Infrared imaging in breast cancer: automated tissue component recognition and spectral characterization of breast cancer cells as well as the tumor microenvironment.

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.

FTIR spectral signature of the effect of cardiotonic steroids with antitumoral properties on a prostate cancer cell line.

We show in the present work that the infrared (IR) spectrum of human PC-3 prostate cancer cells exposed to anticancer drugs could offer a unique opportunity to get a fingerprint of all the major biochemical components (DNA, RNA, proteins, lipids, etc.) present in the cells and to identify with high sensitivity the signature of the metabolic changes induced by anticancer drugs. We investigated here the FTIR-related signatures of the effect of 4 structurally-related cardiotonic steroids (CS), i.e. ouabain, 19-hydroxy-2″-oxovoruscharin, hellebrin and 19-hydroxy-hellebrin on PC-3 cancer cells incubated between 0 and 36 h in the absence (control) or the presence of the CS. For each molecule a single spectral signature described the largest part of the time dependent modifications with a possible very minor second component. The spectral signatures characterizing the effects of each of the four CS were unique but very similar when compared to the signature of the effect of an intercalating anticancer drug, i.e. doxorubicin, selected as a positive reference compound in our study, suggesting a fully distinct set of cellular perturbations. The current study thus illustrates that Fourier Transform Infrared (FTIR) analyses can be used to identify, among the perturbations induced on a given cancer cell line, the features common to a group of anticancer compounds as well as features specific to every single drug.

Protein secondary structure content in solution, films and tissues: redundancy and complementarity of the information content in circular dichroism, transmission and ATR FTIR spectra.

The paper presents a simple and robust method to determine protein secondary structure from circular dichroism, transmission and attenuated total reflection (ATR) Fourier transform infrared spectra. It is found that the different spectroscopic methods bring valuable but roughly identical information on the secondary structure of proteins. ATR and transmission FTIR spectra display distinct differences, yet the secondary structure can be predicted from their spectra with roughly the same success. It is also found that one wavenumber or wavelength includes the large majority of the information correlated with secondary structure content and no more than 3 significant independent wavenumbers/wavelengths could be found for any of the spectroscopic data. This finding indicates that more complex linear combinations of the absorbance or ellipticities will not further improve secondary structure predictions. Furthermore, the information content in CD, transmission and ATR FTIR spectra is largely redundant. If combining CD and FTIR results in some improvement of structure prediction quality, the improvement is too modest to prompt spectroscopists to collect different spectroscopic data for structure prediction purposes. On the other hand, the data collected show that the quality of the FTIR spectrometers is such that biosensors or imaging methods sampling from 10(-9) to 10(-15) g yield spectra of sufficient quality to analyze protein secondary structure. These new techniques open the way to a new area of research, both in protein conformational response to ligand and imaging at sub-cellular scales.