Yang Sanghwa, Chung Hyun Cheol
Cancer Metastasis Research Center (CMRC), Yonsei University College of Medicine, Seoul 120-752, Korea.
Oncol Rep. 2008 Mar;19(3):675-80.
Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohistostaining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.
胃癌仍然是对人类健康的一大威胁。对这种疾病不同阶段的分子描述对于更好地诊断和开发治疗靶点将具有重要价值。此前，有人提出了一种能区分肿瘤性与非肿瘤性胃组织的92基因分类器。为了证实这一发现，将独立的基因选择方法和分类预测算法应用于在17K cDNA微阵列上分析的86个组织的数据集。结果，选择出了22个基因，其中18个与之前显示的92个基因相同。通过对胃组织微阵列进行免疫组织化学染色，进一步验证了嗜铬粒蛋白A（CHGA）和Thy-1细胞表面抗原（THY1）的差异表达模式。在其他癌症模型中，一些所提出基因的差异表达模式已被证明对肿瘤进展至关重要，并且很可能也会作为胃癌的新型生物标志物发挥作用。
