N-Glycosylation Patterns Correlate with Hepatocellular Carcinoma Genetic Subtypes.
N-Glycosylation Patterns Correlate with Hepatocellular Carcinoma Genetic Subtypes.
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DOI:
10.1158/1541-7786.mcr-21-0348
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发表时间:
2021-11
期刊:
影响因子:
--
通讯作者:
Mehta AS
中科院分区:
文献类型:
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作者:
DelaCourt A;Black A;Angel P;Drake R;Hoshida Y;Singal A;Lewin D;Taouli B;Lewis S;Schwarz M;Fiel MI;Mehta AS
Hepatocellular carcinoma (HCC) is the second leading cause of cancer deaths globally, and the incidence rate in the US is increasing. Studies have identified inter- and intra-tumor heterogeneity as histological and/or molecular subtypes/variants associated with response to certain molecular targeted therapies. Spatial HCC tissue profiling of N-linked glycosylation by matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) may serve as a new method to evaluate the tumor heterogeneity. Previous work has identified significant changes in the N-linked glycosylation of HCC tumors but has not accounted for the heterogeneous genetic and molecular nature of HCC. To determine the correlation between HCC-specific N-glycosylation changes and genetic/molecular tumor features, we profiled HCC tissue samples with MALDI-IMS and correlated the spatial N-glycosylation with a widely used HCC molecular classification (Hoshida subtypes). MALDI-IMS data displayed trends that could approximately distinguish between subtypes, with subtype 1 demonstrating significantly dysregulated N-glycosylation versus adjacent non-tumor tissue. While there were no individual N-glycan structures that could identify specific subtypes, trends emerged regarding the correlation of branched glycan expression to HCC as a whole and fucosylated glycan expression to subtype 1 tumors specifically. Correlating N-glycosylation to specific subtypes offers the specific detection of subtypes of HCC, which could both enhance early HCC sensitivity and guide targeted clinical therapies.