Lucy Stead

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Associate Professor

University of Leeds Leeds Institute of Health Sciences

United Kingdom

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About

Dr. Lucy Stead is an Associate Professor at the University of Leeds, Leeds Institute of Medical Research in the UK. Her research focuses on glioblastoma, utilizing machine learning and transcriptomics to improve understanding of tumor purity, treatment responses, and the genetic evolution of gliomas. She has recently published articles addressing the challenges and advancements in adult brain tumor research and the implications for targeted therapies.

Recent Grants

Grant: Close

Investigating the role of epigenetic remodelling in glioblastoma in response to therapy

Open Date: 2020-04-30

Close Date: 2024-07-30

Grant: Close

Gene expression network analysis to identify candidate drivers of treatment resistance in glioblastoma multiforme

Open Date: 2019-09-30

Close Date: 2023-07-30

Grant: Close

Using nanobiopsy of single brain tumour cells to assess transcriptional reprogramming during standard therapy

Open Date: 2018-12-01

Close Date: 2020-12-01

Grant: Close

Analysing single cells from patient brain tumours

Open Date: 2015-09-01

Close Date: 2016-05-01

Grant: Close

Identifying Treatment Resistant Subclones in Brain Cancer

Open Date: 2015-02-01

Close Date: 2016-01-01

Articles (15)

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2025

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2020

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2020

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2020

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2020

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2020

Collaborators (18)

Luciano Garofano

Research Assistant Professor

University of Miami Miller School of Medicine

UNITED STATES

Lucy Stead

Research Interests

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About

Recent Grants

Articles (15)

GBMPurity: A machine learning tool for estimating glioblastoma tumor purity from bulk RNA-sequencing data

Adult brain tumour research in 2024: Status, challenges and recommendations

IDHwt glioblastomas can be stratified by their transcriptional response to standard treatment, with implications for targeted therapy

Single-cell nanobiopsy enables multigenerational longitudinal transcriptomics of cancer cells

The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data

Investigating the effects of arginine methylation inhibitors on microdissected brain tumour biopsies maintained in a miniaturised perfusion system

Treating glioblastoma often makes a MES

Glioma progression is shaped by genetic evolution and microenvironment interactions

Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data

Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology.

Identification of candidate mediators of chemoresponse in breast cancer through therapy-driven selection of somatic variants.

EGFRvIII upregulates DNA mismatch repair resulting in increased temozolomide sensitivity of MGMT promoter methylated glioblastoma

Expression profiling of single cells and patient cohorts identifies multiple immunosuppressive pathways and an altered NK cell phenotype in glioblastoma

Genomic and Expression Analyses Define MUC17 and PCNX1 as Predictors of Chemotherapy Response in Breast Cancer

Collaborators (18)

Luciano Garofano

Alastair Droop

Jeremie Nsengimana

Tobias Weiss

Pim French

Annette Byrne

Colin A. Johnson

Clemens Oliver Hanemann

Fulvio D'Angelo

Kathreena M Kurian

Thomas Hughes

Andrew Bulpitt

Sandra Bell

Frederick Varn

Susan Short

Lara Bußmann

Anke Brüning-Richardson

David Westhead

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