Exploiting chromosomal instability across the ovarian–endometrial axis: models, mechanisms and therapeutic targeting

Closing date: 23/11/2026

Non-Clinical Studentship Project: Exploiting chromosomal instability across the ovarian–endometrial axis: models, mechanisms and therapeutic targeting

Lead Supervisors: Dr Beth Barnes
Co-Supervisors:
Professor Stephen Taylor, Dr Sarah Kitson

Applications Deadline: 12:00pm Monday 23rd November 2026
Interviews: Friday 5th February 2027 (in Manchester) 
Start date: September 2027

Project Keywords: Chromosomal Instability, disease models, gynaecological cancer 
Research Opportunity: Non-Clinical Studentship leading to the award of PhD

Project Outline

The most aggressive ovarian and endometrial cancers converge on a common phenotype: extensive chromosomal instability (CIN) – ongoing chromosomal changes that generate karyotypic heterogeneity within a tumour, linked to poor patient outcomes. This project asks whether this instability creates shared vulnerabilities we can exploit to find new treatments for patients who currently have few options. 

This project will address three main areas: 

  1. Many cancer cell lines were classified before current molecular taxonomies existed, and endometrial cancer lines lack the histotype benchmarking already established for ovarian cancer. Using transcriptomics and machine learning, you will build the first harmonised classification of ovarian and endometrial cancer cell lines, revealing therapeutic targets hiding in plain sight. 
  2. You will generate new endometrial cancer models, using modern culture conditions designed to preserve tumour diversity, something older methods often failed to capture. You will analyse these models alongside ovarian cancer models from our Living Ovarian Biobank, challenging both with existing and emerging drugs and using long-read sequencing to map the genomic changes underlying chromosomal instability, linking mechanism directly to treatment response. 
  3. Finally, you will address a fundamental open question: where do these cancers actually originate? Using DNA methylation-based lineage tracing, you will compare normal and cancerous tissue from the ovary, fallopian tube and endometrium to trace each tumour’s cell of origin and test whether it shapes biology and treatment response. 

Throughout, you will work within an interdisciplinary team of clinicians and scientists, gaining a thorough grounding in wet-lab and bioinformatic techniques spanning cell biology, translational oncology and genomics. You will benefit from the MCRC’s excellent core facilities, present your work at conferences, and gain experience in patient and public involvement, all within a collaborative, translationally focused, state-of-the-art research environment, while contributing directly to the development of more effective treatments for women with gynaecological cancers. 

Applications for this project are now open. Please complete your application on The University of Manchester website.

About Dr Beth Barnes (project Lead Supervisor)

“I am a Thornley Lecturer in Cancer Bioinformatics and lead a newly established hybrid computational and experimental cancer biology group focused on high-grade serous ovarian cancer (HGSOC), the most common and lethal form of ovarian cancer. 

 My research asks why tumours with the same diagnosis can behave so differently — displaying distinct molecular identities, functional behaviours and responses to treatment. We combine patient-derived experimental models with transcriptomic, genomic and other omic data to identify tumour-cell programmes, biomarkers, candidate regulators and new therapeutic opportunities. 

Prior to becoming a lecturer, I completed a BSc in Biochemistry with a year in industry, followed by a PhD at the University of Manchester investigating the epigenetics of ageing and UV exposure. I then moved to the Division of Cancer Sciences and Professor Stephen Taylor’s lab, where I undertook my postdoctoral research before being promoted to Research Fellow.”

Find out more

Beth Barnes headshot

Key information

Before submitting an application, please ensure you have read the information below about the funding arrangements and eligibility for Non-Clinical Studentships.

We also encourage you to get in contact with the lead supervisor to discuss the project and any particulars.

Further information is available on the Non-Clinical PhD Studentships webpage.

Useful Links

Submit your application

Interested in applying for this opportunity? Submit your application on The University of Manchester application portal.

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