David Sebag-Montefiore

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Professor of Clinical Oncology and Health Research

University of Leeds

United Kingdom

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About

David Sebag-Montefiore is a Professor of Clinical Oncology and Health Research at the University of Leeds, UK. His research focuses on various aspects of cancer treatment, particularly in the areas of chemoradiotherapy, machine learning applications in oncology, and imaging techniques for cancer evaluation. Recent publications include investigations into the efficacy of reduced-dose chemoradiotherapy in anal cancer and the role of tumour purity in colorectal cancer analysis.

Recent Grants

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Rationally developing the next generation of personalised targeted drug chemo radiotherapy combination clinical trials in anal cancer.

Open Date: 2023-01-01

Close Date: 2024-01-01

Grant: Open

Leeds Cancer Research Clinical Trials Unit Infrastructure Award

Open Date: 2023-01-01

Close Date: 2028-01-01

Grant: Close

Developing the future chief investigator of technical radiotherapy clinical trials -

Open Date: 2023-01-01

Close Date: 2026-01-01

Grant: Close

ARTEMIS

Open Date: 2021-01-01

Close Date:

Grant: Close

POINTER PC:

Open Date: 2021-01-01

Close Date:

Articles (20)

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2025

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (25)

Maxime Lafarge

University of Basel

SWITZERLAND

David Sebag-Montefiore

Research Interests

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About

Recent Grants

Articles (20)

Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis

Standard versus reduced-dose chemoradiotherapy in anal cancer (PLATO-ACT4)

Standard or high dose chemoradiotherapy, with or without the protease inhibitor nelfinavir, in patients with locally advanced pancreatic cancer: The phase 1/randomised phase 2 SCALOP-2 trial

Brain Re-Irradiation Or Chemotherapy: a phase II randomised trial of re-irradiation and chemotherapy in patients with recurrent glioblastoma (BRIOChe) - protocol for a multi-centre open-label randomised trial.

Stratification to Neoadjuvant Radiotherapy in Rectal Cancer by Regimen and Transcriptional Signatures

Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors.

International consensus to define outcomes for trials of chemoradiotherapy for anal cancer (CORMAC-2): defining the outcomes from the CORMAC core outcome set

Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy

Pre-treatment magnetic resonance imaging in anal cancer: large-scale evaluation of mrT, mrN and novel staging parameters

Hitting the Target: Developing High-quality Evidence for Proton Beam Therapy Through Randomised Controlled Trials.

Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery

A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer

“Global Multidisciplinary Team Meetings”: Challenging Cases Virtual Forums from the International Multidisciplinary Anal Cancer Conference (IMACC)

Prognostic factors for patients with anal cancer treated with conformal radiotherapy—a systematic review

A Phase II trial of Higher RadiOtherapy Dose In The Eradication of early rectal cancer (APHRODITE): protocol for a multicentre, open-label randomised controlled trial

Practical guidance for running late-phase platform protocols for clinical trials: lessons from experienced UK clinical trials units

Quality-of-life outcomes in older patients with early-stage rectal cancer receiving organ-preserving treatment with hypofractionated short-course radiotherapy followed by transanal endoscopic microsurgery (TREC): non-randomised registry of patients unsuitable for total mesorectal excision

The Long and the Short of it: the Role of Short-course Radiotherapy in the Neoadjuvant Management of Rectal Cancer

Addressing the variation in adjuvant chemotherapy treatment for colorectal cancer: Can a regional intervention promote national change?

Assessing the patient experience of anal and rectal cancer MR simulation for radiotherapy treatment planning

Collaborators (25)

Maxime Lafarge

Johan van Soest

Marianne Guren

Louise Murray

Nicholas West

Vicky Goh

Eva Segelov

Pierfrancesco Franco

Joanne Haviland

Sharon B Love

Pradeep Virdee

Philip Dunne

Ultan McDermott

Maria Andreia Hawkins

Richard Adams

Vincenzo Tombolini

Marco Krengli

Ann Henry

Marcel van Herk

Leslie Samuel

Timothy Stanley Maughan

Simon Bach

Chris Hurt

Alexandra Gilbert

Catherine Hanna

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