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Proceedings Paper

Biochemical and molecular characterization of thyroid tissue by micro-Raman spectroscopy and gene expression analysis
Author(s): Lázaro P. M. Neto; Aírton A. Martin; Claudio A. T. Soto; André B. O. Santos; Evandro S. Mello; Marina A. Pereira; Cláudio R. Cernea; Lenine G. Brandão; Renata A. Canevari
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Paper Abstract

Thyroid carcinomas represent the main endocrine malignancy and their diagnosis may produce inconclusive results. Raman spectroscopy and gene expression analysis have shown excellent results on the differentiation of carcinomas. This study aimed to improve the discrimination between different thyroid pathologies combining of both analyses. A total of 35 thyroid tissues samples including normal tissue (n=10), goiter (n=10), papillary (n=10) and follicular carcinomas (n=5) were analyzed. Confocal Raman spectra was obtain by using a Rivers Diagnostic System, 785 nm laser excitation and CCD detector. The data was processed by the software Labspec5 and Origin 8.5 and analyzed by Minitab® program. The gene expression analysis was performed by qRT-PCR technique for TG, TPO, PDGFB, SERPINA1, LGALS3 and TFF3 genes and statistically analyzed by Mann-Whitney test. The confocal Raman spectroscopy allowed a maximum discrimination of 91.1% between normal and tumor tissues, 84.8% between benign and malignant pathologies and 84.6% among carcinomas analyzed. Significant differences was observed for TG, LGALS3, SERPINA1 and TFF3 genes between benign lesions and carcinomas, and SERPINA1 and TFF3 genes between papillary and follicular carcinomas. Principal component analysis was performed using PC1 and PC2 in the papillary carcinoma samples that showed over gene expression when compared with normal sample, where 90% of discrimination was observed at the Amide 1 (1655 cm-1), and at the tyrosine spectra region (856 cm-1). The discrimination of tissues thyroid carried out by confocal Raman spectroscopy and gene expression analysis indicate that these techniques are promising tools to be used in the diagnosis of thyroid lesions.

Paper Details

Date Published: 29 February 2016
PDF: 22 pages
Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 96892A (29 February 2016); doi: 10.1117/12.2212701
Show Author Affiliations
Lázaro P. M. Neto, Univ. do Vale do Paraíba (Brazil)
Aírton A. Martin, Univ. do Vale do Paraíba (Brazil)
Claudio A. T. Soto, Univ. do Vale do Paraíba (Brazil)
André B. O. Santos, Univ. de São Paulo (Brazil)
Evandro S. Mello, Univ. de São Paulo (Brazil)
Marina A. Pereira, Univ. de São Paulo (Brazil)
Cláudio R. Cernea, Univ. de São Paulo (Brazil)
Lenine G. Brandão, Univ. de São Paulo (Brazil)
Renata A. Canevari, Univ. do Vale do Paraíba (Brazil)

Published in SPIE Proceedings Vol. 9689:
Photonic Therapeutics and Diagnostics XII
Hyun Wook Kang; Guillermo J. Tearney; Melissa C. Skala; Bernard Choi; Andreas Mandelis; Brian J. F. Wong; Justus F. Ilgner; Nikiforos Kollias; Paul J. Campagnola; Kenton W. Gregory; Laura Marcu; Haishan Zeng, Editor(s)

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