Comparison of the methods for profiling N-glycans—hepatocellular carcinoma serum glycomics study†,RSC Advances

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Comparison of the methods for profiling N-glycans—hepatocellular carcinoma serum glycomics study†
RSC Advances ( IF 3.9 ) Pub Date : 2018-07-20 00:00:00 , DOI: 10.1039/c8ra02542h
Ran Wang ₁ , Yufei Liu ₁ , Chang Wang ₁ , Henghui Li ₁ , Xin Liu ₁ , Liming Cheng ₂ , Yanhong Zhou ₁

Affiliation

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 were significantly correlated with HCC based on MALDI-MS and HPLC, some N-glycans which may be the potential biomarkers for HCC were identified, validating the capability of these two analytical methods for the differentiated identification in the analysis of glycomics. Meanwhile, it is noteworthy that various physiological and environmental factors may cause the aberrant changes in glycosylation, and all these interference factors may be minimized by analyzing the same sample sets of HCC. Overall, these results showed that MALDI-MS and HPLC are complementary in qualitative and quantitative analysis of serum glycomics.

中文翻译：

N-聚糖分析方法的比较——肝细胞癌血清糖组学研究†

监测血清糖组学是诊断各种癌症最重要的新兴方法之一，之前的大多数研究都是基于 MALDI-MS 或 HPLC 分析。考虑到用于血清糖组学的这些分析方法的差异，有必要比较不同分析方法监测血清糖组学异常变化的有效性。在这项研究中，首次应用基于机器学习的策略来比较 MALDI-MS 和 HPLC 对肝细胞癌 (HCC) 样本的相同血清糖组学的分析结果。从 MALDI-MS 和 HPLC 数据获得的分类结果证明了这两种分析方法识别 HCC 的能力。此外，鉴定了可能是 HCC 潜在生物标志物的N-聚糖，验证了这两种分析方法在糖组学分析中区分鉴定的能力。同时值得注意的是，各种生理和环境因素可能会导致糖基化的异常变化，所有这些干扰因素都可以通过分析相同的HCC样本集来最小化。总体而言，这些结果表明 MALDI-MS 和 HPLC 在血清糖组学的定性和定量分析中是互补的。

更新日期：2018-07-20

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