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
Department of Biomedical Engineering, The
Catholic University of Korea, Seoul, Seoul, Korea,
of Veterinary Surgery, Konkuk University, Seoul, 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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