Zobrazeno 1 - 10 of 79 pro vyhledávání: '"Susan D Richman"'
1
Akademický článek
Molecular selection of therapy in metastatic colorectal cancer: the FOCUS4 molecularly stratified RCT
Autor: Louise C Brown, David Fisher, Richard Adams, Jenny Seligmann, Matthew Seymour, Richard Kaplan, Susan D Richman, Philip Quirke, Rachel Butler, Helen Roberts, Janet Graham, Richard H Wilson, Timothy S Maughan
Publikováno v: Efficacy and Mechanism Evaluation, Vol 9, Iss 9 (2022)
Background: Complex trials with innovative designs are becoming increasingly common and offer the potential to improve patient outcomes in a shorter time frame. There is evidence that patients with colorectal cancer fall into different subgroups with
Externí odkaz: https://doaj.org/article/a710ce8c7ebb4534b2145ccccfea160e
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2
Akademický článek
The ATOM-Seq sequence capture panel can accurately predict microsatellite instability status in formalin-fixed tumour samples, alongside routine gene mutation testing
Autor: Kanishta Srihar, Arief Gusnanto, Susan D. Richman, Nicholas P. West, Leanne Galvin, Daniel Bottomley, Gemma Hemmings, Amy Glover, Subaashini Natarajan, Rebecca Miller, Sameira Arif, Hannah Rossington, Thomas L. Dunwell, Simon C. Dailey, Gracielle Fontarum, Agnes George, Winnie Wu, Phil Quirke, Henry M. Wood
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Microsatellite instability (MSI) occurs across a number of cancers and is associated with different clinical characteristics when compared to microsatellite stable (MSS) cancers. As MSI cancers have different characteristics, routine MSI tes
Externí odkaz: https://doaj.org/article/a79db419a61e40a695fcb42742c491c4
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3
Akademický článek
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
Autor: Maxime W. Lafarge, Enric Domingo, Korsuk Sirinukunwattana, Ruby Wood, Leslie Samuel, Graeme Murray, Susan D. Richman, Andrew Blake, David Sebag-Montefiore, Simon Gollins, Eckhard Klieser, Daniel Neureiter, Florian Huemer, Richard Greil, Philip Dunne, Philip Quirke, Lukas Weiss, Jens Rittscher, Tim Maughan, Viktor H. Koelzer
Publikováno v: npj Precision Oncology, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract The development of deep learning (DL) models to predict the consensus molecular subtypes (CMS) from histopathology images (imCMS) is a promising and cost-effective strategy to support patient stratification. Here, we investigate whether imCM
Externí odkaz: https://doaj.org/article/069ba3e2373e479787af9c5a62731f11
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4
Akademický článek
A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment
Autor: Amélie Viratham Pulsawatdi, Stephanie G. Craig, Victoria Bingham, Kris McCombe, Matthew P. Humphries, Seedevi Senevirathne, Susan D. Richman, Phil Quirke, Leticia Campo, Enric Domingo, Timothy S. Maughan, Jacqueline A. James, Manuel Salto‐Tellez
Publikováno v: Molecular Oncology, Vol 14, Iss 10, Pp 2384-2402 (2020)
Multiplex immunofluorescence is a powerful tool for the simultaneous detection of tissue‐based biomarkers, revolutionising traditional immunohistochemistry. The Opal methodology allows up to eight biomarkers to be measured concomitantly without cro
Externí odkaz: https://doaj.org/article/ddaedcd62c55444cbbab846a80836163
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