Professor Ahmed Ahmed
Contact information
Jingyi Sang
jingyi.sang@wrh.ox.ac.uk
Collaborators
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Mara Artibani
Postdoctoral Research Assistant in Cancer Stem Cells
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Lena Rai
Postdoctoral Research Assistant in Ovarian Cancer
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May Sallam
Postdoctoral Research Assistant in Stem Cell Biology
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Luyao Wang
Postdoctoral Research Assistant in Translational Cancer Immunology
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Nancy Zaarour
Research Fellow
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Aneesh Aggarwal
MSc by Research Student
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Jingyi Sang
PA to Prof Ahmed Ahmed
Ahmed Ahmed
MBBCH, MSc, MD, MRCOG, PhD
Professor of Gynaecological Oncology
- Consultant Gynaecological Oncology Surgeon
- Director of the Ovarian Cancer Cell Laboratory at the Weatherall Institute of Molecular Medicine
Research groups
Latest Paper
The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells Click here to read

Click here to watch video: "Scientists closer to finding the cell of origin for ovarian cancer"
BIOGRAPHY
I am a Professor of Gynaecological Oncology at the Nuffield Department of Women's & Reproductive Health at the University of Oxford and a Consultant Gynaecological Oncology Surgeon at the Oxford Cancer and Haematology Centre and is a Fellow of St Hugh’s College. I lead laboratory-based translational research in Gynaecological Oncology. My main research interest is in the surgical, medical and fundamental research into ovarian cancer. I graduated from Ain Shams University in Cairo, Egypt and completed my PhD and Gynaecological Oncology Surgical training at the University of Cambridge. I received my postdoctoral research training at the University of Cambridge and at the University of Texas, M.D. Anderson Cancer Centre in the USA. I was appointed as a Clinical Reader in Oxford in 2010 and became a Medical Research Council Senior Clinical Research Fellow at the Weatherall Institute of Molecular Medicine and Professor of Gynaecological Oncology in 2012.
Colleges
Key publications
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The Repertoire of Serous Ovarian Cancer Non-genetic Heterogeneity Revealed by Single-Cell Sequencing of Normal Fallopian Tube Epithelial Cells
Journal article
Hu Z. et al, (2020), Cancer Cell, 37, 226 - 242.e7
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A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes
Journal article
KaramiNejadRanjbar M. et al, (2020), eLife, 9
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Premalignant SOX2 overexpression in the fallopian tubes of ovarian cancer patients: Discovery and validation studies
Journal article
Hellner K. et al, (2016), EBioMedicine, 10, 137 - 149
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Salt-Inducible Kinase 2 Couples Ovarian Cancer Cell Metabolism with Survival at the Adipocyte-Rich Metastatic Niche
Journal article
Miranda F. et al, (2016), Cancer Cell, 30, 273 - 289
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SIK2 Is a Centrosome Kinase Required for Bipolar Mitotic Spindle Formation that Provides a Potential Target for Therapy in Ovarian Cancer
Journal article
Ahmed AA. et al, (2010), Cancer Cell, 18, 109 - 121
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Tuning microtubule dynamics to enhance cancer therapy by modulating FER-mediated CRMP2 phosphorylation
Journal article
Zheng Y. et al, (2018), Nature Communications, 9
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A pan-cancer genome-wide analysis reveals tumour dependencies by induction of nonsense-mediated decay
Journal article
Hu Z. et al, (2017), Nature Communications, 8
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Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary
Journal article
Ahmed AA. et al, (2010), The Journal of Pathology, 221, 49 - 56
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Critical questions in ovarian cancer research and treatment: Report of an American Association for Cancer Research Special Conference.
Journal article
AHMED AHMED. et al, (2019), Cancer
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Enhanced Immunogenicity of Mitochondrial-Localized Proteins in Cancer Cells
Conference paper
Prota G. et al, (2020), Cancer Immunology Research, 8, 685 - 697
Recent publications
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Oxford Classic-defined EMT risk stratification of High Grade Serous Ovarian cancer for guiding treatment decisions
Journal article
AHMED A., (2025), Clinical Cancer Research
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LCN2-mediated ferroptosis resistance in tissue homeostasis and early-stage tumorigenesis of the fallopian tube epithelium
Journal article
Imaeda K. et al, (2025), iScience, 112654 - 112654
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Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology
Journal article
Hu Y. et al, (2025), Medical Image Analysis, 101, 103437 - 103437