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Abstract #1078

Principal component directed partial least squares analysis for differentiation of benign and malignant canine breast cancer: HR-MAS NMR spectroscopy-based metabolomic study

Sang-Young Kim 1 , Taehyeong Lee 2 , Hyunju Kim 3 , Eunjung Bang 3 , Hwi-Yool Kim 2 , and Bo-Young Choe 1

1 Department of Biomedical Engineering, The Catholic University of Korea, Seoul, Seoul, Korea, 2 Department of Veterinary Surgery, Konkuk University, Seoul, Korea, 3 Korea Basic Science Institute, Seoul, Korea

In this study, we aimed to evaluate the potential use of HR-MAS NMR spectroscopy on intact tissue specimens as a tool for prediction of canine breast cancer malignancy through multivariate statistical analysis. HR-MAS MR spectra of surgically obtained three types (control, benign, malignant) of breast tissues were acquired. Metabolic profiles were examined using the multivariate statistical model (principal components analysis and orthogonal signal correction pretreated partial least square-discriminate analysis). Our findings demonstrated that PCA directed OSC-PLS-DA analysis using 1H HR-MAS MR metabolic profiles of breast tissues might be an effective diagnostic and prognostic tool for the treatment of breast cancer.

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