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19 results on '"Ji, B.T."'

4. Pancreatitis and pancreatic cancer risk: a pooled analysis in the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author

Duell, E.J., Lucenteforte, E., Olson, S.H., Bracci, P.M., Li, D., Risch, H.A., Silverman, D.T., Ji, B.T., Gallinger, S., Holly, E.A., Fontham, E.H., Maisonneuve, P., Bueno-de-Mesquita, H.B., Ghadirian, P., Kurtz, R.C., Ludwig, E., Yu, H., Lowenfels, A.B., Seminara, D., Petersen, G.M., La Vecchia, C., and Boffetta, P.

Published
2012
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5. Cigarette smoking and pancreatic cancer: an analysis from the International Pancreatic Cancer Case-Control Consortium (Panc4)

Author

Bosetti, C., Lucenteforte, E., Silverman, D.T., Petersen, G., Bracci, P.M., Ji, B.T., Negri, E., Li, D., Risch, H.A., Olson, S.H., Gallinger, S., Miller, A.B., Bueno-de-Mesquita, H.B., Talamini, R., Polesel, J., Ghadirian, P., Baghurst, P.A., Zatonski, W., Fontham, E., Bamlet, W.R., Holly, E.A., Bertuccio, P., Gao, Y.T., Hassan, M., Yu, H., Kurtz, R.C., Cotterchio, M., Su, J., Maisonneuve, P., Duell, E.J., Boffetta, P., and La Vecchia, C.

Published
2012
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6. Alcohol consumption and pancreatic cancer: a pooled analysis in the International Pancreatic Cancer Case–Control Consortium (PanC4)

Author

Lucenteforte, E., La Vecchia, C., Silverman, D., Petersen, G.M., Bracci, P.M., Ji, B.T., Bosetti, C., Li, D., Gallinger, S., Miller, A.B., Bueno-de-Mesquita, H.B., Talamini, R., Polesel, J., Ghadirian, P., Baghurst, P.A., Zatonski, W., Fontham, E., Bamlet, W.R., Holly, E.A., Gao, Y.T., Negri, E., Hassan, M., Cotterchio, M., Su, J., Maisonneuve, P., Boffetta, P., and Duell, E.J.

Published
2012
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8. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

Author

Hampras, S.S., Sucheston-Campbell, L.E., Cannioto, R., Chang-Claude, J., Modugno, F., Dork, T., Hillemanns, P., Preus, L., Knutson, K.L., Wallace, P.K., Hong, C.C., Friel, G., Davis, W., Nesline, M., Pearce, C.L., Kelemen, L.E., Goodman, M.T., Bandera, E.V., Terry, K.L., Schoof, N., Eng, K.H., Clay, A., Singh, P.K., Joseph, J.M., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Baker, H., Bean, Y., Beckmann, M.W., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bruinsma, F., Butzow, R., Campbell, I.G., Carty, K., Cook, L.S., Cramer, D.W, Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Despierre, E., Dicks, E., Doherty, J.A., Bois, A. du, Durst, M., Easton, D., Eccles, D., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Gronwald, J., Harrington, P., Harter, P., Hasmad, H.N., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hogdall, C., Hogdall, E., Hosono, S., Iversen, E.S., Jakubowska, A., Jensen, A., Ji, B.T., Karlan, B.Y., Kellar, M., Kelley, J.L., Kiemeney, L.A.L.M., Klapdor, R., Kolomeyevskaya, N., Krakstad, C., Kjaer, S.K., Kruszka, B., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Liu, S., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F.A.G., Matsuo, K., McGuire, V., et al., Hampras, S.S., Sucheston-Campbell, L.E., Cannioto, R., Chang-Claude, J., Modugno, F., Dork, T., Hillemanns, P., Preus, L., Knutson, K.L., Wallace, P.K., Hong, C.C., Friel, G., Davis, W., Nesline, M., Pearce, C.L., Kelemen, L.E., Goodman, M.T., Bandera, E.V., Terry, K.L., Schoof, N., Eng, K.H., Clay, A., Singh, P.K., Joseph, J.M., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Baker, H., Bean, Y., Beckmann, M.W., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bruinsma, F., Butzow, R., Campbell, I.G., Carty, K., Cook, L.S., Cramer, D.W, Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Despierre, E., Dicks, E., Doherty, J.A., Bois, A. du, Durst, M., Easton, D., Eccles, D., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Gronwald, J., Harrington, P., Harter, P., Hasmad, H.N., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hogdall, C., Hogdall, E., Hosono, S., Iversen, E.S., Jakubowska, A., Jensen, A., Ji, B.T., Karlan, B.Y., Kellar, M., Kelley, J.L., Kiemeney, L.A.L.M., Klapdor, R., Kolomeyevskaya, N., Krakstad, C., Kjaer, S.K., Kruszka, B., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Liu, S., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F.A.G., Matsuo, K., McGuire, V., and et al.

Abstract

Contains fulltext : 167177.pdf (publisher's version ) (Open Access), BACKGROUND: Regulatory T (Treg) cells, a subset of CD4+ T lymphocytes, are mediators of immunosuppression in cancer, and, thus, variants in genes encoding Treg cell immune molecules could be associated with ovarian cancer. METHODS: In a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients. RESULTS: The most significant global associations for all genes in the pathway were seen in endometrioid (p = 0.082) and clear cell (p = 0.083), with the most significant gene level association seen with TGFBR2 (p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 (p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA (p = 0.035, endometrioid and mucinous), LGALS1 (p = 0.03, mucinous), STAT5B (p = 0.022, clear cell), TGFBR1 (p = 0.021 endometrioid) and TGFBR2 (p = 0.017 and p = 0.025, endometrioid and mucinous, respectively). CONCLUSIONS: Common inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients.

Published
2016

9. Combining a job-exposure matrix with exposure measurements to assess occupational exposure to benzene in a population cohort in shanghai, china

Author

Friesen, M.C., Coble, J.B., Lu, W., Shu, X.O., Ji, B.T., Xue, S., Portengen, L., Chow, W.H., Gao, Y.T., Yang, G., Rothman, N., Vermeulen, R., Risk Assessment of Toxic and Immunomodulatory Agents, and Dep IRAS

Abstract

BACKGROUND: Generic job-exposure matrices (JEMs) are often used in population-based epidemiologic studies to assess occupational risk factors when only the job and industry information of each subject is available. JEM ratings are often based on professional judgment, are usually ordinal or semi-quantitative, and often do not account for changes in exposure over time. We present an empirical Bayesian framework that combines ordinal subjective JEM ratings with benzene measurements. Our aim was to better discriminate between job, industry, and time differences in exposure levels compared to using a JEM alone. METHODS: We combined 63 221 short-term area air measurements of benzene exposure (1954-2000) collected during routine health and safety inspections in Shanghai, China, with independently developed JEM intensity ratings for each job and industry using a mixed-effects model. The fixed-effects terms included the JEM intensity ratings for job and industry (both ordinal, 0-3) and a time trend that we incorporated as a b-spline. The random-effects terms included job (n = 33) and industry nested within job (n = 399). We predicted the benzene concentration in two ways: (i) a calibrated JEM estimate was calculated using the fixed-effects model parameters for calendar year and JEM intensity ratings; (ii) a job-/industry-specific estimate was calculated using the fixed-effects model parameters and the best linear unbiased predictors from the random effects for job and industry using an empirical Bayes estimation procedure. Finally, we applied the predicted benzene exposures to a prospective population-based cohort of women in Shanghai, China (n = 74 942). RESULTS: Exposure levels were 13 times higher in 1965 than in 2000 and declined at a rate that varied from 4 to 15% per year from 1965 to 1985, followed by a small peak in the mid-1990s. The job-/industry-specific estimates had greater differences between exposure levels than the calibrated JEM estimates (97.5th percentile/2.5th percentile exposure level, (B)(G)R(95)(B): 20.4 versus 3.0, respectively). The calibrated JEM and job-/industry-specific estimates were moderately correlated in any given year (Pearson correlation, r(p) = 0.58). We classified only those jobs and industries with a job or industry JEM exposure probability rating of 3 (>50% of workers exposed) as exposed. As a result, 14.8% of the subjects and 8.7% of the employed person-years in the study population were classified as benzene exposed. The cumulative exposure metrics based on the calibrated JEM and job-/industry-specific estimates were highly correlated (r(p) = 0.88). CONCLUSIONS: We provide a useful framework for combining quantitative exposure data with expert-based exposure ratings in population-based studies that maximized the information from both sources. Our framework calibrated the ratings to a concentration scale between ratings and across time and provided a mechanism to estimate exposure when a job/industry group reported by a subject was not represented in the exposure database. It also allowed the job/industry groups' exposure levels to deviate from the pooled average for their respective JEM intensity ratings.

Published
2012

10. Physical activity and breast cancer risk in Chinese women

Author

Pronk, A., Ji, B.T., Shu, X.O., Chow, W.H., Xue, S., Yang, G, Li, H.L., Rothman, N., Gao, Y.T., Zheng, W., and Matthews, C.E.

Subjects
Life, Health, Biomedical Innovation, QS - Quality & Safety, EELS - Earth, Environmental and Life Sciences, Healthy Living
Abstract

Background: The influence of different types and intensities of physical activity on risk for breast cancer is unclear. Methods: In a prospective cohort of 73 049 Chinese women (40-70 years), who had worked outside the home, we studied breast cancer risk in relation to specific types of self-reported and work history-related physical activity, including adolescent and adult exercise and household activity and walking and cycling for transportation. Occupational sitting time and physical activity energy expenditure were assigned based on lifetime occupational histories. Results: In all, 717 incident breast cancer cases were diagnosed. Breast cancer risk was lower for women in the lowest quartile of average occupational sitting time and in the highest quartile of average occupational energy expenditure (adjusted hazard ratio (HR): 0.81 and 0.73, respectively, P≤0.05). Adult exercise at or above the recommended level (8 metabolic equivalent (MET) h per week per year) was associated with lower risk (adjusted HR: 0.73, P

Published
2011

11. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer

Author

Lawrenson, K., Li, Q., Kar, S., Seo, J.H., Tyrer, J., Spindler, T.J., Lee, J. van der, Chen, Y, Karst, A., Drapkin, R., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Baker, H., Bandera, E.V., Bean, Y., Beckmann, M.W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bruinsma, F., Butzow, R., Campbell, I.G., Carty, K., Chang-Claude, J., Chenevix-Trench, G., Chen, A, Chen, Z., Cook, L.S., Cramer, D.W, Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J.A., Dork, T., Bois, A. du, Durst, M., Eccles, D., Easton, D.T., Edwards, R.P., Eilber, U., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goode, E.L., Goodman, M.T., Grownwald, J., Harrington, P., Harter, P., Hasmad, H.N., Hein, A., Heitz, F., Hildebrandt, M.A., Hillemanns, P., Hogdall, E., Hogdall, C., Hosono, S., Iversen, E.S., Jakubowska, A., James, P., Jensen, A., Ji, B.T., Karlan, B.Y., Kjaer, S. Kruger, Kelemen, L.E., Kellar, M., Kelley, J.L., Kiemeney, L.A., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F., Matsuo, K., McGuire, V., McLaughlin, J.R., Nevanlinna, H., McNeish, I., Menon, U., Modugno, F., et al., Lawrenson, K., Li, Q., Kar, S., Seo, J.H., Tyrer, J., Spindler, T.J., Lee, J. van der, Chen, Y, Karst, A., Drapkin, R., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Baker, H., Bandera, E.V., Bean, Y., Beckmann, M.W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bruinsma, F., Butzow, R., Campbell, I.G., Carty, K., Chang-Claude, J., Chenevix-Trench, G., Chen, A, Chen, Z., Cook, L.S., Cramer, D.W, Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J.A., Dork, T., Bois, A. du, Durst, M., Eccles, D., Easton, D.T., Edwards, R.P., Eilber, U., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goode, E.L., Goodman, M.T., Grownwald, J., Harrington, P., Harter, P., Hasmad, H.N., Hein, A., Heitz, F., Hildebrandt, M.A., Hillemanns, P., Hogdall, E., Hogdall, C., Hosono, S., Iversen, E.S., Jakubowska, A., James, P., Jensen, A., Ji, B.T., Karlan, B.Y., Kjaer, S. Kruger, Kelemen, L.E., Kellar, M., Kelley, J.L., Kiemeney, L.A., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F., Matsuo, K., McGuire, V., McLaughlin, J.R., Nevanlinna, H., McNeish, I., Menon, U., Modugno, F., and et al.

Abstract

Contains fulltext : 154767.pdf (publisher's version ) (Open Access), Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P

Published
2015

12. Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk

Author

Chornokur, G., Lin, H.Y., Tyrer, J.P., Lawrenson, K., Dennis, J., Amankwah, E.K., Qu, X., Tsai, Y.Y., Jim, H.S., Chen, Z., Chen, A.Y., Permuth-Wey, J., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Bruinsma, F., Bandera, E.V., Bean, Y.T., Beckmann, M.W., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bunker, C.H., Butzow, R., Campbell, I.G., Carty, K., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Bois, A. du, Despierre, E., Dicks, E., Doherty, J.A., Dork, T., Durst, M., Easton, D.F., Eccles, D.M., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goodman, M.T., Gronwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hillemanns, P., Hogdall, C.K., Hogdall, E., Hosono, S., Jakubowska, A., Jensen, A., Ji, B.T., Karlan, B.Y., Kelemen, L.E., Kellar, M., Kiemeney, L.A.L.M., Krakstad, C., Kjaer, S.K., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lim, B.K., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F.A.G., Matsuo, K., McGuire, V., McLaughlin, J.R., McNeish, I., Menon, U., Milne, R.L., Modugno, F., Moysich, K.B., Ness, R.B., Nevanlinna, H., Eilber, U., Odunsi, K., Olson, S.H., Orlow, I., et al., Chornokur, G., Lin, H.Y., Tyrer, J.P., Lawrenson, K., Dennis, J., Amankwah, E.K., Qu, X., Tsai, Y.Y., Jim, H.S., Chen, Z., Chen, A.Y., Permuth-Wey, J., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Bruinsma, F., Bandera, E.V., Bean, Y.T., Beckmann, M.W., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L.A., Brooks-Wilson, A., Bunker, C.H., Butzow, R., Campbell, I.G., Carty, K., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Bois, A. du, Despierre, E., Dicks, E., Doherty, J.A., Dork, T., Durst, M., Easton, D.F., Eccles, D.M., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goodman, M.T., Gronwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hillemanns, P., Hogdall, C.K., Hogdall, E., Hosono, S., Jakubowska, A., Jensen, A., Ji, B.T., Karlan, B.Y., Kelemen, L.E., Kellar, M., Kiemeney, L.A.L.M., Krakstad, C., Kjaer, S.K., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lim, B.K., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F.A.G., Matsuo, K., McGuire, V., McLaughlin, J.R., McNeish, I., Menon, U., Milne, R.L., Modugno, F., Moysich, K.B., Ness, R.B., Nevanlinna, H., Eilber, U., Odunsi, K., Olson, S.H., and Orlow, I., et al.

Abstract

Contains fulltext : 154822.PDF (publisher's version ) (Open Access), BACKGROUND: Defective cellular transport processes can lead to aberrant accumulation of trace elements, iron, small molecules and hormones in the cell, which in turn may promote the formation of reactive oxygen species, promoting DNA damage and aberrant expression of key regulatory cancer genes. As DNA damage and uncontrolled proliferation are hallmarks of cancer, including epithelial ovarian cancer (EOC), we hypothesized that inherited variation in the cellular transport genes contributes to EOC risk. METHODS: In total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q<0.2 was applied to adjust for multiple comparisons. RESULTS: The most significant evidence of an association for all invasive cancers combined and for the serous subtype was observed for SNP rs17216603 in the iron transporter gene HEPH (invasive: OR = 0.85, P = 0.00026; serous: OR = 0.81, P = 0.00020); this SNP was also associated with the borderline/low malignant potential (LMP) tumors (P = 0.021). Other genes significantly associated with EOC histological subtypes (p<0.05) included the UGT1A (endometrioid), SLC25A45 (mucinous), SLC39A11 (low malignant potential), and SERPINA7 (clear cell carcinoma). In addition, 1785 SNPs in six genes (HEPH, MGST1, SERPINA, SLC25A45, SLC39A11 and UGT1A) were imputed from the 1000 Genomes Project and examined for association with INV EOC in white-European subjects. The most significant imputed SNP was rs117729793 in SLC39A11 (per allele, OR = 2.55, 95% CI = 1.5-4.35, p = 5.66x10-4). CONCLUSION: These results, generated on a large cohort of women, revealed associatio

Published
2015

13. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

Author

Kar, S.P., Tyrer, J.P., Li, Q., Lawrenson, K., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Chenevix-Trench, G., Baker, H., Bandera, E.V., Bean, Y.T., Beckmann, M.W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L., Brooks-Wilson, A., Butzow, R., Campbell, I., Carty, K., Chang-Claude, J., Chen, Y.A., Chen, Z., Cook, L.S., Cramer, D., Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J.A., Dork, T., Bois, A. du, Durst, M., Eccles, D., Easton, D.F., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goode, E.L., Goodman, M.T., Grownwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hillemanns, P., Hogdall, E., Hogdall, C.K., Hosono, S., Iversen, E.S., Jakubowska, A., Paul, J., Jensen, A., Ji, B.T., Karlan, B.Y., Kjaer, S.K., Kelemen, L.E., Kellar, M., Kelley, J., Kiemeney, L.A.L.M., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F., Matsuo, K., McGuire, V., McLaughlin, J.R., McNeish, I.A., Menon, U., Modugno, F., Moysich, K.B., Narod, S.A., Nedergaard, L., Ness, R.B., Nevanlinna, H., Odunsi, K., Olson, S.H., Orlow, I., Orsulic, S., Weber, R.P., Kar, S.P., Tyrer, J.P., Li, Q., Lawrenson, K., Aben, K.K.H., Anton-Culver, H., Antonenkova, N., Chenevix-Trench, G., Baker, H., Bandera, E.V., Bean, Y.T., Beckmann, M.W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L., Brooks-Wilson, A., Butzow, R., Campbell, I., Carty, K., Chang-Claude, J., Chen, Y.A., Chen, Z., Cook, L.S., Cramer, D., Cunningham, J.M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J.A., Dork, T., Bois, A. du, Durst, M., Eccles, D., Easton, D.F., Edwards, R.P., Ekici, A.B., Fasching, P.A., Fridley, B.L., Gao, Y.T., Gentry-Maharaj, A., Giles, G.G., Glasspool, R., Goode, E.L., Goodman, M.T., Grownwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M.A.T., Hillemanns, P., Hogdall, E., Hogdall, C.K., Hosono, S., Iversen, E.S., Jakubowska, A., Paul, J., Jensen, A., Ji, B.T., Karlan, B.Y., Kjaer, S.K., Kelemen, L.E., Kellar, M., Kelley, J., Kiemeney, L.A.L.M., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N.D., Lee, A.W., Lele, S., Leminen, A., Lester, J., Levine, D.A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L.F., Matsuo, K., McGuire, V., McLaughlin, J.R., McNeish, I.A., Menon, U., Modugno, F., Moysich, K.B., Narod, S.A., Nedergaard, L., Ness, R.B., Nevanlinna, H., Odunsi, K., Olson, S.H., Orlow, I., Orsulic, S., and Weber, R.P.

Abstract

Contains fulltext : 153484.pdf (publisher's version ) (Closed access), BACKGROUND: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574-84. (c)2015 AACR.

Published
2015

14. Night-shift work and breast cancer risk in a cohort of Chinese women

Author

Pronk, A., Ji, B.T., Shu, X.O., Xue, S., Yang, G., Li, H.L., Rothman, N., Gao, Y.T., Zheng, W., and Chow, W.H.

Subjects
Life, Health, Biomedical Innovation, QS - Quality & Safety, EELS - Earth, Environmental and Life Sciences, Healthy Living
Abstract

Shift work involving disruption of circadian rhythms has been classified as a probable cause of human cancer by the International Agency for Research on Cancer, based on limited epidemiologic evidence and abundant experimental evidence. The authors investigated this association in a population-based prospective cohort study of Chinese women. At baseline (1996–2000), information on lifetime occupational history was obtained from 73,049 women. Lifetime night-shift exposure indices were created using a job exposure matrix. During 2002–2004, self-reported data on frequency and duration of night-shift work were collected. Hazard ratios and 95% confidence intervals, adjusted for major breast cancer risk factors, were calculated. During follow-up through 2007, 717 incident cases of breast cancer were diagnosed. Breast cancer risk was not associated with ever working the night shift on the basis of the job exposure matrix (adjusted hazard ratio = 1.0, 95% confidence interval: 0.9, 1.2) or self-reported history of night-shift work (adjusted hazard ratio = 0.9, 95% confidence interval: 0.7, 1.1). Risk was also not associated with frequency, duration, or cumulative amount of night-shift work. There were no indications of effect modification. The lack of an association between night-shift work and breast cancer adds to the inconsistent epidemiologic evidence. It may be premature to consider shift work a cause of cancer.

Published
2010

15. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer

Author

Shen, H., Fridley, B.L., Song, H., Lawrenson, K., Cunningham, J.M., Ramus, S.J., Cicek, M.S., Tyrer, J., Stram, D., Larson, M.C., Kobel, M., Ziogas, A., Zheng, W., Yang, H.P., Wu, A.H., Wozniak, E.L., Ling Woo, Y., Winterhoff, B., Wik, E., Whittemore, A.S., Wentzensen, N., Palmieri Weber, R., Vitonis, A.F., Vincent, D., Vierkant, R.A., Vergote, I., Berg, D.P.G. van den, Altena, A.M. van, Tworoger, S.S., Thompson, P.J., Tessier, D.C., Terry, K.L., Teo, S.H., Templeman, C., Stram, D.O., Southey, M.C., Sieh, W., Siddiqui, N., Shvetsov, Y.B., Shu, X.O., Shridhar, V., Wang-Gohrke, S., Severi, G., Schwaab, I., Salvesen, H.B., Rzepecka, I.K., Runnebaum, I.B., Rossing, M.A., Rodriguez-Rodriguez, L., Risch, H.A., Renner, S.P., Poole, E.M., Pike, M.C., Phelan, C.M., Pelttari, L.M., Pejovic, T., Paul, J., Orlow, I., Zawiah Omar, S., Olson, S.H., Odunsi, K., Nickels, S., Nevanlinna, H., Ness, R.B., Narod, S.A., Nakanishi, T., Moysich, K.B., Monteiro, A.N., Moes-Sosnowska, J., Modugno, F., Menon, U., McLaughlin, J.R., McGuire, V., Matsuo, K., Mat Adenan, N.A., Massuger, L.F.A.G., Lurie, G., Lundvall, L., Lubinski, J., Lissowska, J., Levine, D.A., Leminen, A., Lee, A.W., Le, N.D., Lambrechts, S., Lambrechts, D., Kupryjanczyk, J., Krakstad, C., Konecny, G.E., Kruger Kjaer, S., Kiemeney, L.A.L.M., Kelemen, L.E., Keeney, G.L., Karlan, B.Y., Karevan, R., Kalli, K.R., Kajiyama, H., Ji, B.T., Jensen, A., Jakubowska, A., Iversen, E., Hosono, S., Hogdall, C.K., Hogdall, E., Hoatlin, M., Hillemans, P., Heitz, F., Hein, R., Harter, P., Halle, M.K., Hall, P., Gronwald, J., Gore, M., Goodman, M.T., Giles, G.G., Gentry-Maharaj, A., Garcia-Closas, M., Flanagan, J.M., Fasching, P.A., Ekici, A.B., Edwards, R., Eccles, D., Easton, D.F., Durst, M., Bois, A. du, Dork, T., Doherty, J.A., Despierre, E., Dansonka-Mieszkowska, A., Cybulski, C., Cramer, D.W, Cook, L.S., Chen, X., Charbonneau, B., Chang-Claude, J., Campbell, I., Butzow, R., Bunker, C.H., Brueggmann, D., Brown, R., Brooks-Wilson, A., Brinton, L.A., Bogdanova, N., Block, M.S., Benjamin, E., Beesley, J., Beckmann, M.W., Bandera, E.V., Baglietto, L., Bacot, F., Armasu, S.M., Antonenkova, N., Anton-Culver, H., Aben, K.K.H., Liang, D., et al., Shen, H., Fridley, B.L., Song, H., Lawrenson, K., Cunningham, J.M., Ramus, S.J., Cicek, M.S., Tyrer, J., Stram, D., Larson, M.C., Kobel, M., Ziogas, A., Zheng, W., Yang, H.P., Wu, A.H., Wozniak, E.L., Ling Woo, Y., Winterhoff, B., Wik, E., Whittemore, A.S., Wentzensen, N., Palmieri Weber, R., Vitonis, A.F., Vincent, D., Vierkant, R.A., Vergote, I., Berg, D.P.G. van den, Altena, A.M. van, Tworoger, S.S., Thompson, P.J., Tessier, D.C., Terry, K.L., Teo, S.H., Templeman, C., Stram, D.O., Southey, M.C., Sieh, W., Siddiqui, N., Shvetsov, Y.B., Shu, X.O., Shridhar, V., Wang-Gohrke, S., Severi, G., Schwaab, I., Salvesen, H.B., Rzepecka, I.K., Runnebaum, I.B., Rossing, M.A., Rodriguez-Rodriguez, L., Risch, H.A., Renner, S.P., Poole, E.M., Pike, M.C., Phelan, C.M., Pelttari, L.M., Pejovic, T., Paul, J., Orlow, I., Zawiah Omar, S., Olson, S.H., Odunsi, K., Nickels, S., Nevanlinna, H., Ness, R.B., Narod, S.A., Nakanishi, T., Moysich, K.B., Monteiro, A.N., Moes-Sosnowska, J., Modugno, F., Menon, U., McLaughlin, J.R., McGuire, V., Matsuo, K., Mat Adenan, N.A., Massuger, L.F.A.G., Lurie, G., Lundvall, L., Lubinski, J., Lissowska, J., Levine, D.A., Leminen, A., Lee, A.W., Le, N.D., Lambrechts, S., Lambrechts, D., Kupryjanczyk, J., Krakstad, C., Konecny, G.E., Kruger Kjaer, S., Kiemeney, L.A.L.M., Kelemen, L.E., Keeney, G.L., Karlan, B.Y., Karevan, R., Kalli, K.R., Kajiyama, H., Ji, B.T., Jensen, A., Jakubowska, A., Iversen, E., Hosono, S., Hogdall, C.K., Hogdall, E., Hoatlin, M., Hillemans, P., Heitz, F., Hein, R., Harter, P., Halle, M.K., Hall, P., Gronwald, J., Gore, M., Goodman, M.T., Giles, G.G., Gentry-Maharaj, A., Garcia-Closas, M., Flanagan, J.M., Fasching, P.A., Ekici, A.B., Edwards, R., Eccles, D., Easton, D.F., Durst, M., Bois, A. du, Dork, T., Doherty, J.A., Despierre, E., Dansonka-Mieszkowska, A., Cybulski, C., Cramer, D.W, Cook, L.S., Chen, X., Charbonneau, B., Chang-Claude, J., Campbell, I., Butzow, R., Bunker, C.H., Brueggmann, D., Brown, R., Brooks-Wilson, A., Brinton, L.A., Bogdanova, N., Block, M.S., Benjamin, E., Beesley, J., Beckmann, M.W., Bandera, E.V., Baglietto, L., Bacot, F., Armasu, S.M., Antonenkova, N., Anton-Culver, H., Aben, K.K.H., Liang, D., and et al.

Abstract

Contains fulltext : 118378.pdf (publisher's version ) (Open Access), HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 x 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 x 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.

Published
2013

16. Combining a job-exposure matrix with exposure measurements to assess occupational exposure to benzene in a population cohort in shanghai, china

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Friesen, M.C., Coble, J.B., Lu, W., Shu, X.O., Ji, B.T., Xue, S., Portengen, L., Chow, W.H., Gao, Y.T., Yang, G., Rothman, N., Vermeulen, R., Risk Assessment of Toxic and Immunomodulatory Agents, Dep IRAS, Friesen, M.C., Coble, J.B., Lu, W., Shu, X.O., Ji, B.T., Xue, S., Portengen, L., Chow, W.H., Gao, Y.T., Yang, G., Rothman, N., and Vermeulen, R.

Published
2012

18. Pancreatitis and pancreatic cancer risk: a pooled analysis in the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author

Robert C. Kurtz, Emmy Ludwig, E. A. Holly, Elizabeth T.H. Fontham, Gloria M. Petersen, Steve Gallinger, Herbert Yu, Albert B. Lowenfels, Patrick Maisonneuve, D. Silverman, Harvey A. Risch, Donghui Li, Paolo Boffetta, Paige M. Bracci, H. B. Bueno-de-Mesquita, Ersilia Lucenteforte, Bu Tian Ji, Eric J. Duell, C. La Vecchia, D. Seminara, Parviz Ghadirian, Sara H. Olson, Duell, E.J., Lucenteforte, E., Olson, S.H., Bracci, P.M., Li, D., Risch, H.A., Silverman, D.T., Ji, B.T., Gallinger, S., Holly, E.A., Fontham, E.H., Maisonneuve, P., Bueno-de-Mesquita, H.B., Ghadirian, P., Kurtz, R.C., Ludwig, E., Yu, H., Lowenfels, A.B., Seminara, D., Petersen, G.M., La Vecchia, C., and Boffetta, P.

Subjects
Male, medicine.medical_specialty, Alcohol Drinking, Population, Case-control studies, Pancreatic cancer, Pancreatitis, Pooled analysis, Risk factors, Adenocarcinoma, Gastroenterology, Diabetes Complications, Risk Factors, Internal medicine, Odds Ratio, Medicine, Humans, Risk factor, education, Aged, education.field_of_study, Hereditary pancreatitis, Pancreatiti, business.industry, General surgery, Smoking, Cancer, Hematology, Odds ratio, Original Articles, Middle Aged, medicine.disease, Pancreatic Neoplasms, medicine.anatomical_structure, Oncology, Case-Control Studies, Female, business, Pancreas
Abstract

Background: Pancreatitis is a known risk factor for pancreatic cancer; however, an unknown fraction of the disease is thought to be a consequence of tumor-related duct obstruction. Patients and methods: A pooled analysis of a history of pancreatitis and risk of pancreatic cancer was carried out considering the time interval between diagnoses and potential modification by covariates. Adjusted pooled odds ratios (ORs) and 95% confidence intervals (CIs) were estimated from 10 case-control studies (5048 cases of ductal pancreatic adenocarcinoma and 10 947 controls) taking part in the International Pancreatic Cancer Case-Control Consortium (PanC4). Results: The association between pancreatitis and pancreatic cancer was nearly three-fold at intervals of >2 years between diagnoses (OR: 2.71, 95% CI: 1.96-3.74) and much stronger at intervals of =2 years (OR: 13.56, 95% CI: 8.72-21.90) probably reflecting a combination of reverse causation and antecedent misdiagnosis of pancreas cancer as pancreatitis. The younger (2 years) pancreatitis (OR: 3.91, 95% CI: 2.53-6.04) than the older (=65 years) cases (OR: 1.68, 95% CI: 1.02-2.76; P value for interaction: 0.006). Conclusions: Despite a moderately strong association between pancreatitis (diagnosed before >2 years) and pancreatic cancer, the population attributable fraction was estimated at 1.34% (95% CI: 0.612-2.07%), suggesting that a relatively small proportion of pancreatic cancer might be avoided if pancreatitis could be prevented. © The Author 2012. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

Published
2012

19. Cigarette smoking and pancreatic cancer : an analysis from the International Pancreatic Cancer Case-Control Consortium (PanC4)

Author

Yu-Tang Gao, Parviz Ghadirian, E. A. Holly, Michelle Cotterchio, C. La Vecchia, Gloria M. Petersen, Steven Gallinger, Donghui Li, Patrick Maisonneuve, Cristina Bosetti, Elizabeth T. H. Fontham, R. Talamini, H. B. Bueno-de-Mesquita, Sara H. Olson, Paola Bertuccio, Paige M. Bracci, Jerry Polesel, Bu Tian Ji, Ersilia Lucenteforte, Debra T. Silverman, William R. Bamlet, J. Su, Witold Zatonski, Paolo Boffetta, Eva Negri, Peter A. Baghurst, Robert C. Kurtz, Manal M. Hassan, Anthony B. Miller, Herbert Yu, Harvey A. Risch, Eric J. Duell, International Prevention Research Institute (IPRI), The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Bosetti, C., Lucenteforte, E., Silverman, D.T., Petersen, G., Bracci, P.M., Ji, B.T., Negri, E., Li, D., Risch, H.A., Olson, S.H., Gallinger, S., Miller, A.B., Bueno-de-Mesquita, H.B., Talamini, R., Polesel, J., Ghadirian, P., Baghurst, P.A., Zatonski, W., Fontham, E., Bamlet, W.R., Holly, E.A., Bertuccio, P., Gao, Y.T., Hassan, M., Yu, H., Kurtz, R.C., Cotterchio, M., Su, J., Maisonneuve, P., Duell, E.J., Boffetta, P., and La Vecchia, C.

Subjects
medicine.medical_specialty, Multivariate analysis, analysi, pancreatic cancer, cigarette smoking, cancer, Sensitivity and Specificity, PANC4, Cigarette smoking, Internal medicine, Pancreatic cancer, Odds Ratio, medicine, case–control study, pooled analysis, Humans, and pancreatic, Case-Control Studies Humans Logistic Models Multivariate Analysis Odds Ratio Pancreatic Neoplasms/*etiology Sensitivity and Specificity Smoking/*adverse effects, Cigarette, Cancer, Pancreatic, business.industry, Smoking, Case-control study, Original Articles, Hematology, Odds ratio, medicine.disease, Former Smoker, Confidence interval, Surgery, Pancreatic Neoplasms, Case-Control, Logistic Models, Oncology, International, Case-Control Studies, Meta-analysis, Multivariate Analysis, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Corrigendum, business, Consortium
Abstract

Bosetti, C Lucenteforte, E Silverman, D T Petersen, G Bracci, P M Ji, B T Negri, E Li, D Risch, H A Olson, S H Gallinger, S Miller, A B Bueno-de-Mesquita, H B Talamini, R Polesel, J Ghadirian, P Baghurst, P A Zatonski, W Fontham, E Bamlet, W R Holly, E A Bertuccio, P Gao, Y T Hassan, M Yu, H Kurtz, R C Cotterchio, M Su, J Maisonneuve, P Duell, E J Boffetta, P La Vecchia, C eng 5R01-CA098870/CA/NCI NIH HHS/ CA098889/CA/NCI NIH HHS/ CA108370/CA/NCI NIH HHS/ CA109767/CA/NCI NIH HHS/ CA59706/CA/NCI NIH HHS/ CA89726/CA/NCI NIH HHS/ N01-CP-05225/CP/NCI NIH HHS/ N01-CP-05227/CP/NCI NIH HHS/ N01-CP-31022/CP/NCI NIH HHS/ N01-CP-51089/CP/NCI NIH HHS/ N01-CP-51090/CP/NCI NIH HHS/ N01-CP-51092/CP/NCI NIH HHS/ N01-PC-35136/PC/NCI NIH HHS/ P50 CA102701/CA/NCI NIH HHS/ R01 CA97075/CA/NCI NIH HHS/ Canadian Institutes of Health Research/Canada Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't England 2011/11/23 06:00 Ann Oncol. 2012 Jul;23(7):1880-8. doi: 10.1093/annonc/mdr541. Epub 2011 Nov 21.; International audience; BACKGROUND: To evaluate the dose-response relationship between cigarette smoking and pancreatic cancer and to examine the effects of temporal variables. METHODS: We analyzed data from 12 case-control studies within the International Pancreatic Cancer Case-Control Consortium (PanC4), including 6507 pancreatic cases and 12 890 controls. We estimated summary odds ratios (ORs) by pooling study-specific ORs using random-effects models. RESULTS: Compared with never smokers, the OR was 1.2 (95% confidence interval [CI] 1.0-1.3) for former smokers and 2.2 (95% CI 1.7-2.8) for current cigarette smokers, with a significant increasing trend in risk with increasing number of cigarettes among current smokers (OR=3.4 for >/=35 cigarettes per day, P for trend

Published
2012
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