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5 results on '"Wang-Gohrke S"'

1. Risk of Ovarian Cancer and the NF-? B Pathway: Genetic Association with IL1A and TNFSF10

Author

Charbonneau, B., Block, M. S., Bamlet, W. R., Vierkant, R. A., Kalli, K. R., Fogarty, Z., Rider, D. N., Sellers, T. A., Tworoger, S. S., Poole, E., Risch, H. A., Salvesen, H. B., Kiemeney, L. A., Baglietto, L., Giles, G. G., Severi, G., Trabert, B., Wentzensen, N., Chenevix-Trench, G., Whittemore, A. S., Sieh, W., Chang-Claude, J., Bandera, E. V., Orlow, I., Terry, K., Goodman, M. T., Thompson, P. J., Cook, L. S., Rossing, M. A., Ness, R. B., Narod, S. A., Kupryjanczyk, J., Lu, K., Butzow, R., Dork, T., Pejovic, T., Campbell, I., Le, N. D., Bunker, C. H., Bogdanova, N., Runnebaum, I. B., Eccles, D., Paul, J., Wu, A. H., Gayther, S. A., Hogdall, E., Heitz, F., Kaye, S. B., Karlan, B. Y., Anton-Culver, H., Gronwald, J., Hogdall, C. K., Lambrechts, D., Fasching, P. A., Menon, U., Schildkraut, J., Pearce, C. L., Levine, D. A., Kjaer, S. K., Cramer, D., Flanagan, J. M., Phelan, C. M., Brown, R., Massuger, L. F. A. G., Song, H., Doherty, J. A., Krakstad, C., Liang, D., Odunsi, K., Berchuck, A., Jensen, A., Lubinski, J., Nevanlinna, H., Bean, Y. T., Lurie, G., Ziogas, A., Walsh, C., Despierre, E., Brinton, L., Hein, A., Rudolph, A., Dansonka-Mieszkowska, A., Olson, S. H., Harter, P., Tyrer, J., Vitonis, A. F., Brooks-Wilson, A., Aben, K. K., Pike, M. C., Ramus, S. J., Wik, E., Cybulski, C., Lin, J., Sucheston, L., Edwards, R., McGuire, V., Lester, J., du Bois, A., Lundvall, L., Wang-Gohrke, S., Szafron, L. M., Lambrechts, S., Yang, H., Beckmann, M. W., Pelttari, L. M., Van Altena, A. M., van den Berg, D., Halle, M. K., Gentry-Maharaj, A., Schwaab, I., Chandran, U., Menkiszak, J., Ekici, A. B., Wilkens, L. R., Leminen, A., Modugno, F., Friel, G., Rothstein, J. H., Vergote, I., Garcia-Closas, M., Hildebrandt, M. A. T., Sobiczewski, P., Kelemen, L. E., Pharoah, P. D. P., Moysich, K., Knutson, K. L., Cunningham, J. M., Fridley, B. L., and Goode, E. L.

Published
2014
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2. Association of Genomic Domains in BRCA1 and BRCA2 with Prostate Cancer Risk and Aggressiveness.

Author

Patel VL, Busch EL, Friebel TM, Cronin A, Leslie G, McGuffog L, Adlard J, Agata S, Agnarsson BA, Ahmed M, Aittomäki K, Alducci E, Andrulis IL, Arason A, Arnold N, Artioli G, Arver B, Auber B, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barroso A, Barrowdale D, Belotti M, Benitez J, Bertelsen B, Blok MJ, Bodrogi I, Bonadona V, Bonanni B, Bondavalli D, Boonen SE, Borde J, Borg A, Bradbury AR, Brady A, Brewer C, Brunet J, Buecher B, Buys SS, Cabezas-Camarero S, Caldés T, Caliebe A, Caligo MA, Calvello M, Campbell IG, Carnevali I, Carrasco E, Chan TL, Chu ATW, Chung WK, Claes KBM, Collaborators GS, Collaborators E, Cook J, Cortesi L, Couch FJ, Daly MB, Damante G, Darder E, Davidson R, de la Hoya M, Puppa LD, Dennis J, Díez O, Ding YC, Ditsch N, Domchek SM, Donaldson A, Dworniczak B, Easton DF, Eccles DM, Eeles RA, Ehrencrona H, Ejlertsen B, Engel C, Evans DG, Faivre L, Faust U, Feliubadaló L, Foretova L, Fostira F, Fountzilas G, Frost D, García-Barberán V, Garre P, Gauthier-Villars M, Géczi L, Gehrig A, Gerdes AM, Gesta P, Giannini G, Glendon G, Godwin AK, Goldgar DE, Greene MH, Gutierrez-Barrera AM, Hahnen E, Hamann U, Hauke J, Herold N, Hogervorst FBL, Honisch E, Hopper JL, Hulick PJ, Investigators K, Investigators H, Izatt L, Jager A, James P, Janavicius R, Jensen UB, Jensen TD, Johannsson OT, John EM, Joseph V, Kang E, Kast K, Kiiski JI, Kim SW, Kim Z, Ko KP, Konstantopoulou I, Kramer G, Krogh L, Kruse TA, Kwong A, Larsen M, Lasset C, Lautrup C, Lazaro C, Lee J, Lee JW, Lee MH, Lemke J, Lesueur F, Liljegren A, Lindblom A, Llovet P, Lopez-Fernández A, Lopez-Perolio I, Lorca V, Loud JT, Ma ESK, Mai PL, Manoukian S, Mari V, Martin L, Matricardi L, Mebirouk N, Medici V, Meijers-Heijboer HEJ, Meindl A, Mensenkamp AR, Miller C, Gomes DM, Montagna M, Mooij TM, Moserle L, Mouret-Fourme E, Mulligan AM, Nathanson KL, Navratilova M, Nevanlinna H, Niederacher D, Nielsen FCC, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Ong KR, Osorio A, Ott CE, Palli D, Park SK, Parsons MT, Pedersen IS, Peissel B, Peixoto A, Pérez-Segura P, Peterlongo P, Petersen AH, Porteous ME, Pujana MA, Radice P, Ramser J, Rantala J, Rashid MU, Rhiem K, Rizzolo P, Robson ME, Rookus MA, Rossing CM, Ruddy KJ, Santos C, Saule C, Scarpitta R, Schmutzler RK, Schuster H, Senter L, Seynaeve CM, Shah PD, Sharma P, Shin VY, Silvestri V, Simard J, Singer CF, Skytte AB, Snape K, Solano AR, Soucy P, Southey MC, Spurdle AB, Steele L, Steinemann D, Stoppa-Lyonnet D, Stradella A, Sunde L, Sutter C, Tan YY, Teixeira MR, Teo SH, Thomassen M, Tibiletti MG, Tischkowitz M, Tognazzo S, Toland AE, Tommasi S, Torres D, Toss A, Trainer AH, Tung N, van Asperen CJ, van der Baan FH, van der Kolk LE, van der Luijt RB, van Hest LP, Varesco L, Varon-Mateeva R, Viel A, Vierstraete J, Villa R, von Wachenfeldt A, Wagner P, Wang-Gohrke S, Wappenschmidt B, Weitzel JN, Wieme G, Yadav S, Yannoukakos D, Yoon SY, Zanzottera C, Zorn KK, D'Amico AV, Freedman ML, Pomerantz MM, Chenevix-Trench G, Antoniou AC, Neuhausen SL, Ottini L, Nielsen HR, and Rebbeck TR

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Genetic Association Studies, Heterozygote, Humans, Male, Middle Aged, Prognosis, Risk Factors, Young Adult, BRCA1 Protein genetics, BRCA2 Protein genetics, Genetic Predisposition to Disease, Genomics methods, Mutation, Prostatic Neoplasms genetics, Prostatic Neoplasms pathology
Abstract

Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 ( BRCA1/2 ) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8+) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3' region of BRCA2 (c.7914+) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001-c.7913 [HR = 1.78; 95% confidence interval (CI), 1.25-2.52; P = 0.001], as well as elevated risk of Gleason 8+ prostate cancer (HR = 3.11; 95% CI, 1.63-5.95; P = 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR = 2.83; 95% CI, 1.71-4.68; P = 0.00004) and elevated risk of Gleason 8+ prostate cancer (HR = 4.95; 95% CI, 2.12-11.54; P = 0.0002). No genotype-phenotype associations were detected for PSVs in BRCA1 . These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer. SIGNIFICANCE: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual., (©2019 American Association for Cancer Research.)

Published
2020
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3. 19p13.1 is a triple-negative-specific breast cancer susceptibility locus.

Author

Stevens KN, Fredericksen Z, Vachon CM, Wang X, Margolin S, Lindblom A, Nevanlinna H, Greco D, Aittomäki K, Blomqvist C, Chang-Claude J, Vrieling A, Flesch-Janys D, Sinn HP, Wang-Gohrke S, Nickels S, Brauch H, Ko YD, Fischer HP, Schmutzler RK, Meindl A, Bartram CR, Schott S, Engel C, Godwin AK, Weaver J, Pathak HB, Sharma P, Brenner H, Müller H, Arndt V, Stegmaier C, Miron P, Yannoukakos D, Stavropoulou A, Fountzilas G, Gogas HJ, Swann R, Dwek M, Perkins A, Milne RL, Benítez J, Zamora MP, Pérez JI, Bojesen SE, Nielsen SF, Nordestgaard BG, Flyger H, Guénel P, Truong T, Menegaux F, Cordina-Duverger E, Burwinkel B, Marmé F, Schneeweiss A, Sohn C, Sawyer E, Tomlinson I, Kerin MJ, Peto J, Johnson N, Fletcher O, Dos Santos Silva I, Fasching PA, Beckmann MW, Hartmann A, Ekici AB, Lophatananon A, Muir K, Puttawibul P, Wiangnon S, Schmidt MK, Broeks A, Braaf LM, Rosenberg EH, Hopper JL, Apicella C, Park DJ, Southey MC, Swerdlow AJ, Ashworth A, Orr N, Schoemaker MJ, Anton-Culver H, Ziogas A, Bernstein L, Dur CC, Shen CY, Yu JC, Hsu HM, Hsiung CN, Hamann U, Dünnebier T, Rüdiger T, Ulmer HU, Pharoah PP, Dunning AM, Humphreys MK, Wang Q, Cox A, Cross SS, Reed MW, Hall P, Czene K, Ambrosone CB, Ademuyiwa F, Hwang H, Eccles DM, Garcia-Closas M, Figueroa JD, Sherman ME, Lissowska J, Devilee P, Seynaeve C, Tollenaar RA, Hooning MJ, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, John EM, Miron A, Alnæs GG, Kristensen V, Børresen-Dale AL, Giles GG, Baglietto L, McLean CA, Severi G, Kosel ML, Pankratz VS, Slager S, Olson JE, Radice P, Peterlongo P, Manoukian S, Barile M, Lambrechts D, Hatse S, Dieudonne AS, Christiaens MR, Chenevix-Trench G, Beesley J, Chen X, Mannermaa A, Kosma VM, Hartikainen JM, Soini Y, Easton DF, and Couch FJ

Subjects
Breast Neoplasms chemistry, Chromosome Mapping, Female, Genetic Loci, Humans, Receptors, Progesterone analysis, Risk, Breast Neoplasms genetics, Chromosomes, Human, Pair 19, Genetic Predisposition to Disease, Receptor, ErbB-2 analysis, Receptors, Estrogen analysis
Abstract

The 19p13.1 breast cancer susceptibility locus is a modifier of breast cancer risk in BRCA1 mutation carriers and is also associated with the risk of ovarian cancer. Here, we investigated 19p13.1 variation and risk of breast cancer subtypes, defined by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2) status, using 48,869 breast cancer cases and 49,787 controls from the Breast Cancer Association Consortium (BCAC). Variants from 19p13.1 were not associated with breast cancer overall or with ER-positive breast cancer but were significantly associated with ER-negative breast cancer risk [rs8170 OR, 1.10; 95% confidence interval (CI), 1.05-1.15; P = 3.49 × 10(-5)] and triple-negative (ER-, PR-, and HER2-negative) breast cancer (rs8170: OR, 1.22; 95% CI, 1.13-1.31; P = 2.22 × 10(-7)). However, rs8170 was no longer associated with ER-negative breast cancer risk when triple-negative cases were excluded (OR, 0.98; 95% CI, 0.89-1.07; P = 0.62). In addition, a combined analysis of triple-negative cases from BCAC and the Triple Negative Breast Cancer Consortium (TNBCC; N = 3,566) identified a genome-wide significant association between rs8170 and triple-negative breast cancer risk (OR, 1.25; 95% CI, 1.18-1.33; P = 3.31 × 10(-13)]. Thus, 19p13.1 is the first triple-negative-specific breast cancer risk locus and the first locus specific to a histologic subtype defined by ER, PR, and HER2 to be identified. These findings provide convincing evidence that genetic susceptibility to breast cancer varies by tumor subtype and that triple-negative tumors and other subtypes likely arise through distinct etiologic pathways., (©2012 AACR.)

Published
2012
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4. Breast cancer risk reduction and membrane-bound catechol O-methyltransferase genetic polymorphisms.

Author

Ji Y, Olson J, Zhang J, Hildebrandt M, Wang L, Ingle J, Fredericksen Z, Sellers T, Miller W, Dixon JM, Brauch H, Eichelbaum M, Justenhoven C, Hamann U, Ko Y, Brüning T, Chang-Claude J, Wang-Gohrke S, Schaid D, and Weinshilboum R

Subjects
Case-Control Studies, Female, Gene Expression Regulation, Neoplastic, Genome, Haplotypes, Humans, Middle Aged, Odds Ratio, Premenopause, Breast Neoplasms diagnosis, Breast Neoplasms pathology, Catechol O-Methyltransferase genetics, Cell Membrane enzymology, Genetic Predisposition to Disease, Polymorphism, Genetic, Risk
Abstract

Catechol O-methyltransferase (COMT)-catalyzed methylation of catecholestrogens has been proposed to play a protective role in estrogen-induced genotoxic carcinogenesis. We have taken a comprehensive approach to test the hypothesis that genetic variation in COMT might influence breast cancer risk. Fifteen COMT single nucleotide polymorphisms (SNPs) selected on the basis of in-depth resequencing of the COMT gene were genotyped in 1,482 DNA samples from a Mayo Clinic breast cancer case control study. Two common SNPs in the distal promoter for membrane-bound (MB) COMT, rs2020917 and rs737865, were associated with breast cancer risk reduction in premenopausal women in the Mayo Clinic study, with allele-specific odds ratios (OR) of 0.70 [95% confidence interval (CI), 0.52-0.95] and 0.68 (95% CI, 0.51-0.92), respectively. These two SNPs were then subjected to functional genomic analysis and were genotyped in an additional 3,683 DNA samples from two independent case control studies (GENICA and GESBC). Functional genomic experiments showed that these SNPs could up-regulate transcription and that they altered DNA-protein binding patterns. Furthermore, substrate kinetic and exon array analyses suggested a role for MB-COMT in catecholestrogen inactivation. The GENICA results were similar to the Mayo case control observations, with ORs of 0.85 (95% CI, 0.72-1.00) and 0.85 (95% CI, 0.72-1.01) for the two SNPs. No significant effect was observed in the GESBC study. These studies showed that two SNPs in the COMT distal promoter were associated with breast cancer risk reduction in two of three case control studies, compatible with the results of functional genomic experiments, suggesting a role for MB-COMT in breast cancer risk.

Published
2008
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5. Progesterone receptor gene polymorphism is associated with decreased risk for breast cancer by age 50.

Author

Wang-Gohrke S, Chang-Claude J, Becher H, Kieback DG, and Runnebaum IB

Subjects
Adult, Age Factors, Alleles, Case-Control Studies, Chromosomes, Human, Pair 11, Exons, Female, Gene Frequency, Genotype, Humans, Linkage Disequilibrium, Middle Aged, Mutation, Protein Isoforms, Risk Factors, Breast Neoplasms genetics, Polymorphism, Genetic, Receptors, Progesterone genetics
Abstract

In a population-based case-control study for breast cancer before the age of 51 years, 554 cases and 559 age-matched controls were genotyped for the polymorphic progesterone receptor allele PROGINS. Breast cancer risk was decreased in women carrying the PROGINS allele. The odds ratio adjusted for age and study region was 0.76 [95% confidence interval (CI), 0.58-1.00]. Compared with wild-type A1/A1 homozygotes, the odds ratio for A1/A2 heterozygotes and A2/A2 homozygotes was 0.82 (95% CI, 0.62-1.08) and 0.27 (95% CI, 0.10-0.74), respectively, suggesting a gene dosage effect of the A2 allele. There was suggestive evidence for a differential effect by menopausal status (P = 0.07) and by family history of breast cancer (P = 0.15).

Published
2000

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