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10. Radiotherapy plus chemotherapy with or without surgical resection for stage III non-small-cell lung cancer: a phase III randomised controlled trial

Author

Albain, Kathy S, Swann, R Suzanne, Rusch, Valerie W, Turrisi, Andrew T, III, Shepherd, Frances A, Smith, Colum, Chen, Yuhchyau, Livingston, Robert B, Feins, Richard H, Gandara, David R, Fry, Willard A, Darling, Gail, Johnson, David H, Green, Mark R, Miller, Robert C, Ley, Joanne, Sause, Willliam T, and Cox, James D

Published
2009
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13. The DNA sequence of the human X chromosome

Author

Ross, Mark T., Grafham, Darren V., Coffey, Alison J., Scherer, Steven, McLay, Kirsten, Muzny, Donna, Platzer, Matthias, Howell, Gareth R., Burrows, Christine, Bird, Christine P., Frankish, Adam, Lovell, Frances L., Howe, Kevin L., Ashurst, Jennifer L., Fulton, Robert S., Sudbrak, Ralf, Wen, Gaiping, Jones, Matthew C., Hurles, Matthew E., Andrews, T. Daniel, Scott, Carol E., Searle, Stephen, Ramser, Juliane, Whittaker, Adam, Deadman, Rebecca, Carter, Nigel P., Hunt, Sarah E., Chen, Rui, Cree, Andrew, Gunaratne, Preethi, Havlak, Paul, Hodgson, Anne, Metzker, Michael L., Richards, Stephen, Scott, Graham, Steffen, David, Sodergren, Erica, Wheeler, David A., Worley, Kim C., Ainscough, Rachael, Ambrose, Kerrie D., Ansari-Lari, M. Ali, Aradhya, Swaroop, Ashwell, Robert I. S., Babbage, Anne K., Bagguley, Claire L., Ballabio, Andrea, Banerjee, Ruby, Barker, Gary E., Barlow, Karen F., Barrett, Ian P., Bates, Karen N., Beare, David M., Beasley, Helen, Beasley, Oliver, Beck, Alfred, Bethel, Graeme, Blechschmidt, Karin, Brady, Nicola, Bray-Allen, Sarah, Bridgeman, Anne M., Brown, Andrew J., Brown, Mary J., Bonnin, David, Bruford, Elspeth A., Buhay, Christian, Burch, Paula, Burford, Deborah, Burgess, Joanne, Burrill, Wayne, Burton, John, Bye, Jackie M., Carder, Carol, Carrel, Laura, Chako, Joseph, Chapman, Joanne C., Chavez, Dean, Chen, Ellson, Chen, Guan, Chen, Yuan, Chen, Zhijian, Chinault, Craig, Ciccodicola, Alfredo, Clark, Sue Y., Clarke, Graham, Clee, Chris M., Clegg, Sheila, Clerc-Blankenburg, Kerstin, Clifford, Karen, Cobley, Vicky, Cole, Charlotte G., Conquer, Jen S., Corby, Nicole, Connor, Richard E., David, Robert, Davies, Joy, Davis, Clay, Davis, John, Delgado, Oliver, DeShazo, Denise, Dhami, Pawandeep, Ding, Yan, Dinh, Huyen, Dodsworth, Steve, Draper, Heather, Dugan-Rocha, Shannon, Dunham, Andrew, Dunn, Matthew, Durbin, K. James, Dutta, Ireena, Eades, Tamsin, Ellwood, Matthew, Emery-Cohen, Alexandra, Errington, Helen, Evans, Kathryn L., Faulkner, Louisa, Francis, Fiona, Frankland, John, Fraser, Audrey E., Galgoczy, Petra, Gilbert, James, Gill, Rachel, Glockner, Gernot, Gregory, Simon G., Gribble, Susan, Griffiths, Coline, Grocock, Russell, Gu, Yanghong, Gwilliam, Rhian, Hamilton, Cerissa, Hart, Elizabeth A., Hawes, Alicia, Heath, Paul D., Heitmann, Katja, Hennig, Steffen, Hernandez, Judith, Hinzmann, Bernd, Ho, Sarah, Hoffs, Michael, Howden, Phillip J., Huckle, Elizabeth J., Hume, Jennifer, Hunt, Paul J., Hunt, Adrienne R., Isherwood, Judith, Jacob, Leni, Johnson, David, Jones, Sally, de Jong, Pieter J., Joseph, Shirin S., Keenan, Stephen, Kelly, Susan, Kershaw, Joanne K., Khan, Ziad, Kioschis, Petra, Klages, Sven, Knights, Andrew J., Kosiura, Anna, Kovar-Smith, Christie, Laird, Gavin K., Langford, Cordelia, Lawlor, Stephanie, Leversha, Margaret, Lewis, Lora, Liu, Wen, Lloyd, Christine, Lloyd, David M., Loulseged, Hermela, Loveland, Jane E., Lovell, Jamieson D., Lozado, Ryan, Lu, Jing, Lyne, Rachael, Ma, Jie, Maheshwari, Manjula, Matthews, Lucy H., McDowall, Jennifer, McLaren, Stuart, McMurray, Amanda, Meidl, Patrick, Meitinger, Thomas, Milne, Sarah, Miner, George, Mistry, Shailesh L., Morgan, Margaret, Morris, Sidney, Muller, Ines, Mullikin, James C., Nguyen, Ngoc, Nordsiek, Gabriele, Nyakatura, Gerald, O'Dell, Christopher N., Okwuonu, Geoffery, Palmer, Sophie, Pandian, Richard, Parker, David, Parrish, Julia, Pasternak, Shiran, Patel, Dina, Pearce, Alex V., Pearson, Danita M., Pelan, Sarah E., Perez, Lesette, Porter, Keith M., Ramsey, Yvonne, Reichwald, Kathrin, Rhodes, Susan, Ridler, Kerry A., Schlessinger, David, Schueler, Mary G., Sehra, Harminder K., Shaw-Smith, Charles, Shen, Hua, Sheridan, Elizabeth M., Shownkeen, Ratna, Skuce, Carl D., Smith, Michelle L., Sotheran, Elizabeth C., Steingruber, Helen E., Steward, Charles A., Storey, Roy, Swann, R. Mark, Swarbreck, David, Tabor, Paul E., Taudien, Stefan, Taylor, Tineace, Teague, Brian, Thomas, Karen, Thorpe, Andrea, Timms, Kirsten, Tracey, Alan, Trevanion, Steve, Tromans, Anthony C., d'Urso, Michele, Verduzco, Daniel, Villasana, Donna, Waldron, Lenee, Wall, Melanie, Wang, Qiaoyan, Warren, James, Warry, Georgina L., Wei, Xuehong, West, Anthony, Whitehead, Siobhan L., Whiteley, Mathew N., Wilkinson, Jane E., Willey, David L., Williams, Gabrielle, Williams, Leanne, Williamson, Angela, Williamson, Helen, Wilming, Laurens, Woodmansey, Rebecca L., Wray, Paul W., Yen, Jennifer, Zhang, Jingkun, Zhou, Jianling, Zoghbi, Huda, Zorilla, Sara, Buck, David, Reinhardt, Richard, Poustka, Annemarie, Rosenthal, Andre, Lehrach, Hans, Meindl, Alfons, Minx, Patrick J., Hillier, LaDeana W., Willard, Huntington F., Wilson, Richard K., Waterston, Robert H., Rice, Catherine M., Vaudin, Mark, Coulson, Alan, Nelson, David L., Weinstock, George, Sulston, John E., Durbin, Richard, Hubbard, Tim, Gibbs, Richard A., Beck, Stephan, Rogers, Jane, and Bentley, David R.

Subjects
Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): Mark T. Ross (corresponding author) [1]; Darren V. Grafham [1]; Alison J. Coffey [1]; Steven Scherer [2]; Kirsten McLay [1]; Donna Muzny [2]; Matthias Platzer [3]; Gareth R. Howell [...]

Published
2005
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14. Using Remotely Sensed Data and Hydrologic Models to Evaluate the Effects of Climate Change on Shallow Aquatic Ecosystems in the Mobile Bay, AL Estuary

Author

Estes, M. G, Al-Hamdan, M. Z, Thom, R, Judd, C, Woodruff, D, Ellis, J. T, Quattrochi, D, and Swann, R

Subjects
Meteorology And Climatology
Abstract

Coastal systems in the northern Gulf of Mexico, including the Mobile Bay, AL estuary, are subject to increasing pressure from a variety of activities including climate change. Climate changes have a direct effect on the discharge of rivers that drain into Mobile Bay and adjacent coastal water bodies. The outflows change water quality (temperature, salinity, and sediment concentrations) in the shallow aquatic areas and affect ecosystem functioning. Mobile Bay is a vital ecosystem that provides habitat for many species of fauna and flora. Historically, submerged aquatic vegetation (SAV) and seagrasses were found in this area of the northern Gulf of Mexico; however the extent of vegetation has significantly decreased over the last 60 years. The objectives of this research are to determine: how climate changes affect runoff and water quality in the estuary and how these changes will affect habitat suitability for SAV and seagrasses. Our approach is to use watershed and hydrodynamic modeling to evaluate the impact of climate change on shallow water aquatic ecosystems in Mobile Bay and adjacent coastal areas. Remotely sensed Landsat data were used for current land cover land use (LCLU) model input and the data provided by Intergovernmental Panel on Climate Change (IPCC) of the future changes in temperature, precipitation, and sea level rise were used to create the climate scenarios for the 2025 and 2050 model simulations. Project results are being shared with Gulf coast stakeholders through the Gulf of Mexico Data Atlas to benefit coastal policy and climate change adaptation strategies.

Published
2012

19. Phase III Trial of an Emulsion Containing Trolamine for the Prevention of Radiation Dermatitis in Patients With Advanced Squamous Cell Carcinoma of the Head and Neck: Results of Radiation Therapy Oncology Group Trial 99-13

Author

Elliott, Elizabeth A., Wright, James R., Swann, R Suzanne, Nguyen-Tân, Felix, Takita, Cristiane, Bucci, M Kara, Garden, Adam S., Kim, Harold, Hug, Eugen B., Ryu, Janice, Greenberg, Michael, Saxton, Jerrold P., Ang, Kian, and Berk, Lawrence

Published
2006
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27. Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

Author

Mavaddat, N., Pharoah, P.D.P., Michailidou, K., Tyrer, J., Brook, M.N., Bolla, M.K., Wang, Q., Dennis, J., Dunning, A.M., Shah, M., Luben, R., Brown, J., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Czene, K., Darabi, H., Eriksson, M., Peto, J., dos-Santos-Silva, I., Dudbridge, F., Johnson, N., Schmidt, M.K., Broeks, A., Verhoef, S., Rutgers, E.J., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M.J., Figueroa, J., Chanock, S.J., Brinton, L., Lissowska, J., Couch, F.J., Olson, J.E., Vachon, C., Pankratz, V.S., Lambrechts, D., Wildiers, H., Ongeval, C. van, Limbergen, E. van, Kristensen, V., Alnaes, G.G., Nord, S., Borresen-Dale, A.L., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Trentham-Dietz, A., Newcomb, P., Titus, L., Egan, K.M., Hunter, D.J., Lindstrom, S., Tamimi, R.M., Kraft, P., Rahman, N., Turnbull, C., Renwick, A., Seal, S., Li, J.M., Liu, J.J., Humphreys, K., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Anton-Culver, H., Neuhausen, S.L., Ziogas, A., Bernstein, L., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Cox, A., Cross, S.S., Reed, M.W.R., Khusnutdinova, E., Bermisheva, M., Prokofyeva, D., Takhirova, Z., Meindl, A., Schmutzler, R.K., Sutter, C., Yang, R.X., Schurmann, P., Bremer, M., Christiansen, H., Park-Simon, T.W., Hillemanns, P., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Radice, P., Peterlongo, P., Manoukian, S., Pensotti, V., Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Brauch, H., Bruning, T., Ko, Y.D., Sigurdson, A.J., Doody, M.M., Hamann, U., Torres, D., Ulmer, H.U., Forsti, A., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Chenevix-Trench, G., Balleine, R., Giles, G.G., Milne, R.L., McLean, C., Lindblom, A., Margolin, S., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Eilber, U., Wang-Gohrke, S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Koppert, L.B., Carpenter, J., Clarke, C., Scott, R., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Brenner, H., Arndt, V., Stegmaier, C., Dieffenbach, A.K., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Offit, K., Vijai, J., Robson, M., Rau-Murthy, R., Dwek, M., Swann, R., Perkins, K.A., Goldberg, M.S., Labreche, F., Dumont, M., Eccles, D.M., Tapper, W.J., Rafiq, S., John, E.M., Whittemore, A.S., Slager, S., Yannoukakos, D., Toland, A.E., Yao, S., Zheng, W., Halverson, S.L., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrero, D., Tessier, D.C., Vincent, D., Bacot, F., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Simard, J., Hall, P., Easton, D.F., Garcia-Closas, M., Clinical Genetics, Medical Oncology, Surgery, Department of Obstetrics and Gynecology, Clinicum, Medicum, Kristiina Aittomäki / Principal Investigator, Department of Medical and Clinical Genetics, Department of Oncology, HUS Gynecology and Obstetrics, Mavaddat, Nasim [0000-0003-0307-055X], Pharoah, Paul [0000-0001-8494-732X], Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Luben, Robert [0000-0002-5088-6343], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Adult, Genotype, 3122 Cancers, Breast Neoplasms, consortium, Polymorphism, Single Nucleotide, Risk Assessment, Article, prevention, SDG 3 - Good Health and Well-being, Predictive Value of Tests, Risk Factors, 3123 Gynaecology and paediatrics, Biomarkers, Tumor, Odds Ratio, Humans, Genetic Predisposition to Disease, family-history, Aged, prostate, Gene Expression Profiling, subtypes, Middle Aged, susceptibility loci, Europe, Gene Expression Regulation, Neoplastic, Receptors, Estrogen, Tumor Markers, Biological, Cancer and Oncology, genome-wide association, Female, women
Abstract

Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. Methods: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. Results: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1 of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. Conclusions: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report. © 2015 © The Author 2015. Published by Oxford University Press.

Published
2015

28. Overall survival in COMBI-d, a randomized, double-blinded, phase III study comparing the combination of dabrafenib and trametinib with dabrafenib and placebo as first-line therapy in patients (pts) with unresectable or metastatic BRAF V600E/K mutation-positive cutaneous melanoma

Author

Long, Georgina V. Stroyakovskiy, Daniil Gogas, Helen and Levchenko, Evgeny De Braud, Filippo G. Larkin, James M. G. and Garbe, Claus Jouary, Thomas Hauschild, Axel Grob, Jean Jacques Chiarion-Sileni, Vanna Lebbe, Celeste Mandala, Mario and Millward, Michael DeMarini, Douglas James Irani, Jhangir G. and Jin, Fan Swann, R. Suzanne Mookerjee, Bijoyesh Flaherty, Keith

Published
2015

29. Refined histopathological predictors of BRCA1\ud and BRCA2 mutation status: a large-scale analysis\ud of breast cancer characteristics from the BCAC,\ud CIMBA, and ENIGMA consortia

Author

Spurdle, A.B., Couch, F.J., Parsons, M.T., McGuffog, L., Barrowdale, D., Bolla, M.K., Wang, Q., Healey, S., Schmutzler, R.K., Wappenschmidt, B., Rhiem, K., Hahnen, E., Engel, C., Meindl, A., Ditsch, N., Arnold, N., Plendl, H., Niederacher, D., Sutter, C., Wang-Gohrke, S., Steinemann, D., Preisler-Adams, S., Kast, K., Varon-Mateeva, R., Ellis, S., Frost, D., Platte, R., Perkins, J., Evans, D.G., Izatt, L., Eeles, R., Adlard, J., Davidson, R., Cole, T., Scuvera, G., Manoukian, S., Bonanni, B., Mariette, F., Fortuzzi, S., Viel, A., Pasini, B., Papi, L., Varesco, L., Balleine, R., Nathanson, K.L., Domchek, S.M., Offitt, K., Jakubowska, A., Lindor, N., Thomassen, M., Jensen, U.B., Rantala, J., Borg, A., Andrulis, I.L., Miron, A., Hansen, T.V.O., Caldes, T., Neuhausen, S.L., Toland, A.E., Nevanlinna, H., Montagna, M., Garber, J., Godwin, A.K., Osorio, A., Factor, R.E., Terry, M.B., Rebbeck, T.R., Karlan, B.Y., Southey, M., Rashid, M.U., Tung, N., Pharoah, P.D.P., Blows, F.M., Dunning, A.M., Provenzano, E., Hall, P., Czene, K., Schmidt, M.K., Broeks, A., Cornelissen, S., Verhoef, S., Fasching, P.A., Beckmann, M.W., Ekici, A.B., Slamon, D.J., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Chang-Claude, J., Flesch-Janys, D., Rudolph, A., Seibold, P., Aittomaki, K., Muranen, T.A., Heikkila, P., Blomqvist, C., Figueroa, J., Chanock, S.J., Brinton, L., Lissowska, J., Olson, J.E., Pankratz, V.S., John, E.M., Whittemore, A.S., West, D.W., Hamann, U., Torres, D., Ulmer, H.U., Rudiger, T., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Van Asperen, C.J., Eccles, D.M., Tapper, W.J., Durcan, L., Jones, L., Peto, J., dos-Santos-Silva, I., Fletcher, O., Johnson, N., Dwek, M., Swann, R., Bane, A.L., Glendon, G., Mulligan, A.M., Giles, G.G., Milne, R.L., Baglietto, L., McLean, C., Carpenter, J., Clarke, C., Scott, R., Brauch, H., Bruning, T., Ko, Y-D., Cox, A., Cross, S.S., Reed, M.W.R., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Gronwald, J., Dork, T., Bogdanova, N., Park-Simon, T-W., Hillemanns, P., Haiman, C.A., Henderson, B.E., Schumacher, F., Le Marchand, L., Burwinkel, B., Marme, F., Surovy, H., Yang, R., Anton-Culver, H., Ziogas, A., Hooning, M.J., Collee, J.M., Martens, J.W.M., Tilanus-Linthorst, M.M.A., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Lindblom, A., Margolin, S., Joseph, V., Robson, M., Rau-Murthy, R., Gonzalez-Neira, A., Arias, J.I., Zamora, P., Benitez, J., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, J.M., Peterlongo, P., Zaffaroni, D., Barile, M., Capra, F., Radice, P., Teo, S.H., Easton, D.F., Antoniou, A.C., Chenevix-Trench, G., Goldgar, D.E., Investigators, ABCTB, Group, EMBRACE, Network, GENICA, Group, HEBON, and Investigators, KConFab

Subjects
endocrine system diseases, skin and connective tissue diseases
Abstract

Introduction: The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline\ud mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have\ud utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of\ud uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of\ud Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological\ud predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical\ud modeling.\ud Methods: Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for\ud invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565\ud BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of\ud mutation status by histopathological markers were derived using a Mantel-Haenszel approach.\ud Results: ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to\ud 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years\ud or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3\ud phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3\ud features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor\ud status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and\ud 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years\ud or older (LR = 1.79 (1.42 to 2.24)).\ud Conclusions: These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using\ud commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is\ud more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2\ud variant classification and inform patient mutation testing and clinical management.

Published
2014

30. Genetic Predisposition to In Situ and Invasive Lobular\ud Carcinoma of the Breast

Author

Sawyer, E., Roylance, R., Petridis, C., Brook, M.N., Nowinski, S., Papouli, E., Fletcher, O., Pinder, S., Hanby, A., Kohut, K., Gorman, P., Caneppele, M., Peto, J., Silva, I.D.S., Johnson, N., Swann, R., Dwek, M., Perkins, K-A., Gillett, C., Houlston, R., Ross, G., De Ieso, P., Southey, M.C., Hopper, J.L., Provenzano, E., Apicella, C., Wesseling, J., Cornelissen, S., Keeman, R., Fasching, P.A., Jud, S.M., Ekici, A.B., Beckmann, M.W., Kerin, M.J., Marme, F., Schneeweiss, A., Sohn, C., Burwinkel, B., Guenel, P., Truong, T., Laurent-Puig, P., Kerbrat, P., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Milne, R.L., Perez, J.I.A., Menendez, P., Benitez, J., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Meindl, A., Lichtner, P., Schmutzler, R.K., Lochmann, M., Brauch, H., Fischer, H-P., Ko, Y-D., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, J.M., 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, G.G., Severi, G., Baglietto, L., Mclean, C.A., Haiman, C.A., Henderson, B.E., Schumacher, F., Le Marchand, L., Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Kristensen, V., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Kauppila, S., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Devillee, P., Tollenaar, R.A.E.M., Seynaeve, C.M., Kriege, M., Figueroa, J., Chanock, S.J., Sherman, M.E., Hooning, M.J., Hollestelle, A., van den Ouweland, A.M.W., van Deurzen, C.H.M., Li, J., Czene, K., Humphreys, K., Cox, A., Cross, S.S., Reed, M.W.R., Shah, M., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M., Couch, F.J., Hallberg, E., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Tessier, D.C., Vincent, D., Bacot, F., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Dunning, A.M., Hall, P., Easton, D., Pharoah, P., Schmidt, M.K., Tomlinson, I., Garcia-Closas, M., Network, GENICA, and Investigators, K

Subjects
body regions, skin and connective tissue diseases
Abstract

Invasive lobular breast cancer (ILC) accounts for 10–15% of all invasive breast carcinomas. It is generally ER positive (ER+) and\ud often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common\ud polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To\ud identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure\ud LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/\ud LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses\ud identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09–1.18), P = 6.0610210; P-het for ILC vs IDC\ud ER+ tumors = 1.861024\ud ). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and\ud 15 with LCIS at P,0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, Phet\ud = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/\ud LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences\ud between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11,\ud rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/\ud 14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast\ud cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms\ud predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although\ud there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but\ud distinct etiological pathways within ER+ breast cancer between morphological subtypes.

Published
2014

33. Impact of previous hepatitis B infection on the clinical outcomes from chronic hepatitis C? A population‐level analysis.

Author

Wang, H., Swann, R., Thomas, E., Innes, H. A., Valerio, H., Hayes, P. C., Allen, S., Barclay, S. T., Wilks, D., Fox, R., Bhattacharyya, D., Kennedy, N., Morris, J., Fraser, A., Stanley, A. J., Gunson, R., Mclntyre, P. G., Hunt, A., Hutchinson, S. J., and Mills, P. R.

Subjects
*HEPATITIS B vaccines, *HEPATITIS C treatment, *MIXED infections, *PROPORTIONAL hazards models, *CLINICAL trials
Abstract

Summary: Chronic coinfection with hepatitis C virus (HCV) and hepatitis B virus (HBV) is associated with adverse liver outcomes. The clinical impact of previous HBV infection on liver disease in HCV infection is unknown. We aimed at determining any association of previous HBV infection with liver outcomes using antibodies to the hepatitis B core antigen (HBcAb) positivity as a marker of exposure. The Scottish Hepatitis C Clinical Database containing data for all patients attending HCV clinics in participating health boards was linked to the HBV diagnostic registry and mortality data from Information Services Division, Scotland. Survival analyses with competing risks were constructed for time from the first appointment to decompensated cirrhosis, hepatocellular carcinoma (HCC) and liver‐related mortality. Records of 8513 chronic HCV patients were included in the analyses (87 HBcAb positive and HBV surface antigen [HBsAg] positive, 1577 HBcAb positive and HBsAg negative, and 6849 HBcAb negative). Multivariate cause‐specific proportional hazards models showed previous HBV infection (HBcAb positive and HBsAg negative) significantly increased the risks of decompensated cirrhosis (hazard ratio [HR]: 1.29, 95% CI: 1.01‐1.65) and HCC (HR: 1.64, 95% CI: 1.09‐2.49), but not liver‐related death (HR: 1.02, 95% CI: 0.80‐1.30). This is the largest study to date showing an association between previous HBV infection and certain adverse liver outcomes in HCV infection. Our analyses add significantly to evidence which suggests that HBV infection adversely affects liver health despite apparent clearance. This has important implications for HBV vaccination policy and indications for prioritization of HCV therapy. [ABSTRACT FROM AUTHOR]

Published
2018
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34. 19p13.1 Is a triple-negative-specific breast cancer susceptibility locus

Author

Stevens, K.N. Fredericksen, Z. Vachon, C.M. Wang, X. Margolin, S. Lindblom, A. Nevanlinna, H. Greco, D. Aittomak̈i, K. Blomqvist, C. Chang-Claude, J. Vrieling, A. Flesch-Janys, D. Sinn, H.-P. Wang-Gohrke, S. Nickels, S. Brauch, H. Ko, Y.-D. Fischer, H.-P. Schmutzler, R.K. Meindl, A. Bartram, C.R. Schott, S. Engel, C. Godwin, A.K. Weaver, J. Pathak, H.B. Sharma, P. Brenner, H. Mul̈ler, H. Arndt, V. Stegmaier, C. Miron, P. Yannoukakos, D. Stavropoulou, A. Fountzilas, G. Gogas, H.J. Swann, R. Dwek, M. Perkins, A. Milne, R.L. Benit́ez, J. Zamora, M.P. Peŕez, J.I.A. Bojesen, S.E. Nielsen, S.F. Nordestgaard, B.G. Flyger, H. Gueńel, P. Truong, T. Menegaux, F. Cordina-Duverger, E. Burwinkel, B. Marme, F. Schneeweiss, A. Sohn, C. Sawyer, E. Tomlinson, I. Kerin, M.J. Peto, J. Johnson, N. Fletcher, O. Dos Santos Silva, I. Fasching, P.A. Beckmann, M.W. Hartmann, A. Ekici, A.B. Lophatananon, A. Muir, K. Puttawibul, P. Wiangnon, S. Schmidt, M.K. Broeks, A. Braaf, L.M. Rosenberg, E.H. Hopper, J.L. Apicella, C. Park, D.J. Southey, M.C. Swerdlow, A.J. Ashworth, A. Nicholas, O. Schoemaker, M.J. Anton-Culver, H. Ziogas, A. Bernstein, L. Dur, C.C. Shen, C.-Y. Yu, J.-C. Hsu, H.-M. Hsiung, C.-N. Hamann, U. Dun̈nebier, T. Rud̈iger, T. Ulmer, H.U. Pharoah, P.P. Dunning, A.M. Humphreys, M.K. Wang, Q. Cox, A. Cross, S.S. Reed, M.W. Hall, P. Czene, K. Ambrosone, C.B. Ademuyiwa, F. Hwang, H. Eccles, D.M. Garcia-Closas, M. Figueroa, J.D. Sherman, M.E. Lissowska, J. Devilee, P. Seynaeve, C. Tollenaar, R.A.E.M. Hooning, M.J. Andrulis, I.L. Knight, J.A. Glendon, G. Mulligan, A.M. Winqvist, R. Pylkas̈, K. Jukkola-Vuorinen, A. Grip, M. John, E.M. Miron, A. Alnsæ, G.G. Kristensen, V. Brøresen-Dale, A.-L. Giles, G.G. Baglietto, L. McLean, C.A. Severi, G. Kosel, M.L. Pankratz, V.S. Slager, S. Olson, J.E. Radice, P. Peterlongo, P. Manoukian, S. Barile, M. Lambrechts, D. Hatse, S. Dieudonne, A.-S. Christiaens, M.-R. Chenevix-Trench, G. Beesley, J. Chen, X. Mannermaa, A. Kosma, V.-M. Hartikainen, J.M. Soini, Y. Easton, D.F. Couch, F.J.

Subjects
skin and connective tissue diseases
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 ERnegative 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

35. Anti-envelope antibody responses in individuals at high risk of hepatitis C virus who resist infection.

Author

Swann, R. E., Mandalou, P., Robinson, M. W., Ow, M. M., Foung, S. K. H., McLauchlan, J., Patel, A. H., and Cramp, M. E.

Subjects
*HEPATITIS C risk factors, *VIRAL envelopes, *VIRAL antibodies, *INTRAVENOUS drug abusers, *HEPATITIS C prevention, *HEPATITIS C diagnosis
Abstract

Injection drug users uninfected by hepatitis C virus ( HCV) despite likely repeated exposure through high-risk behaviour are well documented. Factors preventing infection in these individuals are incompletely understood. Here, we looked for anti- HCV-envelope antibody responses in a cohort of repeatedly exposed but uninfected subjects. Forty-two hepatitis C diagnostic antibody- and RNA-negative injection drug users at high risk of exposure were studied and findings compared to healthy controls and cases with chronic HCV infection. Purified IgGs from sera were tested by ELISA for binding to genotype 1a and 3a envelope glycoproteins E1E2 with further testing for IgG and IgM reactivity against soluble E2. Virus-neutralizing activity was assessed using an HCV pseudoparticle system. Uninfected subjects demonstrated significantly greater IgG and IgM reactivities to envelope glycoproteins than healthy controls with IgG from 6 individuals additionally showing significant neutralization. This study is the first to describe humoral immunological responses targeting the HCV envelope, important for viral neutralization, in exposed uninfected individuals. A subset of these cases also had evidence of viral neutralization via anti-envelope antibodies. In addition to confirming viral exposure, the presence of specific anti-envelope antibodies may be a factor that helps these individuals resist HCV infection. [ABSTRACT FROM AUTHOR]

Published
2016
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36. Chemical feasibility of lithium as a matrix for structural composites

Author

Swann, R. T and Esterling, D. M

Subjects
Composite Materials
Abstract

The chemical compatibility of lithium with tows of carbon and aramid fibers and silicon carbide and boron monofilaments was investigated by encapsulating the fibers in liquid lithium and also by sintering. The lithium did not readily wet the various fibers. In particular, very little lithium infiltration into the carbon and aramid tows was achieved and the strength of the tows was seriously degraded. The strength of the boron and silicon carbide monofilaments, however, was not affected by the liquid lithium. Therefore lithium is not feasible as a matrix for carbon and aramid fibers, but a composite containing boron or silicon carbide fibers in a lithium matrix may be feasible for specialized applications.

Published
1984
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37. Non-catalytic surfaces for metallic heat shields

Author

Swann, R. T, Wood, G. M, Brown, R. D, Upchurch, B. T, and Allen, G. J

Subjects
Inorganic And Physical Chemistry
Abstract

The magnitude of the atom recombination coefficients needed for metal heat shield surfaces on Shuttle-type vehicles is analyzed and discussed. Prior work which identifies surfaces having low catalytic activity is reviewed. Arc tunnel tests to evaluate catalytic activity are described and the difficulties of such tests are discussed. Results are presented which show major differences between atom recombination and atom exchange from molecules. Results of surface analysis show that bulk and surface composition of a coating are different.

Published
1984

38. Dielectric molding apparatus Patent

Author

King, C. B, Menges, M. J, and Swann, R. T

Subjects
Machine Elements And Processes
Abstract

Dielectric apparatus for heating, fusing, and hardening of organic matrix to form plastic material into shaped product

Published
1971

47. Sandwich panel construction Patent

Author

Anderson, R. A and Swann, R. T

Subjects
Thermodynamics And Combustion
Abstract

Sandwich panel structure for removing heat from shield between hot and cold areas

Published
1963

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