Zobrazeno 1 - 7
of 7
pro vyhledávání: '"631/67/1504/1477"'
Autor:
Jens Luebeck, Alvin Wei Tian Ng, Patricia C. Galipeau, Xiaohong Li, Carissa A. Sanchez, Annalise C. Katz-Summercorn, Hoon Kim, Sriganesh Jammula, Yudou He, Scott M. Lippman, Roel G. W. Verhaak, Carlo C. Maley, Ludmil B. Alexandrov, Brian J. Reid, Rebecca C. Fitzgerald, Thomas G. Paulson, Howard Y. Chang, Sihan Wu, Vineet Bafna, Paul S. Mischel
Publikováno v:
Luebeck, J, Ng, A W T, Galipeau, P C, Li, X, Sanchez, C A, Katz-Summercorn, A C, Kim, H, Jammula, S, He, Y, Lippman, S M, Verhaak, R G W, Maley, C C, Alexandrov, L B, Reid, B J, Fitzgerald, R C, Paulson, T G, Chang, H Y, Wu, S, Bafna, V & Mischel, P S 2023, ' Extrachromosomal DNA in the cancerous transformation of Barrett’s oesophagus ', Nature, vol. 616, no. 7958, pp. 798-805 . https://doi.org/10.1038/s41586-023-05937-5
Nature, 616(7958), 798-805. Nature Publishing Group
Nature, 616(7958), 798-805. Nature Publishing Group
Oncogene amplification on extrachromosomal DNA (ecDNA) drives the evolution of tumours and their resistance to treatment, and is associated with poor outcomes for patients with cancer1–6. At present, it is unclear whether ecDNA is a later manifesta
Autor:
Emilie Abby, Stefan C. Dentro, Michael W. J. Hall, Joanna C. Fowler, Swee Hoe Ong, Roshan Sood, Albert Herms, Gabriel Piedrafita, Irina Abnizova, Christian W. Siebel, Moritz Gerstung, Benjamin A. Hall, Philip H. Jones
NOTCH1 mutant clones occupy the majority of normal human esophagus by middle age but are comparatively rare in esophageal cancers, suggesting NOTCH1 mutations drive clonal expansion but impede carcinogenesis. Here we test this hypothesis. Sequencing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3995a6ea6c8197c93dc9b47a0c6967
https://www.repository.cam.ac.uk/handle/1810/346529
https://www.repository.cam.ac.uk/handle/1810/346529
Autor:
Ng, Alvin Wei Tian, Contino, Gianmarco, Killcoyne, Sarah, Devonshire, Ginny, Hsu, Ray, Abbas, Sujath, Su, Jing, Redmond, Aisling M., Weaver, Jamie M.J., Eldridge, Matthew D., Tavaré, Simon, Grehan, Nicola, Nutzinger, Barbara, Fidziukiewicz, Elwira, Freeman, Adam, Smyth, Elizabeth C., O’Donovan, Maria, Miremadi, Ahmad, Malhotra, Shalini, Tripathi, Monika, Cheah, Calvin, Coles, Hannah, Flint, Connor, Eldridge, Matthew, Secrier, Maria, Jammula, Sriganesh, Davies, Jim, Crichton, Charles, Carroll, Nick, Hardwick, Richard H., Safranek, Peter, Hindmarsh, Andrew, Sujendran, Vijayendran, Hayes, Stephen J., Ang, Yeng, Sharrocks, Andrew, Preston, Shaun R., Bagwan, Izhar, Save, Vicki, Skipworth, Richard J.E., Hupp, Ted R., O’Neill, J. Robert, Tucker, Olga, Beggs, Andrew, Taniere, Philippe, Puig, Sonia, Scott, Michael, Turkington, Richard, McManus, Damian, Coleman, Helen
Publikováno v:
Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) consortium, Ng, A W T, Contino, G, Killcoyne, S, Devonshire, G, Hsu, R, Abbas, S, Su, J, Redmond, A M, Weaver, J M J, Eldridge, M D, Tavaré, S, Grehan, N, Nutzinger, B, Fidziukiewicz, E, Freeman, A, Smyth, E C, O’Donovan, M, Miremadi, A, Malhotra, S, Tripathi, M, Cheah, C, Coles, H, Flint, C, Eldridge, M, Secrier, M, Jammula, S, Davies, J, Crichton, C, Carroll, N, Hardwick, R H, Safranek, P, Hindmarsh, A, Sujendran, V, Hayes, S J, Ang, Y, Sharrocks, A, Preston, S R, Bagwan, I, Save, V, Skipworth, R J E, Hupp, T R, O’Neill, J R, Tucker, O, Beggs, A, Taniere, P, Puig, S, Scott, M, Turkington, R, McManus, D & Coleman, H 2022, ' Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas ', Communications Biology, vol. 5, 335 . https://doi.org/10.1038/s42003-022-03238-7
Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed structural variations (SV) wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b97406482e6132d6907277c286d219
Autor:
Katz-Summercorn, AC, Jammula, S, Frangou, A, Peneva, I, O'Donovan, M, Tripathi, M, Malhotra, S, Di Pietro, M, Abbas, S, Devonshire, G, Januszewicz, W, Blasko, A, Nowicki-Osuch, K, MacRae, S, Northrop, A, Redmond, AM, Wedge, DC, Fitzgerald, RC
Publikováno v:
Nature Communications. 13
Barrett’s esophagus is a pre-malignant lesion that can progress to esophageal adenocarcinoma. We perform a multi-omic analysis of pre-cancer samples from 146 patients with a range of outcomes, comprising 642 person years of follow-up. Whole genome
Autor:
An, Jiyuan, Gharahkhani, Puya, Law, Matthew H., Ong, Jue-Sheng, Han, Xikun, Olsen, Catherine M., Neale, Rachel E., Lai, John, Vaughan, Tom L., Gockel, Ines, Thieme, René, Böhmer, Anne C., Jankowski, Janusz, Fitzgerald, Rebecca C., Schumacher, Johannes, Palles, Claire, Whiteman, David C., MacGregor, Stuart, Gammon, Marilie D., Corley, Douglas A., Shaheen, Nicholas J., Bird, Nigel C., Hardie, Laura J., Murray, Liam J., Reid, Brian J., Chow, Wong-Ho, Risch, Harvey A., Ye, Weimin, Liu, Geoffrey, Romero, Yvonne, Bernstein, Leslie, Wu, Anna H., Agee, M., Alipanahi, B., Auton, A., Bell, R. K., Bryc, K., Elson, S. L., Fontanillas, P., Furlotte, N. A., Hinds, D. A., Huber, K. E., Kleinman, A., Litterman, N. K., McIntyre, M. H., Mountain, J. L., Noblin, E. S., Northover, C. A. M., Pitts, S. J., Sathirapongsasuti, J. Fah, Sazonova, O. V., Shelton, J. F., Shringarpure, S., Tian, C., Tung, J. Y., Vacic, V., Wilson, C. H.
Funder: The Swedish Esophageal Cancer Study was funded by grants (R01 CA57947-03) from the National Cancer Institute he California Tobacco Related Research Program (3RT-0122; and; 10RT-0251) Marit Peterson Fund for Melanoma Research. CIDR is supporte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e787bf315ca4c794c643db06019563
https://www.repository.cam.ac.uk/handle/1810/310289
https://www.repository.cam.ac.uk/handle/1810/310289
Autor:
Mourikis, TP, Benedetti, L, Foxall, E, Temelkovski, D, Nulsen, J, Perner, J, Cereda, M, Lagergren, J, Howell, M, Yau, C, Fitzgerald, RC, Scaffidi, P, Noorani, A, Edwards, PAW, Elliott, RF, Grehan, N, Nutzinger, B, Hughes, C, Fidziukiewicz, E, Bornschein, J, MacRae, S, Crawte, J, Northrop, A, Contino, G, Li, X, De la Rue, R, Katz-Summercorn, A, Abbas, S, Loureda, D, O'Donovan, M, Miremadi, A, Malhotra, S, Tripathi, M, Tavare, S, Lynch, AG, Eldridge, M, Secrier, M, Bower, L, Devonshire, G, Jammula, S, Davies, J, Crichton, C, Carroll, N, Safranek, P, Hindmarsh, A, Sujendran, V, Hayes, SJ, Ang, Y, Sharrocks, A, Preston, SR, Oakes, S, Bagwan, I, Save, V, Skipworth, RJE, Hupp, TR, O'Neill, JR, Tucker, O, Beggs, A, Taniere, P, Puig, S, Underwood, TJ, Walker, RC, Grace, BL, Barr, H, Shepherd, N, Old, O, Gossage, J, Davies, A, Chang, F, Zylstra, J, Mahadeva, U, Goh, V, Sanders, G, Berrisford, R, Harden, C, Lewis, M, Cheong, E, Kumar, B, Parsons, SL, Soomro, I, Kaye, P, Saunders, J, Lovat, L, Haidry, R, Igali, L, Scott, M, Sothi, S, Suortamo, S, Lishman, S, Hanna, GB, Peters, CJ, Moorthy, K, Grabowska, A, Turkington, R, McManus, D, Khoo, D, Fickling, W, Ciccarelli, FD
The identification of cancer-promoting genetic alterations is challenging particularly in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we describe a machine learning algorithm to identify cancer genes in in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::56bbcb4834a826025994807c5a97eb9d
https://www.repository.cam.ac.uk/handle/1810/307928
https://www.repository.cam.ac.uk/handle/1810/307928
Autor:
Mourikis, Thanos P., Benedetti, Lorena, Foxall, Elizabeth, Temelkovski, Damjan, Nulsen, Joel, Perner, Juliane, Cereda, Matteo, Lagergren, Jesper, Howell, Michael, Yau, Christopher, Fitzgerald, Rebecca C., Scaffidi, Paola, Ciccarelli, Francesca D., Noorani, Ayesha, Edwards, Paul A. W., Elliott, Rachael Fels, Grehan, Nicola, Nutzinger, Barbara, Hughes, Caitriona, Fidziukiewicz, Elwira, Bornschein, Jan, MacRae, Shona, Crawte, Jason, Northrop, Alex, Contino, Gianmarco, Li, Xiaodun, De La Rue, Rachel, Katz-Summercorn, Annalise, Abbas, Sujath, Loureda, Daniel, O’Donovan, Maria, Miremadi, Ahmad, Malhotra, Shalini, Tripathi, Monika, Tavaré, Simon, Lynch, Andy G., Eldridge, Matthew, Secrier, Maria, Bower, Lawrence, Devonshire, Ginny, Jammula, Sriganesh, Davies, Jim, Crichton, Charles, Carroll, Nick, Safranek, Peter, Hindmarsh, Andrew, Sujendran, Vijayendran, Hayes, Stephen J., Ang, Yeng, Sharrocks, Andrew, Preston, Shaun R., Oakes, Sarah, Bagwan, Izhar, Save, Vicki, Skipworth, Richard J. E., Hupp, Ted R., Robert O’Neill, J., Tucker, Olga, Beggs, Andrew, Taniere, Philippe, Puig, Sonia, Underwood, Timothy J., Walker, Robert C., Grace, Ben L., Barr, Hugh, Shepherd, Neil, Old, Oliver, Gossage, James, Davies, Andrew, Chang, Fuju, Zylstra, Janine, Mahadeva, Ula, Goh, Vicky, Sanders, Grant, Berrisford, Richard, Harden, Catherine, Lewis, Mike, Cheong, Ed, Kumar, Bhaskar, Parsons, Simon L., Soomro, Irshad, Kaye, Philip, Saunders, John, Lovat, Laurence, Haidry, Rehan, Igali, Laszlo, Scott, Michael, Sothi, Sharmila, Suortamo, Sari, Lishman, Suzy, Hanna, George B., Peters, Christopher J., Moorthy, Krishna, Grabowska, Anna, Turkington, Richard, McManus, Damian, Khoo, David, Fickling, Will
The identification of cancer-promoting genetic alterations is challenging particularly in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we describe a machine learning algorithm to identify cancer genes in in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b462946e3e9321b87c32df0a53b17e5