Comparison of the methods for profiling N-glycans-hepatocellular carcinoma serum glycomics study.

ABSTRACT: Monitoring serum glycomics is one of the most important emerging approaches for diagnosis of various cancers, and the majority of previous studies were based on MALDI-MS or HPLC analysis. Considering the difference of these analytical methods employed for serum glycomics, it is necessary to compare the effectiveness of different analytical methods for monitoring the aberrant changes in serum glycomics. In this study, a strategy based on machine learning was firstly applied for comparing the analysis results of MALDI-MS and HPLC on the same serum glycomics of hepatocellular carcinoma (HCC) samples. The capability of these two analytical methods for identifying HCC is demonstrated by the classification results obtained from MALDI-MS and HPLC data. In addition, by comparing glycomics which we

SUBMITTER: Wang R 

PROVIDER: S-EPMC9082735 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature