Optical Characterization of Breast Cancer using Fourier Transform Infrared Spectroscopy
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Background: Breast cancer is the second most common cancer worldwide and the leading cause of cancer death among women. Early detection and diagnosis can significantly improve patient outcomes. Fourier transform infrared (FTIR) spectroscopy is a non-invasive diagnostic tool that can provide valuable information on the molecular composition of biological samples. It has been shown to be effective in diagnosing various diseases, including cancer. This proposal aims to investigate the potential of FTIR spectroscopy as a diagnostic tool for breast cancer. Objectives: To identify differences in molecular composition between cancer tissue and normal tissue obtained from the breast cancer patients using Fourier transform infrared (FTIR) spectroscopy. To develop a diagnostic model for breast cancer using FTIR spectroscopy and assess its accuracy, sensitivity, and specificity. Methodology: In present study thirty biopsy proven cases of carcinoma breast and 6 fibroadenoma patients as control were included after informed written consent. In the present study we have collect blood and the cancerous and normal tissue of breast cancer patients and characterize the tissue with Fourier Transform Infrared Spectroscopy (FTIR). Results: Characterization of serum and tissue samples is shown in figures 1-figure 6. Figures indicate that there is a difference between the spectra of both groups. Absorbance of cancer tissue is more as compare to normal tissue sample. Discriminating wavenumber associated spectral difference in the range of 950-1200 cm-1 (sugar), 2800-3000 cm-1 (stretching motions of –CH2 and -CH3) and 3090-3700 cm-1 (NH stretching) region. Conclusion: There is spectral difference between the cancerous and non-cancerous group. This spectral difference is related to the difference in the protein conformation in the serum and tissue samples of two groups. It can be concluded that FTIR spectroscopy is able to discriminate between breast cancer and healthy serum sample.