|Abstract : Current evaluation of histological sections of breast cancer samples remains unsatisfactory. The search for new predictive and prognostic factors is ongoing. Infrared spectroscopy and its potential to probe tissues and cells at the molecular level without requirement for contrast agents could be an attractive tool for clinical and diagnostic analysis of breast cancer. This technology could potentially help to automate part of the pathological assessment of the tumors, limiting the inter- and intra-observer contributions in the diagnosis and prognosis decisions but also off-load pathologists from their enormous daily work.
In this study, we will develop a tissue component classifier based on a spectral database of well-characterized breast cancer cell colonies grown in a 3-dimensional matrix in the presence of other cell types (fibroblasts,..). The unique infrared signature of each subtype of cancer cell will be used to identify these subtypes from human breast cancer obtained after surgery. FTIR imaging will also identify subtle differences associated with “activation” of fibroblasts and lymphocytes as well as changes in the extracellular matrix (ECM).
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|Promoteur/Supervisor : Prof. Goormaghtigh Erik|
|Email : email@example.com|
|Site Web/Web site : |
|Centre de recherche/Research center : Center for Structural Biology and Bioinformatics|
|Faculté/Faculty : Faculty of Sciences/Faculté des Sciences|
|Ecole doctorale/Graduate Colleges : Science/Sciences|
|Ecole doctorale thématique/Graduate School (French Only): Structure et fonction des macromolécules biologiques, bioinformatique et modélisation (SFMBBM)|