Department of Pathology, Seoul National University College of Medicine, Seoul, Korea.
APMIS. 2013 Oct;121(10):926-37. doi: 10.1111/apm.12119. Epub 2013 Jun 12.
We aimed to find out predictive markers for lymph node (LN) metastasis of early gastric carcinoma (EGC) by separating evaluation of protein expression in mucosa and submucosa considering tumor heterogeneity. We selected 37 pN1-3 EGCs and depth- and size-matched 31 pN0 EGCs as training set and 72 EGCs including 14 pN1-3 EGCs as test set. Protein expression for β-catenin, E-cadherin, N-cadherin, galectin-3, c-MET, TrkB, and Ki-67 was assessed by immunohistochemistry in mucosal (-m) and submucosal (-sm) portions of tumor. In the training set, Ki67-m was higher than in Ki67-sm (mean ± SD: 82.67 ± 11.99% vs 61.79 ± 22.53%, p < 0.001). Altered E-cadherin-sm, high Ki67-m, and high Ki67-sm were correlated with LN metastasis (p < 0.05) and Ki67-sm was independent with lymphatic invasion and desmoplasia (p = 0.015 by multivariate logistic analysis). The test set confirmed Ki67-sm and E-cadherin-sm as predictors of LN metastasis (p < 0.05). Submucosal EGCs with ≥2 predictive factors out of high Ki67-sm, altered E-cadherin-sm, large tumor size (≥3 cm), diffuse type histology, and present lymphatic invasion yielded 100% sensitivity and 90.9% specificity for prediction of LN metastasis in 21 submucosal EGCs of test set. The proliferative activity of tumor in submucosa is suggested to be an independent predictor for LN metastasis in EGC.
我们旨在通过考虑肿瘤异质性,将黏膜和黏膜下的蛋白表达评估分开,以找出早期胃癌(EGC)淋巴结(LN)转移的预测标志物。我们选择了 37 例 pN1-3 的 EGC 和 31 例深度和大小匹配的 pN0 的 EGC 作为训练集,以及 72 例 EGC 包括 14 例 pN1-3 的 EGC 作为测试集。通过免疫组织化学评估肿瘤黏膜(-m)和黏膜下(-sm)部分的β-catenin、E-cadherin、N-cadherin、半乳糖凝集素-3、c-MET、TrkB 和 Ki-67 的蛋白表达。在训练集中,Ki67-m 高于 Ki67-sm(平均值±标准差:82.67±11.99%比 61.79±22.53%,p<0.001)。E-cadherin-sm 改变、高 Ki67-m 和高 Ki67-sm 与 LN 转移相关(p<0.05),Ki67-sm 与淋巴管侵犯和纤维变性独立相关(多元逻辑分析 p=0.015)。测试集证实 Ki67-sm 和 E-cadherin-sm 是 LN 转移的预测因子(p<0.05)。在测试集中的 21 例黏膜下 EGC 中,当黏膜下 EGC 有 2 个以上的高 Ki67-sm、E-cadherin-sm 改变、肿瘤较大(≥3cm)、弥漫型组织学和淋巴管侵犯的预测因素时,预测 LN 转移的敏感性为 100%,特异性为 90.9%。肿瘤在黏膜下的增殖活性被认为是 EGC 中 LN 转移的独立预测因子。