5 results on '"Jud SM"'
Search Results
2. Langfristige Kosteneffektivität der Mammareduktionsplastik bei Patientinnen mit Makromastie aus Sicht der Kostenträger und der Gesellschaft
- Author
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Brendle-Behnisch, AM, Arkudas, A, Jud, SM, Schrauder, MG, Bani, MR, Rauh, C, Hack, CC, Horch, RE, Beckmann, MW, Lux, MP, Brendle-Behnisch, AM, Arkudas, A, Jud, SM, Schrauder, MG, Bani, MR, Rauh, C, Hack, CC, Horch, RE, Beckmann, MW, and Lux, MP
- Published
- 2019
3. Knowledge and attitudes regarding medical research studies among patients with breast cancer and gynecological diseases.
- Author
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Lux, MP, Hildebrandt, T, Knetzger, S-M, Schrauder, MG, Jud, SM, Hein, A, Rauh, C, Fasching, PA, Beckmann, MW, Thiel, FC, Lux, MP, Hildebrandt, T, Knetzger, S-M, Schrauder, MG, Jud, SM, Hein, A, Rauh, C, Fasching, PA, Beckmann, MW, and Thiel, FC
- Abstract
BACKGROUND: Medical research studies are becoming increasingly important for optimizing the prevention, diagnosis and treatment of illnesses. Participation in research studies can have many benefits for patients. In randomized and controlled clinical studies, they can receive the best possible medical care currently available. However, only a small proportion of patients nowadays are treated within the framework of medical research. The primary endpoint of this study was to discover what level of knowledge patients have about clinical studies and how they currently perceive them, in order to identify ways of optimizing the information provided about studies from the patients' point of view. METHODS: The study included 2546 patients (breast cancer 21.6%, gynecological cancer 8.3%, obstetrics 32.7%, endometriosis 7.8%, fertility treatment 3.2%, other benign gynecological illnesses 19.2%, no information for 7.2%) in the outpatient clinic (45.2%) and in the in-patient sector (54.8%) at the Department of Gynecology at Erlangen University Hospital and associated centers. In the single-center study, conducted between January 2011 and January 2012, the patients were asked about their level of knowledge regarding the background to medical research studies and the ways in which they are carried out and used. The patients were also asked how they perceived medical studies and how they thought study conditions might be optimized. The three-page questionnaire was included in the feedback sheet received by patients as part of the hospital's quality management system. RESULTS: As a whole, the group only had moderate knowledge about clinical studies. A majority of the respondents considered that studies were valuable (91.6%), but only a few were also willing to take part in them (58.4%). Knowledge and willingness to participate strongly depended on age (P < 0.001), educational level (P < 0.001) and patient group (P < 0.001). Most patients would prefer to decide about participating
- Published
- 2015
4. Genetic Predisposition to In Situ and Invasive Lobular Carcinoma of the Breast
- Author
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Gibson, G, Sawyer, E, Roylance, R, Petridis, C, Brook, MN, Nowinski, S, Papouli, E, Fletcher, O, Pinder, S, Hanby, A, Kohut, K, Gorman, P, Caneppele, M, Peto, J, Silva, IDS, Johnson, N, Swann, R, Dwek, M, Perkins, K-A, Gillett, C, Houlston, R, Ross, G, De Ieso, P, Southey, MC, Hopper, JL, Provenzano, E, Apicella, C, Wesseling, J, Cornelissen, S, Keeman, R, Fasching, PA, Jud, SM, Ekici, AB, Beckmann, MW, Kerin, MJ, Marme, F, Schneeweiss, A, Sohn, C, Burwinkel, B, Guenel, P, Truong, T, Laurent-Puig, P, Kerbrat, P, Bojesen, SE, Nordestgaard, BG, Nielsen, SF, Flyger, H, Milne, RL, Perez, JIA, Menendez, P, Benitez, J, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Meindl, A, Lichtner, P, Schmutzler, RK, Lochmann, M, Brauch, H, Fischer, H-P, Ko, Y-D, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Bogdanova, NV, Dork, T, Lindblom, A, Margolin, S, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Chenevix-Trench, G, Lambrechts, D, Weltens, C, Van Limbergen, E, Hatse, S, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Radice, P, Peterlongo, P, Bonanni, B, Volorio, S, Giles, GG, Severi, G, Baglietto, L, Mclean, CA, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Kristensen, V, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Kauppila, S, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Devillee, P, Tollenaar, RAEM, Seynaeve, CM, Kriege, M, Figueroa, J, Chanock, SJ, Sherman, ME, Hooning, MJ, Hollestelle, A, van den Ouweland, AMW, van Deurzen, CHM, Li, J, Czene, K, Humphreys, K, Cox, A, Cross, SS, Reed, MWR, Shah, M, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Swerdlow, A, Ashworth, A, Orr, N, Schoemaker, M, Couch, FJ, Hallberg, E, Gonzalez-Neira, A, Pita, G, Alonso, MR, Tessier, DC, Vincent, D, Bacot, F, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Dunning, AM, Hall, P, Easton, D, Pharoah, P, Schmidt, MK, Tomlinson, I, Garcia-Closas, M, Gibson, G, Sawyer, E, Roylance, R, Petridis, C, Brook, MN, Nowinski, S, Papouli, E, Fletcher, O, Pinder, S, Hanby, A, Kohut, K, Gorman, P, Caneppele, M, Peto, J, Silva, IDS, Johnson, N, Swann, R, Dwek, M, Perkins, K-A, Gillett, C, Houlston, R, Ross, G, De Ieso, P, Southey, MC, Hopper, JL, Provenzano, E, Apicella, C, Wesseling, J, Cornelissen, S, Keeman, R, Fasching, PA, Jud, SM, Ekici, AB, Beckmann, MW, Kerin, MJ, Marme, F, Schneeweiss, A, Sohn, C, Burwinkel, B, Guenel, P, Truong, T, Laurent-Puig, P, Kerbrat, P, Bojesen, SE, Nordestgaard, BG, Nielsen, SF, Flyger, H, Milne, RL, Perez, JIA, Menendez, P, Benitez, J, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Meindl, A, Lichtner, P, Schmutzler, RK, Lochmann, M, Brauch, H, Fischer, H-P, Ko, Y-D, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Bogdanova, NV, Dork, T, Lindblom, A, Margolin, S, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Chenevix-Trench, G, Lambrechts, D, Weltens, C, Van Limbergen, E, Hatse, S, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Radice, P, Peterlongo, P, Bonanni, B, Volorio, S, Giles, GG, Severi, G, Baglietto, L, Mclean, CA, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Goldberg, MS, Labreche, F, Dumont, M, Kristensen, V, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Kauppila, S, Andrulis, IL, Knight, JA, Glendon, G, Mulligan, AM, Devillee, P, Tollenaar, RAEM, Seynaeve, CM, Kriege, M, Figueroa, J, Chanock, SJ, Sherman, ME, Hooning, MJ, Hollestelle, A, van den Ouweland, AMW, van Deurzen, CHM, Li, J, Czene, K, Humphreys, K, Cox, A, Cross, SS, Reed, MWR, Shah, M, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Swerdlow, A, Ashworth, A, Orr, N, Schoemaker, M, Couch, FJ, Hallberg, E, Gonzalez-Neira, A, Pita, G, Alonso, MR, Tessier, DC, Vincent, D, Bacot, F, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Dunning, AM, Hall, P, Easton, D, Pharoah, P, Schmidt, MK, Tomlinson, I, and Garcia-Closas, M
- Abstract
Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09-1.18), P = 6.0 × 10(-10); P-het for ILC vs IDC ER+ tumors = 1.8 × 10(-4)). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P<0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, P-het = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11, rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although there is some heterogeneity between E
- Published
- 2014
5. Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk
- Author
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Vachon, CM, Scott, CG, Fasching, PA, Hall, P, Tamimi, RM, Li, J, Stone, J, Apicella, C, Odefrey, F, Gierach, GL, Jud, SM, Heusinger, K, Beckmann, MW, Pollan, M, Fernandez-Navarro, P, Gonzalez-Neira, A, Benitez, J, van Gils, CH, Lokate, M, Onland-Moret, NC, Peeters, PHM, Brown, J, Leyland, J, Varghese, JS, Easton, DF, Thompson, DJ, Luben, RN, Warren, RML, Wareham, NJ, Loos, RJF, Khaw, K-T, Ursin, G, Lee, E, Gayther, SA, Ramus, SJ, Eeles, RA, Leach, MO, Kwan-Lim, G, Couch, FJ, Giles, GG, Baglietto, L, Krishnan, K, Southey, MC, Le Marchand, L, Kolonel, LN, Woolcott, C, Maskarinec, G, Haiman, CA, Walker, K, Johnson, N, McCormack, VA, Biong, M, Alnaes, GIG, Gram, IT, Kristensen, VN, Borresen-Dale, A-L, Lindstroem, S, Hankinson, SE, Hunter, DJ, Andrulis, IL, Knight, JA, Boyd, NF, Figuero, JD, Lissowska, J, Wesolowska, E, Peplonska, B, Bukowska, A, Reszka, E, Liu, J, Eriksson, L, Czene, K, Audley, T, Wu, AH, Pankratz, VS, Hopper, JL, dos-Santos-Silva, I, Vachon, CM, Scott, CG, Fasching, PA, Hall, P, Tamimi, RM, Li, J, Stone, J, Apicella, C, Odefrey, F, Gierach, GL, Jud, SM, Heusinger, K, Beckmann, MW, Pollan, M, Fernandez-Navarro, P, Gonzalez-Neira, A, Benitez, J, van Gils, CH, Lokate, M, Onland-Moret, NC, Peeters, PHM, Brown, J, Leyland, J, Varghese, JS, Easton, DF, Thompson, DJ, Luben, RN, Warren, RML, Wareham, NJ, Loos, RJF, Khaw, K-T, Ursin, G, Lee, E, Gayther, SA, Ramus, SJ, Eeles, RA, Leach, MO, Kwan-Lim, G, Couch, FJ, Giles, GG, Baglietto, L, Krishnan, K, Southey, MC, Le Marchand, L, Kolonel, LN, Woolcott, C, Maskarinec, G, Haiman, CA, Walker, K, Johnson, N, McCormack, VA, Biong, M, Alnaes, GIG, Gram, IT, Kristensen, VN, Borresen-Dale, A-L, Lindstroem, S, Hankinson, SE, Hunter, DJ, Andrulis, IL, Knight, JA, Boyd, NF, Figuero, JD, Lissowska, J, Wesolowska, E, Peplonska, B, Bukowska, A, Reszka, E, Liu, J, Eriksson, L, Czene, K, Audley, T, Wu, AH, Pankratz, VS, Hopper, JL, and dos-Santos-Silva, I
- Abstract
BACKGROUND: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer risk. We examined whether common low-penetrance breast cancer susceptibility variants contribute to interindividual differences in mammographic density measures. METHODS: We established an international consortium (DENSNP) of 19 studies from 10 countries, comprising 16,895 Caucasian women, to conduct a pooled cross-sectional analysis of common breast cancer susceptibility variants in 14 independent loci and mammographic density measures. Dense and nondense areas, and percent density, were measured using interactive-thresholding techniques. Mixed linear models were used to assess the association between genetic variants and the square roots of mammographic density measures adjusted for study, age, case status, BMI, and menopausal status. RESULTS: Consistent with their breast cancer associations, the C-allele of rs3817198 in LSP1 was positively associated with both adjusted dense area (P = 0.00005) and adjusted percent density (P = 0.001), whereas the A-allele of rs10483813 in RAD51L1 was inversely associated with adjusted percent density (P = 0.003), but not with adjusted dense area (P = 0.07). CONCLUSION: We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland. IMPACT: We examined the association of 14 established breast cancer susceptibility loci with mammographic density phenotypes within a large genetic consortium and identified two breast cancer susceptibility variants, LSP1-rs3817198 and RAD51L1-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association.
- Published
- 2012
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