دورية أكاديمية
Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy.
| العنوان: | Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy. |
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| المؤلفون: | Lasalvia M; Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy., Capozzi V; Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy., Perna G; Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122 Foggia, Italy. Electronic address: giuseppe.perna@unifg.it. |
| المصدر: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2024 Nov 15; Vol. 321, pp. 124683. Date of Electronic Publication: 2024 Jun 19. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: England NLM ID: 9602533 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3557 (Electronic) Linking ISSN: 13861425 NLM ISO Abbreviation: Spectrochim Acta A Mol Biomol Spectrosc Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Original Publication: [Kidlington, Oxford, U.K. ; Tarrytown, NY] : Pergamon, c1994- |
| مواضيع طبية MeSH: | Colonic Neoplasms*/pathology , Colonic Neoplasms*/classification , Principal Component Analysis*, Spectroscopy, Fourier Transform Infrared/methods ; Humans ; Discriminant Analysis ; Least-Squares Analysis ; Algorithms ; Colon/pathology |
| مستخلص: | Colorectal cancer is one of the most diagnosed types of cancer in developed countries. Current diagnostic methods are partly dependent on pathologist experience and laboratories instrumentation. In this study, we used Fourier Transform Infrared (FTIR) spectroscopy in transflection mode, combined with Principal Components Analysis followed by Linear Discriminant Analysis (PCA-LDA) and Partial Least Squares - Discriminant Analysis (PLS-DA), to build a classification algorithm to diagnose colon cancer in cell samples, based on absorption spectra measured in two spectral ranges of the mid-infrared spectrum. In particular, PCA technique highlights small biochemical differences between healthy and cancerous cells: these are related to the larger lipid content in the former compared with the latter and to the larger relative amount of protein and nucleic acid components in the cancerous cells compared with the healthy ones. Comparison of the classification accuracy of PCA-LDA and PLS-DA methods applied to FTIR spectra measured in the 1000-1800 cm -1 (low wavenumber range, LWR) and 2700-3700 cm -1 (high wavenumber range, HWR) remarks that both algorithms are able to classify hidden class FTIR spectra with excellent accuracy (100 %) in both spectral regions. This is a hopeful result for clinical translation of infrared spectroscopy: in fact, it makes reliable the predictions obtained using FTIR measurements carried out only in the HWR, in which the glass slides used in clinical laboratories are transparent to IR radiation. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Colon cancer; Fourier transform Infrared spectroscopy; Partial least squares – discriminant analysis; Principal component analysis – discriminant analysis |
| تواريخ الأحداث: | Date Created: 20240622 Date Completed: 20240810 Latest Revision: 20240810 |
| رمز التحديث: | 20240812 |
| DOI: | 10.1016/j.saa.2024.124683 |
| PMID: | 38908360 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-3557 |
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| DOI: | 10.1016/j.saa.2024.124683 |