The tumor-stroma ratio in epithelial cancer types: towards implementation in diagnostic pathology

Smit, M.A. (2022)

Doctoral Thesis

This thesis describes the steps necessary for the addition of the tumor-stroma ratio (TSR) into clinical practice as high-risk factor besides the TNM classification. The route from laboratory biomarker development to clinical implementation is followed. During this process, the relationship of the TSR to other available biomarkers for prognostic information for breast and colon cancer patients is investigated. Additionally, the prognostic value of the TSR in lung cancer is studied.

• Tumor-stroma ratio
• Colon cancer
• Personalized Medicine
• Prognostic parameter
• Breast cancer
• Squamous cell lung cancer
• Deep learning
• Articificial intelligence

• All authors: Smit, M.A.
• Supervisor: Tollenaar, R.A.E.M.; Krieken, J.H.J.M. van
• Co-supervisor: Mesker, W.E.
• Committee: Hardwick, J.C.H.; Grünberg, K.; Tanis, P.J.; Peeters, K.C.M.J.
• Qualification: Doctor (dr.)
• Awarding Institution: Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University
• Date: 2022-06-30
• ISBN (print): 9789464238259