factor for cancer.
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- 2021
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16. RATIONALE AND DESIGN FOR A PHASE 2 TRIAL OF VERINURAD PLUS ALLOPURINOL IN PATIENTS WITH HEART FAILURE WITH PRESERVED EJECTION FRACTION AND HYPERURICEMIA
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Kitzman, Dalane W., primary, Voors, Adriaan, additional, Mentz, Robert, additional, Lewis, Gregory, additional, Perl, Shira, additional, Myte, Robin, additional, Björck, Karin, additional, Erlandsson, Fredrik, additional, and Shah, Sanjiv, additional
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- 2021
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17. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses
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Khoei, Nazlisadat Seyed, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno de Mesquita, H. Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet Bonet, Catalina, Rodríguez Barranco, Miguel, Gil, Leire, Chirlaque, María Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Pérez Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Marchand, Loïc Le, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín Sánchez, Vicente, Moreno Aguado, Víctor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl-Heinz, Freisling, Heinz, Apollo - University of Cambridge Repository, and Pharoah, Paul [0000-0001-8494-732X]
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Adult ,Male ,Nutrition and Disease ,Mendelian randomization analysis ,lcsh:Medicine ,Polymorphism, Single Nucleotide ,Antioxidants ,Càncer colorectal ,Risk Factors ,Voeding en Ziekte ,Humans ,Prospective Studies ,VLAG ,Cancer ,Aged ,lcsh:R ,Bilirubin ,Middle Aged ,Colorectal cancer ,Europe ,Case-Control Studies ,Anti-oxidants ,Female ,Colorectal Neoplasms ,Research Article - Abstract
Background: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. Methods: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10−8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. Results: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04–1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76–0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02–1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96–1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (Pheterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.
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- 2020
18. MOESM4 of Maternal blood folate status during early pregnancy and occurrence of autism spectrum disorder in offspring: a study of 62 serum biomarkers
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Egorova, Olga, Myte, Robin, Schneede, Jörn, Hägglöf, Bruno, Bölte, Sven, Domellöf, Erik, A’roch, Barbro Ivars, Elgh, Fredrik, Ueland, Per, and Sven-Arne Silfverdal
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Additional file 4: Table S1. List of serum metabolites that were analyzed and used in further analysis. 1Only sum of THM and mTHM were included in the analysis as ‘total folate’. 2The sums of the Asparagine and Aspartic acid and the f Glutamine and Glutamic acid levels were used in statistical analysis because of conversion between this forms in the stored samples. In the whole 45 biomarkers could be identified and included in the analysis.
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- 2020
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19. Additional file 5 of Maternal blood folate status during early pregnancy and occurrence of autism spectrum disorder in offspring: a study of 62 serum biomarkers
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Egorova, Olga, Myte, Robin, Schneede, Jörn, Hägglöf, Bruno, Bölte, Sven, Domellöf, Erik, A’roch, Barbro Ivars, Elgh, Fredrik, Ueland, Per, and Sven-Arne Silfverdal
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mental disorders - Abstract
Additional file 5: Table S2. Differences of biomarkers levels between mothers of children with infantile autism and Asperger’s syndrome.
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- 2020
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20. Additional file 4 of Maternal blood folate status during early pregnancy and occurrence of autism spectrum disorder in offspring: a study of 62 serum biomarkers
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Egorova, Olga, Myte, Robin, Schneede, Jörn, Hägglöf, Bruno, Bölte, Sven, Domellöf, Erik, A’roch, Barbro Ivars, Elgh, Fredrik, Ueland, Per, and Sven-Arne Silfverdal
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Additional file 4: Table S1. List of serum metabolites that were analyzed and used in further analysis. 1Only sum of THM and mTHM were included in the analysis as ‘total folate’. 2The sums of the Asparagine and Aspartic acid and the f Glutamine and Glutamic acid levels were used in statistical analysis because of conversion between this forms in the stored samples. In the whole 45 biomarkers could be identified and included in the analysis.
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- 2020
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21. Additional file 1 of Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses
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Nazlisadat Seyed Khoei, Mazda Jenab, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-De-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Marie-Christine Boutron-Ruault, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Maria-Dolores Chirlaque, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Loic Le Marchand, Li, Christopher I., Li, Li, Lindblom, Annika, Noralane M. Lindor, Martín, Vicente, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., Franzel J. B. Van Duijnhoven, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Xuehong Zhang, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Karl-Heinz Wagner, and Freisling, Heinz
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Additional file 1 Supplementary tables 1–6, supplementary figures 1–3, supplementary text 1. Suppl. table 1 - Summary statistics for the genetic association with bilirubin levels, and sex-stratified colorectal cancer risk. Suppl. table 2 - Participating studies in the genetic consortia (GECCO/ CCFR/ and CORECT). Suppl. table 3 - Associations between unconjugated bilirubin (UCB) levels and colorectal cancer risk after different sensitivity analyses in the EPIC study. Suppl. table 4 - Results for the Mendelian randomization sensitivity analyses. Suppl. table 5 - Results for the Mendelian randomization sensitivity analyses: positive control outcomes for pancreatic cancer. Suppl. table 6 - Results for genome-wide associations of instruments with other phenotypes. Suppl. figure 1 - Cubic spline modeling of unconjugated bilirubin (UCB) levels in relation to colorectal cancer risk in the EPIC study. Suppl. figure 2 - Association between UGT1A1 polymorphism (rs6431625) and unconjugated bilirubin (UCB) levels in the EPIC study (with available GWAS data). Suppl. figure 3 - Directed acyclic graph (DAG) of the causal structure of associations between unconjugated bilirubin (UCB) levels in relation to colorectal cancer risk in the EPIC study. Suppl. text 1 - Specific funding sources and acknowledgements of participating studies.
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22. Additional file 3 of Maternal blood folate status during early pregnancy and occurrence of autism spectrum disorder in offspring: a study of 62 serum biomarkers
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Egorova, Olga, Myte, Robin, Schneede, Jörn, Hägglöf, Bruno, Bölte, Sven, Domellöf, Erik, A’roch, Barbro Ivars, Elgh, Fredrik, Ueland, Per, and Sven-Arne Silfverdal
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Additional file 3: Figure S3. Biomarker levels in each study participant, with a hierarchical cluster analysis based on Euclidian distances with complete linkage. Each column represents a participant and each row a biomarker. Heat map colors represent standardized log-transformed biomarker levels in all participants (red) and below mean biamarker levels (blue).
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- 2020
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23. C-reactive Protein and Future Risk of Clinical and Molecular Subtypes of Colorectal Cancer
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Bodén, Stina, Myte, Robin, Harbs, Justin, Sundkvist, Anneli, Zingmark, Carl, Löfgren Burström, Anna, Palmqvist, Richard, Harlid, Sophia, van Guelpen, Bethany, Bodén, Stina, Myte, Robin, Harbs, Justin, Sundkvist, Anneli, Zingmark, Carl, Löfgren Burström, Anna, Palmqvist, Richard, Harlid, Sophia, and van Guelpen, Bethany
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Background: Inflammation has been implicated in colorectal cancer etiology, but the relationship between C-reactive protein (CRP) and colorectal cancer risk is unclear. We aimed to investigate the association between prediagnostic plasma CRP concentrations and the risk of clinical and molecular colorectal cancer subtypes. Methods: We used prospectively collected samples from 1,010 matched colorectal cancer case-control pairs from two population-based cohorts in Northern Sweden, including 259 with repeated samples. Conditional logistic regression and linear mixed models were used to estimate relative risks of colorectal cancer, including subtypes based on BRAF and KRAS mutations, microsatellite instability status, tumor location, stage, lag time, and (using unconditional logistic regression) body mass index. Results: CRP was not associated with colorectal cancer risk, regardless of clinical or molecular colorectal cancer subtype. For participants with advanced tumors and blood samples <5 years before diagnosis, CRP was associated with higher risk [OR per 1 unit increase in natural logarithm (In) transformed CRP, 1.32; 95% confidence interval (CI), 1.01-1.73]. CRP levels increased over time, but average time trajectories were similar for cases and controls (P-interaction = 0.19). Conclusions: Our results do not support intertumoral heterogeneity as an explanation for previous inconsistent findings regarding the role of CRP in colorectal cancer etiology. The possible association in the subgroup with advanced tumors and shorter follow-up likely reflects undiagnosed cancer at baseline. Impact: Future efforts to establish the putative role of chronic, low-grade inflammation in colorectal cancer development will need to address the complex relationship between systemic inflammatory factors and tumor microenvironment, and might consider larger biomarker panels than CRP alone.
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- 2020
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24. Body composition measured by computed tomography is associated with colorectal cancer survival, also in early-stage disease
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Shirdel, Mona, Anderson, Fredrick, Myte, Robin, Axelsson, Jan, Rutegård, Martin, Blomqvist, Lennart, Riklund, Katrine, van Guelpen, Bethany, Palmqvist, Richard, Gylling, Björn, Shirdel, Mona, Anderson, Fredrick, Myte, Robin, Axelsson, Jan, Rutegård, Martin, Blomqvist, Lennart, Riklund, Katrine, van Guelpen, Bethany, Palmqvist, Richard, and Gylling, Björn
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Background: Cachexia and sarcopenia are associated with poor survival after colorectal cancer (CRC) diagnosis. Computed tomography (CT) can be used to measure aspects of cachexia including sarcopenia, myosteatosis and the amount of subcutaneous and visceral adipose tissue. The aim of this study was to relate CT-based body composition variables with survival outcomes in CRC. Material and methods: In this population-based, retrospective cohort study, CT scans of 974 patients with pathological stages I-IV CRCs, collected at or very near diagnosis (years 2000-2016), were used to measure cross-sectional fat and muscle tissue areas. Body composition variables based on these measurements were assessed in relation to tumor stage and site and cancer-specific survival in stages I-III CRC (n = 728) using Cox proportional hazards models and Kaplan-Meier estimators. Results: Sarcopenia was associated with decreased cancer-specific survival, especially in patients with stages I-II tumors. The hazard ratio (HR) for the lowest versus highest tertile of skeletal muscle index (SMI) was 1.67; 95% confidence interval (CI), 1.08-2.58 for all stages, and HR 2.22; 95% CI 1.06-4.68, for stages I-II. Myosteatosis was also associated with decreased cancer-specific survival [(HR 2.03; 95% CI 1.20-3.34 for the lowest versus the highest tertile of skeletal muscle radiodensity (SMR)]. SMI and SMR were lower in patients with right-sided CRC, independent of age and sex. No adipose tissue measurement was significantly associated with cancer-specific survival. Conclusion: In concordance with previous studies, sarcopenia and myosteatosis were associated with decreased cancer-specific survival. The strong association between sarcopenia and poor cancer-specific survival in early-stage disease could have clinical implications for personalizing therapy decisions, including nutritional support.
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- 2020
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25. Ex Vivo Organoid Cultures Reveal the Importance of the Tumor Microenvironment for Maintenance of Colorectal Cancer Stem Cells
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Li, Xingru, Larsson, Pär, Ljuslinder, Ingrid, Öhlund, Daniel, Myte, Robin, Löfgren Burström, Anna, Zingmark, Carl, Ling, Agnes, Edin, Sofia, Palmqvist, Richard, Li, Xingru, Larsson, Pär, Ljuslinder, Ingrid, Öhlund, Daniel, Myte, Robin, Löfgren Burström, Anna, Zingmark, Carl, Ling, Agnes, Edin, Sofia, and Palmqvist, Richard
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Colorectal cancer (CRC) is a heterogeneous disease, with varying clinical presentations and patient prognosis. Different molecular subgroups of CRC should be treated differently and therefore, must be better characterized. Organoid culture has recently been suggested as a good model to reflect the heterogeneous nature of CRC. However, organoid cultures cannot be established from all CRC tumors. The study examines which CRC tumors are more likely to generate organoids and thus benefit from ex vivo organoid drug testing. Long-term organoid cultures from 22 out of 40 CRC tumor specimens were established. It was found that organoid cultures were more difficult to establish from tumors characterized as microsatellite instable (MSI), BRAF-mutated, poorly differentiated and/or of a mucinous type. This suggests that patients with such tumors are less likely to benefit from ex vivo organoid drug testing, but it may also suggest biological difference in tumor growth. RNA sequencing analysis of tumor sections revealed that the in vivo maintenance of these non-organoid-forming tumors depends on factors related to inflammation and pathogen exposure. Furthermore, using TCGA data we could show a trend towards a worse prognosis for patients with organoid-forming tumors, suggesting also clinical differences. Results suggest that organoids are more difficult to establish from tumors characterized as MSI, BRAF-mutated, poorly differentiated and/or of a mucinous type. We further suggest that the maintenance of cell growth of these tumors in vivo may be promoted by immune-related factors and other stromal components within the tumor microenvironment.
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- 2020
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26. Circulating bilirubin levels and risk of colorectal cancer:serological and Mendelian randomization analyses
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Seyed Khoei, Nazlisadat, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-de-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Chirlaque, Maria Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín, Vicente, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D.P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J.B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl Heinz, Freisling, Heinz, Seyed Khoei, Nazlisadat, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-de-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Chirlaque, Maria Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín, Vicente, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D.P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J.B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl Heinz, and Freisling, Heinz
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BACKGROUND: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs64316
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27. Abstract 1055: Antibiotic use and risk of colorectal cancer: A Swedish population-based registry study
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Lu, Sai San Moon, primary, Mohammed, Zahraa, additional, Häggström, Christel, additional, Myte, Robin, additional, Lindquist, Elisabeth, additional, Gylfe, Åsa, additional, Van Guelpen, Bethany, additional, and Harlid, Sophia, additional
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- 2020
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28. Abstract 2353: A two-tiered targeted proteomics approach to identify biomarkers of colorectal cancer risk
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Harlid, Sophia, primary, Harbs, Justin, additional, Myte, Robin, additional, Brunius, Carl, additional, Gunter, Marc, additional, Liu, Xijia, additional, Palmqvist, Richard, additional, and Van Guelpen, Bethany, additional
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- 2020
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29. C-reactive Protein and Future Risk of Clinical and Molecular Subtypes of Colorectal Cancer
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Bodén, Stina, primary, Myte, Robin, additional, Harbs, Justin, additional, Sundkvist, Anneli, additional, Zingmark, Carl, additional, Löfgren Burström, Anna, additional, Palmqvist, Richard, additional, Harlid, Sophia, additional, and Van Guelpen, Bethany, additional
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- 2020
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30. Ex Vivo Organoid Cultures Reveal the Importance of the Tumor Microenvironment for Maintenance of Colorectal Cancer Stem Cells
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Li, Xingru, primary, Larsson, Pär, additional, Ljuslinder, Ingrid, additional, Öhlund, Daniel, additional, Myte, Robin, additional, Löfgren-Burström, Anna, additional, Zingmark, Carl, additional, Ling, Agnes, additional, Edin, Sofia, additional, and Palmqvist, Richard, additional
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- 2020
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31. Body composition measured by computed tomography is associated with colorectal cancer survival, also in early-stage disease
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Shirdel, Mona, primary, Andersson, Fredrick, additional, Myte, Robin, additional, Axelsson, Jan, additional, Rutegård, Martin, additional, Blomqvist, Lennart, additional, Riklund, Katrine, additional, van Guelpen, Bethany, additional, Palmqvist, Richard, additional, and Gylling, Björn, additional
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- 2020
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32. Work-Related Stress Was Not Associated with Increased Cancer Risk in a Population-Based Cohort Setting.
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Hadrévi, Jenny, Myte, Robin, Olsson, Tommy, Palmqvist, Richard, Järvholm, Lisbeth Slunga, and Van Guelpen, Bethany
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Background: Stress is a commonly perceived cause of cancer, but the evidence to date is limited and inconclusive. We examined work-related stress in relation to cancer incidence in a population-based cohort, with outcome data from Swedish national registries. Methods: The study population included 113,057 participants in the Västerbotten Intervention Programme. HRs were estimated using Cox proportional hazards regression, for cancer overall and for types with =500 cases, and adjusting for several potential confounders. The primary exposure was prediagnostic work-related stress, using the well established Karasek job demand/control model. Demand and control variables were dichotomized at the median, and participants were classified according to combinations of these categories. We also considered social network and aspects of quality of life. Results: "High-strain" work (high demand/low control) was not associated with cancer risk compared with "low-strain" work (low demand/high control): multivariable HR 1.01 [95% confidence interval (CI), 0.94-1.08] for men and 0.99 (95% CI, 0.92-1.07) for women. Results were also null for most cancer types assessed: prostate, breast, colorectal, lung, and gastrointestinal (GI). The risk of GI cancer was lower for "passive" (low demand/low control) versus "low-strain" work, particularly for colorectal cancer in women: multivariable HR 0.71 (95% CI, 0.55-0.91), but statistical significance was lost after adjustment for multiple testing. Conclusions: The findings of this population-based, cohort study do not support a role for work-related stress in determining cancer risk. Impact: This study helps fill an important knowledge gap given the common concern about stress as a risk factor for cancer. [ABSTRACT FROM AUTHOR]
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- 2022
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33. Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status
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Myte, Robin, Gylling, Bjorn, Haggstrom, Jenny, Häggström, Christel, Zingmark, Carl, Burstrom, Anna Lofgren, Palmqvist, Richard, Van Guelpen, Bethany, Myte, Robin, Gylling, Bjorn, Haggstrom, Jenny, Häggström, Christel, Zingmark, Carl, Burstrom, Anna Lofgren, Palmqvist, Richard, and Van Guelpen, Bethany
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Factors related to energy metabolism and the metabolic syndrome, such as higher body mass index (BMI), blood glucose, or blood lipids, and blood pressure, are associated with an increased risk of colorectal cancer (CRC). However, CRC is a heterogeneous disease, developing through distinct pathways with differences in molecular characteristics and prognosis, and possibly also in risk factors. For subtypes defined by KRAS and BRAF mutation status, BMI is the only metabolic factor previously studied, with inconsistent findings. We investigated whether associations between BMI, blood glucose, blood lipids, and blood pressure and CRC risk differed by tumor KRAS and BRAF mutation status in 117,687 participants from two population-based cohorts within the Northern Sweden Health and Disease Study (NSHDS). Hazard ratios (HRs) for overall CRC and CRC subtypes by metabolic factors were estimated with Cox proportional hazards regression, using multiple imputation to handle missing exposure and tumor data. During a median follow-up of 15.6 years, we acquired 1,250 prospective CRC cases, of which 766 cases had complete baseline and molecular tumor data. Consistent with previous evidence, higher BMI, total cholesterol, triglyceride levels, and blood pressure were associated with an increased risk of overall CRC (HRs per 1 standard deviation increase: 1.07 to 1.12). These associations were similar regardless of CRC subtype by KRAS and BRAF mutation status (all p(heterogeneity) > 0.05). The same was true for subtypes based on microsatellite instability status. Poor metabolic health may therefore be a universal mechanism for colorectal cancer, acting across multiple developmental pathways.
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- 2019
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34. The inflammatory potential of diet in determining cancer risk : a prospective investigation of two dietary pattern scores
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Bodén, Stina, Myte, Robin, Wennberg, Maria, Harlid, Sophia, Johansson, Ingegerd, Shivappa, Nitin, Hébert, James R, van Guelpen, Bethany, Nilsson, Lena Maria, Bodén, Stina, Myte, Robin, Wennberg, Maria, Harlid, Sophia, Johansson, Ingegerd, Shivappa, Nitin, Hébert, James R, van Guelpen, Bethany, and Nilsson, Lena Maria
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PURPOSE: Inflammation-related mechanisms may contribute to the link between diet and cancer. We sought to investigate the inflammatory impact of diet on cancer risk using the Dietary inflammatory index (DII) and an adapted Mediterranean diet score (MDS). METHODS: This population-based, prospective cohort study used self-reported dietary data from the Västerbotten Intervention Programme, including 100,881 participants, of whom 35,393 had repeated measures. Associations between dietary patterns and cancer risk were evaluated using Cox proportional hazards regression. We also used restricted cubic splines to test for potential non-linear associations. RESULTS: A total of 9,250 incident cancer cases were diagnosed during a median follow-up of 15 years. The two dietary patterns were moderately correlated to each other and had similar associations with cancer risk, predominantly lung cancer in men (DII per tertile decrease: Hazard ratio (HR) 0.81 (0.66-0.99), MDS per tertile increase: HR 0.86 (0.72-1.03)), and gastric cancer in men (DII: 0.73 (0.53-0.99), MDS: 0.73 (0.56-0.96)). Associations were, in general, found to be linear. We found no longitudinal association between 10-year change in diet and cancer risk. CONCLUSION: We confirm small, but consistent and statistically significant associations between a more anti-inflammatory or healthier diet and reduced risk of cancer, including a lower risk of lung and gastric cancer in men. The dietary indexes produced similar associations with respect to the risk of cancer.
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- 2019
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35. One-carbon metabolite ratios as functional B-vitamin markers and in relation to colorectal cancer risk
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Gylling, Björn, Myte, Robin, Ulvik, Arve, Ueland, Per Magne, Midttun, Øivind, Schneede, Jørn, Hallmans, Göran, Häggström, Jenny, Johansson, Ingegerd, van Guelpen, Bethany, Palmqvist, Richard, Gylling, Björn, Myte, Robin, Ulvik, Arve, Ueland, Per Magne, Midttun, Øivind, Schneede, Jørn, Hallmans, Göran, Häggström, Jenny, Johansson, Ingegerd, van Guelpen, Bethany, and Palmqvist, Richard
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Background: One-carbon metabolism biomarker are easily measured in plasma, but analyzing them one at a time in relation to disease does not take into account the interdependence of the many factors involved. The relative dynamics of major one-carbon metabolism branches can be assessed by relating the functional B-vitamin marker total homocysteine (tHcy) to transsulfuration (total cysteine) and methylation (creatinine) outputs. Objective: We validated the ratios of tHcy to total cysteine (Hcy:Cys), tHcy to creatinine (Hcy:Cre), and tHcy to cysteine to creatinine (Hcy:Cys:Cre) as functional markers of B-vitamin status. We also calculated the associations of these ratios to colorectal cancer (CRC) risk. Design: The relative contribution of potential confounders to the variance of the ratio-based B-vitamin markers was calculated by linear regression in a nested case-control study of 613 CRC cases and 1211 matched controls. Total B-vitamin status was represented by a summary score comprising Z-standardized plasma concentrations of folate, cobalamin, betaine, pyridoxal 5´-phosphate, and riboflavin. Associations with CRC risk were estimated using conditional logistic regression. Results: The ratio-based B-vitamin markers all outperformed tHcy as markers of total B-vitamin status, in both CRC cases and controls. Associations with CRC risk were similar for the ratio-based B-vitamin markers and total B-vitamin status (approximately 25% lower risk for high versus low B-vitamin status). Conclusions: Ratio-based B-vitamin markers were good predictors of total B-vitamin status, and displayed similar associations with CRC risk. Since tHcy and creatinine are routinely clinically analyzed, Hcy:Cre could be easily implemented in clinical practice to aid interpretation of tHcy results., Originally included in thesis in manuscript form
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- 2019
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36. Circulating levels of inflammatory markers and DNA methylation, an analysis of repeated samples from a population based cohort
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Myte, Robin, Sundkvist, Anneli, van Guelpen, Bethany, Harlid, Sophia, Myte, Robin, Sundkvist, Anneli, van Guelpen, Bethany, and Harlid, Sophia
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DNA methylation in blood may adapt to conditions affecting our health, such as inflammation, and multiple studies have identified differential DNA methylation related to smoking, obesity and various diseases. The purpose of this study was to evaluate previously reported, and explore possible new, associations between levels of inflammatory markers and DNA methylation in blood. We used a well-characterized study population consisting of 127 individuals, all of whom were participants in the population-based Vasterbotten Intervention Programme cohort and had provided two blood samples, ten years apart. Levels of CRP and 160 other proteins were measured in plasma, and DNA methylation levels (assessed using the 850K Illumina Infinium MethylationEPIC BeadChip) were measured in white blood cell DNA. Associations between CpG methylation and protein levels were estimated using linear mixed models. In the study we were able to confirm the direction for 85 of 102 previously reported protein-methylation associations. Depicting associations in a network allowed us to identify CpG sites with associations to multiple proteins, and ten CpG sites were each associated with three or more inflammatory markers. Furthermore, two genetic regions included nine additional unreported CpG sites that may represent trans-acting methylation sites. Our study supports a complex interaction between DNA methylation and circulating proteins involved in the inflammatory response. The notion of trans-acting methylation sites affecting, or being affected by, the expression of genes on completely different chromosomes should be taken into account when interpreting results from epigenome-wide association studies.
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- 2019
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37. Plasma ghrelin is probably not a useful biomarker for risk prediction or early detection of colorectal cancer
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Sundkvist, Anneli, Myte, Robin, Palmqvist, Richard, Harlid, Sophia, van Guelpen, Bethany, Sundkvist, Anneli, Myte, Robin, Palmqvist, Richard, Harlid, Sophia, and van Guelpen, Bethany
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- 2019
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38. Heterogeneity of Colorectal Cancer Risk Factors by Anatomical Subsite in 10 European Countries: A Multinational Cohort Study
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MS MDL 1, EUPG team 2a, Epi Kanker Team 1, Cancer, JC onderzoeksprogramma Kanker, Murphy, Neil, Ward, Heather A., Jenab, Mazda, Rothwell, Joseph A., Boutron-Ruault, Marie Christine, Carbonnel, Franck, Kvaskoff, Marina, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Aleksandrova, Krasimira, Weiderpass, Elisabete, Skeie, Guri, Borch, Kristin Benjaminsen, Tjønneland, Anne, Kyrø, Cecilie, Overvad, Kim, Dahm, Christina C., Jakszyn, Paula, Sánchez, Maria Jose, Gil, Leire, Huerta, José M., Barricarte, Aurelio, Quirós, J. Ramón, Khaw, Kay Tee, Wareham, Nick, Bradbury, Kathryn E., Trichopoulou, Antonia, La Vecchia, Carlo, Karakatsani, Anna, Palli, Domenico, Grioni, Sara, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno-de-Mesquita, Bas, Peeters, Petra H., Gylling, Björn, Myte, Robin, Jirström, Karin, Berntsson, Jonna, Xue, Xiaonan, Riboli, Elio, Cross, Amanda J., Gunter, Marc J., MS MDL 1, EUPG team 2a, Epi Kanker Team 1, Cancer, JC onderzoeksprogramma Kanker, Murphy, Neil, Ward, Heather A., Jenab, Mazda, Rothwell, Joseph A., Boutron-Ruault, Marie Christine, Carbonnel, Franck, Kvaskoff, Marina, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Aleksandrova, Krasimira, Weiderpass, Elisabete, Skeie, Guri, Borch, Kristin Benjaminsen, Tjønneland, Anne, Kyrø, Cecilie, Overvad, Kim, Dahm, Christina C., Jakszyn, Paula, Sánchez, Maria Jose, Gil, Leire, Huerta, José M., Barricarte, Aurelio, Quirós, J. Ramón, Khaw, Kay Tee, Wareham, Nick, Bradbury, Kathryn E., Trichopoulou, Antonia, La Vecchia, Carlo, Karakatsani, Anna, Palli, Domenico, Grioni, Sara, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno-de-Mesquita, Bas, Peeters, Petra H., Gylling, Björn, Myte, Robin, Jirström, Karin, Berntsson, Jonna, Xue, Xiaonan, Riboli, Elio, Cross, Amanda J., and Gunter, Marc J.
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- 2019
39. Discovery of common and rare genetic risk variants for colorectal cancer
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Epi Kanker Team A, Cancer, JC onderzoeksprogramma Kanker, CMM Groep Burgering, Cardiovasculaire Epi Team 3, Brain, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Huyghe, Jeroen R., Bien, Stephanie A., Harrison, Tabitha A., Kang, Hyun Min, Chen, Sai, Schmit, Stephanie L., Conti, David V., Qu, Conghui, Jeon, Jihyoun, Edlund, Christopher K., Greenside, Peyton, Wainberg, Michael, Schumacher, Fredrick R., Smith, Joshua D., Levine, David M., Nelson, Sarah C., Sinnott-Armstrong, Nasa A., Albanes, Demetrius, Alonso, M. Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Bamia, Christina, Banbury, Barbara L., Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Boehm, Juergen, Boeing, Heiner, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D., Burnett-Hartman, Andrea, Butterbach, Katja, Caan, Bette J., Campbell, Peter T., Carlson, Christopher S., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chirlaque, Maria Dolores, Cho, Sang Hee, Connolly, Charles M., Cross, Amanda J., Cuk, Katarina, Curtis, Keith R., de la Chapelle, Albert, Doheny, Kimberly F., Duggan, David, Easton, Douglas F., Elias, Sjoerd G., Elliott, Faye, English, Dallas R., Feskens, Edith J.M., Figueiredo, Jane C., Fischer, Rocky, FitzGerald, Liesel M., Forman, David, Gala, Manish, Gallinger, Steven, Gauderman, W. James, Giles, Graham G., Gillanders, Elizabeth, Gong, Jian, Goodman, Phyllis J., Grady, William M., Grove, John S., Gsur, Andrea, Gunter, Marc J., Haile, Robert W., Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Hayes, Richard B., Hofer, Philipp, Hoffmeister, Michael, Hopper, John L., Hsu, Wan Ling, Huang, Wen Yi, Hudson, Thomas J., Hunter, David J., Ibañez-Sanz, Gemma, Idos, Gregory E., Ingersoll, Roxann, Jackson, Rebecca D., Jacobs, Eric J., Jenkins, Mark A., Joshi, Amit D., Joshu, Corinne E., Keku, Temitope O., Key, Timothy J., Kim, Hyeong Rok, Kobayashi, Emiko, Kolonel, Laurence N., Kooperberg, Charles, Kühn, Tilman, Küry, Sébastien, Kweon, Sun Seog, Larsson, Susanna C., Laurie, Cecelia A., Le Marchand, Loic, Leal, Suzanne M., Lee, Soo Chin, Lejbkowicz, Flavio, Lemire, Mathieu, Li, Christopher I., Li, Li, Lieb, Wolfgang, Lin, Yi, Lindblom, Annika, Lindor, Noralane M., Ling, Hua, Louie, Tin L., Männistö, Satu, Markowitz, Sanford D., Martín, Vicente, Masala, Giovanna, McNeil, Caroline E., Melas, Marilena, Milne, Roger L., Moreno, Lorena, Murphy, Neil, Myte, Robin, Naccarati, Alessio, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Onland-Moret, N. Charlotte, Pardini, Barbara, Parfrey, Patrick S., Pearlman, Rachel, Perduca, Vittorio, Pharoah, Paul D.P., Pinchev, Mila, Platz, Elizabeth A., Prentice, Ross L., Pugh, Elizabeth, Raskin, Leon, Rennert, Gad, Rennert, Hedy S., Riboli, Elio, Rodríguez-Barranco, Miguel, Romm, Jane, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Seminara, Daniela, Shah, Mitul, Shelford, Tameka, Shin, Min Ho, Shulman, Katerina, Sieri, Sabina, Slattery, Martha L., Southey, Melissa C., Stadler, Zsofia K., Stegmaier, Christa, Su, Yu Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Thomas, Sushma S., Toland, Amanda E., Trichopoulou, Antonia, Ulrich, Cornelia M., Van Den Berg, David J., van Duijnhoven, Franzel J.B., Van Guelpen, Bethany, van Kranen, Henk, Vijai, Joseph, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Win, Aung Ko, Wolf, C. Roland, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zaidi, Syed H., Zanke, Brent W., Zhang, Qing, Zheng, Wei, Scacheri, Peter C., Potter, John D., Bassik, Michael C., Kundaje, Anshul, Casey, Graham, Moreno, Victor, Abecasis, Goncalo R., Nickerson, Deborah A., Gruber, Stephen B., Hsu, Li, Peters, Ulrike, Epi Kanker Team A, Cancer, JC onderzoeksprogramma Kanker, CMM Groep Burgering, Cardiovasculaire Epi Team 3, Brain, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Huyghe, Jeroen R., Bien, Stephanie A., Harrison, Tabitha A., Kang, Hyun Min, Chen, Sai, Schmit, Stephanie L., Conti, David V., Qu, Conghui, Jeon, Jihyoun, Edlund, Christopher K., Greenside, Peyton, Wainberg, Michael, Schumacher, Fredrick R., Smith, Joshua D., Levine, David M., Nelson, Sarah C., Sinnott-Armstrong, Nasa A., Albanes, Demetrius, Alonso, M. Henar, Anderson, Kristin, Arnau-Collell, Coral, Arndt, Volker, Bamia, Christina, Banbury, Barbara L., Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Boehm, Juergen, Boeing, Heiner, Brenner, Hermann, Brezina, Stefanie, Buch, Stephan, Buchanan, Daniel D., Burnett-Hartman, Andrea, Butterbach, Katja, Caan, Bette J., Campbell, Peter T., Carlson, Christopher S., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chirlaque, Maria Dolores, Cho, Sang Hee, Connolly, Charles M., Cross, Amanda J., Cuk, Katarina, Curtis, Keith R., de la Chapelle, Albert, Doheny, Kimberly F., Duggan, David, Easton, Douglas F., Elias, Sjoerd G., Elliott, Faye, English, Dallas R., Feskens, Edith J.M., Figueiredo, Jane C., Fischer, Rocky, FitzGerald, Liesel M., Forman, David, Gala, Manish, Gallinger, Steven, Gauderman, W. James, Giles, Graham G., Gillanders, Elizabeth, Gong, Jian, Goodman, Phyllis J., Grady, William M., Grove, John S., Gsur, Andrea, Gunter, Marc J., Haile, Robert W., Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Hayes, Richard B., Hofer, Philipp, Hoffmeister, Michael, Hopper, John L., Hsu, Wan Ling, Huang, Wen Yi, Hudson, Thomas J., Hunter, David J., Ibañez-Sanz, Gemma, Idos, Gregory E., Ingersoll, Roxann, Jackson, Rebecca D., Jacobs, Eric J., Jenkins, Mark A., Joshi, Amit D., Joshu, Corinne E., Keku, Temitope O., Key, Timothy J., Kim, Hyeong Rok, Kobayashi, Emiko, Kolonel, Laurence N., Kooperberg, Charles, Kühn, Tilman, Küry, Sébastien, Kweon, Sun Seog, Larsson, Susanna C., Laurie, Cecelia A., Le Marchand, Loic, Leal, Suzanne M., Lee, Soo Chin, Lejbkowicz, Flavio, Lemire, Mathieu, Li, Christopher I., Li, Li, Lieb, Wolfgang, Lin, Yi, Lindblom, Annika, Lindor, Noralane M., Ling, Hua, Louie, Tin L., Männistö, Satu, Markowitz, Sanford D., Martín, Vicente, Masala, Giovanna, McNeil, Caroline E., Melas, Marilena, Milne, Roger L., Moreno, Lorena, Murphy, Neil, Myte, Robin, Naccarati, Alessio, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Onland-Moret, N. Charlotte, Pardini, Barbara, Parfrey, Patrick S., Pearlman, Rachel, Perduca, Vittorio, Pharoah, Paul D.P., Pinchev, Mila, Platz, Elizabeth A., Prentice, Ross L., Pugh, Elizabeth, Raskin, Leon, Rennert, Gad, Rennert, Hedy S., Riboli, Elio, Rodríguez-Barranco, Miguel, Romm, Jane, Sakoda, Lori C., Schafmayer, Clemens, Schoen, Robert E., Seminara, Daniela, Shah, Mitul, Shelford, Tameka, Shin, Min Ho, Shulman, Katerina, Sieri, Sabina, Slattery, Martha L., Southey, Melissa C., Stadler, Zsofia K., Stegmaier, Christa, Su, Yu Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Thomas, Sushma S., Toland, Amanda E., Trichopoulou, Antonia, Ulrich, Cornelia M., Van Den Berg, David J., van Duijnhoven, Franzel J.B., Van Guelpen, Bethany, van Kranen, Henk, Vijai, Joseph, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Win, Aung Ko, Wolf, C. Roland, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zaidi, Syed H., Zanke, Brent W., Zhang, Qing, Zheng, Wei, Scacheri, Peter C., Potter, John D., Bassik, Michael C., Kundaje, Anshul, Casey, Graham, Moreno, Victor, Abecasis, Goncalo R., Nickerson, Deborah A., Gruber, Stephen B., Hsu, Li, and Peters, Ulrike
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- 2019
40. Metabolic Risk Factors and Molecular Subtypes of Colorectal Cancer
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Myte, Robin
- Subjects
molecular subtypes ,Cancer och onkologi ,molecular pathological epidemiology ,Cancer and Oncology ,KRAS ,risk factors ,one-carbon metabolism ,neoplasms ,Colorectal cancer ,digestive system diseases ,metabolic syndrome ,MSI ,BRAF - Abstract
Background: Colorectal cancer (CRC) is a heterogeneous disease developing from distinct pathways, resulting in tumor subtypes with large differences in clinical and molecular characteristics. Molecular characteristics are increasingly being used clinically to guide therapy. However, whether molecular subtypes of CRC differ in etiology or risk factors is not clear. Clarifying such potential differences may lead to an improved understanding of CRC etiology, with implications for CRC prevention and screening. Aim: The aim of this thesis was to investigate whether risk factors related to energy metabolism, such as body fatness, and one-carbon metabolism, such as circulating B-vitamin status, were associated with specific subtypes of CRC defined by molecular characteristics of the tumor. Methods: These prospective studies are based on data and blood samples from cohorts within the population-based Northern Sweden Health and Disease Study (NSHDS). Prospective CRC cases with available archived tumor tissue were analyzed for key molecular features (KRAS and BRAF mutation status, Microsatellite instability (MSI) status, and CpG Island Methylator Phenotype (CIMP) status). Paper I was a cohort study of metabolic factors related to the metabolic syndrome (117 687 participants). Paper II was a nested-case control study on circulating insulin resistance-markers and adipokines (1010 cases and 1010 matched controls). Papers III and IV were nested case-control studies of one-carbon metabolism biomarkers and genetic variants (613 cases and 1190 matched controls). Results: In paper I, we observed associations between metabolic factors, such as BMI, blood pressure, and blood lipids, and CRC risk consistent with previous studies. These associations were similar regardless of tumor KRAS and BRAF mutation status. In paper II, circulating biomarkers of insulin resistance and adipokines were not associated with the risk of CRC or specific molecular subtypes of CRC defined by KRAS and BRAF mutation or MSI status. In paper III, higher circulating levels of metabolites involved in the methionine cycle (namely, betaine and methionine) were associated with a lower CRC risk. In paper IV, we found no support for clear subtype-specific roles of any circulating one-carbon metabolism biomarker or genetic variants in CRC development. Conclusions: The result of these prospective studies suggests that metabolic factors related to energy metabolism and one-carbon metabolism are generally associated with the risk of CRC, regardless of major subtypes defined by key molecular tumor features. If causal, metabolic risk factors likely influence the risk of colorectal cancer through more than one carcinogenic pathway.
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- 2018
41. Circulating levels of inflammatory markers and DNA methylation, an analysis of repeated samples from a population based cohort
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Myte, Robin, primary, Sundkvist, Anneli, additional, Van Guelpen, Bethany, additional, and Harlid, Sophia, additional
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- 2019
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42. The inflammatory potential of diet in determining cancer risk; A prospective investigation of two dietary pattern scores
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Bodén, Stina, primary, Myte, Robin, additional, Wennberg, Maria, additional, Harlid, Sophia, additional, Johansson, Ingegerd, additional, Shivappa, Nitin, additional, Hébert, James R., additional, Van Guelpen, Bethany, additional, and Nilsson, Lena Maria, additional
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- 2019
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43. Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status
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Myte, Robin, primary, Gylling, Björn, additional, Häggström, Jenny, additional, Häggström, Christel, additional, Zingmark, Carl, additional, Löfgren Burström, Anna, additional, Palmqvist, Richard, additional, and Van Guelpen, Bethany, additional
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- 2019
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44. One‐carbon metabolite ratios as functional B‐vitamin markers and in relation to colorectal cancer risk
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Gylling, Björn, primary, Myte, Robin, additional, Ulvik, Arve, additional, Ueland, Per M., additional, Midttun, Øivind, additional, Schneede, Jörn, additional, Hallmans, Göran, additional, Häggström, Jenny, additional, Johansson, Ingegerd, additional, Van Guelpen, Bethany, additional, and Palmqvist, Richard, additional
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- 2018
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45. Discovery of common and rare genetic risk variants for colorectal cancer
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Huyghe, Jeroen R., primary, Bien, Stephanie A., additional, Harrison, Tabitha A., additional, Kang, Hyun Min, additional, Chen, Sai, additional, Schmit, Stephanie L., additional, Conti, David V., additional, Qu, Conghui, additional, Jeon, Jihyoun, additional, Edlund, Christopher K., additional, Greenside, Peyton, additional, Wainberg, Michael, additional, Schumacher, Fredrick R., additional, Smith, Joshua D., additional, Levine, David M., additional, Nelson, Sarah C., additional, Sinnott-Armstrong, Nasa A., additional, Albanes, Demetrius, additional, Alonso, M. Henar, additional, Anderson, Kristin, additional, Arnau-Collell, Coral, additional, Arndt, Volker, additional, Bamia, Christina, additional, Banbury, Barbara L., additional, Baron, John A., additional, Berndt, Sonja I., additional, Bézieau, Stéphane, additional, Bishop, D. Timothy, additional, Boehm, Juergen, additional, Boeing, Heiner, additional, Brenner, Hermann, additional, Brezina, Stefanie, additional, Buch, Stephan, additional, Buchanan, Daniel D., additional, Burnett-Hartman, Andrea, additional, Butterbach, Katja, additional, Caan, Bette J., additional, Campbell, Peter T., additional, Carlson, Christopher S., additional, Castellví-Bel, Sergi, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Chanock, Stephen J., additional, Chirlaque, Maria-Dolores, additional, Cho, Sang Hee, additional, Connolly, Charles M., additional, Cross, Amanda J., additional, Cuk, Katarina, additional, Curtis, Keith R., additional, de la Chapelle, Albert, additional, Doheny, Kimberly F., additional, Duggan, David, additional, Easton, Douglas F., additional, Elias, Sjoerd G., additional, Elliott, Faye, additional, English, Dallas R., additional, Feskens, Edith J. M., additional, Figueiredo, Jane C., additional, Fischer, Rocky, additional, FitzGerald, Liesel M., additional, Forman, David, additional, Gala, Manish, additional, Gallinger, Steven, additional, Gauderman, W. James, additional, Giles, Graham G., additional, Gillanders, Elizabeth, additional, Gong, Jian, additional, Goodman, Phyllis J., additional, Grady, William M., additional, Grove, John S., additional, Gsur, Andrea, additional, Gunter, Marc J., additional, Haile, Robert W., additional, Hampe, Jochen, additional, Hampel, Heather, additional, Harlid, Sophia, additional, Hayes, Richard B., additional, Hofer, Philipp, additional, Hoffmeister, Michael, additional, Hopper, John L., additional, Hsu, Wan-Ling, additional, Huang, Wen-Yi, additional, Hudson, Thomas J., additional, Hunter, David J., additional, Ibañez-Sanz, Gemma, additional, Idos, Gregory E., additional, Ingersoll, Roxann, additional, Jackson, Rebecca D., additional, Jacobs, Eric J., additional, Jenkins, Mark A., additional, Joshi, Amit D., additional, Joshu, Corinne E., additional, Keku, Temitope O., additional, Key, Timothy J., additional, Kim, Hyeong Rok, additional, Kobayashi, Emiko, additional, Kolonel, Laurence N., additional, Kooperberg, Charles, additional, Kühn, Tilman, additional, Küry, Sébastien, additional, Kweon, Sun-Seog, additional, Larsson, Susanna C., additional, Laurie, Cecelia A., additional, Le Marchand, Loic, additional, Leal, Suzanne M., additional, Lee, Soo Chin, additional, Lejbkowicz, Flavio, additional, Lemire, Mathieu, additional, Li, Christopher I., additional, Li, Li, additional, Lieb, Wolfgang, additional, Lin, Yi, additional, Lindblom, Annika, additional, Lindor, Noralane M., additional, Ling, Hua, additional, Louie, Tin L., additional, Männistö, Satu, additional, Markowitz, Sanford D., additional, Martín, Vicente, additional, Masala, Giovanna, additional, McNeil, Caroline E., additional, Melas, Marilena, additional, Milne, Roger L., additional, Moreno, Lorena, additional, Murphy, Neil, additional, Myte, Robin, additional, Naccarati, Alessio, additional, Newcomb, Polly A., additional, Offit, Kenneth, additional, Ogino, Shuji, additional, Onland-Moret, N. Charlotte, additional, Pardini, Barbara, additional, Parfrey, Patrick S., additional, Pearlman, Rachel, additional, Perduca, Vittorio, additional, Pharoah, Paul D. P., additional, Pinchev, Mila, additional, Platz, Elizabeth A., additional, Prentice, Ross L., additional, Pugh, Elizabeth, additional, Raskin, Leon, additional, Rennert, Gad, additional, Rennert, Hedy S., additional, Riboli, Elio, additional, Rodríguez-Barranco, Miguel, additional, Romm, Jane, additional, Sakoda, Lori C., additional, Schafmayer, Clemens, additional, Schoen, Robert E., additional, Seminara, Daniela, additional, Shah, Mitul, additional, Shelford, Tameka, additional, Shin, Min-Ho, additional, Shulman, Katerina, additional, Sieri, Sabina, additional, Slattery, Martha L., additional, Southey, Melissa C., additional, Stadler, Zsofia K., additional, Stegmaier, Christa, additional, Su, Yu-Ru, additional, Tangen, Catherine M., additional, Thibodeau, Stephen N., additional, Thomas, Duncan C., additional, Thomas, Sushma S., additional, Toland, Amanda E., additional, Trichopoulou, Antonia, additional, Ulrich, Cornelia M., additional, Van Den Berg, David J., additional, van Duijnhoven, Franzel J. B., additional, Van Guelpen, Bethany, additional, van Kranen, Henk, additional, Vijai, Joseph, additional, Visvanathan, Kala, additional, Vodicka, Pavel, additional, Vodickova, Ludmila, additional, Vymetalkova, Veronika, additional, Weigl, Korbinian, additional, Weinstein, Stephanie J., additional, White, Emily, additional, Win, Aung Ko, additional, Wolf, C. Roland, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Wu, Anna H., additional, Zaidi, Syed H., additional, Zanke, Brent W., additional, Zhang, Qing, additional, Zheng, Wei, additional, Scacheri, Peter C., additional, Potter, John D., additional, Bassik, Michael C., additional, Kundaje, Anshul, additional, Casey, Graham, additional, Moreno, Victor, additional, Abecasis, Goncalo R., additional, Nickerson, Deborah A., additional, Gruber, Stephen B., additional, Hsu, Li, additional, and Peters, Ulrike, additional
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- 2018
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46. Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria
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Van Hemelrijck, Mieke, Ulmer, Hanno, Nagel, Gabriele, Peter, Raphael Simon, Fritz, Josef, Myte, Robin, Van Guelpen, Bethany, Föger, Bernhard, Concin, Hans, Häggström, Christel, Stattin, Pär, Stocks, Tanja, Van Hemelrijck, Mieke, Ulmer, Hanno, Nagel, Gabriele, Peter, Raphael Simon, Fritz, Josef, Myte, Robin, Van Guelpen, Bethany, Föger, Bernhard, Concin, Hans, Häggström, Christel, Stattin, Pär, and Stocks, Tanja
- Abstract
Background: Obesity is suggested to underlie development of other metabolic aberrations, but longitudinal relationships between metabolic factors at various ages has not been studied in detail. Methods: Data from 27,379 men and 32,275 women with in total 122,940 health examinations in the Vasterbotten Intervention Project, Sweden and the Vorarlberg Health Monitoring and Prevention Programme, Austria were used to investigate body mass index (BMI), mid-blood pressure, and fasting levels of glucose, triglycerides, and total cholesterol at baseline in relation to 10-year changes of these factors and weight. We included paired examinations performed 10 +/- 2 years apart and used them for longitudinal analysis with linear regression of changes between the ages 30 and 40, 40 and 50, or 50 and 60 years. Results: Higher levels of BMI were associated with increases in glucose and mid-blood pressure as well as triglycerides levels, and, to a lesser extent, decreases in cholesterol levels. For instance, per 5 kg/m(2) higher BMI at age 40, glucose at age 50 increased by 0.24 mmol/l (95%Cl:0.22-0.26) and mid-blood pressure increased by 1.54 mm Hg (95%Cl: 1.35-1.74). The strongest association observed was between BMI at age 30 and mid-blood pressure, which was 2.12 mm Hg (95% CI: 1.79-2.45) increase over ten years per 5 kg/m(2) higher BMI level. This association was observed at an age when blood pressure levels on average remained stable. Other associations than those with BMI at baseline were much weaker. However, triglyceride levels were associated with future glucose changes among individuals with elevated BMI, particularly in the two older age groups. Conclusion: BMI was most indicative of long-term changes in metabolic factors, and the strongest impact was observed for increases in blood pressure between 30 and 40 years of age. Our study supports that lifestyle interventions preventing metabolic aberrations should focus on avoiding weight increases.
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- 2018
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47. Targeted plasma proteomics identifies a novel, robust association between cornulin and Swedish moist snuff
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Sundkvist, Anneli, Myte, Robin, Bodén, Stina, Enroth, Stefan, Gyllensten, Ulf B., Harlid, Sophia, van Guelpen, Bethany, Sundkvist, Anneli, Myte, Robin, Bodén, Stina, Enroth, Stefan, Gyllensten, Ulf B., Harlid, Sophia, and van Guelpen, Bethany
- Abstract
Lifestyle behaviors are believed to influence the body's inflammatory state. Chronic low-grade inflammation contributes to the development of major non-communicable diseases such as diabetes, cardiovascular disease and cancer. Inflammation may thus be an important link between lifestyle and disease. We evaluated self-reported physical activity, tobacco use and alcohol consumption in relation to plasma levels of 160 validated inflammatory and cancer biomarkers. The study included 138 participants from a population-based cohort, all with repeated sampling of plasma and data ten years apart, allowing consideration of both intra- and inter-individual variation. Of 17 relationships identified, the strongest was an independent, positive association between cornulin (CRNN) and Swedish moist snuff (snus) use. We replicated the finding in a second cohort of 501 individuals, in which a dose-response relationship was also observed. Snus explained approximately one fifth of the variance in CRNN levels in both sample sets (18% and 23%). In conclusion, we identified a novel, independent, dose-dependent association between CRNN and snus use. Further study is warranted, to evaluate the performance of CRNN as a potential snus biomarker. The putative importance of lifestyle behaviors on a wide range of protein biomarkers illustrates the need for more personalized biomarker cut-offs.
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- 2018
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48. MicroRNA expression in KRAS- and BRAF-mutated colorectal cancers
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Lundberg, Ida, Wikberg, Maria L., Ljuslinder, Ingrid, Li, Xingru, Myte, Robin, Zingmark, Carl, Löfgren-Burström, Anna, Edin, Sofia, Palmqvist, Richard, Lundberg, Ida, Wikberg, Maria L., Ljuslinder, Ingrid, Li, Xingru, Myte, Robin, Zingmark, Carl, Löfgren-Burström, Anna, Edin, Sofia, and Palmqvist, Richard
- Abstract
Background/Aim: KRAS and BRAF are two genes commonly mutated in colorectal cancer (CRC). Even though BRAF is a downstream target of KRAS in the MAPK signalling pathway, KRAS- and BRAF-mutated CRCs are found to display several different clinical and histopathological features. We investigated whether a differential expression of microRNAs (miRNAs) could explain the clinicopathological differences seen between KRAS-and BRAF-mutated CRCs. Materials and Methods: Using a PCR array, we analyzed the expression of 84 different miRNAs in CRC cell lines wild-type in KRAS and BRAF, or mutated in KRAS or BRAF. Results: Ten miRNAs were selected for further analyses in tumor tissue specimens (let-7a, let-7i, miR-10a, miR-10b, miR-31, miR-100, miR-181a, miR-181b, miR-372, and miR-373). BRAF-mutated tumors were found to express significantly higher levels of miR-31 as well as significantly lower levels of miR-373, compared to wild-type tumors. Conclusion: Our results suggest that KRAS and BRAF-mutated CRCs may have different miRNA signatures compared to CRC tumors wild-type in KRAS and BRAF. However, no difference in expression levels between KRAS-and BRAF-mutated tumors was evident for the miRNAs analyzed in this study., Originally included in thesis in manuscript form
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- 2018
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49. One-carbon metabolism biomarkers and genetic variants in relation to colorectal cancer risk by KRAS and BRAF mutation status
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Myte, Robin, Gylling, Björn, Häggström, Jenny, Schneede, Jörn, Löfgren-Burström, Anna, Huyghe, Jeroen R., Hallmans, Göran, Meyer, Klaus, Johansson, Ingegerd, Ueland, Per Magne, Palmqvist, Richard, Van Guelpen, Bethany, Myte, Robin, Gylling, Björn, Häggström, Jenny, Schneede, Jörn, Löfgren-Burström, Anna, Huyghe, Jeroen R., Hallmans, Göran, Meyer, Klaus, Johansson, Ingegerd, Ueland, Per Magne, Palmqvist, Richard, and Van Guelpen, Bethany
- Abstract
Disturbances in one-carbon metabolism, intracellular reactions involved in nucleotide synthesis and methylation, likely increase the risk of colorectal cancer (CRC). However, results have been inconsistent. To explore whether this inconsistency could be explained by intertumoral heterogeneity, we evaluated a comprehensive panel of one-carbon metabolism biomarkers and some single nucleotide polymorphisms (SNPs) in relation to the risk of molecular subtypes of CRC defined by mutations in the KRAS and BRAF oncogenes. This nested case-control study included 488 CRC cases and 947 matched controls from two population-based cohorts in the Northern Sweden Health and Disease Study. We analyzed 14 biomarkers and 17 SNPs in prediagnostic blood and determined KRAS and BRAF mutation status in tumor tissue. In a multivariate network analysis, no variable displayed a strong association with the risk of specific CRC subtypes. A non-synonymous SNP in the CTH gene, rs1021737, had a stronger association compared with other variables. In subsequent univariate analyses, participants with variant rs1021737 genotype had a decreased risk of KRAS-mutated CRC (OR per allele = 0.72, 95% CI = 0.50, 1.05), and an increased risk of BRAF-mutated CRC (OR per allele = 1.56, 95% CI = 1.07, 2.30), with weak evidence for heterogeneity (Pheterogeneity = 0.01). This subtype-specific SNP association was not replicated in a case-case analysis of 533 CRC cases from The Cancer Genome Atlas (P = 0.85). In conclusion, we found no support for clear subtype-specific roles of one-carbon metabolism biomarkers and SNPs in CRC development, making differences in CRC molecular subtype distributions an unlikely explanation for the varying results on the role of one-carbon metabolism in CRC development across previous studies. Further investigation of the CTH gene in colorectal carcinogenesis with regards to KRAS and BRAF mutations or other molecular characteristics of the tumor may be warranted.
- Published
- 2018
- Full Text
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50. Plasma miRNA can detect colorectal cancer, but how early?
- Author
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Wikberg, Maria L., Myte, Robin, Palmqvist, Richard, van Guelpen, Bethany, Ljuslinder, Ingrid, Wikberg, Maria L., Myte, Robin, Palmqvist, Richard, van Guelpen, Bethany, and Ljuslinder, Ingrid
- Abstract
Colorectal cancer (CRC) is a major cause of deaths worldwide but has a good prognosis if detected early. The need for efficient, preferable non‐ or minimally invasive, inexpensive screening tools is therefore critical. We analyzed 12 miRNAs in pre‐ and postdiagnostic plasma samples to evaluate their potential as CRC screening markers. We used a unique study design with two overlapping cohorts, allowing analysis of pre‐ and postdiagnostic samples from 58 patients with CRC and matched healthy controls. Plasma concentrations of miR‐15b, ‐16, ‐18a, ‐19a, 21, ‐22, ‐25, ‐26a, ‐29c, ‐142‐5p, ‐150, and ‐192 were measured by semi‐quantitative real‐time PCR. Concentrations of miR‐18a, ‐21, ‐22, and ‐25 in plasma from patients with CRC were significantly altered compared to healthy controls. Combined as a multimarker panel, they detected CRC with an AUC of 0.93. Furthermore, levels of these three miRNAs also showed different levels in the prediagnostic case samples close to diagnosis. Only miR‐21‐levels were elevated several years before diagnosis. Plasma levels of miR‐18a, ‐21, ‐22, and ‐25 show promise as screening biomarkers for CRC. However, based on our unique analysis of prediagnostic and postdiagnostic samples from the same patients, we conclude that circulating miRNAs elevated at diagnosis may not automatically be suitable for CRC screening, if the increase occurs too close to clinical diagnosis.
- Published
- 2018
- Full Text
- View/download PDF
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