Matthew Fittall

Honorary Associate Professor

University College London

United Kingdom

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About

Matthew Fittall is an Honorary Associate Professor at University College London, United Kingdom. His research areas include prostate cancer treatment strategies, tumor genomics, and the impact of COVID-19 on cancer patients. Recent publications highlight his work on survival rates following stereotactic radiosurgery and the development of predictive models for treatment sensitivity in advanced cancers.

Articles (15)

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2025

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2025

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2025

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2024

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2022

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2022

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2022

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2022

Collaborators (19)

Naoto Ueno

Professor of Medicine

University of Hawai'i Cancer Center

UNITED STATES

Matthew Fittall

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Articles (15)

Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction

Re: Creta, M., Shariat, S.F., Marra, G. et al. Local salvage therapies in patients with radio-recurrent prostate cancer following external beam radiotherapy: a systematic review and meta-analysis. Prostate Cancer Prostatic Dis (2024)

Tumor transcriptome-wide expression classifiers predict treatment sensitivity in advanced prostate cancers

Predicting Survival with Brain Metastases in the Stereotactic Radiosurgery Era: are Existing Prognostic Scores Still Relevant? Or Can we do Better?

Survival after Stereotactic Radiosurgery in the Era of Targeted Therapy: Number of Metastases No Longer Matters

Recurrent FOSL1 rearrangements in desmoplastic fibroblastoma

Author Correction: Pan-cancer analysis of whole genomes.

Association of SARS-CoV-2 Spike Protein Antibody Vaccine Response With Infection Severity in Patients With Cancer: A National COVID Cancer Cross-sectional Evaluation.

A population-scale temporal case–control evaluation of COVID-19 disease phenotype and related outcome rates in patients with cancer in England (UKCCP)

The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research

A National Referral Service for Paediatric Brachytherapy: An Evolving Practice and Outcomes Over 13 Years

Author Correction: A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns.

Author Correction: Combined burden and functional impact tests for cancer driver discovery using DriverPower.

Author Correction: Divergent mutational processes distinguish hypoxic and normoxic tumours.

Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Nature Communications, (2020), 11, 1, (733), 10.1038/s41467-019-13824-9)

Collaborators (19)

Naoto Ueno

Wendy Rathmell

Lara Urban

Michael Hubank

John Tadross

Adrienne M Flanagan

Matthew J. Murray

Ville Mustonen

Lennard Lee

Seong Gu Heo

Nigel Jamieson

Francisco G Rodriguez Gonzalez

Dale Garsed

Maxime Tarabichi

David Wedge

Mark Middleton

Tim Robinson

Samantha Bersani

Gary Middleton

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