Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes

被引:62
作者
Ashkani, Jahanshah [1 ,2 ]
Naidoo, Kevin J. [1 ,2 ]
机构
[1] Univ Cape Town, Sci Comp Res Unit, Fac Sci, ZA-7701 Rondebosch, South Africa
[2] Univ Cape Town, Dept Chem, Fac Sci, ZA-7701 Rondebosch, South Africa
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
新加坡国家研究基金会;
关键词
BREAST-CANCER; MOLECULAR PORTRAITS; CLASS DISCOVERY; N-GLYCAN; GLYCOSYLATION; METASTASIS; MECHANISMS; PACKAGE;
D O I
10.1038/srep26451
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aberrant glycosylation in tumours stem from altered glycosyltransferase (GT) gene expression but can the expression profiles of these signature genes be used to classify cancer types and lead to cancer subtype discovery? The differential structural changes to cellular glycan structures are predominantly regulated by the expression patterns of GT genes and are a hallmark of neoplastic cell metamorphoses. We found that the expression of 210 GT genes taken from 1893 cancer patient samples in The Cancer Genome Atlas (TCGA) microarray data are able to classify six cancers; breast, ovarian, glioblastoma, kidney, colon and lung. The GT gene expression profiles are used to develop cancer classifiers and propose subtypes. The subclassification of breast cancer solid tumour samples illustrates the discovery of subgroups from GT genes that match well against basal-like and HER2-enriched subtypes and correlates to clinical, mutation and survival data. This cancer type glycosyltransferase gene signature finding provides foundational evidence for the centrality of glycosylation in cancer.
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页数:8
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