M
Mark Rowley
Researcher at King's College London
Publications - 11
Citations - 273
Mark Rowley is an academic researcher from King's College London. The author has contributed to research in topics: Cancer & Random effects model. The author has an hindex of 7, co-authored 10 publications receiving 194 citations.
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Journal ArticleDOI
Acute Immune Signatures and Their Legacies in Severe Acute Respiratory Syndrome Coronavirus-2 Infected Cancer Patients.
Sultan Abdul-Jawad,Luca Bau,Thanussuyah Alaguthurai,Irene del Molino del Barrio,Adam Laing,Thomas Hayday,Leticia Monin,Miguel Muñoz-Ruiz,Louisa Mcdonald,Isaac Francos Quijorna,Duncan R. McKenzie,Richard Davis,Anna Lorenc,Julie Nuo En Chan,Sarah Ryan,Eva Bugallo-Blanco,Rozalyn Yorke,Shraddha Kamdar,Matthew Fish,Matthew Fish,Iva Zlatareva,Pierre Vantourout,Aislinn Jennings,Aislinn Jennings,Sarah Gee,Katie J. Doores,Katharine Bailey,Sophie Hazell,Julien de Naurois,Charlotte Moss,Beth Russell,Aadil A. Khan,Mark Rowley,Reuben Benjamin,Reuben Benjamin,Deborah Enting,Doraid Alrifai,Yin Wu,You Zhou,Paul R. Barber,Tony Ng,James Spicer,Mieke Van Hemelrijck,Mayur Kumar,Jennifer Vidler,Yadanar Lwin,Paul Fields,Paul Fields,Sophia N. Karagiannis,Anthony C. C. Coolen,Anne Rigg,Sophie Papa,Sophie Papa,Adrian Hayday,Adrian Hayday,Piers E.M. Patten,Piers E.M. Patten,Piers E.M. Patten,Sheeba Irshad +58 more
TL;DR: In this paper, the authors investigated how the immune system may be affected by SARS-CoV-2 infection of cancer patients, including those with advanced disease, and showed that recovered solid cancer patients' immunophenotypes resemble those of non-virus-exposed cancer patients.
Proceedings ArticleDOI
Bayesian analysis of fluorescence lifetime imaging data
Mark Rowley,Paul R. Barber,Paul R. Barber,Anthony C. C. Coolen,Borivoj Vojnovic,Borivoj Vojnovic +5 more
TL;DR: In this paper, a photon-by-photon Bayesian analysis method was developed for the accurate analysis of low photon count time-domain FLIM data collected using Time Correlated Single Photon Counting (TCSPC).
Journal ArticleDOI
Robust Bayesian Fluorescence Lifetime Estimation, Decay Model Selection and Instrument Response Determination for Low-Intensity FLIM Imaging
TL;DR: Novel Bayesian methods for the analysis of exponential decay data that exploit the evidence carried by every detected decay event and enables robust extension to advanced processing are presented and two advanced processing methods are demonstrated.
Journal ArticleDOI
HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status
Gregory Weitsman,Paul R. Barber,Lan K. Nguyen,Katherine Lawler,Gargi Patel,Natalie Woodman,Muireann Kelleher,Sarah E Pinder,Mark Rowley,Paul Ellis,Anand D. Purushotham,A C C Coolen,Boris N. Kholodenko,Borivoj Vojnovic,Borivoj Vojnovic,Cheryl Gillett,Tony Ng +16 more
TL;DR: Analysis of 131 tissue microarray cores demonstrated that the extent of HER2-HER3 dimer formation as measured by Förster Resonance Energy Transfer determined through FLIM predicts the likelihood of metastatic relapse up to 10 years after surgery, and Interestingly there was no correlation between the level of Her2 protein expressed and Her2- HER3 heterodimer formation.
Journal ArticleDOI
Prediagnostic serum glucose and lipids in relation to survival in breast cancer patients: a competing risk analysis.
Wahyu Wulaningsih,Mariam Vahdaninia,Mark Rowley,Lars Holmberg,Lars Holmberg,Hans Garmo,Håkan Malmström,Mats Lambe,Niklas Hammar,Niklas Hammar,Göran Walldius,Ingmar Jungner,A C C Coolen,Mieke Van Hemelrijck,Mieke Van Hemelrijck +14 more
TL;DR: Addressing cohort heterogeneity in relation to BC survival is important in understanding the relationship between metabolic markers and cause-specific death in presence of competing outcomes.