FTIR and Raman microspectroscopy of normal, benign, and malignant formalin-fixed ovarian tissues

Abstract

Ovarian cancer is the sixth most common cancer among women worldwide, and mortality rates from this cancer are higher than for other gynecological cancers. This is attributed to a lack of reliable screening methods and the inadequacy of treatment modalities for the advanced stages of the disease. FTIR and Raman spectroscopic studies of formalin-fixed normal, benign, and malignant ovarian tissues have been undertaken in order to investigate and attempt to understand the underlying biochemical changes associated with the disease, and to explore the feasibility of discriminating between these different tissue types. Raman spectra of normal tissues indicate the dominance of proteins and lower contents of DNA and lipids compared to malignant tissues. Among the pathological tissues studied, spectra from benign tissues seem to contain more proteins and less DNA and lipids compared to malignant tissue spectra. FTIR studies corroborate these findings. FTIR and Raman spectra of both normal and benign tissues showed more similarities than those of malignant tissues. Cluster analysis of first-derivative Raman spectra in the 700-1700 cm(-1) range gave two clear groups, one corresponding to malignant and the other to normal+benign tissues. At a lower heterogeneity level, the normal+benign cluster gave three nonoverlapping subclusters, one corresponding to normal and two for benign tissues. Cluster analysis of second-derivative FTIR spectra in the combined spectral regions of 1540-1680 and 1720-1780 cm(-1) resulted into two clear clusters corresponding to malignant and normal+benign tissues. The cluster corresponding to normal+benign tissues produced nonoverlapping subclusters for normal and benign tissues at a lower heterogeneity level. The findings of this study demonstrate the feasibility of Raman and FTIR microspectroscopic discrimination of formalin-fixed normal, benign, and malignant ovarian tissues.

Cellular injury evidenced by impedance technology and infrared microspectroscopy

“…The applications of the technique include structure elucidation of compounds [1] and peptides [2,3], identification of different bacterial strains [4,5] and antimicrobial compounds affecting bacterial viability [6], the discrimination of diseased and healthy tissues or cells [7][8][9], cell cycle analysis [10], the effects of known toxins on cells [11] and the identification of molecular targets of natural and synthetic anticancer drugs [12][13][14][15].…”

Application of Fourier Transform Infrared Spectroscopy for Tumor Diagnosis

“…Recently some spectral methods have been applied for evaluation of malignancies, and some attempts have been made to utilize some of these tests as screening techniques (4,11,31,35,36,43). infrared spectroscopy is a powerful tool for studies of the composition and structure of cellular components (1,49,50).…”

Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier–Transform Infrared Imaging Technique

“…[9][10][11][12][13] Moreover, FTIR analysis can be totally automatized, thereby avoiding inherent operator variability. This technique has proven effective to discriminate between tumor and normal tissues 14,15 and between benign and malignant lesions 14,16 and also, identify drug resistance in cancer. 17,18 Infrared spectroscopy has also been used to identify renal stones 19,20 and characterize renal tumor tissues.…”