ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study

Detalhes bibliográficos
Autor(a) principal: Ferreira, Izabella Cristina Costa
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da UFU
Texto Completo: https://repositorio.ufu.br/handle/123456789/21037
http://dx.doi.org/10.14393/ufu.di.2018.140
Resumo: The increasing worldwide incidence of breast cancer and the absence of sufficient and reliable methods for early detection require search for more effective techniques. A potential candidate technique is the attenuated total reflection-Fourier transform infrared (ATR-FTIR), which consists on a vibrational spectroscopy that can effectively provide information concerning the structure and chemical composition of biological materials at the molecular level. Most of the work on the application of FTIR for breast cancer detection use tissue and blood. However, more non-invasive methods are required, for example, using saliva. This study aims to investigate differences in the spectra between the analyzed groups of patients, as well as the specific influence of the relevant clinical characteristics of breast cancer patients. Moreover, the possible vibrational modes and molecules that contribute to the spectral differences are described. Saliva samples were collected before surgery from 10 patients with confirmed breast cancer by clinical, histological, and pathologic examination; 10 patients with benign breast disease; and 10 without pathological findings, the control group. Saliva samples were processed and lyophilized overnight. The spectra were measured in a FTIR spectrometer VERTEX 70/70v coupled with platinum diamond ATR. ATR-FTIR spectroscopy was capable to discriminate breast cancer saliva from benign breast disease and control. It was found higher absorbance levels in breast cancer patients at wavenumber 1041 cm-1, with reasonable accuracy, and in the area of 1433-1302.9 cm-1 region, with good accuracy. These increase in absorbance levels between breast cancer and the other two groups of patients was associated to changes in vibrational modes of nucleic acids, protein, lipids and carbohydrates. Changes in absorptions bands within breast cancer group were found to be dependent of the tumor phenotype and related mainly to protein and nucleic acid. Therefore, the FTIR spectroscopy was capable to show biochemical changes in saliva components as result of breast carcinogenesis that cause different vibrational modes in the biomolecules. This study is the first to generate FTIR spectra from saliva and derive chemical fingerprints for the purpose of diagnosis and prognosis of breast cancer. It is important to note that differently from other methods that search biomarkers in saliva, FTIR detect changes at a multi-molecular level, being a promising tool for early diagnosis and prognosis of breast cancer.
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spelling ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary studyAnálise da espectroscopia ATR-FTIR de componentes da saliva como ferramenta diagnóstica e prognóstica para o Câncer de Mama: um estudo preliminarBreast cancerSalivaATR-FTIR spectroscopyCâncer de mamaEspectroscopia ATR-FTIRCNPQ::CIENCIAS BIOLOGICASThe increasing worldwide incidence of breast cancer and the absence of sufficient and reliable methods for early detection require search for more effective techniques. A potential candidate technique is the attenuated total reflection-Fourier transform infrared (ATR-FTIR), which consists on a vibrational spectroscopy that can effectively provide information concerning the structure and chemical composition of biological materials at the molecular level. Most of the work on the application of FTIR for breast cancer detection use tissue and blood. However, more non-invasive methods are required, for example, using saliva. This study aims to investigate differences in the spectra between the analyzed groups of patients, as well as the specific influence of the relevant clinical characteristics of breast cancer patients. Moreover, the possible vibrational modes and molecules that contribute to the spectral differences are described. Saliva samples were collected before surgery from 10 patients with confirmed breast cancer by clinical, histological, and pathologic examination; 10 patients with benign breast disease; and 10 without pathological findings, the control group. Saliva samples were processed and lyophilized overnight. The spectra were measured in a FTIR spectrometer VERTEX 70/70v coupled with platinum diamond ATR. ATR-FTIR spectroscopy was capable to discriminate breast cancer saliva from benign breast disease and control. It was found higher absorbance levels in breast cancer patients at wavenumber 1041 cm-1, with reasonable accuracy, and in the area of 1433-1302.9 cm-1 region, with good accuracy. These increase in absorbance levels between breast cancer and the other two groups of patients was associated to changes in vibrational modes of nucleic acids, protein, lipids and carbohydrates. Changes in absorptions bands within breast cancer group were found to be dependent of the tumor phenotype and related mainly to protein and nucleic acid. Therefore, the FTIR spectroscopy was capable to show biochemical changes in saliva components as result of breast carcinogenesis that cause different vibrational modes in the biomolecules. This study is the first to generate FTIR spectra from saliva and derive chemical fingerprints for the purpose of diagnosis and prognosis of breast cancer. It is important to note that differently from other methods that search biomarkers in saliva, FTIR detect changes at a multi-molecular level, being a promising tool for early diagnosis and prognosis of breast cancer.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorCNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoDissertação (Mestrado)A crescente incidência mundial de câncer de mama e a ausência de métodos confiáveis e suficientes para detecção precoce exigem a busca de técnicas mais efetivas. Uma potencial técnica candidata é a reflexão total atenuada - infravermelho de transformação de Fourier (ATR-FTIR), que consiste em uma espectroscopia vibratória que pode efetivamente fornecer informações sobre a estrutura e composição química de materiais biológicos a nível molecular. A maioria dos trabalhos sobre a aplicação de FTIR para detecção de câncer de mama utiliza tecido e sangue. No entanto, são necessários mais métodos não invasivos, por exemplo, usando saliva. Este estudo tem como objetivo investigar as diferenças nos espectros entre os grupos analisados, bem como a influência específica das características clínicas relevantes dos pacientes com câncer de mama. Além disso, são descritos os possíveis modos vibracionais e moléculas que contribuem para as diferenças dos espectros. As amostras de saliva foram coletadas antes da cirurgia de 10 pacientes com câncer de mama confirmado por exame clínico, histológico e patológico; 10 pacientes com doença benigna da mama; e 10 sem achados patológicos, o grupo controle. As amostras de saliva foram processadas e liofilizadas durante a noite. Os espectros foram medidos em um espectrômetro FTIR VERTEX 70 / 70v acoplado com diamante de platina ATR. A espectroscopia ATR-FTIR foi capaz de discriminar a saliva de pacientes com câncer de mama da saliva de pacientes com doença benigna da mama e controles. Verificaram-se maiores níveis de absorbância em pacientes com câncer de mama no número de onda 1041 cm-1, com acurácia razoável e na área de 1433-1302,9 cm-1, com boa acurácia. Este aumento nos níveis de absorbância entre o câncer de mama e os outros dois grupos de pacientes foi associado a mudanças nos modos vibracionais de ácidos nucleicos, proteínas, lipídios e carboidratos. As alterações nas bandas de absorção no grupo do câncer de mama revelaram-se dependentes do fenótipo do tumor e relacionadas principalmente a proteína e ácido nucleico. Portanto, a espectroscopia FTIR foi capaz de mostrar alterações bioquímicas nos componentes da saliva como resultado da carcinogênese da mama que causa diferentes modos vibracionais nas biomoléculas. Este estudo é o primeiro a gerar espectros FTIR da saliva e derivar “fingerprints” químicas para fins de diagnóstico e prognóstico do câncer de mama. É importante notar que, diferentemente de outros métodos que pesquisam biomarcadores na saliva, o FTIR detecta mudanças em um nível multi-molecular, sendo uma ferramenta promissora para o diagnóstico precoce e prognóstico do câncer de mama.Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Genética e BioquímicaMaia, Yara Cristina de PaivaPriuli, Angela Aparecida Servino de SenaSilva, Robinson Sabino daFerreira, Izabella Cristina Costa2018-03-29T16:25:59Z2018-03-29T16:25:59Z2017-07-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfFERREIRA, Izabella Cristina Costa. ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for breast cancer: a preliminary study. 2017. 77 f. Dissertação (Mestrado em Genética e Bioquímica) - Universidade Federal de Uberlândia, Uberlândia, 2017. Programa de Pós-graduação em Genética e Bioquímica.https://repositorio.ufu.br/handle/123456789/21037http://dx.doi.org/10.14393/ufu.di.2018.140enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2019-11-06T13:12:24Zoai:repositorio.ufu.br:123456789/21037Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2019-11-06T13:12:24Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
Análise da espectroscopia ATR-FTIR de componentes da saliva como ferramenta diagnóstica e prognóstica para o Câncer de Mama: um estudo preliminar
title ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
spellingShingle ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
Ferreira, Izabella Cristina Costa
Breast cancer
Saliva
ATR-FTIR spectroscopy
Câncer de mama
Espectroscopia ATR-FTIR
CNPQ::CIENCIAS BIOLOGICAS
title_short ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
title_full ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
title_fullStr ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
title_full_unstemmed ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
title_sort ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for Breast Cancer: a preliminary study
author Ferreira, Izabella Cristina Costa
author_facet Ferreira, Izabella Cristina Costa
author_role author
dc.contributor.none.fl_str_mv Maia, Yara Cristina de Paiva
Priuli, Angela Aparecida Servino de Sena
Silva, Robinson Sabino da
dc.contributor.author.fl_str_mv Ferreira, Izabella Cristina Costa
dc.subject.por.fl_str_mv Breast cancer
Saliva
ATR-FTIR spectroscopy
Câncer de mama
Espectroscopia ATR-FTIR
CNPQ::CIENCIAS BIOLOGICAS
topic Breast cancer
Saliva
ATR-FTIR spectroscopy
Câncer de mama
Espectroscopia ATR-FTIR
CNPQ::CIENCIAS BIOLOGICAS
description The increasing worldwide incidence of breast cancer and the absence of sufficient and reliable methods for early detection require search for more effective techniques. A potential candidate technique is the attenuated total reflection-Fourier transform infrared (ATR-FTIR), which consists on a vibrational spectroscopy that can effectively provide information concerning the structure and chemical composition of biological materials at the molecular level. Most of the work on the application of FTIR for breast cancer detection use tissue and blood. However, more non-invasive methods are required, for example, using saliva. This study aims to investigate differences in the spectra between the analyzed groups of patients, as well as the specific influence of the relevant clinical characteristics of breast cancer patients. Moreover, the possible vibrational modes and molecules that contribute to the spectral differences are described. Saliva samples were collected before surgery from 10 patients with confirmed breast cancer by clinical, histological, and pathologic examination; 10 patients with benign breast disease; and 10 without pathological findings, the control group. Saliva samples were processed and lyophilized overnight. The spectra were measured in a FTIR spectrometer VERTEX 70/70v coupled with platinum diamond ATR. ATR-FTIR spectroscopy was capable to discriminate breast cancer saliva from benign breast disease and control. It was found higher absorbance levels in breast cancer patients at wavenumber 1041 cm-1, with reasonable accuracy, and in the area of 1433-1302.9 cm-1 region, with good accuracy. These increase in absorbance levels between breast cancer and the other two groups of patients was associated to changes in vibrational modes of nucleic acids, protein, lipids and carbohydrates. Changes in absorptions bands within breast cancer group were found to be dependent of the tumor phenotype and related mainly to protein and nucleic acid. Therefore, the FTIR spectroscopy was capable to show biochemical changes in saliva components as result of breast carcinogenesis that cause different vibrational modes in the biomolecules. This study is the first to generate FTIR spectra from saliva and derive chemical fingerprints for the purpose of diagnosis and prognosis of breast cancer. It is important to note that differently from other methods that search biomarkers in saliva, FTIR detect changes at a multi-molecular level, being a promising tool for early diagnosis and prognosis of breast cancer.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-31
2018-03-29T16:25:59Z
2018-03-29T16:25:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv FERREIRA, Izabella Cristina Costa. ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for breast cancer: a preliminary study. 2017. 77 f. Dissertação (Mestrado em Genética e Bioquímica) - Universidade Federal de Uberlândia, Uberlândia, 2017. Programa de Pós-graduação em Genética e Bioquímica.
https://repositorio.ufu.br/handle/123456789/21037
http://dx.doi.org/10.14393/ufu.di.2018.140
identifier_str_mv FERREIRA, Izabella Cristina Costa. ATR-FTIR spectroscopy analysis of saliva components as a diagnostic and prognostic tool for breast cancer: a preliminary study. 2017. 77 f. Dissertação (Mestrado em Genética e Bioquímica) - Universidade Federal de Uberlândia, Uberlândia, 2017. Programa de Pós-graduação em Genética e Bioquímica.
url https://repositorio.ufu.br/handle/123456789/21037
http://dx.doi.org/10.14393/ufu.di.2018.140
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Genética e Bioquímica
publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Programa de Pós-graduação em Genética e Bioquímica
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFU
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Repositório Institucional da UFU
collection Repositório Institucional da UFU
repository.name.fl_str_mv Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv diinf@dirbi.ufu.br
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