Staging research of human lung cancer tissues by high-resolution magic angle spinning proton nuclear magnetic resonance spectroscopy (HRMAS1H NMR) and multivariate data analysis.
OBJECTIVE
High-resolution magic-angle spinning proton nuclear magnetic resonance (HRMAS1H NMR) spectroscopy technique was employed to analyze the metabonomic characterizations of lung cancer tissues in hope to identify potential diagnostic biomarkers for malignancy detection and staging research of lung tissues.


METHODS
HRMAS1H NMR spectroscopy technique can rapidly provide important information for accurate diagnosis and staging of cancer tissues owing to its noninvasive nature and limited requirement for the samples, and thus has been acknowledged as an excellent tool to investigate tissue metabolism and provide a more realistic insight into the metabonomics of tissues when combined with multivariate data analysis (MVDA) such as component analysis and orthogonal partial least squares-discriminant analysis in particular.


RESULTS
HRMAS1H NMR spectra displayed the metabonomic differences of 32 lung cancer tissues at the different stages from 32 patients. The significant changes (P < 0.05) of some important metabolites such as lipids, aspartate and choline-containing compounds in cancer tissues at the different stages had been identified. Furthermore, the combination of HRMAS1H NMR spectroscopy and MVDA might potentially and precisely provided for a high sensitivity, specificity, prediction accuracy in the positive identification of the staging for the cancer tissues in contrast with the pathological data in clinic.


CONCLUSIONS
This study highlighted the potential of metabonomics in clinical settings so that the techniques might be further exploited for the diagnosis and staging prediction of lung cancer in future.
Department of Chemistry, Fudan University, Shanghai, P.R. China.|Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, P.R. China.
Wenxue
W
Chen
Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Shaohua
S
Lu
Department of Respiratory Medicine, Huashan Hospital, Fudan University, Shanghai, P.R. China.
Guifang
G
Wang
Department of Chemistry, Fudan University, Shanghai, P.R. China.
Fener
F
Chen
Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China.
Chunxue
C
Bai
D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008297:Male; D055432:Metabolomics / Q000379:methods*; D008875:Middle Aged; D015999:Multivariate Analysis; D009367:Neoplasm Staging; D011522:Protons
D011522:Protons
lung cancer; metabonomics; multivariate data analysis (MVDA); nuclear magnetic resonance (NMR) spectroscopy; staging