An optimised saliva collection method to produce high-yield, high-quality RNA for translational research.

Autor: Roisin Sullivan, Susan Heavey, David G Graham, Rachel Wellman, Saif Khan, Sri Thrumurthy, Benjamin S Simpson, Tina Baker, Sarah Jevons, Jose Ariza, Victor Eneh, Hayley Pye, Hayley Luxton, Rifat Hamoudi, Hayley Whitaker, Laurence B Lovat

Publikováno v: PLoS ONE, Vol 15, Iss 3, p e0229791 (2020)

Saliva represents an ideal matrix for diagnostic biomarker development as it is readily available and requires no invasive collection procedures. However, salivary RNA is labile and rapidly degrades. Previous attempts to isolate RNA from saliva have

Externí odkaz: https://doaj.org/article/bfb08694d38e4c588b963dcf60b1bbe1

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

Autor: Sharon Cave, Vinay Sehgal, Samuel J Lovat, Lyndsey Fieldson, Eliyahu M Heifetz, Beverley Longhurst, Jan Bornschein, Debasis Majumdar, Matthew R. Banks, Kathryn Brown, Jayne Butcher, Morgan Moorghen, Omer F. Ahmad, Grace Adesina, Myrna Udarbe, Suzanne Henry, Sarah Jevons, M Al-Izzi, Joan Idris, Rommel Butawan, Elizabeth L. Bird-Lieberman, Julie Ingmire, Steve Bown, Beverley Haynes, Ash Wilson, Peter Sasieni, Nick Hayes, Gayle Clifford, Jacquelyn Harvey, Marco Novelli, Tara Nuckcheddy Grant, Marc Hopton, Kassem Manuf, Carly Brown, Sabrina Holohan, Samantha Warburton, Roisin Schimmel, Uria Noiman, John Louis-Auguste, Manuel Rodriguez–Justo, Mina Patel, Avi Rosenfeld, Roisin Bevan, Leanne Mills, Gideon Lipman, Shajahan Wahed, David Graham, Elizabeth Green, Yean Lim, Jonathan R. White, Mordehy Ben-Zecharia, Rami Sweis, Glynis Rose, Wanfeng Zhao, Sarmed S. Sami, Reshma Kanani, Laurence Lovat, Claire Shaw, Sarah Kerr, Nigel Butter, Karen Coker, Alison Winstanley, Haroon Miah, Jacobo Fernandez-Sordo Ortiz, Caroline Wilson, Roberto Cayado Lopez, Rebecca C. Fitzgerald, Bincy Alias, Massimiliano di Pietro, Anne Eastick, Darina Kohoutova, Ian Sargeant, Adil Butt, Rupam Bhattacharyya, Abdullah Mawas, Lisa Gadeke, Nelson Kath Houghton, Kareem M. Shariff, Mariann Baulf, Richmond Abeseabe, Peter Basford, Helen Bailey, Scott Elliot, Philippa Laverick, Eleanor Dewhurst, Victor Eneh, Anita Gibbons, Rehan Haidry, Daryl Hagan, Jose Ariza

Publikováno v: The Lancet: Digital Health, Vol 2, Iss 1, Pp e37-e48 (2020)

Summary Background Screening for Barrett's oesophagus relies on endoscopy, which is invasive and few who undergo the procedure are found to have the condition. We aimed to use machine learning techniques to develop and externally validate a simple ri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401663ab0c67d40c05c28e01f65d70e1
https://doi.org/10.1016/s2589-7500(19)30216-x

Machine learning to predict early recurrence after oesophageal cancer surgery

Autor: S A Rahman, R C Walker, M A Lloyd, B L Grace, G I van Boxel, B F Kingma, J P Ruurda, R van Hillegersberg, S Harris, S Parsons, S Mercer, E A Griffiths, J R O'Neill, R Turkington, R C Fitzgerald, T J Underwood, Ayesha Noorani, Rachael Fels Elliott, Paul A W Edwards, Nicola Grehan, Barbara Nutzinger, Jason Crawte, Hamza Chettouh, Gianmarco Contino, Xiaodun Li, Eleanor Gregson, Sebastian Zeki, Rachel de la Rue, Shalini Malhotra, Simon Tavaré, Andy G Lynch, Mike L Smith, Jim Davies, Charles Crichton, Nick Carroll, Peter Safranek, Andrew Hindmarsh, Vijayendran Sujendran, Stephen J Hayes, Yeng Ang, Shaun R Preston, Sarah Oakes, Izhar Bagwan, Vicki Save, Richard J E Skipworth, Ted R Hupp, J Robert O'Neill, Olga Tucker, Andrew Beggs, Philippe Taniere, Sonia Puig, Timothy J Underwood, Fergus Noble, James P Byrne, Jamie J Kelly, Jack Owsley, Hugh Barr, Neil Shepherd, Oliver Old, Jesper Lagergren, James Gossage, Andrew Davies Fuju Chang, Janine Zylstra, Vicky Goh, Francesca D Ciccarelli, Grant Sanders, Richard Berrisford, Catherine Harden, David Bunting, Mike Lewis, Ed Cheong, Bhaskar Kumar, Simon L Parsons, Irshad Soomro, Philip Kaye, John Saunders, Laurence Lovat, Rehan Haidry, Victor Eneh, Laszlo Igali, Michael Scott, Shamila Sothi, Sari Suortamo, Suzy Lishman, George B Hanna, Christopher J Peters, Anna Grabowska

Publikováno v: on behalf of the OCCAMS Consortium, Rahman, S A, Walker, R C, Lloyd, M A, Grace, B L, van Boxel, G I, Kingma, B F, Ruurda, J P, van Hillegersberg, R, Harris, S, Parsons, S, Mercer, S, Griffiths, E A, O'Neill, J R, Turkington, R, Fitzgerald, R C & Underwood, T J 2020, ' Machine learning to predict early recurrence after oesophageal cancer surgery ', British Journal of Surgery, vol. 107, no. 8, pp. 1042-1052 . https://doi.org/10.1002/bjs.11461
The British Journal of Surgery

Background Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20–30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7baa9c5e8d31ed77fb83c07c2aab1614

Tu1914 DNA Ploidy Abnormalities Correlate With Increasing Degree of Dysplasia in Cases Referred to a Specialist Clinical Image Cytometry Service for the Management of Barrett's Esophagus

Autor: Manuel Rodriguez-Justo, Rehan Haidry, Matthew R. Banks, Marco Novelli, Eleanor S. Bloom, John R. Louis-Auguste, Mohammed A. Butt, Dahmane Oukrif, Victor Eneh, Laurence Lovat

Publikováno v: Gastroenterology. 144:S-879

Introduction In Barrett’s oesophagus (BE), Barrett’s dysplasia and esophageal carcinoma (EC) there can be genomic instability. This instability leads to DNA abnormalities, typically aneuploidy, where cells accumulate abnormal amounts of DNA. Tetr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4c65249f06033204ce857be5b29ea48
https://doi.org/10.1016/s0016-5085(13)63270-9