9 results on '"Hallmans, Goran"'
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2. Second-hand Smoke, Cotinine Levels, and Risk of Circulatory Mortality in a Large Cohort Study of Never-Smokers
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Gallo, Valentina, Neasham, David, Airoldi, Luisa, Ferrari, Pietro, Jenab, Mazda, Boffetta, Paolo, Overvad, Kim, Tjønneland, Anne, Clavel-Chapelon, Francoise, Boeing, Heiner, Pala, Valeria, Palli, Domenico, Panico, Salvatore, Tumino, Rosario, Arriola, Larraitz, Lund, Eiliv, Bueno-De-Mesquita, Bas, Peeters, Petra H., Melander, Olle, Hallmans, Goran, Riboli, Elio, Saracci, Rodolfo, and Vineis, Paolo
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- 2010
3. C-Reactive Protein and Ovarian Cancer: A Prospective Study Nested in Three Cohorts (Sweden, USA, Italy)
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Lundin, Eva, Dossus, Laure, Clendenen, Tess, Krogh, Vittorio, Grankvist, Kjell, Wulff, Marianne, Sieri, Sabina, Arslan, Alan A., Lenner, Per, Berrino, Franco, Hallmans, Goran, Zeleniuch-Jacquotte, Anne, Toniolo, Paolo, and Lukanova, Annekatrin
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- 2009
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4. A Prospective Study on Metabolic Risk Factors and Gallbladder Cancer in the Metabolic Syndrome and Cancer (Me-Can) Collaborative Study.
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Borena, Wegene, Edlinger, Michael, Bjørge, Tone, Häggström, Christel, Lindkvist, Björn, Nagel, Gabriele, Engeland, Anders, Stocks, Tanja, Strohmaier, Susanne, Manjer, Jonas, Selmer, Randi, Tretli, Steinar, Concin, Hans, Hallmans, Goran, Jonsson, Håkan, Stattin, Pär, and Ulmer, Hanno
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GALLBLADDER cancer ,METABOLIC syndrome risk factors ,PROPORTIONAL hazards models ,BODY mass index ,HEALTH ,SMOKING ,EPIDEMIOLOGICAL research ,PUBLIC health - Abstract
Objective: To investigate the association between metabolic risk factors (individually and in combination) and risk of gallbladder cancer (GBC). Methods: The metabolic syndrome and cancer project (Me-Can) includes cohorts from Norway, Austria, and Sweden with data on 578,700 men and women. We used Cox proportional hazard regression models to calculate relative risks of GBC by body mass index (BMI), blood pressure, and plasma levels of glucose, cholesterol, and triglycerides as continuous standardised variables and their standardised sum of metabolic syndrome (MetS) z-score. The risk estimates were corrected for random error in measurements. Results: During an average follow-up of 12.0 years (SD = 7.8), 184 primary gallbladder cancers were diagnosed. Relative risk of gallbladder cancer per unit increment of z-score adjusted for age, smoking status and BMI (except for BMI itself) and stratified by birth year, sex and sub-cohorts, was for BMI 1.31 (95% confidence interval 1.11, 1.57) and blood glucose 1.76 (1.10, 2.85). Further analysis showed that the effect of BMI on GBC risk is larger among women in the premenopausal age group (1.84 (1.23, 2.78)) compared to those in the postmenopausal age group (1.29 (0.93, 1.79)). For the other metabolic factors no significant association was found (mid blood pressure 0.96 (0.71, 1.31), cholesterol 0.84 (0.66, 1.06) and serum triglycerides 1.16 (0.82, 1.64)). The relative risk per one unit increment of the MetS z-score was 1.37 (1.07, 1.73). Conclusion: This study showed that increasing BMI and impaired glucose metabolism pose a possible risk for gallbladder cancer. Beyond the individual factors, the results also showed that the metabolic syndrome as an entity presents a risk constellation for the occurrence of gallbladder cancer. [ABSTRACT FROM AUTHOR]
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- 2014
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5. Association between adult height, genetic susceptibility and risk of glioma.
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Kitahara, Cari M, Wang, Sophia S, Melin, Beatrice S, Wang, Zhaoming, Braganza, Melissa, Inskip, Peter D, Albanes, Demetrius, Andersson, Ulrika, Beane Freeman, Laura E, Buring, Julie E, Carreón, Tania, Feychting, Maria, Gapstur, Susan M, Gaziano, J Michael, Giles, Graham G, Hallmans, Goran, Hankinson, Susan E, Henriksson, Roger, Hsing, Ann W, and Johansen, Christoffer
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DISEASE susceptibility ,GLIOMAS ,SCIENTIFIC observation ,LONGITUDINAL method ,ESTIMATION theory ,LOGISTIC regression analysis ,DISEASE risk factors - Abstract
Background Some, but not all, observational studies have suggested that taller stature is associated with a significant increased risk of glioma. In a pooled analysis of observational studies, we investigated the strength and consistency of this association, overall and for major sub-types, and investigated effect modification by genetic susceptibility to the disease.Methods We standardized and combined individual-level data on 1354 cases and 4734 control subjects from 13 prospective and 2 case–control studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for glioma and glioma sub-types were estimated using logistic regression models stratified by sex and adjusted for birth cohort and study. Pooled ORs were additionally estimated after stratifying the models according to seven recently identified glioma-related genetic variants.Results Among men, we found a positive association between height and glioma risk (≥190 vs 170–174 cm, pooled OR = 1.70, 95% CI: 1.11–2.61; P-trend = 0.01), which was slightly stronger after restricting to cases with glioblastoma (pooled OR = 1.99, 95% CI: 1.17–3.38; P-trend = 0.02). Among women, these associations were less clear (≥175 vs 160–164 cm, pooled OR for glioma = 1.06, 95% CI: 0.70–1.62; P-trend = 0.22; pooled OR for glioblastoma = 1.36, 95% CI: 0.77–2.39; P-trend = 0.04). In general, we did not observe evidence of effect modification by glioma-related genotypes on the association between height and glioma risk.Conclusion An association of taller adult stature with glioma, particularly for men and stronger for glioblastoma, should be investigated further to clarify the role of environmental and genetic determinants of height in the etiology of this disease. [ABSTRACT FROM PUBLISHER]
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- 2012
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6. Metabolic risk factors and primary liver cancer in a prospective study of 578,700 adults.
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Borena, Wegene, Strohmaier, Susanne, Lukanova, Annekatrin, Bjørge, Tone, Lindkvist, Björn, Hallmans, Goran, Edlinger, Michael, Stocks, Tanja, Nagel, Gabriele, Manjer, Jonas, Engeland, Anders, Selmer, Randi, Häggström, Christel, Tretli, Steinar, Concin, Hans, Jonsson, Håkan, Stattin, Pär, and Ulmer, Hanno
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Initial studies have indicated diabetes and obesity to be risk factors for hepatocellular carcinoma; but the association between other metabolic risk factors and primary liver cancer (PLC) has not been investigated. The metabolic syndrome and cancer project (Me-Can) includes cohorts from Norway, Austria and Sweden with data on 578,700 subjects. We used Cox proportional hazard models to calculate relative risks (RRs) of PLC by body mass index (BMI), blood pressure and plasma levels of glucose, cholesterol and triglycerides as continuous standardized variables ( z-score with mean = 0 and standard deviation (SD) = 1) and their standardized sum of metabolic syndrome (MetS) z-score. RRs were corrected for random error in measurements. During an average follow-up of 12.0 years (SD = 7.8), 266 PLCs were diagnosed among cohort members. RR of liver cancer per unit increment of z-score adjusted for age, smoking status and BMI and stratified by birth year, sex and sub-cohorts, was for BMI 1.39 (95% confidence interval (CI) 1.24-1.58), mid blood pressure 2.08 (0.95-4.73), blood glucose 2.13 (1.55-2.94) cholesterol 0.62 (0.51-0.76) and serum triglycerides 0.85 (0.65-1.10). The RR per one unit increment of the MetS z-score was 1.35 (1.12-1.61). BMI, glucose and a composite MetS score were positively and cholesterol negatively associated with risk of liver cancer. [ABSTRACT FROM AUTHOR]
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- 2012
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7. Dietary Fiber and Risk of Coronary Heart Disease: A Pooled Analysis of Cohort Studies.
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Pereira, Mark A., O'Reilly, Eilis, Augustsson, Katarina, Fraser, Gary E., Goldbourt, Uri, Heitmann, Berit L., Hallmans, Goran, Knekt, Paul, Liu, Simin, Pietinen, Pirjo, Spiegelman, Donna, Stevens, June, Virtamo, Jarmo, Willett, Walter C., and Ascherio, Alberto
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CORONARY disease ,DIETARY fiber ,HEART diseases ,CEREALS as food ,HIGH-fiber diet ,EPIDEMIOLOGY - Abstract
Background: Few epidemiologic studies of dietary fiber intake and risk of coronary heart disease have compared fiber types (cereal, fruit, and vegetable) or included sex-specific results. The purpose of this study was to conduct a pooled analysis of dietary fiber and its subtypes and risk of coronary heart disease. Methods: We analyzed the original data from 10 prospective cohort studies from the United States and Europe to estimate the association between dietary fiber intake and the risk of coronary heart disease. Results: Over 6 to 10 years of follow-up, 5249 incident total coronary cases and 2011 coronary deaths occurred among 91 058 men and 245 186 women. After adjustment for demographics, body mass index, and lifestyle factors, each 10-g/d increment of energy-adjusted and measurement error–corrected total dietary fiber was associated with a 14% (relative risk [RR], 0.86; 95% confidence interval [CI], 0.78-0.96) decrease in risk of all coronary events and a 27% (RR, 0.73; 95% CI, 0.61-0.87) decrease in risk of coronary death. For cereal, fruit, and vegetable fiber intake (not error corrected), RRs corresponding to 10-g/d increments were 0.90 (95% CI, 0.77-1.07), 0.84 (95% CI, 0.70-0.99), and 1.00 (95% CI, 0.88-1.13), respectively, for all coronary events and 0.75 (95% CI, 0.63-0.91), 0.70 (95% CI, 0.55-0.89), and 1.00 (95% CI, 0.82-1.23), respectively, for deaths. Results were similar for men and women. Conclusion: Consumption of dietary fiber from cereals and fruits is inversely associated with risk of coronary heart disease. [ABSTRACT FROM AUTHOR]
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- 2004
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8. Partially linear single index Cox regression model in nested case-control studies.
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Shang, Shulian, Liu, Mengling, Zeleniuch-Jacquotte, Anne, Clendenen, Tess V., Krogh, Vittorio, Hallmans, Goran, and Lu, Wenbin
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LINEAR statistical models , *REGRESSION analysis , *CASE-control method , *EPIDEMIOLOGY , *COST effectiveness , *STATISTICAL sampling - Abstract
Abstract: The nested case-control (NCC) design is widely used in epidemiologic studies as a cost-effective subcohort sampling method to study the association between a disease and its potential risk factors. NCC data are commonly analyzed using Thomas’ partial likelihood approach under the Cox proportional hazards model assumption. However, the linear modeling form in the Cox model may be insufficient for practical applications, especially when there are a large number of risk factors under investigation. In this paper, we consider a partially linear single index proportional hazards model, which includes a linear component for covariates of interest to yield easily interpretable results and a nonparametric single index component to adjust for multiple confounders effectively. We propose to approximate the nonparametric single index function by polynomial splines and estimate the parameters of interest using an iterative algorithm based on the partial likelihood. Asymptotic properties of the resulting estimators are established. The proposed methods are evaluated using simulations and applied to an NCC study of ovarian cancer. [Copyright &y& Elsevier]
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- 2013
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9. Genetic variability of the mTOR pathway and prostate cancer risk in the European Prospective Investigation on Cancer (EPIC)
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Laudina Rodríguez, Anika Hüsing, Isabelle Romieu, Rudolf Kaaks, Naomi E. Allen, Heiner Boeing, Federico Canzian, Carlotta Sacerdote, Kim Overvad, Núria Sala, David G. Cox, Elio Riboli, José María Huerta, Henk J. van Kranen, Lucie Dostal, H. Bas Bueno-de-Mesquita, Jane Nautrup Østergaard, Afshan Siddiq, Ruth C. Travis, María José Sánchez, Nerea Larrañaga, Anne Tjønneland, Angelika Stein, Göran Hallmans, Nicholas J. Wareham, Daniele Campa, Antonia Trichopoulou, Nina Roswall, Rosario Tumino, Pagona Lagiou, Mazda Jenab, Dimitrios Trichopoulos, Aurelio Barricarte, Mattias Johansson, Kay-Tee Khaw, Domenico Palli, Tobias Pischon, Sabina Sieri, [Campa, Daniele, Huesing, Anika, Stein, Angelika, Dostal, Lucie, Canzian, Federico, Kaaks, Rudolf] German Canc Res Ctr, Heidelberg, Germany. [Boeing, Heiner, Pischon, Tobias] Deutsch Inst Ernahrungsforsch, Dept Epidemiol, Potsdam, Germany. [Tjonneland, Anne, Roswall, Nina] Danish Canc Soc, Inst Canc Epidemiol, Copenhagen, Denmark. [Overvad, Kim, Ostergaard, Jane Nautrup] Aarhus Univ Hosp, Dept Cardiol, Cardiovasc Res Ctr, Aalborg Hosp, Aalborg, Denmark. [Overvad, Kim, Ostergaard, Jane Nautrup] Aarhus Univ, Dept Epidemiol, Sch Publ Hlth, DK-8000 Aarhus C, Denmark. [Rodriguez, Laudina] Hlth & Hlth Care Serv Council, Publ Hlth & Participat Directorate, Asturias, Spain. [Sala, Nuria] ICO IDIBELL, Barcelona, Spain. [Sanchez, Maria-Jose] Andalusian Sch Publ Hlth, Granada, Spain. [Sanchez, Maria-Jose, Larranaga, Nerea, Maria Huerta, Jose, Barricarte, Aurelio] Consortium Biomed Res Epidemiol & Publ Hlth CIBER, Madrid, Spain. [Larranaga, Nerea] Basque Govt, Publ Hlth Dept Gipuzkoa, Gipuzkoa, Spain. [Maria Huerta, Jose] Murcia Reg Hlth Author, Dept Epidemiol, Murcia, Spain. [Barricarte, Aurelio] Navarre Publ Hlth Inst, Pamplona, Spain. [Khaw, Kay-Tee] Univ Cambridge, Sch Clin Med, Cambridge, England. [Wareham, Nicholas] MRC Epidemiol Unit, Cambridge, England. [Travis, Ruth C., Allen, Naomi E.] Univ Oxford, Nuffield Dept Clin Med, Canc Epidemiol Unit, Oxford, England. [Lagiou, Pagona, Trichopoulou, Antonia] Univ Athens, Sch Med, WHO Collaborating Ctr Food & Nutr Policies, Dept Hyg Epidemiol & Med Stat, GR-11527 Athens, Greece. [Lagiou, Pagona, Trichopoulos, Dimitrios] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA. [Trichopoulou, Antonia] Hellen Hlth Fdn, Athens, Greece. [Trichopoulos, Dimitrios] Acad Athens, Bur Epidemiol Res, Athens, Greece. [Palli, Domenico] Canc Res & Prevent Inst ISPO, Mol & Nutr Epidemiol Unit, Florence, Italy. [Sieri, Sabina] Fdn IRCCS Ist Nazl Tumori, Milan, Italy. [Tumino, Rosario] Civile MP Arezzo Hosp, Canc Registry, Ragusa, Italy. [Tumino, Rosario] Civile MP Arezzo Hosp, Histopathol Unit, Ragusa, Italy. [Sacerdote, Carlotta] Ctr Canc Prevent CPO Piemonte, Turin, Italy. [Sacerdote, Carlotta] Human Genet Fdn HuGeF, Turin, Italy. [van Kranen, Henk, Bueno-de-Mesquita, H. Bas] Natl Inst Publ Hlth & Environm, Ctr Nutr & Hlth CVG, Bilthoven, Netherlands. [Hallmans, Goran, Johansson, Mattias] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden. [Johansson, Mattias, Romieu, Isabelle, Jenab, Mazda] Int Agcy Res Canc, F-69372 Lyon, France. [Cox, David G., Siddiq, Afshan, Riboli, Elio] Univ London Imperial Coll Sci Technol & Med, London, England. [Cox, David G.] Ctr Leon Berard, INSERM, F-69373 Lyon, France., Specific results of this study were obtained with financial support from the US Army Medical Research and Material Command (W81XWH-05-1-0156). http://cdmrp.army.mil/pcrp/default.shtml. The EPIC study was funded by 'Europe Against Cancer' Programme of the European Commission (SANCO), Ligue contre le Cancer (France), Société 3M (France), Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM), German Cancer Aid, German Cancer Research Center, German Federal Ministry of Education and Research, Danish Cancer Society, Health Research Fund (FIS) of the Spanish Ministry of Health, the participating regional governments and institutions of Spain, Cancer Research UK, Medical Research Council, UK, Hellenic Ministry of Health and Social Solidarity, the Stavros Niarchos Foundation and the Hellenic Health Foundation, Italian Association for Research on Cancer, Italian National Research Council, Dutch Ministry of Public Health, Welfare and Sports (VWS), Dutch Ministry of Health, Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF) (The Netherlands), Statistics Netherlands, Swedish Cancer Society, Swedish Scientific Council, Regional Government of Skane, Sweden, Norwegian Cancer Society, Department of Cancer Epidemiology, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), German Institute of Human Nutrition Potsdam-Rehbrücke, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Cancer Epidemiology Institute, Department of Cardiology, Aarhus University Hospital, Public Health and Participation Directorate, Health and Health Care Services Council, Catalan Institute of Oncology, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), Granada Cancer Registry, Andalusian School of Public Health [Granada], Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), CIBER de Epidemiología y Salud Pública (CIBERESP), Murcia Regional Health Authority, Public Health Institute of Navarra, School of Clinical Medicine, University of Cambridge [UK] (CAM), Epidemiology Unit, Medical Research Council, Cancer Epidemiology Unit, University of Oxford [Oxford]-Cancer Epidemiology Unit, WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene-Epidemiology and Medical Statistics-Athens Medical School, Department of Hygiene, Epidemiology and Medical Statistics, Harvard School of Public Health, Bureau of Epidemiologic Research, Academy of Athens, Molecular and Nutritional Epidemiology Unit, ISPO-Cancer Research and Prevention Institute, Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Cancer Registry, Civile - M.P.Arezzo Hospital, CPO Piemonte, National Institute for Public Health and the Environment [Bilthoven] (RIVM), Department of Public Health and Clinical Medicine/Nutritional Research, Umeå University, Nutrition and Metabolism Section, International Agency for Cancer Research (IACR), Unit of Nutrition, Environment, and Cancer, Equipe 6, Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Genomics of Common Disease, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Epidemiology and Biostatistics, Imperial College London-Faculty of Medicine-School of public health, Department of Epidemiology and Public Health, Imperial College London, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Aalborg Hospital-Aarhus University Hospital, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública ( CIBERESP ), Andalusian School of Public Health, University of Cambridge [UK] ( CAM ), Azienda Ospedaliera 'Civile M.P.Arezzo', National Institute for Public Health and the Environment [Bilthoven] ( RIVM ), University of Umeå, International Agency for Research on Cancer, Centre de Recherche en Cancérologie de Lyon ( CRCL ), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), and Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS )
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Oncology ,Male ,MESH: Carcinoma ,Epidemiology ,protein p53 ,MESH : Aged ,PROTEIN ,Genome-wide association study ,MESH : Genotype ,[ SDV.CAN ] Life Sciences [q-bio]/Cancer ,KAPPA-B ACTIVATION ,MESH: Genotype ,0302 clinical medicine ,PKC-IOTA ,Epidemiology of cancer ,Multicenter Studies as Topic ,TUBEROUS SCLEROSIS ,MESH: Genetic Variation ,lcsh:Science ,MESH : Isoenzymes ,0303 health sciences ,MESH: Middle Aged ,MESH : Carcinoma ,TOR Serine-Threonine Kinases ,Cancer Risk Factors ,target of rapamycin kinase ,MTOR protein ,MESH: Case-Control Studies ,3. Good health ,030220 oncology & carcinogenesis ,Medicine ,Science & Technology - Other Topics ,MESH : Genome-Wide Association Study ,Phenomena and Processes::Genetic Phenomena::Genetic Variation [Medical Subject Headings] ,MESH : Prostatic Neoplasms ,Phenomena and Processes::Chemical Phenomena::Chemical Processes::Biochemical Processes::Signal Transduction [Medical Subject Headings] ,medicine.medical_specialty ,MESH : Case-Control Studies ,Genotype ,Single-nucleotide polymorphism ,Variación genética ,03 medical and health sciences ,Genetics ,Cancer Genetics ,Humans ,MESH : Middle Aged ,human ,Biology ,mammalian target of rapamycin ,Aged ,Estudio Multicéntrico ,Science & Technology ,MESH: Humans ,MULTIDISCIPLINARY SCIENCES ,lcsh:R ,MESH : Humans ,Genetic Variation ,medicine.disease ,MESH : Neoplasms ,Genitourinary Tract Tumors ,Genetic epidemiology ,Cardiovascular and Metabolic Diseases ,Case-Control Studies ,KINASE-C-IOTA ,MESH: Genome-Wide Association Study ,MESH: Multicenter Studies as Topic ,lcsh:Q ,MESH : Genetic Predisposition to Disease ,RAPAMYCIN ,Lifestyle Causes of Cancer ,MESH: Signal Transduction ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Clinical Trials as Topic::Multicenter Studies as Topic [Medical Subject Headings] ,lcsh:Medicine ,Bioinformatics ,MESH : Multicenter Studies as Topic ,Prostate cancer ,Risk Factors ,MESH: Risk Factors ,Neoplasms ,Clinical Epidemiology ,MESH: Neoplasms ,Protein Kinase C ,MESH: Aged ,Multidisciplinary ,Prostate Cancer ,MESH: Genetic Predisposition to Disease ,Middle Aged ,MESH : Risk Factors ,European Prospective Investigation into Cancer and Nutrition ,Europe ,Isoenzymes ,Diseases::Male Urogenital Diseases::Urogenital Neoplasms::Genital Neoplasms, Male::Prostatic Neoplasms [Medical Subject Headings] ,Genetic Epidemiology ,protein kinase C lambda ,MESH: Isoenzymes ,MESH : TOR Serine-Threonine Kinases ,isoenzyme ,Cancer Epidemiology ,Signal Transduction ,Research Article ,MESH : Male ,Genetic Causes of Cancer ,MESH : Europe ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Neoplasias de la Próstata ,Genetic polymorphisms ,Serina-Treonina Quinasas TOR ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Case-Control Studies [Medical Subject Headings] ,Diseases::Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Disease Susceptibility::Genetic Predisposition to Disease [Medical Subject Headings] ,LUNG-CANCER ,MESH : Genetic Variation ,Internal medicine ,medicine ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Intracellular Signaling Peptides and Proteins::TOR Serine-Threonine Kinases [Medical Subject Headings] ,Genetic Predisposition to Disease ,MESH : Protein Kinase C ,PI3K/AKT/mTOR pathway ,Genetic Association Studies ,MESH: TOR Serine-Threonine Kinases ,030304 developmental biology ,MESH : Signal Transduction ,COMPLEX ,Càncer de pròstata ,Polimorfisme genètic ,Carcinoma ,MTOR protein, human ,protein kinase C ,Cancer ,Prostatic Neoplasms ,Cancers and Neoplasms ,Human Genetics ,MESH: Protein Kinase C ,MESH: Male ,MAMMALIAN TARGET ,MESH: Prostatic Neoplasms ,CELL-GROWTH ,MESH: Europe ,EPIC ,Genome-Wide Association Study - Abstract
International audience; The mTOR (mammalian target of rapamycin) signal transduction pathway integrates various signals, regulating ribosome biogenesis and protein synthesis as a function of available energy and amino acids, and assuring an appropriate coupling of cellular proliferation with increases in cell size. In addition, recent evidence has pointed to an interplay between the mTOR and p53 pathways. We investigated the genetic variability of 67 key genes in the mTOR pathway and in genes of the p53 pathway which interact with mTOR. We tested the association of 1,084 tagging SNPs with prostate cancer risk in a study of 815 prostate cancer cases and 1,266 controls nested within the European Prospective Investigation into Cancer and Nutrition (EPIC). We chose the SNPs (n = 11) with the strongest association with risk (p
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- 2011
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