التفاصيل البيبلوغرافية
| العنوان: |
Representative sequencing: unbiased sampling of solid tumor tissue |
| المؤلفون: |
Litchfield, Kevin, Stanislaw, Stacey, Spain, Lavinia, Gallegos, Lisa L., Rowan, Andrew, Schnidrig, Desiree, Rosenbaum, Heidi, Harle, Alexandre, Au, Lewis, Hill, Samantha M., Tippu, Zayd, Thomas, Jennifer, Thompson, Lisa, Xu, Hang, Horswell, Stuart, Barhoumi, Aoune, Jones, Carol, Leith, Katherine F., Burgess, Daniel L., Watkins, Thomas B.K., Lim, Emilia, Birkbak, Nicolai J., Lamy, Philippe, Nordentoft, Iver, Dyrskjøt, Lars, Pickering, Lisa, Hazell, Stephen, Jamal-Hanjani, Mariam, Larkin, James, Swanton, Charles, Alexander, Nelson R., Turajlic, Samra, Abbosh, Chris, Shiu, Kai-Keen, Bridgewater, John, Hochhauser, Daniel, Forster, Martin, Lee, Siow-Ming, Ahmad, Tanya, Papadatos-Pastos, Dionysis, Janes, Sam, Van Loo, Peter, Enfield, Katey, McGranahan, Nicholas, Huebner, Ariana, Quezada, Sergio, Beck, Stephan, Parker, Peter, Walczak, Henning, Enver, Tariq, Hynds, Rob, Falzon, Mary, Proctor, Ian, Sinclair, Ron, Lok, Chi-wah, Rhodes, Zoe, Moore, David, Marafioti, Teresa, Borg, Elaine, Mitchison, Miriam, Khiroya, Reena, Trevisan, Giorgia, Ellery, Peter, Linch, Mark, Brandner, Sebastian, Hiley, Crispin, Veeriah, Selvaraju, Razaq, Maryam, Shaw, Heather, Attard, Gert, Akther, Mita Afroza, Naceur-Lombardelli, Cristina, Manzano, Lizi, Al-Bakir, Maise, Summan, Simranpreet, Kanu, Nnenna, Ward, Sophie, Asghar, Uzma, Gishen, Faye, Tookman, Adrian, Stone, Paddy, Stirling, Caroline, Furness, Andrew, Edmonds, Kim, Hunter, Nikki, Sarker, Sarah, Vaughan, Sarah, Mangwende, Mary, Pearce, Karla, Shepherd, Scott, Yan, Haixi, Shum, Ben, Carlyle, Eleanor, Hazell, Steve, Fendler, Annika, Byrne, Fiona, Yousaf, Nadia, Popat, Sanjay, Curtis, Olivia, Stamp, Gordon, Toncheva, Antonia, Nye, Emma, Murra, Aida, Korteweg, Justine, Sheikh, Nahid, Josephs, Debra, Chandra, Ashish, Spicer, James, Mahadeva, Ula, Green, Anna, Stewart, Ruby, Iredale, Lara-Rose, Mackay, Tina, Deakin, Ben, Enting, Debra, Rudman, Sarah, Ghosh, Sharmistha, Karapagniotou, Lena, Pintus, Elias, Tutt, Andrew, Howlett, Sarah, Michalarea, Vasiliki, Brenton, James, Caldas, Carlos, Fitzgerald, Rebecca, Jimenez-Linan, Merche, Provenzano, Elena, Cluroe, Alison, Stewart, Grant, Watts, Colin, Gilbertson, Richard, McDermott, Ultan, Tavare, Simon, Beddowes, Emma, Roxburgh, Patricia, Biankin, Andrew, Chalmers, Anthony, Fraser, Sioban, Oien, Karin, Kidd, Andrew, Blyth, Kevin, Krebs, Matt, Blackhall, Fiona, Summers, Yvonne, Dive, Caroline, Marais, Richard, Gomes, Fabio, Carter, Mat, Dransfield, Jo, Le Quesne, John, Fennell, Dean, Shaw, Jacqui, Naidu, Babu, Baijal, Shobhit, Tanchel, Bruce, Langman, Gerald, Robinson, Andrew, Collard, Martin, Cockcroft, Peter, Ferris, Charlotte, Bancroft, Hollie, Kerr, Amy, Middleton, Gary, Webb, Joanne, Kadiri, Salma, Colloby, Peter, Olisemeke, Bernard, Wilson, Rodelaine, Tomlinson, Ian, Jogai, Sanjay, Ottensmeier, Christian, Harrison, David, Loda, Massimo, Flanagan, Adrienne, McKenzie, Mairead, Hackshaw, Allan, Ledermann, Jonathan, Sharp, Abby, Farrelly, Laura, Bridger, Hayley |
| بيانات النشر: |
Elsevier (Cell Press) |
| سنة النشر: |
2020 |
| المجموعة: |
University of Glasgow: Enlighten - Publications |
| الوصف: |
Although thousands of solid tumors have been sequenced to date, a fundamental under-sampling bias is inherent in current methodologies. This is caused by a tissue sample input of fixed dimensions (e.g., 6 mm biopsy), which becomes grossly under-powered as tumor volume scales. Here, we demonstrate representative sequencing (Rep-Seq) as a new method to achieve unbiased tumor tissue sampling. Rep-Seq uses fixed residual tumor material, which is homogenized and subjected to next-generation sequencing. Analysis of intratumor tumor mutation burden (TMB) variability shows a high level of misclassification using current single-biopsy methods, with 20% of lung and 52% of bladder tumors having at least one biopsy with high TMB but low clonal TMB overall. Misclassification rates by contrast are reduced to 2% (lung) and 4% (bladder) when a more representative sampling methodology is used. Rep-Seq offers an improved sampling protocol for tumor profiling, with significant potential for improved clinical utility and more accurate deconvolution of clonal structure. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
text |
| اللغة: |
English |
| العلاقة: |
http://eprints.gla.ac.uk/220565/1/220565.pdfTest; Litchfield, K. et al. (2020) Representative sequencing: unbiased sampling of solid tumor tissue. Cell Reports , 31(5), 107550. (doi:10.1016/j.celrep.2020.107550 ) (PMID:32375028) |
| الإتاحة: |
https://doi.org/10.1016/j.celrep.2020.107550Test
http://eprints.gla.ac.uk/220565Test/
http://eprints.gla.ac.uk/220565/1/220565.pdfTest |
| حقوق: |
cc_by_nc_nd_4 |
| رقم الانضمام: |
edsbas.D8CFF853 |
| قاعدة البيانات: |
BASE |
