Kim Linton
Manchester Academic Health Science Centre
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Kim Linton.
British Journal of Cancer | 2011
Alastair Greystoke; James P B O'Connor; Kim Linton; M B Taylor; Jeff Cummings; Timothy H Ward; F Maders; Adina Hughes; Malcolm R Ranson; Tim Illidge; John Radford; Caroline Dive
Purpose:Treatment efficacy and toxicity are difficult to predict in lymphoma patients. In this study, the utility of circulating biomarkers in predicting and/or monitoring treatment efficacy/toxicity were investigated.Patients and methodsCirculating biomarkers of cell death (nucleosomal DNA (nDNA) and cytokeratin 18 (CK18)), and circulating FLT3 ligand, a potential biomarker of myelosuppression, were assessed before and serially after standard chemotherapy in 49 patients with Hodgkin and non-Hodgkin lymphoma. Cytokeratin 18 is not expressed in lymphoma cells so is a potential biomarker of epithelial toxicity in this setting. Tumour response was assessed before and after completion of chemotherapy by 2D and 3D computed tomography radiological response.Results:Baseline nDNA level was significantly higher in all lymphoma subtypes compared with 61 healthy controls and was prognostic for progression-free survival in diffuse large B-cell lymphoma (DLBCL). Decreases in nDNA levels were observed in the first week after chemotherapy; in FL, early falls in nDNA predicted for long remission following therapy. In DLBCL, elevations in nDNA occurred in cases with progressive disease. Circulating CK18 increased within 48u2009h of chemotherapy and was significantly higher in patients experiencing epithelial toxicity graded >3 by Common Terminology for Classification of Adverse Events criteria. FLT3 ligand was elevated within 3–8 days of chemotherapy initiation and predicted those patients who subsequently developed neutropenic sepsis.Conclusion:These data suggest circulating biomarkers contribute useful information regarding tumour response and toxicity in patients receiving standard chemotherapy and have potential utility in the development of individualised treatment approaches in lymphoma. These biomarkers are now being tested within multicentre phase III trials to progress their qualification.
The Journal of Molecular Diagnostics | 2015
John S. Hall; Suzanne Usher; Richard Byers; Rebekah Clare Higgins; Danish Memon; John Radford; Kim Linton
Emerging therapies targeting the molecularly distinct GCB and non-GCB/ABC subtypes of diffuse large B-cell lymphoma (DLBCL) have created the need to develop an accurate subtyping assay for routine use. We investigated the potential of QuantiGene Plex (QGP)-branched DNA signal amplification assay-for DLBCL subtyping. We performed in silico analysis of public DLBCL datasets to develop and validate a naïve Bayes classifier, and migrated the resulting 21-gene classifier to QGP and real-time quantitative PCR (qPCR) assays. Forty DLBCL formalin-fixed, paraffin-embedded tumors of known subtype (20 per subtype by gene expression profiling of paired fresh-frozen tissues) were reclassified, and results for QGP (on 38/40 for 21/21 targets) and qPCR (on 40/40 samples for 19/21 targets) compared for recapitulation of microarray data and classification accuracy. The 21-gene bayesian classifier achieved mean area under the curve values >0.9 on independent validation. QGP showed a higher correlation with microarray data (mean R(2) = 0.66 ± 0.05 versus 0.34 ± 0.07; P < 0.0001) and classification accuracy (92.1% versus 78.9%). The proportion of validated targets was also higher for QGP (85.7% versus 47.4%). The QGP protocol was rapid and simple to perform, at a cost similar to qPCR. These promising preliminary results strongly support ongoing work to develop a QGP companion diagnostic assay for DLBCL subtyping.
Journal of Pathology Informatics | 2013
Chris J. Rose; Khimara Naidoo; Vanessa Clay; Kim Linton; John Radford; Richard Byers
Background: Multispectral microscopy and multiple staining can be used to identify cells with distinct immunohistochemical (IHC) characteristics. We present here a method called hypothesized interaction distribution (HID) analysis for characterizing the statistical distribution of pair-wise spatial relationships between cells with particular IHC characteristics and apply it to clinical data. Materials and Methods: We retrospectively analyzed data from a study of 26 follicular lymphoma patients in which sections were stained for CD20 and YY1. HID analysis, using leave-one-out validation, was used to assign patients to one of two groups. We tested the null hypothesis of no difference in Kaplan-Meier survival curves between the groups. Results: Shannon entropy of HIDs assigned patients to groups that had significantly different survival curves (median survival was 7.70 versus 110 months, P = 0.00750). Hypothesized interactions between pairs of cells positive for both CD20 and YY1 were associated with poor survival. Conclusions: HID analysis provides quantitative inferences about possible interactions between spatially proximal cells with particular IHC characteristics. In follicular lymphoma, HID analysis was able to distinguish between patients with poor versus good survival, and it may have diagnostic and prognostic utility in this and other diseases.
Leukemia & Lymphoma | 2018
Mary Gleeson; Clare Peckitt; David Cunningham; Adam Gibb; Eliza A. Hawkes; Morgan Back; Binnaz Yasar; Kate Foley; Rebecca Lee; Joanna Dash; Hannah Johnson; Catherine O’Hara; Andrew Wotherspoon; Ayoma D. Attygalle; Lia P Menasce; Patrick Shenjere; Michael Potter; Mark Ethell; Claire Dearden; John Radford; Ian Chau; Kim Linton
Abstract We evaluated the outcomes for patients with peripheral T-cell lymphoma (PTCL) undergoing front-line chemotherapy at our institutions between 2002 and 2012. One hundred and fifty-six patients were eligible, comprising PTCL not otherwise specified (NOS) (nu2009=u200950, 32.0%), angioimmunoblastic T-cell lymphoma (AITL) (nu2009=u200944, 28.2%), anaplastic large-cell lymphoma (ALCL) ALK negative (nu2009=u200923, 14.7%), ALCL ALK positive (nu2009=u200916, 10.3%), and other (nu2009=u200923, 14.7%). Most patients received CHOP (66.0%) and 13.0% received an autologous hematopoietic progenitor cell transplant (HPCT). With a median follow-up of 63.4 months, 5-year overall survival (OS) and progression-free survival (PFS) was 38.8% and 19.8% respectively. Independent risk factors for inferior OS were age >60 years, International Prognostic Index (IPI)u2009≥u20092 and lack of complete response to induction. When responding patients were compared by receipt of an autologous HPCT versus not, HPCT was associated with improved PFS (pu2009=u2009.001) and OS (pu2009=u2009.046) and remained significant for PFS in multivariate analysis suggesting a possible therapeutic benefit.
British Journal of Cancer | 2008
Kim Linton; Yvonne Hey; Emma Saunders; Maria Jeziorska; J. Denton; Claire Wilson; Ric Swindell; Sian Dibben; Crispin J. Miller; Stuart D Pepper; John Radford; A. J. Freemont
Onkologie | 2016
Martin Dreyling; Franck Morschhauser; Krimo Bouabdallah; David Cunningham; Dominique Bron; Kim Linton; Sarit Assouline; Gregor Verhoef; Catherine Thieblemont; Umberto Vitolo; J. Garcia-Vargas; Igor Gorbatchevsky; Manoel Neves; Julia Grunert; Florian Hiemeyer; Barrett H. Childs; Pier Luigi Zinzani
21st European Haematology Association Annual Meeting | 2016
Martin Dreyling; Franck Morschhauser; Krimo Bouabdallah; David Cunningham; Dominique Bron; Kim Linton; Sarit Assouline; Gregor Verhoef; Catherine Thieblemont; Umberto Vitolo; J. Garcia-Vargas; Igor Gorbatchevsky; Manoel Neves; Julia Grunert; Florian Hiemeyer; Barrett H. Childs; Pier Luigi Zinzani
British Society for Haematology 55th Annual Scientific Meeting | 2015
Kim Linton; George A. Follows; Martin Dreyling; Julia Grunert; Florian Hiemeyer; Marius Giurescu; Barrett H. Childs; David Cunningham
Blood | 2015
Mary Gleeson; Kim Linton; Clare Peckitt; Adam Gibb; Eliza A. Hawkes; Morgan Back; Binnaz Yasar; Kate Foley; Rebecca Lee; Joanna Dash; Hannah Johnson; Catherine O'Hara; Andrew Wotherspoon; Ayoma D. Attygalle; Michael Potter; Mark Ethell; Claire Dearden; John Radford; Ian Chau; David Cunningham
In: National Cancer Research Institute Annual Meeting; Birmingham, UK. 2014. | 2014
Laura Cove-Smith; John Radford; Matthias Schmitt; Ruth A. Roberts; Howard R. Mellor; Neal Sherratt; David M. Morris; Jo Naish; Adam Gibb; Joanna Dash; Nerissa Mescallado; M. Harris; Richard A Cowan; Sacha J Howell; Anne C Armstrong; Andrew M. Wardley; Alison Backen; Alan Jackson; Kim Linton; Caroline Dive