The FTIR spectroscopy combined with appropriate data handling frameworks has been widely applied in many oncological studies 9 such as studies involving the cancers of the cervix 13, the lung 14, the breast 15, the skin 16, the gastro-intestine 17, the prostate 18, the colon 19, the ovary 20, the urinary bladder 21 and many other body parts. This technique extracts a snapshot of molecular components within the diagnostic medium and provides a holistic biochemistry of that medium 12. Developing a rapid and reliable prescreening strategy for melanoma and lymphoma is thus critical because of early diagnosis and treatment of these malignancies better improve 6, 7 the patient’s chances of survival.įourier Transform Infrared (FTIR) spectroscopy is an attractive technique for a rapid, reliable and affordable screening of multiple diseases 8, 9, 10, 11. Although significant improvement has been made to stabilize the number of NHL cases and to increase its five-year survival rate, the existing diagnostic techniques, which include the histological examination using biopsy, are time-consuming, invasive, costly, and are not accessible to the entire at-risk population. At the same time, non-Hodgkin’s lymphoma (NHL) 4, a solid tumorous condition of the immune system with a wide range of histological appearance and clinical features, accounts 4.3% of all new cancer cases in the US 5. The increase has been of the order of 3–7% per year among fair-skinned populations 3. The incidence rates of cutaneous melanoma 1, a deadly form of skin cancer, has been increasing in many regions and populations over the last few decades 2. This technique may thus be useful for having individualized route maps for rapid evaluation of lymphoma and melanoma status and associated therapeutic modalities. Infrared absorbance values of the different spectral bands, hierarchical clustering and integral values of the component bands by curve fitting, show statistically significant differences (student’s t-test, two-tailed unequal variance p-value < 0.05) between spectra representing healthy and tumorous mouse. The study of both cancer-bearing mouse models in wild types and their corresponding control types, emphasizes the diagnostic potential of this approach as a screening technique for non-Hodgkin lymphoma and melanoma skin cancer. An EL4 mouse model of non-Hodgkin lymphoma and a B16 mouse model of subcutaneous melanoma are used to extract a snapshot of tumor-associated alteration in the serum. ![]() This study presents, attenuated total reflection Fourier transforms infrared spectroscopy of dried serum samples in an effort to assess biochemical changes induced by non-Hodgkin’s lymphoma and subcutaneous melanoma.
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