Luis Felipe das Chagas E Silva de Carvalho1, Thiago Martini Pereira2, Taciana Depra Magrini3, Ana Sueli Rodrigues Cavalcante4, Herculano da Silva Martinho5, Janete Dias Almeida4. 1. Laboratory of Biomedical Vibrational Spectroscopy, Universidade do Vale do Paraíba, São José dos Campos, São Paulo, Brazil. Electronic address: luisfelipecarvalho@hotmail.com. 2. Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo, São José dos campos, São Paulo, Brazil. 3. Laboratory of Biomedical Vibrational Spectroscopy, Universidade do Vale do Paraíba, São José dos Campos, São Paulo, Brazil. 4. Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, Univ Estadual Paulista (UNESP), São José dos Campos, São Paulo, Brazil. 5. Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, São Paulo, Brazil.
Abstract
Actinic cheilitis (AC) is considered a potentially malignant disorder of the lip. Biomolecular markers study is important to understand malignant transformation into squamous cell carcinoma. Fourier transform infra red (FT-IR) spectroscopy was used to analyze AC in this study. OBJECTIVES: The aim of the study was to evaluate if FT-IR spectral regions of nucleic acids and collagen can help in early diagnosis of malignant transformation. METHODS: Tissues biopsies of 14 patients diagnosed with AC and 14 normal tissues were obtained. FT-IR spectra were measured at five different points resulting in 70 spectra of each. Analysis of Principal components analysis (PCA) and linear discrimination analysis (LDA) model were also used. In order to verify the statistical difference in the spectra, Mann-Whitney U test was performed in each variable (wavenumber) with p-value <0.05. RESULTS: After the Mann-Whitney U test the vibrational modes of CO (Collagen 1), PO2 (Nucleic Acids) and CO asymmetric (Triglycerides/Lipids) were observed as a possible spectral biomarker. These bands were chosen because they represent the vibrational modes related to collagen and DNA, which are supposed to be changed in AC samples. Based on the PCA-LDA results, the predictive model corresponding to the area under the curve was 0.91 for the fingerprint region and 0.83 for the high wavenumber region, showing the greater accuracy of the test. CONCLUSIONS: FT-IR changes in collagen and nucleic acids could be used as molecular biomarkers for malignant transformation. Copyright Â
Actinic cheilitis (AC) is considered a potentially malignant disorder of the lip. Biomolecular markers study is important to understand malignant transformation into squamous cell carcinoma. Fourier transform infra red (FT-IR) spectroscopy was used to analyze AC in this study. OBJECTIVES: The aim of the study was to evaluate if FT-IR spectral regions of nucleic acids and collagen can help in early diagnosis of malignant transformation. METHODS: Tissues biopsies of 14 patients diagnosed with AC and 14 normal tissues were obtained. FT-IR spectra were measured at five different points resulting in 70 spectra of each. Analysis of Principal components analysis (PCA) and linear discrimination analysis (LDA) model were also used. In order to verify the statistical difference in the spectra, Mann-Whitney U test was performed in each variable (wavenumber) with p-value <0.05. RESULTS: After the Mann-Whitney U test the vibrational modes of CO (Collagen 1), PO2 (Nucleic Acids) and CO asymmetric (Triglycerides/Lipids) were observed as a possible spectral biomarker. These bands were chosen because they represent the vibrational modes related to collagen and DNA, which are supposed to be changed in AC samples. Based on the PCA-LDA results, the predictive model corresponding to the area under the curve was 0.91 for the fingerprint region and 0.83 for the high wavenumber region, showing the greater accuracy of the test. CONCLUSIONS: FT-IR changes in collagen and nucleic acids could be used as molecular biomarkers for malignant transformation. Copyright Â
Authors: Luis Felipe C S Carvalho; Marcelo Saito Nogueira; Lázaro P M Neto; Tanmoy T Bhattacharjee; Airton A Martin Journal: Biomed Opt Express Date: 2017-10-24 Impact factor: 3.732