74P - Infrared imaging: A potential new tool to probe tumor cells and their immune micro-environment in breast cancer?

Date 07 May 2015
Event IMPAKT 2015
Session Welcome reception and Poster Walk
Topics Breast Cancer
Imaging, Diagnosis and Staging
Translational Research
Presenter Magali Verdonck
Citation Annals of Oncology (2015) 26 (suppl_3): 15-24. 10.1093/annonc/mdv117
Authors M. Verdonck1, S. Garaud2, R. de Wind3, K. Willard-Gallo2, E. Goormaghtigh1
  • 1Structure And Function Of Biological Membranes, Université Libre de Bruxelles-Campus de la Plaine, 1050 - Brussels/BE
  • 2Molecular Immunology Unit, Institute Jules Bordet, Brussels/BE
  • 3Anatomical Pathology Department, Institute Jules Bordet, Brussels/BE



Breast cancer is a highly heterogeneous disease, its complexity is therefore not totally reflected by the current classification methods. Tumor Infiltrating Lymphocytes (TILs) have been associated with effective therapeutic response and favorable clinical outcomes. Furthermore Fourier Transform InfraRed (FTIR) spectroscopy coupled with microscopy is an emerging tool in cancer research and diagnosis. Infrared (IR) imaging can probe the chemical composition and molecular structure of cells and tissues, thereby providing a global and unique signature for all cellular constituents. This study investigates the potential for using IR imaging to identify and characterize tumor cells and lymphocyte subpopulations in breast tumor tissue sections. Compared with standard techniques used for identification and characterization of tumor and immune cells in tissue sections, IR imaging has numerous advantages, including no requirement for staining or automation. More precisely FTIR images were recorded on samples of breast tumor, adjacent non tumor and healthy breast tissues. Spectroscopic imaging data were acquired in transmission mode using a Hyperion imaging system (Bruker) equipped with a Focal Plane Array detector. Different areas of interest containing specific lymphocyte subpopulations and epithelial tumor cells were identified using adjacent stained tissue sections. Statistical analyses indicate that IR spectra recorded on breast tumor cells and lymphocytes show distinct features compared with other cell types which enable their effective and automated identification on tissue sections. Examination of breast tumor IR spectra also enables to identify specific signatures related to clinicopathological parameters. Our results also reveal that CD4+, CD8+ and CD20+ cells are significantly different from each other. Moreover the IR spectra of TILs differ depending on the proximity of immune cells with breast tumor cells. In conclusion our data indicate that FTIR imaging could be used to identify and characterize breast tumor cells and lymphocyte subpopulations in breast tissue sections based on the spectral characteristics of cells

Disclosure: All authors have declared no conflicts of interest.