The Potential utility of fourier transform infrared spectroscopy for the diagnosis and the prognosis of non-hodgkin lymphoma

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Background: Fourier Transform Infrared (FTIR) can detect slight change in the biochemical global composition in samples taken from patients with Non-Hodgkin’s lymphomas (NHL) including changes in carbohydrates, proteins, nucleic acid, lipids or even water. These small changes might serve early detection before any morphological changes occur. Patients and methods: The study included samples from (30) patients with diffuse large B-cell lymphomas (DLBCL) and samples from (33) healthy controls. The serum samples were analyzed using FTIR spectroscopy and the resulted data were analyzed using support vector machine (SVM) learning. Results: Ranges 1240-1190 cm-1 and 1140-1000 cm-1 had the best true positive, false negative and accuracy results. True negative, false positive, specificity and precision were best seen in Range 1580-1480 cm-1 and sensitivity was best seen in Range 3500-2800 cm-1. Ranges 1240-1190 cm-1 and 1140-1000 cm-1 represent frequencies that are assigned to bonds found in nucleic acids. Conclusion: FTIR spectra ranges that could be recommended to be used as diagnostic and prognostic tool for DLBCL patients are 3500-2800,1580-1480 and 1240-1000 cm-1. The finding that the most important changes occurs in the nucleic acids may has therapeutic implication.