Study of aggressiveness prediction of mammary adenocarcinoma by Raman spectroscopy

Renata Andrade Bitar; Herculano da Silva Martinho; Leandra Náira Zambelli Ramalho; Arnaldo Rodrigues dos Santos Junior; Fernando Silva Ramalho; Leandro Raniero; Airton A. Martin

doi:10.1117/12.909159

31 January 2012 Study of aggressiveness prediction of mammary adenocarcinoma by Raman spectroscopy

Renata Andrade Bitar, Herculano da Silva Martinho, Leandra Náira Zambelli Ramalho, Arnaldo Rodrigues dos Santos Junior, Fernando Silva Ramalho, Leandro Raniero, Airton A. Martin

Author Affiliations +

Proceedings Volume 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry; 821914 (2012) https://doi.org/10.1117/12.909159
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

Although there are many articles focused on in vivo or ex vivo Raman analysis for cancer diagnosis, to the best of our knowledge its potential to predict the aggressiveness of tumor has not been fully explored yet. In this work Raman spectra in the finger print region of ex vivo breast tissues of both healthy mice (normal) and mice with induced mammary gland tumors (abnormal) were measured and associated to matrix metalloproteinase-19 (MMP-19) immunohistochemical exam. It was possible to verify that normal breast, benign lesions, and adenocarcinomas spectra, including the subtypes (cribriform, papillary and solid) could have their aggressiveness diagnosed by vibrational Raman bands. By using MMP- 19 exam it was possible to classify the samples by malignant graduation in accordance to the classification results of Principal Component Analysis (PCA). The spectra NM /MH were classified correctly in 100% of cases; CA/CPA group had 60 % of spectra correctly classified and for PA/AS 54% of the spectra were correctly classified.

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Renata Andrade Bitar, Herculano da Silva Martinho, Leandra Náira Zambelli Ramalho, Arnaldo Rodrigues dos Santos Junior, Fernando Silva Ramalho, Leandro Raniero, and Airton A. Martin "Study of aggressiveness prediction of mammary adenocarcinoma by Raman spectroscopy", Proc. SPIE 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry, 821914 (31 January 2012); https://doi.org/10.1117/12.909159

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KEYWORDS

Raman spectroscopy

Tissues

Tumors

Principal component analysis

Breast

Mammary gland

Solids

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