Purpose: This work aims to identify differential metabolites and predicting molecular subtypes of breast cancer (BC).Methods: Plasma samples were collected from 96 BC patients and 79 normal participants. Metabolic profiles were determined by liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry based on multivariate statistical data analysis.Results Conclusion: Human plasma metabolomics is useful in identifying differential metabolites and predicting breast cancer subtypes.

Perfusion CT is a feasible technique to assess tissue perfusion in patients with RCC. BV, BF, and PS correlate positively with MVD and may reflect angiogenesis of RCC.

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