Quantification of in vivo tumor invasion and vascularization by computerized image analysis

التفاصيل البيبلوغرافية
العنوان: Quantification of in vivo tumor invasion and vascularization by computerized image analysis
المؤلفون: Maud Jost, Agnès Noël, Silvia Blacher, J. Romer, Leif R. Lund, Laurence Melen-Lamalle, Jean-Michel Foidart
المصدر: Microvascular research. 75(2)
سنة النشر: 2007
مصطلحات موضوعية: Pathology, medicine.medical_specialty, Stromal cell, Skin Neoplasms, Angiogenesis, Angiogenesis Inhibitors, Biology, Matrix metalloproteinase, Biochemistry, Mice, In vivo, Cell Movement, Cell Line, Tumor, Matrix Metalloproteinases, Secreted, medicine, Animals, Neoplasm Invasiveness, Protease Inhibitors, Mice, Knockout, Models, Statistical, Neovascularization, Pathologic, Reproducibility of Results, Cell migration, Signal Processing, Computer-Assisted, Cell Biology, Dipeptides, medicine.disease, Transplantation, Mice, Inbred C57BL, Kinetics, Stromal Cells, Cardiology and Cardiovascular Medicine, Skin Carcinoma, Infiltration (medical), Algorithms
الوصف: The matrix-inserted surface transplantation model is an in vivo assay used to analyse the kinetics of tumor-vessel interactions during different stages of skin carcinoma progression. This system allows the study of host-tumor interface, i.e. penetration of tumor cells into normal host tissue as well as infiltration of normal host cells into the tumor. In the present study, image analysis algorithms for processing and quantifying the extent of such migratory and tissue remodeling events are presented. The proposed method is non-parametric and its originality lies in its particularity to take into account the specific geometry of tumor-host interface. This methodology is validated by evaluating the contribution of matrix metalloproteases (MMPs) in skin carcinoma invasion and vascularization through pharmacological and genetic approaches.
تدمد: 0026-2862
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe7182d4e5dac78bd7c84536b5132380
https://pubmed.ncbi.nlm.nih.gov/17976661
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....fe7182d4e5dac78bd7c84536b5132380
قاعدة البيانات: OpenAIRE