Tissue Metabonomic Phenotyping for Diagnosis and Prognosis of Human Colorectal Cancer

Scientific Reports
Yuan TianHuiru Tang

Abstract

Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide and prognosis based on the conventional histological grading method for CRC remains poor. To better the situation, we analyzed the metabonomic signatures of 50 human CRC tissues and their adjacent non-involved tissues (ANIT) using high-resolution magic-angle spinning (HRMAS) (1)H NMR spectroscopy together with the fatty acid compositions of these tissues using GC-FID/MS. We showed that tissue metabolic phenotypes not only discriminated CRC tissues from ANIT, but also distinguished low-grade tumor tissues (stages I-II) from the high-grade ones (stages III-IV) with high sensitivity and specificity in both cases. Metabonomic phenotypes of CRC tissues differed significantly from that of ANIT in energy metabolism, membrane biosynthesis and degradations, osmotic regulations together with the metabolism of proteins and nucleotides. Amongst all CRC tissues, the stage I tumors exhibited largest differentiations from ANIT. The combination of the differentiating metabolites showed outstanding collective power for differentiating cancer from ANIT and for distinguishing CRC tissues at different stages. These findings revealed details in the typical metabo...Continue Reading

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Citations

Jul 31, 2019·International Journal of Cancer. Journal International Du Cancer·Jun HanTian Yang
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Jul 23, 2021·Special Care in Dentistry : Official Publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry·Angela RoveraPaul Anderson

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Methods Mentioned

BETA
nuclear magnetic resonance
NMR

Software Mentioned

SPSS
DA
Topspin
P +
AMIX
SIMCA
OPLS

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