Mass Spectrometry-Based Detection of Inhibin as a Biomarker for Granulosa Cell Tumours

Research area

 |  ovarian cancer

Keywords

 |  inhibin, granulosa cell tumour, ovarian cancer, biomarker discovery, mass spectrometry, proteomics, low-abundance proteins, translational research, tumour biomarkers, recurrence monitoring, diagnostic biomarkers, clinical proteomics, endocrine cancer, analytical oncology, biomarker validation

Suitability

 |  Honours, Masters, BMedSc(Hons)

Project description

Granulosa cell tumours are rare ovarian cancers for which reliable biomarkers are important for diagnosis, monitoring, and detection of recurrence. Inhibins are among the best recognised circulating biomarkers for these tumours, but current detection methods can be limited by sensitivity, specificity, and technical variability. Improved methods for detecting inhibin could have important translational value in the clinical management of patients with GCT.

Our laboratory is developing mass spectrometry-based approaches to improve the detection and quantification of inhibin and related low-abundance proteins in biological samples. This work involves the use of advanced proteomic technologies, including strategies to enrich or detect low-level biomarkers that may otherwise be difficult to measure using standard immunoassays. The project forms part of a broader translational effort to improve biomarker discovery and validation in rare ovarian cancers.

This project will suit students interested in cancer biomarkers, translational research, proteomics, and analytical technologies. It offers an opportunity to contribute to the development of innovative approaches for clinically relevant biomarker detection, with potential applications in diagnosis, disease monitoring, and recurrence surveillance.