Stepwise modelling of fallopian tube pre-cancerous changes to identify early detection biomarkers for ovarian cancer

Closing date: 09/03/2026

MB-PhD Studentship: Stepwise modelling of fallopian tube pre-cancerous changes to identify early detection biomarkers for ovarian cancer

Lead Supervisors: Dr Christine Schmidt
Co-Supervisors:
Prof. Richard Edmondon, Dr Stefan Meyer, Prof. Patrick Caswell

Applications Deadline: Monday 9th March 2026
Interviews: Week commencing 27th April 2026
Start date: September 2026

Project Keywords: Early detection, organoids, high-grade serous ovarian cancer (HGSOC)
Research Opportunity: MB-PhD Studentship

Project Outline

Ovarian cancer, particularly high-grade serous ovarian cancer (HGSOC), is the most lethal gynaecological cancer, with a 5-year survival rate of only ~40% that has remained largely unchanged for decades. Poor survival is mainly due to late-stage diagnosis, but despite major efforts, current screening tools lack the sensitivity and specificity needed for early detection. At present, the only option for prevention is risk-reducing surgery to remove fallopian tubes and ovaries. There is a clear unmet need for safer, more effective strategies to detect ovarian cancer earlier.

A recent paradigm shift suggests that HGSOC often originates in the fallopian tube, beginning as pre-cancerous serous tubal intraepithelial carcinoma (STIC) lesions. These lesions take ~7 years to progress to invasive cancer, providing a wide window for early detection. However, little is known about how STIC lesions develop or the signals they release, as they are usually identified only after fallopian tube removal.

This project will develop organoid models of STIC lesions, enabling the study of these otherwise inaccessible lesions in a controlled, physiologically relevant system. Proteomic analysis of the secretomes using state-of-the-art mass spectrometry will identify potential biomarkers with high resolution. Findings will be integrated with patient-derived tissue samples and clinical data to ensure translational relevance. This approach will yield unique insights into early disease biology and inform strategies for earlier, more targeted detection of ovarian cancer.

The student will gain expertise in molecular biology, proteomics, and translational cancer research within Manchester’s internationally recognised ovarian cancer programme. By investigating the STIC lesion secretomes, the research could shape future screening strategies and guide more effective treatments, with the ultimate goal of improving early detection and reducing unnecessary surgeries. The student will be embedded in a collaborative team of scientists and clinicians, working towards real clinical impact while developing skills for a career in academic medicine.

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

About Dr Christine Schmidt (project Lead Supervisor)

Research in the group aims to better understand how cells maintain stable genomes and how genomically instable cancers can be detected and targeted in novel ways. Specifically, we are working on two topics to improve strategies of preventing and treating diseases of unmet need in the future.

1. How do ubiquitylation pathways regulate the DNA damage response and associated processes? To address this, we are integrating cell biology, biochemistry, bioinformatics and high through-put/high-content quantitative microscopy/microarray techniques. The importance of ubiquitylation and DNA damage response pathways is illustrated by a declining ubiquitin system and accumulating DNA damage giving rise to various human disorders such as cancer and neurodegenerative diseases.

2. Ovarian cancer displays rampant genomic instability and has low long-term survival rates with less than 30 percent of women outliving the disease for more than ten years, mainly due to a lack of early detection methods. We are establishing cutting-edge nanotechnology, cell biology, molecular biology, biochemistry and advanced microscopy methods to develop innovative biohybrid drug-delivery vehicles to detect and target the disease earlier.

 

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Dr Christine Schmidt

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