551 results on '"Colditz, G"'
Search Results
2. Harvard Report on Cancer Prevention Volume 4: Harvard Cancer Risk Index
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Colditz, G. A., Atwood, K. A., Emmons, K., Monson, R. R., Willett, W. C., Trichopoulos, D., and Hunter, D. J.
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- 2000
3. Prospective Study of Smoking, Antioxidant Intake, and Lung Cancer in Middle-Aged Women (USA)
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Speizer, F. E., Colditz, G. A., Hunter, D. J., Rosner, B., and Hennekens, C.
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- 1999
4. Social Networks, Stress and Health-Related Quality of Life
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Kawachi, I., Levine, S., and Colditz, G.
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- 1998
5. Consensus Conference: Smoking and Prostate Cancer
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Colditz, G.
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- 1996
6. Comparison of Aspects of Smoking among the Four Histological Types of Lung Cancer
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Kenfield, S. A., Wei, E. K., Stampfer, M. J., Rosner, B. A., and Colditz, G. A.
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- 2008
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7. Physical work exposure matrix for use in the UK Biobank
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Yanik, E L, primary, Stevens, M J, additional, Harris, E Clare, additional, Walker-Bone, K E, additional, Dale, A M, additional, Ma, Y, additional, Colditz, G A, additional, and Evanoff, B A, additional
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- 2021
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8. Breastfeeding and breast cancer risk by receptor status—a systematic review and meta-analysis
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Islami, F., Liu, Y., Jemal, A., Zhou, J., Weiderpass, E., Colditz, G., Boffetta, P., and Weiss, M.
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- 2015
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9. Improving Standards of Medical and Public Health Research
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Colditz, G. A.
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- 2002
10. Stress and Suicide in the Nurses' Health Study
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Feskanich, D., Hastrup, J. L., Marshall, J. R., Colditz, G. A., Stampfer, M. J., Willett, W. C., and Kawachi, I.
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- 2002
11. Physical work exposure matrix for use in the UK Biobank.
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Yanik, E L, Stevens, M J, Harris, E Clare, Walker-Bone, K E, Dale, A M, Ma, Y, Colditz, G A, and Evanoff, B A
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JOB classification ,OCCUPATIONAL exposure ,RANK correlation (Statistics) ,OCCUPATIONAL diseases ,MANUAL labor - Abstract
Background UK Biobank (UKB) is a large prospective cohort capturing numerous health outcomes, but limited occupational information (job title, self-reported manual work and occupational walking/standing). Aims To create and evaluate validity of a linkage between UKB and a job exposure matrix for physical work exposures based on the US Occupational Information Network (O*NET) database. Methods Job titles and UK Standard Occupational Classification (SOC) codes were collected during UKB baseline assessment visits. Using existing crosswalks, UK SOC codes were mapped to US SOC codes allowing linkage to O*NET variables capturing numerous dimensions of physical work. Job titles with the highest O*NET scores were assessed to evaluate face validity. Spearman's correlation coefficients were calculated to compare O*NET scores to self-reported UKB measures. Results Among 324 114 participants reporting job titles, 323 936 were linked to O*NET. Expected relationships between scores and self-reported measures were observed. For static strength (0–7 scale), the median O*NET score was 1.0 (e.g. audiologists), with a highest score of 4.88 for stone masons and a positive correlation with self-reported heavy manual work (Spearman's coefficient = 0.50). For time spent standing (1–5 scale), the median O*NET score was 2.72 with a highest score of 5 for cooks and a positive correlation with self-reported occupational walking/standing (Spearman's coefficient = 0.56). Conclusions While most jobs were not physically demanding, a wide range of physical work values were assigned to a diverse set of jobs. This novel linkage of a job exposure matrix to UKB provides a potentially valuable tool for understanding relationships between occupational exposures and disease. [ABSTRACT FROM AUTHOR]
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- 2022
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12. Implementing chronic disease prevention amongst cancer survivors
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Wolin, K. Y. and Colditz, G. A.
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- 2011
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13. Social networks, stress and health-related quality of life
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Achat, H., Kawachi, I., Levine, S., Berkey, C., Coakley, E., and Colditz, G.
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- 1998
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14. Disseminating Research Findings into Public Health Practice
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Colditz, G. A.
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- 2002
15. Differentiating between risk for melanoma versus non-melanoma skin cancer: ability-to-tan versus susceptibility-to-burn in the Nurses Health Study: 302
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Qureshi, A, Hunter, D J, and Colditz, G A
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- 2005
16. Oral contraceptive use and the risk of Type 2 (non-insulin-dependent) diabetes mellitus in a large prospective study of women
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Rimm, E. B., Manson, J. E., Stampfer, M. J., Colditz, G. A., Willett, W. C., Rosner, B., Hennekens, C. H., and Speizer, F. E.
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- 1992
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17. Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women
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He, K, Hu, F B, Colditz, G A, Manson, J E, Willett, W C, and Liu, S
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- 2004
18. Snack food intake does not predict weight change among children and adolescents
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Field, A E, Austin, S B, Gillman, M W, Rosner, B, Rockett, H R, and Colditz, G A
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- 2004
19. Association of weight change, weight control practices, and weight cycling among women in the Nurses' Health Study II
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Field, A E, Manson, J E, Taylor, C B, Willett, W C, and Colditz, G A
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- 2004
20. Longitudinal study of skipping breakfast and weight change in adolescents
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Berkey, C S, Rockett, H RH, Gillman, M W, Field, A E, and Colditz, G A
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- 2003
21. Association between fruit and vegetable intake and change in body mass index among a large sample of children and adolescents in the United States
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Field, A E, Gillman, M W, Rosner, B, Rockett, H R, and Colditz, G A
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- 2003
22. Individual Risk Prediction and Population-wide Disease Prevention
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Rockhill, B., Kawachi, I., and Colditz, G. A.
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- 2000
23. PCN162 SECOND PRIMARY OBESITY-RELATED CANCER IN THE UNITED STATES, 1999-2016
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Pollack, L.M., primary, Wang, M., additional, Liu, E., additional, Colditz, G., additional, and Chang, S.H., additional
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- 2019
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24. PNS63 MODELING REDUCTIONS IN ABSOLUTE CANCER MORTALITY FROM DIAGNOSING CANCERS BEFORE METASTASIS, 2006-2015
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Clarke, C., primary, Hubbell, E., additional, Hartman, A.R., additional, Colditz, G., additional, Kurian, A., additional, and Gomez, S., additional
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- 2019
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25. Research strategies for nutritional and physical activity epidemiology and cancer prevention
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Mahabir, S., Willett, W., Friedenreich, C., Lai, G., Boushey, Carol, Matthews, C., Sinha, R., Colditz, G., Rothwell, J., Reedy, J., Patel, A., Leitzmann, M., Fraser, G., Ross, S., Hursting, S., Abnet, C., Kushi, L., Taylor, P., Prentice, R., Mahabir, S., Willett, W., Friedenreich, C., Lai, G., Boushey, Carol, Matthews, C., Sinha, R., Colditz, G., Rothwell, J., Reedy, J., Patel, A., Leitzmann, M., Fraser, G., Ross, S., Hursting, S., Abnet, C., Kushi, L., Taylor, P., and Prentice, R.
- Abstract
Very large international and ethnic differences in cancer rates exist, are minimally explained by genetic factors, and show the huge potential for cancer prevention. A substantial portion of the differences in cancer rates can be explained by modifiable factors, and many important relationships have been documented between diet, physical activity, and obesity, and incidence of important cancers. Other related factors, such as the microbiome and the metabolome, are emerging as important intermediary components in cancer prevention. It is possible with the incorporation of newer technologies and studies including long follow-up and evaluation of effects across the life cycle, additional convincing results will be produced. However, several challenges exist for cancer researchers; for example, measurement of diet and physical activity, and lack of standardization of samples for microbiome collection, and validation of metabolomic studies. The United States National Cancer Institute convened the Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention Workshop on June 28-29, 2016, in Rockville, Maryland, during which the experts addressed the state of the science and areas of emphasis. This current paper reflects the state of the science and priorities for future research.
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- 2018
26. Letrozole versus clomiphene citrate for unexplained infertility: a systematic review and meta-analysis of randomized, controlled trials
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Eskew, A.M., primary, Bedrick, B., additional, Stoll, C., additional, Hardi, A., additional, Tuuli, M.G., additional, Colditz, G., additional, and Jungheim, E.S., additional
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- 2018
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27. Early versus 6–12 week postpartum glucose tolerance testing for women with gestational diabetes
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Carter, E B, primary, Martin, S, additional, Temming, L A, additional, Colditz, G A, additional, Macones, G A, additional, and Tuuli, M G, additional
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- 2017
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28. Neoadjuvant therapy and surgical resection of early-stage intrahepatic cholangiocarcinoma: insights from the National Cancer Database
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Brauer, D., primary, Fields, R., additional, Tan, B., additional, Doyle, M., additional, Strasberg, S., additional, Hawkins, W., additional, Colditz, G., additional, and Chapman, W., additional
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- 2017
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29. Abstract P1-07-05: Weight change across the life-course and breast cancer risk among pre and postmenopausal women
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Colditz, G, primary, Eliassen, H, additional, Toriola, A, additional, Hankinson, S, additional, Willett, W, additional, and Rosner, B, additional
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- 2016
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30. Abstract P4-09-11: microRNA markers and risk of recurrence in women with ductal carcinoma in situ
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Liu, Y, primary, Baker, C, additional, Wang, X, additional, and Colditz, G, additional
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- 2016
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31. Alcohol, tobacco and breast cancer--collaborative reanalysis of individual data from 53 epidemiological studies, including 58,515 women with breast cancer and 95,067 women without the disease
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Peterson, B., Ontiveros, P., Yu, M. C., Heath, C. W., Bergkvist, L., Baines, C. J., Malone, K., Magnusson, C., Lubin, F., Kungu, A., Kay, C., Pike, M., Siskind, V., Virutamasen, P., Hermon, C., Brêmond, A., Lacaya, L. B., Bain, C., Calle, E. E., Aristizabal, N., Gatei, D., Ngelangel, C. A., Bull, D., Fentiman, I. S., Leske, M. C., Hannaford, P., Pike, M. C., Viladiu, P., Wang, D. Y., Peto, J., White, E., Weinstein, A. L., Theetranont, C., Fraser, G., La Vecchia, C., Martinez, L., Evstifeeva, T., Holck, S., Jin, F., Shearman, R., Nasca, P. C., Wang, Q. S., Stanford, J. L., Chilvers, C. E.D., Tulinius, H., Bishop, T., Coldman, A. J., Salazar, S. B., Gallagher, R. P., Peto, R., Reeves, G., Hiatt, R. A., Kunde, D., Boyle, P., Kenya, P., Molina, R., Salas, O., Negri, E., Liff, J. M., Primic-Zakelj, M., Lee, N., Doll, R., Anderson, K., Schairer, C., Band, P., Goodill, A., Goldbohm, R. A., Katsouyanni, K., Hu, J., Mao, Y., Noonan, E. A., Hislop, T. G., Meirik, O., Cuadros, A., Clavel, F., Ursin, G., Boosiri, B., Lansac, J., Schofield, F., Renaud, R., Kosmelj, K., Kolonel, L. M., Hulka, B., Berry, G., Daling, J. R., Jones, L., Mati, J. G., Hulka, B. S., McCredie, M., Spears, G. F.S., Trichopoulou, A., Schuman, L., Farley, T. M.M., Ravnihar, B., Wei, H. Y., Key, T., Skegg, D. C.G., Lewis, C., Bernstein, L., Miller, A. B., Hanson, R. L., Ross, R. K., Martin, N., Rohan, T., Collins, R., Yuan, J. M., Colditz, G., Gao, Y. T., MacLennan, R., Segala, C., Weiss, N. S., Cooper Booth, J., Andrieu, N., Banks, E., Richardson, S., van Leeuwen, F. E., Newcomb, P., Gammon, M. D., Wongsrichanalai, C., Friedman, G. D., Szklo, M., Baens, J., van den Brandt, P. A., Alexander, F. E., Wilson, H. G., Spirtas, R., Tajima, K., Gerber, M., Franceschi, S., Stare, J., Ron, E., Jelihovsky, T., Mabuchi, K., Piana, L., Wall, C., Schoenberg, J. A., Koetsawang, S., Apelo, R. A., Marchbanks, P., Stewart, W., Van Leeuven, M., Jimakorn, P., Beeson, W. L., Pardthaisong, T., Tryggvadottir, L., Zheng, W., Adami, H. O., Coates, R. J., Palet, A., Wingo, P. A., Thomas, D. B., Thomas, D., Enger, S., Trichopoulos, D., Chutivongse, S., Bulbrook, R. D., Rosero-Bixby, L., Gajalakshmi, V., de la Cruz, J. R., Hopper, J. L., Muller, A., Zhiheng, C., Beral, V., Hamajima, N., Ewertz, M., Varma, A. O., Nomura, A. M.Y., Rookus, M. A., Lee, H. P., Ebeling, K., Cuzick, J., Yang, P., Cuevas, H. R., Peterson, H. B., Izquierdo, A., Brinton, L. A., Nishan, P., Clarke, E. A., Hayward, J. L., Crossley, B., Yun, T., Kalache, A., Moller, T. R., Hutchinson, W. B., Green, J., Marubini, E., Hoover, R., Wax, Y., Modan, B., Ory, H. W., Duffy, S. W., Ranstam, J., Olsson, H., Lund, E., Gairard, B., Ferraroni, M., Paganini-Hill, A., Appleby, P., Shu, X. O., Vessey, M., Haile, R. W., Dabancens, A., Folsom, A. R., Langston, N., Talamini, R., Skegg, D., Neil, A., Chang-Claude, J., Bachelot, A., McMichael, A. J., Javier, B., Persson, I., Paul, C., Mahoney, M. C., Hirose, K., Rachawat, D., De Sanjosé, S., Longnecker, M. P., Johnson, K. C., Morabia, A., Preston, D., Levi, F., Silpisornkosol, S., Stalsberg, H., McPherson, K., Yeates, D., Lê, M. G., Chantarakul, N., Clavel-Chapelon, F., Secretariat, Cancer Research UK Epidemiology Unit, Beral V, Hamajima N, Hirose K, Rohan T, Calle EE, Heath CW, Coates RJ, Liff JM, Talamini R, Chantarakul N, Koetsawang S, Rachawat D, Morabia A, Schuman L, Stewart W, Szklo M, Bain C, Schofield F, Siskind V, Band P, Coldman AJ, Gallagher RP, Hislop TG, Yang P, Kolonel LM, Nomura AMY, Hu J, Johnson KC, Mao Y, De Sanjose S, Lee N, Marchbanks P, Ory HW, Peterson HB, Wilson HG, Wingo PA, Ebeling K, Kunde D, Nishan P, Hopper JL, Colditz G, Gajalakshmi V, Martin N, Pardthaisong T, Solpisornkosol S, Theetranont C, Boosiri B, Chutivongse S, Jimakorn P, Virutamasen P, Wongsrichanalai C, Ewertz M, Adami HO, Bergkvist L, Magnusson C, Persson I, Chang-Claude J, Paul C, Skegg DCG, Spears GFS, Boyle P, Evstifeeva T, Daling JR, Hutchinson WB, Malone K, Noonan EA, Stanford JL, Thomas DB, Weiss NS, White E, Andrieu N, Bremond A, Clavel F, Gairard B, Lansac J, Piana L, Renaud R, Izquierdo A, Viladiu P, Cuevas HR, Ontiveros P, Palet A, Salazar SB, Arsitizabal N, Cuadros A, Tryggvadottir L, Tulinius H, Bachelot A, Le MG, Peto J, Franceschi S, Lubin F, Modan B, Ron E, Wax Y, Friedman GD, Hiatt RA, Levi F, Bishop T, Kosmelj K, Primic-Zakelj M, Ravnihar B, Stare J, Beeson WL, Fraser G, Bulbrook RD, Cuzick J, Duffy SW, Fentiman IS, Hayward JL, Wang DY, McMichael AJ, McPherson K, Hanson RL, Leske MC, Mahoney MC, Nasca PC, Varma AO, Weinstein AL, Moller TR, Olsson H, Ranstam J, Goldbohm RA, van den Brandt PA, Apelo RA, Baens J, de la Cruz JR, Javier B, Lacaya LB, Ngelangel CA, La Vecchia C, Negri E, Marubini E, Ferraroni M, Gerber M, Richardson S, Segala C, Gatei D, Kenya P, Kungu A, Mati JG, Brinton LA, Hoover R, Schairer C, Spirtas R, Lee HP, Rookus MA, van Leeuwen FE, Schoenberg JA, McCredie M, Gammon MD, Clarke EA, Jones L, Neil A, Vessey M, Yeates D, Appleby P, Banks E, Bull D, Crossley B, Goodill A, Green J, Hermon C, Key T, Langston N, Lewis C, Reeves G, Collins R, Doll R, Peto R, Mabuchi K, Preston D, Hannaford P, Kay C, Rosero-Bixby L, Gao YT, Jin F, Yuan JM, Wei HY, Yun T, Zhiheng C, Berry G, Cooper Booth J, Jelihovsky T, MacLennan R, Shearman R, Wang QS, Baines CJ, Miller AB, Wall C, Lund E, Stalsberg H, Shu XO, Zheng W, Katsouyanni K, Trichopoulou A, Trichopoulos D, Dabancens A, Martinez L, Molina R, Salas O, Alexander XE, Anderson K, Folsom AR, Hulka BS, Bernstein L, Enger S, Haile RW, Paganini-Hill A, Pike MC, Ross RK, Ursin G, Yu MC, Longnecker MP, Newcomb P, Kalache A, Farley TMM, Holck S, Meirik O, and Universitat de Barcelona
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Cancer Research ,medicine.medical_specialty ,Epidemiology ,Dones ,Alcohol ,tobacco ,smoking ,Càncer de mama ,chemistry.chemical_compound ,Breast cancer ,Hàbit de fumar ,breast cancer ,Tabac ,Tobacco ,[SDV.SPEE] Life Sciences [q-bio]/Public Health and Epidemiology ,medicine ,Women ,Gynecology ,collaborative reanalysis ,Obstetrics ,business.industry ,alcohol ,Confounding ,Smoking ,medicine.disease ,Tobbacco habit ,Oncology ,chemistry ,Drinking of alcoholic beverages ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Meta-analysis ,Relative risk ,Consum d'alcohol ,Risk assessment ,business ,Developed country - Abstract
COLLABORATORS (in alphabetical order of institution, study name, or location) Aichi Cancer Research Institute, Nagoya, Japan: N Hamajima, K Hirose, K Tajima; Albert Einstein College of Medicine, NY, USA: T Rohan; American Cancer Society, GA, USA: EE Calle, CW Jr Heath; Atlanta, Emory University, GA, USA: RJ Coates, JM Liff; Aviano Cancer Center, Pordenone, Italy: R Talamini; Mahidol University, Bangkok, Thailand: N Chantarakul, S Koetsawang, D Rachawat; Breast Tumor Collaborative Study, Johns Hopkins University, MD, USA: A Morabia, L Schuman, W Stewart, M Szklo; University of Queensland, Brisbane, Australia: C Bain, F Schofield, V Siskind; British Columbia Cancer Agency, BC, Canada: P Band, AJ Coldman, RP Gallagher, TG Hislop, P Yang; Cancer Research Center, University of Hawaii, Hawaii, USA: LM Kolonel, AMY Nomura; Canadian Cancer Registries Epidemiology Research Group, Canada: J Hu, KC Johnson, Y Mao; Catalán Institut of Oncology, Barcelona, Spain: S De Sanjosé; Centers for Disease Control & Prevention, GA, USA: N Lee, P Marchbanks, HW Ory, HB Peterson, HG Wilson, PA Wingo; Central Institute of Cancer Research, Berlin, Germany: K Ebeling, D Kunde, P Nishan; Centre for Genetic Epidemiology, University of Melbourne, Melbourne, Australia: JL Hopper; Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, MA, USA: G Colditz for Nurses' Health Study Research Group; Chennai Cancer Institute, Madras, India: V Gajalakshmi; Chiang Mai University, Chiang Mai, Thailand: N Martin, T Pardthaisong, S Silpisornkosol, C Theetranont; Chulalongkorn University, Bangkok, Thailand: B Boosiri, S Chutivongse, P Jimakorn, P Virutamasen, C Wongsrichanalai; Danish Cancer Society, Aalborg, Denmark: M Ewertz; Department of Medical Epidemiology, Karolinska Institute, Stockholm, Sweden: HO Adami, L Bergkvist, C Magnusson, I Persson; Deutsches Krebsforschungszentrum, Heidelberg, Germany: J Chang-Claude; University of Otago, Dunedin, New Zealand: C Paul, DCG Skegg, GFS Spears; European Institute of Oncology, Milan, Italy: P Boyle, T Evstifeeva; Fred Hutchinson Cancer Research Center, WA, USA: JR Daling, WB Hutchinson, K Malone, EA Noonan, JL Stanford, DB Thomas, NS Weiss, E White; French Multicentre Breast Study, INSERM, Villejuif, France: N Andrieu, A Brêmond, F Clavel, B Gairard, J Lansac, L Piana, R Renaud; Girona Cancer Registry, Girona, Spain: A Izquierdo, P Viladiu; Hospital General de Mexico, Mexico City, Mexico: HR Cuevas, P Ontiveros, A Palet, SB Salazar; Hospital Universitario, Cali, Colombia: N Aristizabal, A Cuadros; Icelandic Cancer Society, Reykjavik, Iceland: L Tryggvadottir, H Tulinius; INSERM, Institut Gustave-Roussey, Villejuif, France: A Bachelot, MG Lê; Institute of Cancer Research, Sutton and London School of Hygiene and Tropical Medicine, UK: J Peto; International Agency for Research in Cancer, Lyon, France: S Franceschi; Israel Chaim Sheba Medical Centre, Tel-Hashomer, Israel: F Lubin, B Modan, E Ron, Y Wax; Kaiser Permanente, CA, USA: GD Friedman, RA Hiatt; Institut universitaire de medecine sociale et preventive, Lausanne, Switzerland: F Levi; Cancer Research UK Genetic Epidemiology Laboratory, Leeds, UK: T Bishop; Institute of Oncology, Ljubljana, Slovenia: K Kosmelj, M Primic-Zakelj, B Ravnihar, J Stare; Loma Linda University, CA, USA: WL Beeson, G Fraser; Cancer Research UK Department of Mathematics, Statistics & Epidemiology, London: RD Bulbrook, J Cuzick, SW Duffy, IS Fentiman, JL Hayward, DY Wang; London School of Hygiene & Tropical Medicine, London, UK: AJ McMichael, K McPherson; Long Island Breast Cancer Study, NY, USA: RL Hanson, MC Leske, MC Mahoney, PC Nasca, AO Varma, AL Weinstein; University Hospital, Lund, Sweden: TR Moller, H Olsson, J Ranstam; Maastricht University, Maastricht, The Netherlands: RA Goldbohm, PA van den Brandt; University of Philippines, Manila, Philippines: RA Apelo, J Baens, JR de la Cruz, B Javier, LB Lacaya, CA Ngelangel; Istituto ‘Mario Negri', Milan, Italy: C La Vecchia, E Negri; Istituto Nazionale Tumori, Divisione di Statistica Medica e Biometria, Milan, Italy: E Marubini; Istituto di Statistica Medica e Biometria, Milan, Italy: M Ferraroni; Montpellier Cancer Centre & INSERM, Montpellier, France: M Gerber, S Richardson, C Segala; Nairobi Centre for Research in Reproduction, Nairobi, Kenya: D Gatei, P Kenya, A Kungu, JG Mati; National Cancer Institute, MD, USA: LA Brinton, R Hoover, C Schairer; National Institute of Child Health & Human Development, MD, USA: R Spirtas; National University of Singapore, Singapore: HP Lee; The Netherlands Cancer Institute, Amsterdam, The Netherlands: MA Rookus, FE van Leeuwen for the Netherlands Oral Contraceptives and Breast Cancer Study Group; New Jersey State Department of Health, NJ, USA: JA Schoenberg; New South Wales Cancer Council, Sydney, Australia: M McCredie; Columbia University School of Public Health, NY, USA: MD Gammon; Ontario Cancer Treatment & Research Foundation, Ontario, Canada: EA Clarke; Department of Public Health & Primary Care, Oxford, UK: L Jones, A Neil, M Vessey, D Yeates; Cancer Research UK Epidemiology Unit, Oxford, UK (Secretariat): P Appleby, E Banks, V Beral, D Bull, B Crossley, A Goodill, J Green, C Hermon, T Key, N Langston, C Lewis, G Reeves; Cancer Research UK/MRC/BHF Clinical Trial Service Unit & Epidemiological Studies Unit, Oxford, UK: R Collins, R Doll, R Peto; Radiation Effects Research Foundation, Hiroshima, Japan: K Mabuchi, D Preston; Royal College of General Practitioners Oral Contraception Study, London, UK: P Hannaford, C Kay; University of Costa Rica, San Jose, Costa Rica: L Rosero-Bixby; Shanghai Cancer Institute, Shanghai, China: YT Gao, F Jin, J-M Yuan; Shanghai Institute of Planned Parenthood Research, Shanghai, China: HY Wei, T Yun, C Zhiheng; Department of Public Health, Sydney, Australia: G Berry, J Cooper Booth, T Jelihovsky, R MacLennan, R Shearman; Tianjin Cancer Institute, Tianjin, China: Q-S Wang; Department of Public Health Sciences, Toronto, Canada: CJ Baines, AB Miller, C Wall; Tromso University, Tromso, Norway: E Lund, H Stalsberg; Vanderbilt University, TN, USA: XO Shu, W Zheng; University of Athens Medical School, Athens, Greece: K Katsouyanni, A Trichopoulou, D Trichopoulos; University of Chile, Santiago, Chile: A Dabancens, L Martinez, R Molina, O Salas; University of Edinburgh, Edinburgh, UK: FE Alexander; University of Minnesota School of Public Health, MN, USA: K Anderson, AR Folsom on behalf of the Iowa Women's Health Study; University of North Carolina at Chapel Hill, School of Public Health, NC, USA: BS Hulka; University of Nottingham, Nottingham, UK: CED Chilvers; University of Southern California, LA, USA: L Bernstein, S Enger, RW Haile, A Paganini-Hill, MC Pike, RK Ross, G Ursin, MC Yu; University of Wisconsin Comprehensive Cancer Center, WI, USA: MP Longnecker, P Newcomb for the 4 State Study; Vasteras, Sweden: L Bergkvist; World Health Organisation, Geneva, Switzerland: A Kalache; World Health Organisation, UNDP/UNFPA/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Geneva, Switzerland: TMM Farley, S Holck, O Meirik. Analysis and writing committee: Beral V, Bull D, Doll R, Peto R, Reeves G Steering committee: Skegg D (Chairman), Colditz G, Hulka B, La Vecchia C, Magnusson C, Muller A, Peterson B, Pike M, Thomas D, Van Leeuven M.; International audience; Alcohol and tobacco consumption are closely correlated and published results on their association with breast cancer have not always allowed adequately for confounding between these exposures. Over 80% of the relevant information worldwide on alcohol and tobacco consumption and breast cancer were collated, checked and analysed centrally. Analyses included 58,515 women with invasive breast cancer and 95,067 controls from 53 studies. Relative risks of breast cancer were estimated, after stratifying by study, age, parity and, where appropriate, women's age when their first child was born and consumption of alcohol and tobacco. The average consumption of alcohol reported by controls from developed countries was 6.0 g per day, i.e. about half a unit/drink of alcohol per day, and was greater in ever-smokers than never-smokers, (8.4 g per day and 5.0 g per day, respectively). Compared with women who reported drinking no alcohol, the relative risk of breast cancer was 1.32 (1.19-1.45, P/=45 g per day alcohol. The relative risk of breast cancer increased by 7.1% (95% CI 5.5-8.7%; P
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- 2002
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32. Gastric Malignancy Survival in Zambia, Southern Africa: A two year follow up study
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Asombang, AW, Kayamba, V, Turner-Moss, E, Banda, L, Colditz, G, Mudenda, V, Zulu, R, Sinkala, E, Kelly, P, Asombang, AW, Kayamba, V, Turner-Moss, E, Banda, L, Colditz, G, Mudenda, V, Zulu, R, Sinkala, E, and Kelly, P
- Abstract
Background: Gastric cancer poses a significant global health burden. It is the second most common cause of cancer death worldwide and the ninth leading cause of cancer mortality in Zambia, at a rate of 3.8/100,000; comparable to USA (2/100,000) and UK (3.4/100,000). Survival data on gastric malignancy in Zambia is not known.Objectives: To provide preliminary survival rates of patients with histologically proven gastric adenocarcinoma in Zambia.Study Design: Using our prospective gastric cancer research database, we conducted a retrospective audit of patients diagnosed with gastric cancer at the University Teaching Hospital, Zambia, from June 2010 until January 2012. We contacted patients or their relatives using phone numbers provided at time of enrollment.Main Outcomes: We reviewed age, sex, demographic data (income, education), body mass index, symptoms, duration of symptoms, treatment (surgery, chemotherapy, radiotherapy or combination) and survival outcome. Analysis was performed using Kaplan-Meier models and log rank test.Results: Fifty one patients were diagnosed with gastric adenocarcinoma during the study period, but follow-up data were available for 50. Median survival was 142 days. Age, sex, income, education, BMI, tumor location, and treatment modality were not significantly associated with overall survival. In Cox regression models, covariates associated with survival were a history of regular alcohol intake (HR 0.49, 95%CI 0.26,0.92; P=0.025) and intestinal type cancer histology (HR 0.40, 95%CI 0.19,0.83; P=0.01).Conclusion: Prognosis of newly diagnosed gastric cancer in Zambia is poor with significant mortality within 1 yearof diagnosis, particularly among patients with weight loss and dysphagia.
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- 2014
33. Haplotype analysis of the HSD17B1 gene and risk of breast cancer: A comprehensive approach to multicenter analyses of prospective cohort studies
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Feigelson, HS Cox, DG Cann, HM Wacholder, S Kaaks, R and Henderson, BE Albanes, D Altshuler, D Berglund, G and Berrino, F Bingham, S Buring, JE Burtt, NP Calle, EE and Chanock, SJ Clavel-Chapelon, F Colditz, G Diver, WR and Freedman, ML Haiman, CA Hankinson, SE Hayes, RB and Hirschhorn, JN Hunter, D Kolonel, LN Kraft, P and LeMarchand, L Linseisen, J Modi, W Navarro, C Peeters, PH Pike, MC Riboli, E Setiawan, VW Stram, DO Thomas, G Thun, MJ Tjonneland, A Trichopoulos, D
- Abstract
The 17 beta-hydroxysteroid dehydrogenase 1 gene (HSD17B1) encodes 17HSD1, which catalyzes the final step of estradiol biosynthesis. Despite the important role of HSD17B1 in hormone metabolism, few epidemiologic studies of HSD17B1 and breast cancer have been conducted. This study includes 5,370 breast cancer cases and 7,480 matched controls from five large cohorts in the Breast and Prostate Cancer Cohort Consortium. We characterized variation in HSD17B1 by resequencing and dense genotyping a multiethnic sample and identified haplotype-tagging single nucleotide polymorphisms (htSNP) that capture common variation within a 33.3-kb region around HSD17B1. Four htSNPs, including the previously studied SNP rs605059 (S312G), were genotyped to tag five common haplotypes in all cases and controls. Conditional logistic regression was used to estimate odds ratios (OR) for disease. We found no evidence of association between common HSD17B1 haplotypes or htSNPs and overall risk of breast cancer. The OR for each haplotype relative to the most common haplotype ranged from 0.98 to 1.07 (omnibus test for association: X-2 = 3.77, P = 0.58, 5 degrees of freedom). When cases were subdivided by estrogen receptor (ER) status, two common haplotypes were associated with ER-negative tumors (test for trend, Ps = 0.0009 and 0.0076; n = 353 cases). HSD17B1 variants that are common in Caucasians are not associated with overall risk of breast cancer; however, there was an association among the subset of ER-negative tumors. Although the probability that these ER-negative findings are false-positive results is high, these findings were consistent across each cohort examined and warrant further study.
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- 2006
34. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
- Author
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Wang, Z., primary, Zhu, B., additional, Zhang, M., additional, Parikh, H., additional, Jia, J., additional, Chung, C. C., additional, Sampson, J. N., additional, Hoskins, J. W., additional, Hutchinson, A., additional, Burdette, L., additional, Ibrahim, A., additional, Hautman, C., additional, Raj, P. S., additional, Abnet, C. C., additional, Adjei, A. A., additional, Ahlbom, A., additional, Albanes, D., additional, Allen, N. E., additional, Ambrosone, C. B., additional, Aldrich, M., additional, Amiano, P., additional, Amos, C., additional, Andersson, U., additional, Andriole, G., additional, Andrulis, I. L., additional, Arici, C., additional, Arslan, A. A., additional, Austin, M. A., additional, Baris, D., additional, Barkauskas, D. A., additional, Bassig, B. A., additional, Beane Freeman, L. E., additional, Berg, C. D., additional, Berndt, S. I., additional, Bertazzi, P. A., additional, Biritwum, R. B., additional, Black, A., additional, Blot, W., additional, Boeing, H., additional, Boffetta, P., additional, Bolton, K., additional, Boutron-Ruault, M.-C., additional, Bracci, P. M., additional, Brennan, P., additional, Brinton, L. A., additional, Brotzman, M., additional, Bueno-de-Mesquita, H. B., additional, Buring, J. E., additional, Butler, M. A., additional, Cai, Q., additional, Cancel-Tassin, G., additional, Canzian, F., additional, Cao, G., additional, Caporaso, N. E., additional, Carrato, A., additional, Carreon, T., additional, Carta, A., additional, Chang, G.-C., additional, Chang, I.-S., additional, Chang-Claude, J., additional, Che, X., additional, Chen, C.-J., additional, Chen, C.-Y., additional, Chen, C.-H., additional, Chen, C., additional, Chen, K.-Y., additional, Chen, Y.-M., additional, Chokkalingam, A. P., additional, Chu, L. W., additional, Clavel-Chapelon, F., additional, Colditz, G. A., additional, Colt, J. S., additional, Conti, D., additional, Cook, M. B., additional, Cortessis, V. K., additional, Crawford, E. D., additional, Cussenot, O., additional, Davis, F. G., additional, De Vivo, I., additional, Deng, X., additional, Ding, T., additional, Dinney, C. P., additional, Di Stefano, A. L., additional, Diver, W. R., additional, Duell, E. J., additional, Elena, J. W., additional, Fan, J.-H., additional, Feigelson, H. S., additional, Feychting, M., additional, Figueroa, J. D., additional, Flanagan, A. M., additional, Fraumeni, J. F., additional, Freedman, N. D., additional, Fridley, B. L., additional, Fuchs, C. S., additional, Gago-Dominguez, M., additional, Gallinger, S., additional, Gao, Y.-T., additional, Gapstur, S. M., additional, Garcia-Closas, M., additional, Garcia-Closas, R., additional, Gastier-Foster, J. M., additional, Gaziano, J. M., additional, Gerhard, D. S., additional, Giffen, C. A., additional, Giles, G. G., additional, Gillanders, E. M., additional, Giovannucci, E. L., additional, Goggins, M., additional, Gokgoz, N., additional, Goldstein, A. M., additional, Gonzalez, C., additional, Gorlick, R., additional, Greene, M. H., additional, Gross, M., additional, Grossman, H. B., additional, Grubb, R., additional, Gu, J., additional, Guan, P., additional, Haiman, C. A., additional, Hallmans, G., additional, Hankinson, S. E., additional, Harris, C. C., additional, Hartge, P., additional, Hattinger, C., additional, Hayes, R. B., additional, He, Q., additional, Helman, L., additional, Henderson, B. E., additional, Henriksson, R., additional, Hoffman-Bolton, J., additional, Hohensee, C., additional, Holly, E. A., additional, Hong, Y.-C., additional, Hoover, R. N., additional, Hosgood, H. D., additional, Hsiao, C.-F., additional, Hsing, A. W., additional, Hsiung, C. A., additional, Hu, N., additional, Hu, W., additional, Hu, Z., additional, Huang, M.-S., additional, Hunter, D. J., additional, Inskip, P. D., additional, Ito, H., additional, Jacobs, E. J., additional, Jacobs, K. B., additional, Jenab, M., additional, Ji, B.-T., additional, Johansen, C., additional, Johansson, M., additional, Johnson, A., additional, Kaaks, R., additional, Kamat, A. M., additional, Kamineni, A., additional, Karagas, M., additional, Khanna, C., additional, Khaw, K.-T., additional, Kim, C., additional, Kim, I.-S., additional, Kim, J. H., additional, Kim, Y. H., additional, Kim, Y.-C., additional, Kim, Y. T., additional, Kang, C. H., additional, Jung, Y. J., additional, Kitahara, C. M., additional, Klein, A. P., additional, Klein, R., additional, Kogevinas, M., additional, Koh, W.-P., additional, Kohno, T., additional, Kolonel, L. N., additional, Kooperberg, C., additional, Kratz, C. P., additional, Krogh, V., additional, Kunitoh, H., additional, Kurtz, R. C., additional, Kurucu, N., additional, Lan, Q., additional, Lathrop, M., additional, Lau, C. C., additional, Lecanda, F., additional, Lee, K.-M., additional, Lee, M. P., additional, Le Marchand, L., additional, Lerner, S. P., additional, Li, D., additional, Liao, L. M., additional, Lim, W.-Y., additional, Lin, D., additional, Lin, J., additional, Lindstrom, S., additional, Linet, M. S., additional, Lissowska, J., additional, Liu, J., additional, Ljungberg, B., additional, Lloreta, J., additional, Lu, D., additional, Ma, J., additional, Malats, N., additional, Mannisto, S., additional, Marina, N., additional, Mastrangelo, G., additional, Matsuo, K., additional, McGlynn, K. A., additional, McKean-Cowdin, R., additional, McNeill, L. H., additional, McWilliams, R. R., additional, Melin, B. S., additional, Meltzer, P. S., additional, Mensah, J. E., additional, Miao, X., additional, Michaud, D. S., additional, Mondul, A. M., additional, Moore, L. E., additional, Muir, K., additional, Niwa, S., additional, Olson, S. H., additional, Orr, N., additional, Panico, S., additional, Park, J. Y., additional, Patel, A. V., additional, Patino-Garcia, A., additional, Pavanello, S., additional, Peeters, P. H. M., additional, Peplonska, B., additional, Peters, U., additional, Petersen, G. M., additional, Picci, P., additional, Pike, M. C., additional, Porru, S., additional, Prescott, J., additional, Pu, X., additional, Purdue, M. P., additional, Qiao, Y.-L., additional, Rajaraman, P., additional, Riboli, E., additional, Risch, H. A., additional, Rodabough, R. J., additional, Rothman, N., additional, Ruder, A. M., additional, Ryu, J.-S., additional, Sanson, M., additional, Schned, A., additional, Schumacher, F. R., additional, Schwartz, A. G., additional, Schwartz, K. L., additional, Schwenn, M., additional, Scotlandi, K., additional, Seow, A., additional, Serra, C., additional, Serra, M., additional, Sesso, H. D., additional, Severi, G., additional, Shen, H., additional, Shen, M., additional, Shete, S., additional, Shiraishi, K., additional, Shu, X.-O., additional, Siddiq, A., additional, Sierrasesumaga, L., additional, Sierri, S., additional, Loon Sihoe, A. D., additional, Silverman, D. T., additional, Simon, M., additional, Southey, M. C., additional, Spector, L., additional, Spitz, M., additional, Stampfer, M., additional, Stattin, P., additional, Stern, M. C., additional, Stevens, V. L., additional, Stolzenberg-Solomon, R. Z., additional, Stram, D. O., additional, Strom, S. S., additional, Su, W.-C., additional, Sund, M., additional, Sung, S. W., additional, Swerdlow, A., additional, Tan, W., additional, Tanaka, H., additional, Tang, W., additional, Tang, Z.-Z., additional, Tardon, A., additional, Tay, E., additional, Taylor, P. R., additional, Tettey, Y., additional, Thomas, D. M., additional, Tirabosco, R., additional, Tjonneland, A., additional, Tobias, G. S., additional, Toro, J. R., additional, Travis, R. C., additional, Trichopoulos, D., additional, Troisi, R., additional, Truelove, A., additional, Tsai, Y.-H., additional, Tucker, M. A., additional, Tumino, R., additional, Van Den Berg, D., additional, Van Den Eeden, S. K., additional, Vermeulen, R., additional, Vineis, P., additional, Visvanathan, K., additional, Vogel, U., additional, Wang, C., additional, Wang, J., additional, Wang, S. S., additional, Weiderpass, E., additional, Weinstein, S. J., additional, Wentzensen, N., additional, Wheeler, W., additional, White, E., additional, Wiencke, J. K., additional, Wolk, A., additional, Wolpin, B. M., additional, Wong, M. P., additional, Wrensch, M., additional, Wu, C., additional, Wu, T., additional, Wu, X., additional, Wu, Y.-L., additional, Wunder, J. S., additional, Xiang, Y.-B., additional, Xu, J., additional, Yang, H. P., additional, Yang, P.-C., additional, Yatabe, Y., additional, Ye, Y., additional, Yeboah, E. D., additional, Yin, Z., additional, Ying, C., additional, Yu, C.-J., additional, Yu, K., additional, Yuan, J.-M., additional, Zanetti, K. A., additional, Zeleniuch-Jacquotte, A., additional, Zheng, W., additional, Zhou, B., additional, Mirabello, L., additional, Savage, S. A., additional, Kraft, P., additional, Chanock, S. J., additional, Yeager, M., additional, Landi, M. T., additional, Shi, J., additional, Chatterjee, N., additional, and Amundadottir, L. T., additional
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- 2014
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35. Diabetes and pancreatic cancer survival: a prospective cohort-based study
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Toriola, A T, primary, Stolzenberg-Solomon, R, additional, Dalidowitz, L, additional, Linehan, D, additional, and Colditz, G, additional
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- 2014
- Full Text
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36. Early versus 6–12 week postpartum glucose tolerance testing for women with gestational diabetes
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Carter, E B, Martin, S, Temming, L A, Colditz, G A, Macones, G A, and Tuuli, M G
- Abstract
Objective:The objective of this study is to estimate the accuracy of early oral glucose tolerance testing (GTT), to predict impaired glucose tolerance.Study Design:This was a prospective cohort study. Women received an early 75 g 2 h GTT between postpartum days 2–4 and again 6–12 weeks postpartum. The ability of the early GTT to accurately detect impaired glucose tolerance and diabetes was assessed by calculating sensitivity, specificity, positive predictive value (PPV) and negative predictive values (NPVs). The routine 6–12-week postpartum GTT was considered the gold standard.Results:The early GTT was completed by 100% of subjects, whereas only 31 of 58 (53%) women returned to complete the 6–12-week postpartum GTT. The early GTT had modest sensitivity for impaired glucose tolerance (62.5%) and overt diabetes (50%). However, it had excellent specificity (100%), PPV (100%) and NPV (96.7%) for diabetes. The NPV for impaired glucose tolerance with the early GTT was 80%.Conclusion:Rates of 6–12 week postpartum GTT completion among patients with gestational diabetes is poor. Appropriate postpartum management may improve by using the early GTT as a screening test.
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- 2018
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37. Alcohol, tobacco and breast cancer - collaborative reanalysis of individual data from 53 epidemiological studies, including 58515 women with breast cancer and 95067 women without the disease
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Beral, V Hamajima, N Hirose, K Rohan, T Calle, EE and Heath, CW Coates, RJ Liff, JM Talamini, R Chantarakul, N and Koetsawang, S Rachawat, D Morabia, A Schuman, L and Stewart, W Szklo, M Bain, C Schofield, F Siskind, V and Band, P Coldman, AJ Gallagher, RP Hislop, TG Yang, P and Kolonel, LM Nomura, AMY Hu, J Johnson, KC Mao, Y De Sanjose, S Lee, N Marchbanks, P Ory, HW Peterson, HB and Wilson, HG Wingo, PA Ebeling, K Kunde, D Nishan, P and Hopper, JL Colditz, G Gajalakshmi, V Martin, N and Pardthaisong, T Solpisornkosol, S Theetranont, C Boosiri, B and Chutivongse, S Jimakorn, P Virutamasen, P and Wongsrichanalai, C Ewertz, M Adami, HO Bergkvist, L and Magnusson, C Persson, I Chang-Claude, J Paul, C Skegg, DCG Spears, GFS Boyle, P Evstifeeva, T Daling, JR and Hutchinson, WB Malone, K Noonan, EA Stanford, JL Thomas, DB Weiss, NS White, E Andrieu, N Bremond, A Clavel, F Gairard, B Lansac, J Piana, L Renaud, R Izquierdo, A Viladiu, P Cuevas, HR Ontiveros, P Palet, A and Salazar, SB Arsitizabal, N Cuadros, A Tryggvadottir, L and Tulinius, H Bachelot, A Le, MG Peto, J Franceschi, S and Lubin, F Modan, B Ron, E Wax, Y Friedman, GD Hiatt, RA Levi, F Bishop, T Kosmelj, K Primic-Zakelj, M and Ravnihar, B Stare, J Beeson, WL Fraser, G Bulbrook, RD and Cuzick, J Duffy, SW Fentiman, IS Hayward, JL Wang, DY McMichael, AJ McPherson, K Hanson, RL Leske, MC and Mahoney, MC Nasca, PC Varma, AO Weinstein, AL Moller, TR and Olsson, H Ranstam, J Goldbohm, RA van den Brandt, PA and Apelo, RA Baens, J de la Cruz, JR Javier, B Lacaya, LB and Ngelangel, CA La Vecchia, C Negri, E Marubini, E and Ferraroni, M Gerber, M Richardson, S Segala, C Gatei, D and Kenya, P Kungu, A Mati, JG Brinton, LA Hoover, R and Schairer, C Spirtas, R Lee, HP Rookus, MA van Leeuwen, FE Schoenberg, JA McCredie, M Gammon, MD Clarke, EA and Jones, L Neil, A Vessey, M Yeates, D Appleby, P and Banks, E Bull, D Crossley, B Goodill, A Green, J and Hermon, C Key, T Langston, N Lewis, C Reeves, G and Collins, R Doll, R Peto, R Mabuchi, K Preston, D and Hannaford, P Kay, C Rosero-Bixby, L Gao, YT Jin, F and Yuan, JM Wei, HY Yun, T Zhiheng, C Berry, G Cooper Booth, J Jelihovsky, T MacLennan, R Shearman, R Wang, QS and Baines, CJ Miller, AB Wall, C Lund, E Stalsberg, H and Shu, XO Zheng, W Katsouyanni, K Trichopoulou, A and Trichopoulos, D Dabancens, A Martinez, L Molina, R and Salas, O Alexander, XE Anderson, K Folsom, AR Hulka, BS and Bernstein, L Enger, S Haile, RW Paganini-Hill, A and Pike, MC Ross, RK Ursin, G Yu, MC Longnecker, MP and Newcomb, P Bergkvist, L Kalache, A Farley, TMM Holck, S and Meirik, O Collaborative Group on Hormonal Factors in Breast Cancer
- Abstract
Alcohol and tobacco consumption are closely correlated and published results on their association with breast cancer have not always allowed adequately for confounding between these exposures. Over 80% of the relevant information worldwide on alcohol and tobacco consumption and breast cancer were collated, checked and analysed centrally. Analyses included 58515 women with invasive breast cancer and 95067 controls from 53 studies. Relative risks of breast cancer were estimated, after stratifying by study, age, parity and, where appropriate, women’s age when their first child was born and consumption of alcohol and tobacco. The average consumption of alcohol reported by controls from developed countries was 6.0 g per day, i.e. about half a unit/drink of alcohol per day, and was greater in ever-smokers than never-smokers, (8.4 g per day and 5.0 g per day, respectively). Compared with women who reported drinking no alcohol, the relative risk of breast cancer was 1.32 (1.19 - 1.45, P < 0.00001) for an intake of 35 - 44 g per day alcohol, and 1.46 (1.33 - 1.61, P < 0.00001) for greater than or equal to 45 g per day alcohol. The relative risk of breast cancer increased by 7.1% (95% CI 5.5-8.7%; P
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- 2002
38. Differentially expressed genes regulating the progression of ductal carcinoma in situ to invasive breast cancer
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Lee, S., Stewart, S., Nagtegaal, I.D., Luo, J., Wu, Y., Colditz, G., Medina, D., Allred, D.C., Lee, S., Stewart, S., Nagtegaal, I.D., Luo, J., Wu, Y., Colditz, G., Medina, D., and Allred, D.C.
- Abstract
Contains fulltext : 110917pub.pdf (publisher's version ) (Closed access), Molecular mechanisms mediating the progression of ductal carcinoma in situ (DCIS) to invasive breast cancer remain largely unknown. We used gene expression profiling of human DCIS (n = 53) and invasive breast cancer (n = 51) to discover uniquely expressed genes that may also regulate progression. There were 470 total differentially expressed genes (>/=2-fold; P < 0.05). Elevated expression of genes involved in synthesis and organization of extracellular matrix was particularly prominent in the epithelium of invasive breast cancer. The degree of overlap of the genes with nine similar studies in the literature was determined to help prioritize their potential importance, resulting in 74 showing overlap in >/=2 studies (average 3.6 studies/gene; range 2-8 studies). Using hierarchical clustering, the 74-gene profile correctly categorized 96% of samples in this study and 94% of samples from 3 similar independent studies. To study the progression of DCIS to invasive breast cancer in vivo, we introduced human DCIS cell lines engineered to express specific genes into a "mammary intraductal DCIS" xenograft model. Progression of xenografts to invasive breast cancer was dramatically increased by suppressing four genes that were usually elevated in clinical samples of DCIS, including a protease inhibitor (CSTA) and genes involved in cell adhesion and signaling (FAT1, DST, and TMEM45A), strongly suggesting that they normally function to suppress progression. In summary, we have identified unique gene expression profiles of human DCIS and invasive breast cancer, which include novel genes regulating tumor progression. Targeting some of these genes may improve the detection, diagnosis, and therapy of DCIS.
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- 2012
39. Cancer Disparities: Unmet Challenges in the Elimination of Disparities
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Gehlert, S., Gehlert, S., Colditz, G. A., Gehlert, S., Gehlert, S., and Colditz, G. A.
- Published
- 2011
40. Alcohol Intake Between Menarche and First Pregnancy: A Prospective Study of Breast Cancer Risk
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Liu, Y., primary, Colditz, G. A., additional, Rosner, B., additional, Berkey, C. S., additional, Collins, L. C., additional, Schnitt, S. J., additional, Connolly, J. L., additional, Chen, W. Y., additional, Willett, W. C., additional, and Tamimi, R. M., additional
- Published
- 2013
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41. Cancer and Beyond: Healthy Lifestyle Choices for Cancer Survivors
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Wolin, K. Y., primary and Colditz, G. A., additional
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- 2013
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42. A pooled analysis of 12 cohort studies of dietary fat, cholesterol and egg intake and ovarian cancer
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Genkinger, J M, Hunter, D J, Spiegelman, D, Anderson, K E, Beeson, W L, Buring, J E, Colditz, G A, Fraser, G E, Freudenheim, J L, Goldbohm, R A, Hankinson, S E, Koenig, K L, Larsson, S C, Leitzmann, M, McCullough, M L, Miller, A B, Rodriguez, C, Rohan, T E, Ross, J A, Schatzkin, A, Schouten, L J, Smit, E, Willett, W C, Wolk, A, Zeleniuch-Jacquotte, A, Zhang, S M M, Smith-Warner, S, Genkinger, J M, Hunter, D J, Spiegelman, D, Anderson, K E, Beeson, W L, Buring, J E, Colditz, G A, Fraser, G E, Freudenheim, J L, Goldbohm, R A, Hankinson, S E, Koenig, K L, Larsson, S C, Leitzmann, M, McCullough, M L, Miller, A B, Rodriguez, C, Rohan, T E, Ross, J A, Schatzkin, A, Schouten, L J, Smit, E, Willett, W C, Wolk, A, Zeleniuch-Jacquotte, A, Zhang, S M M, and Smith-Warner, S
- Abstract
Fat and cholesterol are theorized to promote ovarian carcinogenesis by increasing circulating estrogen levels. Although case-control studies have reported positive associations between total and saturated fat intake and ovarian cancer risk, two cohort studies have observed null associations. Dietary cholesterol and eggs have been positively associated with ovarian cancer risk. A pooled analysis was conducted on 12 cohort studies. Among 523,217 women, 2,132 incident epithelial ovarian cancer cases were identified. Study-specific relative risks (RR) and 95% confidence intervals (CI) were calculated by Cox proportional hazards models, and then pooled using a random effects model. Total fat intake was not associated with ovarian cancer risk (pooled multivariate RR = 1.08, 95% CI 0.86-1.34 comparing >= 45 to 30-< 35% of calories). No association was observed for monounsaturated, polyunsaturated, trans-unsaturated, animal and vegetable fat, cholesterol and egg intakes with ovarian cancer risk. A weakly positive, but non-linear association, was observed for saturated fat intake (pooled multivariate RR = 1.29, 95% CI: 1.01-1.66 comparing highest versus lowest decile). Results for histologic subtypes were similar. Overall, fat, cholesterol and egg intakes were not associated with ovarian cancer risk. The positive association for saturated fat intake at very high intakes merits further investigation.
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- 2006
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43. Haplotype analysis of the HSD17B1 gene and risk of breast cancer: a comprehensive approach to multicenter analyses of prospective cohort studies.
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Feigelson, H.S., Cox, D.G., Cann, H.M., Wacholder, S., Kaaks, R., Henderson, B.E., Albanes, D., Altshuler, D., Berglund, G., Berrino, F., Bingham, S, Buring, J.E., Burtt, N.P., Calle, E.E., Chanock, S.J., Clavel-Chapelon, F., Colditz, G., Diver, W.R., Freedman, M.L., Haiman, C.A., Hankinson, S.E., Hayes, R.B., Hirschhorn, J.N., Hunter, D., Kolonel, L.N., Kraft, P., LeMarchand, L., Linseisen, J., Modi, W., Navarro, C., Peeters, P.H.M., Pike, M.C., Riboli, E., Setiawan, V.W., Stram, D.O., Thomas, G., Thun, M.J., Tjonneland, A., Trichopoulos, D., Feigelson, H.S., Cox, D.G., Cann, H.M., Wacholder, S., Kaaks, R., Henderson, B.E., Albanes, D., Altshuler, D., Berglund, G., Berrino, F., Bingham, S, Buring, J.E., Burtt, N.P., Calle, E.E., Chanock, S.J., Clavel-Chapelon, F., Colditz, G., Diver, W.R., Freedman, M.L., Haiman, C.A., Hankinson, S.E., Hayes, R.B., Hirschhorn, J.N., Hunter, D., Kolonel, L.N., Kraft, P., LeMarchand, L., Linseisen, J., Modi, W., Navarro, C., Peeters, P.H.M., Pike, M.C., Riboli, E., Setiawan, V.W., Stram, D.O., Thomas, G., Thun, M.J., Tjonneland, A., and Trichopoulos, D.
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- 2006
44. Haplotype analysis of the HSD17B1 gene and risk of breast cancer: a comprehensive approach to multicenter analyses of prospective cohort studies.
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JC onderzoeksprogramma Kanker, Epidemiology & Health Economics, Feigelson, H.S., Cox, D.G., Cann, H.M., Wacholder, S., Kaaks, R., Henderson, B.E., Albanes, D., Altshuler, D., Berglund, G., Berrino, F., Bingham, S, Buring, J.E., Burtt, N.P., Calle, E.E., Chanock, S.J., Clavel-Chapelon, F., Colditz, G., Diver, W.R., Freedman, M.L., Haiman, C.A., Hankinson, S.E., Hayes, R.B., Hirschhorn, J.N., Hunter, D., Kolonel, L.N., Kraft, P., LeMarchand, L., Linseisen, J., Modi, W., Navarro, C., Peeters, P.H.M., Pike, M.C., Riboli, E., Setiawan, V.W., Stram, D.O., Thomas, G., Thun, M.J., Tjonneland, A., Trichopoulos, D., JC onderzoeksprogramma Kanker, Epidemiology & Health Economics, Feigelson, H.S., Cox, D.G., Cann, H.M., Wacholder, S., Kaaks, R., Henderson, B.E., Albanes, D., Altshuler, D., Berglund, G., Berrino, F., Bingham, S, Buring, J.E., Burtt, N.P., Calle, E.E., Chanock, S.J., Clavel-Chapelon, F., Colditz, G., Diver, W.R., Freedman, M.L., Haiman, C.A., Hankinson, S.E., Hayes, R.B., Hirschhorn, J.N., Hunter, D., Kolonel, L.N., Kraft, P., LeMarchand, L., Linseisen, J., Modi, W., Navarro, C., Peeters, P.H.M., Pike, M.C., Riboli, E., Setiawan, V.W., Stram, D.O., Thomas, G., Thun, M.J., Tjonneland, A., and Trichopoulos, D.
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- 2006
45. Alcohol and postmenopausal breast cancer risk defined by estrogen and progesterone receptor status : A prospective cohort study
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Suzuki, R, Ye, W M, Rylander-Rudqvist, T, Saji, S, Colditz, G A, Wolk, A, Suzuki, R, Ye, W M, Rylander-Rudqvist, T, Saji, S, Colditz, G A, and Wolk, A
- Abstract
Background: Alcohol intake has been reported to be positively associated with an increased risk of postmenopausal breast cancer; however, the association with the estrogen receptor (ER) and progesterone receptor (PR) status of the breast tumors remains unclear. Methods: Self-reported data on alcohol consumption were collected in 1987 and 1997 from 51847 postmenopausal women in the population-based Swedish Mammography Cohort. Through June 30,2004,1188 invasive breast cancer case patients with known ER and PR status were identified during an average 8.3-year follow-up. We used Cox proportional hazards models to estimate multivariable relative risks (RRs) of breast cancer, adjusting for age; family history of breast cancer; body mass index; height; parity; age at menarche, first birth, and menopause; education level; use of postmenopausal hormones; and diet. Heterogeneity among groups was evaluated using the Wald test. All statistical tests were two-sided. Results: Alcohol consumption was associated with an increased risk for the development of ER-positive (+) tumors, irrespective of PR status (highest intake [ >= 10 g of alcohol per day] versus nondrinkers, multivariable RR = 1.35, 95% confidence interval [CI] = 1.02 to 1.80; P-trend < .049 for ER+PR+ tumors; and RR = 2.36, 95% CI = 1.56 to 3.56; P-trend < .001 for ER+PR-tumors). The absolute rate of ER+ breast cancer (standardized to the age distribution of person-years experienced by all study participants using 5-year age categories) was 232 per 100000 person-years among women in the highest category of alcohol intake, and 158 per 100000 person-years among nondrinkers. No association was observed between alcohol intake and the risk of developing ER-tumors. Furthermore, we observed a statistically significant interaction between alcohol intake and the use of postmenopausal hormones on the risk for ER+PR+ tumors (P-interaction = .039). Conclusion: The observed association between risk of developing postmenop
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- 2005
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46. Fruits and vegetables and ovarian cancer risk in a pooled analysis of 12 cohort studies
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Koushik, A, Hunter, D J, Spiegelman, D, Anderson, K E, Arslan, A A, Beeson, W L, van den Brandt, P A, Buring, J E, Cerhan, J R, Colditz, G A, Fraser, G E, Freudenheim, J L, Genkinger, J M, Goldbohm, R A, Hankinson, S E, Koenig, K L, Larsson, S C, Leitzmann, M, McCullough, M L, Miller, A B, Patel, A, Rohan, T E, Schatzkin, A, Smit, E, Willett, W C, Wolk, A, Zhang, S M M, Smith-Warner, S A, Koushik, A, Hunter, D J, Spiegelman, D, Anderson, K E, Arslan, A A, Beeson, W L, van den Brandt, P A, Buring, J E, Cerhan, J R, Colditz, G A, Fraser, G E, Freudenheim, J L, Genkinger, J M, Goldbohm, R A, Hankinson, S E, Koenig, K L, Larsson, S C, Leitzmann, M, McCullough, M L, Miller, A B, Patel, A, Rohan, T E, Schatzkin, A, Smit, E, Willett, W C, Wolk, A, Zhang, S M M, and Smith-Warner, S A
- Abstract
Because fruits and vegetables are rich in bioactive compounds with potential cancer-preventive actions, increased consumption may reduce the risk of ovarian cancer. Evidence on the association between fruit and vegetable intake and ovarian cancer risk has not been consistent. We analyzed and pooled the primary data from 12 prospective studies in North America and Europe. Fruit and vegetable intake was measured at baseline in each study using a validated food frequency questionnaire. To summarize the association between fruit and vegetable intake and ovarian cancer, study-specific relative risks (RR) were estimated using the Cox proportional hazards model, and then combined using a random-effects model. Among 560,441 women, 2,130 cases of invasive epithelial ovarian cancer occurred during a maximum follow-up of 7 to 22 years across studies. Total fruit intake was not associated with ovarian cancer risk-the pooled multivariate RR for the highest versus the lowest quartile of intake was 1.06 [95% confidence interval (95% CI), 0.92-1.21; P value, test for trend = 0.73; P value, test for between-studies heterogeneity = 0.741. Similarly, results for total vegetable intake indicated no significant association (pooled multivariate RR, 0.90; 95% Cl, 0.78-1.04, for the highest versus the lowest quartile; P value, test for trend = 0.06; P value, test for between-studies heterogeneity = 0.31). Intakes of botanically defined fruit and vegetable groups and individual fruits and vegetables were also not associated with ovarian cancer risk. Associations for total fruits and vegetables were similar for different histologic types. These results suggest that fruit and vegetable consumption in adulthood has no important association with the risk of ovarian cancer.
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- 2005
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47. Alcohol consumption and risk of lung cancer: a pooled analysis of cohort studies
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Freudenheim, J.L., Freudenheim, J.L., Ritz, J., Smith Warner, S.A., Albanes, D., Bandera, E.V., van den Brandt, P.A., Colditz, G., Feskanich, D., Goldbohm, R.A., Harnack, L., Miller, A.B., Rimm, E., Rohan, T.E., Sellers, T.A., Virtamo, J., Willett, W.C., Hunter, D.J., Freudenheim, J.L., Freudenheim, J.L., Ritz, J., Smith Warner, S.A., Albanes, D., Bandera, E.V., van den Brandt, P.A., Colditz, G., Feskanich, D., Goldbohm, R.A., Harnack, L., Miller, A.B., Rimm, E., Rohan, T.E., Sellers, T.A., Virtamo, J., Willett, W.C., and Hunter, D.J.
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BACKGROUND: Although smoking is the primary cause of lung cancer, much is unknown about lung cancer etiology, including risk determinants for nonsmokers and modifying factors for smokers. OBJECTIVE: We hypothesized that alcohol consumption contributes to lung cancer risk. DESIGN: We conducted a pooled analysis using standardized exposure and covariate data from 7 prospective studies with 399,767 participants and 3137 lung cancer cases. Study-specific relative risks (RRs) and CIs were estimated and then combined to calculate pooled multivariate RRs by using a random-effects model. RESULTS: We found a slightly greater risk for the consumption of > or = 30 g alcohol/d than for that of 0 g alcohol/d in men (RR: 1.21; 95% CI: 0.91, 1.61; P for trend = 0.03) and in women (RR: 1.16; 95% CI: 0.94, 1.43; P for trend = 0.03). In male never smokers, the RR for consumption of > or = 15 g alcohol/d rather than 0 g alcohol/d was 6.38 (95% CI: 2.74, 14.9; P for trend < 0.001). In women, there were few never-smoking cases and no evidence of greater risk (RR: 1.35; 95% CI: 0.64, 2.87). Because of possible residual confounding by smoking, we performed sensitivity analyses by reclassifying the never smokers in the highest drinking category as former smokers. Resulting associations for alcohol consumption were somewhat attenuated, but P for trend = 0.05 for men, which was near the original P = 0.03. CONCLUSIONS: A slightly greater risk of lung cancer was associated with the consumption of > or = 30 g alcohol/d than with no alcohol consumption. Alcohol consumption was strongly associated with greater risk in male never smokers. Residual confounding by smoking may explain part of the observed relation.
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- 2005
48. Dairy foods, calcium, and colorectal cancer : A pooled analysis of 10 cohort studies
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Cho, E, Smith-Warner, S A, Spiegelman, D, Beeson, W L, van den Brandt, P A, Colditz, G A, Folsom, A R, Fraser, G E, Freudenheim, J L, Giovannucci, E, Goldbohm, R A, Graham, S, Miller, A B, Pietinen, P, Potter, J D, Rohan, T E, Terry, P, Toniolo, P, Virtanen, M J, Willett, W C, Wolk, A, Wu, K, Yaun, S S, Zeleniuch-Jacquotte, A, Hunter, D J, Cho, E, Smith-Warner, S A, Spiegelman, D, Beeson, W L, van den Brandt, P A, Colditz, G A, Folsom, A R, Fraser, G E, Freudenheim, J L, Giovannucci, E, Goldbohm, R A, Graham, S, Miller, A B, Pietinen, P, Potter, J D, Rohan, T E, Terry, P, Toniolo, P, Virtanen, M J, Willett, W C, Wolk, A, Wu, K, Yaun, S S, Zeleniuch-Jacquotte, A, and Hunter, D J
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Background. Studies in animals have suggested that calcium may reduce the risk of colorectal cancer. However, results from epidemiologic studies of intake of calcium or dairy foods and colorectal cancer risk have been inconclusive. Methods: We pooled the primary data from 10 cohort studies in five countries that assessed usual dietary intake by using a validated food frequency questionnaire at baseline. For most studies, follow-up was extended beyond that in the original publication. The studies included 534 536 individuals, among whom 4992 incident cases of colorectal cancer were diagnosed between 6 and 16 years of follow-up. Pooled multivariable relative risks for categories of milk intake and quintiles of calcium intake and 95% confidence intervals (CIs) were calculated. All statistical tests were two-sided. Results: Milk intake was related to a reduced risk of colorectal cancer. Compared with the lowest category of intake (<70 g/day), relative risks of colorectal cancer for increasing categories (70-174, 175-249, and greater than or equal to250 g/day) of milk intake were 0.94 (95% CI = 0.86 to 1.02), 0.88 (95% CI = 0.81 to 0.96), and 0.85 (95% CI = 0.78 to 0.94), respectively (P-trend<.001). Calcium intake was also inversely related to the risk of colorectal cancer. The relative risk for the highest versus the lowest quintile of intake was 0.86 (95% CI = 0.78 to 0.95; P-trend = .02) for dietary calcium and 0.78 (95% CI = 0.69 to 0.88; P-trend<.001) for total calcium (combining dietary and supplemental sources). These results were consistent across studies and sex. The inverse association for milk was limited to cancers of the distal colon (P-trend<.001) and rectum (P-trend = .02). Conclusion: Higher consumption of milk and calcium is associated with a lower risk of colorectal cancer.
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- 2004
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49. Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies
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Männistö, S., Smith-Warner, S.A., Spiegelman, D., Albanes, D., Anderson, K., Brandt, P.A. van den, Cerhan, J.R., Colditz, G., Feskanich, D., Freudenheim, J.L., Giovannucci, E., Goldbohm, R.A., Graham, S., Miller, A.B., Rohan, T.E., Virtamo, J., Willett, W.C., Hunter, D.J., Männistö, S., Smith-Warner, S.A., Spiegelman, D., Albanes, D., Anderson, K., Brandt, P.A. van den, Cerhan, J.R., Colditz, G., Feskanich, D., Freudenheim, J.L., Giovannucci, E., Goldbohm, R.A., Graham, S., Miller, A.B., Rohan, T.E., Virtamo, J., Willett, W.C., and Hunter, D.J.
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Intervention trials with supplemental β-carotene have observed either no effect or a harmful effect on lung cancer risk. Because food composition databases for specific carotenoids have only become available recently, epidemiological evidence relating usual dietary levels of these carotenoids with lung cancer risk is limited. We analyzed the association between lung cancer risk and intakes of specific carotenoids using the primary data from seven cohort studies in North America and Europe. Carotenoid intakes were estimated from dietary questionnaires administered at baseline in each study. We calculated study-specific multivariate relative risks (RRs) and combined these using a random-effects model. The multivariate models included smoking history and other potential risk factors. During follow-up of up to 7-16 years across studies, 3,155 incident lung cancer cases were diagnosed among 399,765 participants. β-Carotene intake was not associated with lung cancer risk (pooled multivariate RR = 0.98; 95% confidence interval, 0.87-1.11; highest versus lowest quintile). The RRs for α-carotene, lutein/zeaxanthin, and lycopene were also close to unity. β-Cryptoxanthin intake was inversely associated with lung cancer risk (RR = 0.76; 95% confidence interval, 0.67-0. 86; highest versus lowest quintile). These results did not change after adjustment for intakes of vitamin C (with or without supplements), folate (with or without supplements), and other carotenoids and multivitamin use. The associations generally were similar among never, past, or current smokers and by histological type. Although smoking is the strongest risk factor for lung cancer, greater intake of foods high in β-cryptoxanthin, such as citrus fruit, may modestly lower the risk.
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- 2004
50. Mammographic Breast Density and Subsequent Risk of Breast Cancer in Postmenopausal Women According to Tumor Characteristics
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Yaghjyan, L., primary, Colditz, G. A., additional, Collins, L. C., additional, Schnitt, S. J., additional, Rosner, B., additional, Vachon, C., additional, and Tamimi, R. M., additional
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- 2011
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