An HR-MAS MR metabolomics study on breast tissues obtained with core needle biopsy.
BACKGROUND
Much research has been devoted to the development of new breast cancer diagnostic measures, including those involving high-resolution magic angle spinning (HR-MAS) magnetic resonance (MR) spectroscopic techniques. Previous HR-MAS MR results have been obtained from post-surgery samples, which limits their direct clinical applicability.


RESULTS
In the present study, we performed HR-MAS MR spectroscopic studies on 31 breast tissue samples (13 cancer and 18 non-cancer) obtained by percutaneous core needle biopsy. We showed that cancer and non-cancer samples can be discriminated very well with Orthogonal Projections to Latent Structure-Discriminant Analysis (OPLS-DA) multivariate model on the MR spectra. A subsequent blind test showed 69% sensitivity and 94% specificity in the prediction of the cancer status. A spectral analysis showed that in cancer cells, taurine- and choline-containing compounds are elevated. Our approach, additionally, could predict the progesterone receptor statuses of the cancer patients.


CONCLUSIONS
HR-MAS MR metabolomics on intact breast tissues obtained by core needle biopsy may have a potential to be used as a complement to the current diagnostic and prognostic measures for breast cancers.
Department of Radiology, College of Medicine, Seoul National University, Jongno-gu, Seoul, Korea.
MuLan
M
Li
Yonghyun
Y
Song
Nariya
N
Cho
Jung Min
JM
Chang
Hye Ryoung
HR
Koo
Ann
A
Yi
Hyeonjin
H
Kim
Sunghyouk
S
Park
Woo Kyung
WK
Moon
D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000378:metabolism; D001707:Biopsy, Needle / Q000379:methods*; D001940:Breast / Q000166:cytology / Q000378:metabolism* / Q000473:pathology*; D001943:Breast Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D008875:Middle Aged; D019060:Minimally Invasive Surgical Procedures; D015999:Multivariate Analysis; D011379:Prognosis; D055815:Young Adult
D014408:Biomarkers, Tumor