目的 探讨PTEN、HIF-1α和NDRG1蛋白的异常表达在子宫内膜样腺癌发生、侵袭和转移中的作用及意义。方法 采用免疫组织化学方法，结合组织芯片技术，检测124例Ⅰ型子宫内膜癌、28例内膜不典型增生、35例正常内膜组织中PTEN、HIF-1α和NDRG1的表达水平，结合临床病理因素进行分析。结果 PTEN、HIF-1α和NDRG1在子宫内膜样腺癌中的阳性表达率分别为29.8%、61.3%、52.4%，与正常内膜组和不典型增生组比较，差异有统计学意义(P<0.01)。PTEN表达下调和NDRG1过度表达与肿瘤分化程度明显相关(P<0.05)，HIF-1α蛋白表达与肿瘤分化、肌层浸润和淋巴结转移明显相关(P<0.05)。子宫内膜样腺癌组织中PTEN和HIF-1α和NDRG1的表达存在负相关关系(r=-0.314, P<0.01, r=-0.296, P=0.001)，而HIF-1α蛋白与NDRG1的表达正相关(r=0.237, P=0.008)。结论 PTEN缺失可能上调HIF-1α和NDRG1蛋白的表达，在子宫内膜样腺癌发生、侵袭和转移中起重要作用，联合检测对于判断子宫内膜癌的恶性程度和预后有重要意义。

Objective To investigate the role of aberrant expression of PTEN, HIF-1α and NDRG1 protein in the pathogenesis and progression of endometrioid carcinoma. Methods Tissue microarray and immunohistochemical staining were employed to detect the expression of PTEN, HIF-1α and NDRG1 in tissues of type I endometrial carcinoma (n=124) and atypical hyperplasia (n=28) and normal endometrial tissues (n=35). The relationship among the markers, as well as their correlations with clinicopathological features were evaluated. Results The expression of PTEN, HIF-1α and NDRG1 in tissues of endometrioid carcinoma was 29.8%, 61.3% and 52.4%, respectively, and was significantly different from that in tissues of atypical hyperplasia and normal endometrial tissues (P<0.01). The downregulation of expression of PTEN and overexpression of NDRG1 were significantly related to the tumor differentiation (P<0.05), and the expression of HIF-1α protein was significantly related to the tumor differentiation, myometrial invasion and lymph node metastasis (P<0.05). The expression of PTEN was negatively related to that of HIF-1α and NDRG1 in tissues of endometrioid carcinoma (r=-0.314, P<0.01, r=-0.296, P=0.001), and the expression of HIF-1α protein was positively related to that of NDRG1 (r=0.237, P=0.008). Conclusion The absence of PTEN may upregulate the expression of HIF-1α and NDRG1 protein, which may be involved in the pathogenesis and progression of endometrioid carcinoma, and the combined detection of these markers is of great value in the prediction of tumor behavior and prognosis.