Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes.
Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes.
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DOI：
10.1038/srep26451
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发表时间：
2016-05-20
影响因子：
4.6
通讯作者：
Naidoo KJ
中科院分区：
文献类型：
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作者：
Ashkani J;Naidoo KJ
肿瘤中的异常糖基化源于糖基转移酶 (GT) 基因表达的改变，但这些特征基因的表达谱能否用于对癌症类型进行分类并导致癌症亚型发现？细胞聚糖结构的差异性结构变化主要受 GT 基因表达模式的调节，是肿瘤细胞变态的标志。我们发现，从癌症基因组图谱（TCGA）微阵列数据中的 1893 名癌症患者样本中提取的 210 个 GT 基因的表达能够对六种癌症进行分类；乳腺癌、卵巢癌、胶质母细胞瘤、肾、结肠癌和肺。 GT 基因表达谱用于开发癌症分类器并提出亚型。乳腺癌实体瘤样本的亚分类说明了 GT 基因亚组的发现，这些亚组与基底样亚型和 HER2 富集亚型非常匹配，并与临床、突变和生存数据相关。这种癌症类型糖基转移酶基因特征的发现为糖基化在癌症中的中心地位提供了基础证据。
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.