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Discrimination of melanoma cell lines with Fourier Transform Infrared (FTIR) spectroscopy.
Shakya, Bijay Ratna; Teppo, Hanna-Riikka; Rieppo, Lassi.
Afiliação
  • Shakya BR; Research Unit of Medical Imaging, Physics and Technology, University of Oulu/Faculty of Medicine, Aapistie 5 A, 90220 Oulu, Finland. Electronic address: bijay.shakya@oulu.fi.
  • Teppo HR; Cancer Research and Translational Medicine Research Unit, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland; Department of Pathology, Oulu University Hospital, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland. Electronic address: hanna-riikka.teppo@oulu.fi.
  • Rieppo L; Research Unit of Medical Imaging, Physics and Technology, University of Oulu/Faculty of Medicine, Aapistie 5 A, 90220 Oulu, Finland. Electronic address: lassi.rieppo@oulu.fi.
Spectrochim Acta A Mol Biomol Spectrosc ; 254: 119665, 2021 Jun 05.
Article em En | MEDLINE | ID: mdl-33744696
Among skin cancers, melanoma is the lethal form and the leading cause of death in humans. Melanoma begins in melanocytes and is curable at early stages. Thus, early detection and evaluation of its metastatic potential are crucial for effective clinical intervention. Fourier transform infrared (FTIR) spectroscopy has gained considerable attention due to its versatility in detecting biochemical and biological features present in the samples. Changes in these features are used to differentiate between samples at different stages of the disease. Previously, FTIR spectroscopy has been mostly used to distinguish between healthy and diseased conditions. With this study, we aim to discriminate between different melanoma cell lines based on their FTIR spectra. Formalin-fixed paraffin embedded samples from three melanoma cell lines (IPC-298, SK-MEL-30 and COLO-800) were used. Statistically significant differences were observed in the prominent spectral bands of three cell lines along with shifts in peak positions. A partial least square discriminant analysis (PLS-DA) model built for the classification of three cell lines showed an overall accuracy of 92.6% with a sensitivity of 85%, 95.75%, 96.54%, and specificity of 97.80%, 92.14%, 98.64% for the differentiation of IPC-298, SK-MEL-30, and COLO-800, respectively. The results suggest that FTIR spectroscopy can differentiate between different melanoma cell lines and thus potentially characterize the metastatic potential of melanoma.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Melanoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article