John Le Quesne

Professor John Le Quesne is the Mazumdar-Shaw Professor of Molecular Pathology at the University of Glasgow's School of Cancer Sciences and leads the Deep Phenotyping of Solid Tumours research group at the Cancer Research UK Scotland Institute (formerly the Beatson Institute for Cancer Research). His work bridges molecular pathology, cancer biology, and advanced imaging technologies to understand solid tumor development and progression.

His educational background includes an MA in Natural Sciences from Cambridge University, a PhD in Biochemistry from the University of Leicester, and an MBBS with Distinction in Medical Sciences from St. Bartholomew's and the Royal London School of Medicine. He is a Fellow of the Royal College of Pathologists (FRCPath).

Professor Le Quesne's research focuses on three main areas: the dysregulation of mRNA translation in tumor cells and stroma, the development of multiplexed microscopic imaging methods to reveal cellular detail in spatial context, and the improvement of biomarkers for predicting personalized treatment efficacy. His laboratory has particular expertise in lung cancer and mesothelioma, where they've developed large focused tissue collections for study.

His recent publications demonstrate a strong emphasis on spatial biology, tumor evolution, and the application of artificial intelligence to cancer pathology. His work frequently appears in high-impact journals including Nature, Nature Medicine, and the Journal of Pathology, with significant contributions to understanding how molecular and epigenetic events interact with tumor morphology in early cancer development.

Scientific Awards:

• Associate fellowship, Higher Education Academy (2018)
• Oakley Prize, Pathological Society (2013)
• Foulkes Foundation Fellowship (1999-2004)

Professor Le Quesne serves on the CRUK PEACE governance Board and is a board member of the Journal of Pathology. His laboratory includes multiple postdoctoral scientists, scientific officers, and students working on various aspects of solid tumor biology. His research has important implications for understanding how morphology encodes specific survival strategies that drive tumor virulence and metastasis.

His laboratory is actively involved in developing new methods for co-in situ hybridization and immunofluorescence using archival tumor tissue, as well as creating computational tools like PixlMap for cellular phenotyping in multiplex immunofluorescence images.