Oxford Classic-defined EMT risk stratification of High Grade Serous Ovarian cancer for guiding treatment decisions
- Lena Rai 1, Antonella Ravaggi 2, Eliana Bignotti 3, Robert L Hollis 4, Dale W Garsed 5, Ahwan Pandey 6, Kyriaki Barbara Papalois 1, Faheemah Patel 1, Yasmin Kamel 1, Leticia Campo 1, Alistair Easton 1, Joel Nulsen 1, Breeshey Roskams-Hieter 1, Mara Artibani 1, Lili Wang 1, Nosheen Hussain 1, Luyao Wang 1, Nancy Zaarour 1, Aneesh Aggarwal 1, Amro Ahmed-Ebbiary 1, Aws Al-Deka 7, Michael Churchman 4, C Simon Herrington 4, Laura Ardighieri 8, Federico Ferrari 9, Christopher Yau 10, Charlie Gourley 11, Franco Odicino 12, Ahmed Ashour Ahmed 1
- Lena Rai 1, Antonella Ravaggi 2, Eliana Bignotti 3
- 1University of Oxford, Oxford, United Kingdom.
- 2University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy, Italy.
- 3Spedali Civili di Brescia, Brescia, BS, Italy.
- 4University of Edinburgh, Edinburgh, United Kingdom.
- 5Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- 6Peter MacCallum Cancer Centre, Melbourne, NSW, Australia.
- 7University of Cambridge, Cambridge, United Kingdom.
- 8ASST Spedali Civili of Brescia, Brescia, Italy, Italy.
- 9ASST Spedali Civili di Brescia, Brescia, Italy, Italy.
- 10Health Data Research UK, London, United Kingdom.
- 11University of Edinburgh, Edinburgh, Midlothian, United Kingdom.
- 12University of Brescia, Brescia, Italy.
- 0University of Oxford, Oxford, United Kingdom.
|
July 24, 2025
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.A new molecular signature, OxC-EMT, effectively identifies high-risk patients with High Grade Serous Ovarian Cancer (HGSOC). This stratification guides treatment decisions, potentially improving survival rates for those with poor prognosis.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Epithelial to mesenchymal transition (EMT) is linked to poor prognosis in High Grade Serous Ovarian Cancer (HGSOC).
- Identifying molecular signatures for risk stratification in HGSOC has been challenging.
- Improved prognostic tools are needed to guide treatment strategies and enhance patient survival.
Purpose Of The Study
- To develop and validate a molecular signature for robust risk stratification in HGSOC.
- To identify a subset of HGSOC tumors associated with poor prognosis.
- To guide clinical decisions, including surgical strategies and targeted therapies, for improved patient outcomes.
Main Methods
- RNA sequencing was performed on 139 HGSOC tumor samples (Brescia cohort).
- External validation was conducted using 362 (Scottish) and 126 (Garsed) patient cohorts.
- Meta-analysis of 1023 tumors was performed to develop clinically useful risk groups. Therapeutic targets were identified through transcriptomic analysis and multiplex immunofluorescence.
Main Results
- The OxC-EMT signature demonstrated significant prognostic strength across three independent cohorts (Brescia, Scottish, Garsed).
- OxC-EMT risk stratification identified poor-risk HGSOC patients with a 5-year median survival of 13% (high-risk) versus 50% (low-risk) in the Brescia cohort.
- Analysis suggests that alternative surgical strategies and combination therapies (EMT-targeting drugs and immunomodulators) may benefit high-risk patients.
Conclusions
- The study presents a clinically applicable risk stratification strategy for HGSOC.
- The OxC-EMT signature enables identification of high-risk patients.
- Targeted treatment options, including combination therapies, are proposed for high-risk HGSOC patients.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

