William Cross

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Lecturer

University of Westminster

United Kingdom

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About

William Cross is a Lecturer at the University of Westminster, UK. His research primarily focuses on precision oncology, colorectal cancer, and sarcomas, as evidenced by his recent publications. Notable topics include the role of genomic data in cancer evolution, adaptive mutability in mismatch repair-deficient colorectal cancer, and the implications of circulating tumour DNA as a biomarker. His work contributes significantly to advancements in digital pathology and targeted treatment strategies.

Recent Grants

Grant: Close

Posthumous evaluation of a high-grade widely disseminated chondrosarcoma though analysis of its evolutionary history

Open Date: 2019-09-01

Close Date: 2022-01-01

Articles (12)

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2024

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2024

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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

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2021

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2020

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2020

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2020

Collaborators (18)

Demetra Georgiou

Imperial College London

UNITED KINGDOM

William Cross

Research Interests

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About

Recent Grants

Articles (12)

Closing the loop – the role of pathologists in digital and computational pathology research

Insights for precision oncology from the integration of genomic and clinical data of 13,880 tumors from the 100,000 Genomes Cancer Programme.

Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer.

A genetic model for central chondrosarcoma evolution correlates with patient outcome

Germline MBD4 deficiency causes a multi-tumor predisposition syndrome

Immunosuppressive niche engineering at the onset of human colorectal cancer

Circulating tumour DNA is a promising biomarker for risk stratification of central chondrosarcoma with IDH1/2 and GNAS mutations

Reconstructing single-cell karyotype alterations in colorectal cancer identifies punctuated and gradual diversification patterns

The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies

Measuring single cell divisions in human tissues from multi-region sequencing data

Sarcoma and the 100,000 Genomes Project: our experience and changes to practice

Subclonal reconstruction of tumors by using machine learning and population genetics

Collaborators (18)

Demetra Georgiou

Arne Van Hoeck

Giulio Caravagna

Benjamin Werner

Ian Majewski

Adrienne M Flanagan

C Simon Herrington

Tom Fowler

Eszter Lakatos

Weini Huang

Steven Hargreaves

Andrew Green

Hannah Deborah West

Paul Cool

David Barnes

Andrea Sottoriva

Christopher J. Whelan

Iben Lyskjær

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