Infrared imaging in breast cancer
| Autor: | Ghizlane Rouas, Christos Sotiriou, Christine Desmedt, Audrey Bénard, Françoise Rothé, Denis Larsimont, Philippe Szternfeld, Naima Kheddoumi, Margarita Smolina, Magali Verdonck, Erik Goormaghtigh |
|---|---|
| Přispěvatelé: | Laboratory of Molecullar and Cellular Therapy, Basic (bio-) Medical Sciences |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Stromal cell
Tumor Microenvironment/physiology Breast Neoplasms Biochemistry Analytical Chemistry Lymphocytic Infiltrate Random Allocation Breast cancer Spectroscopy Fourier Transform Infrared Electrochemistry medicine Tumor Microenvironment Environmental Chemistry Humans Lymphocytes Grading (tumors) Spectroscopy Tumor microenvironment business.industry Breast Neoplasms/diagnosis Epithelial Cells medicine.disease Lymphocytes/chemistry Epithelial Cells/chemistry Spectroscopy Fourier Transform Infrared/methods Cancer research Female Breast disease Breast cancer cells Wound healing business |
| Popis: | 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. In this study, we report the successful application of FTIR (Fourier transform infrared) imaging for breast tissue component characterization. We show that specific FTIR spectral signatures can be assigned to the major tissue components of breast tumor samples. We demonstrate that a tissue component classifier can be built based on a spectral database of well-annotated tissues and successfully validated on independent breast samples. We also demonstrate that spectral features can reveal subtle differences within a tissue component, capturing for instance lymphocytic and stromal activation. By investigating in parallel lymph nodes, tonsils and wound healing tissues, we prove the uniqueness of the signature of both lymphocytic infiltrate and tumor microenvironment in the breast disease context. Finally, we demonstrate that the biochemical information reflected in the epithelial spectra might be clinically relevant for the grading purpose, suggesting potential to improve breast cancer management in the future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|