【摘要】 目的:研究卵巢癌、良性卵巢肿瘤患者外周血NK细胞表面活化性受体NKG2D的表达及局部组织中相应配体MICA的表达情况,并结合临床病理因素分析探讨宿主NK细胞受体NKG2D在抗卵巢癌中的作用及其与肿瘤免疫逃逸的关系。方法:对4 2例卵巢癌、2 3例良性卵巢肿瘤及2 0例正常妇女,采用流式细胞术检测外周血NK细胞NKG2D的表达状况,RT PCR技术检测在上述部分相应组织标本中MICA的表达。结果:恶性、良性卵巢肿瘤患者及正常人外周血NK细胞NKG2D的表达水平分别为( 94 2 3±6 0 2 ) %、( 98 70±0 98) %、( 98 6 1±1 5 9) % ,恶性组与另两组之间比较,差异有统计学意义(P <0 0 5 ) ;相应配体MICA在卵巢癌组织中的表达率较良性卵巢肿瘤中明显增高,差异有统计学意义(P <0 0 1) ;在卵巢癌病人是否绝经、不同组织类型、分化程度、手术分期及是否淋巴转移等各组临床病理情况下,其表达率未见明显差异(P >0 0 5 )。结论:卵巢恶性肿瘤患者外周血NK细胞活性降低,其活化性受体NKG2D表达的下降是NK细胞活性下降的原因之一。NKG2D的配体MICA的基因表达可能与卵巢癌的恶性转化有一定的相关性,卵巢癌的免疫逃逸可能与NKG2D表达下调及其配体MI CA的表达升高有关更多还原

【Abstract】 Objective:To investigate the expression of NKG2D in peripheral blood of patients with ovarian benign or malignant tumors, and the expression of the human MHC class Ⅰ chain-related gene A(MICA) on the correspondent tumor tissues. To analyze and discuss the function of NKG2D in anti-ovarian cancer mechanism and its relation with immune escaping of cancer.Methods:Flow cytometry analysis was used to detect NKG2D in the peripheral blood of 42 ovarian carcinoma patients, 23 ovarian tumor patients and 20 health persons. The expressions of MICA in part of the correspondent tissues were examined by means of reverse transcription-polymerase chain reaction (RT-PCR).Results:The expression of NKG2D were (94 23±6 02)%?(98 70±0 98)%?(98 61±1 59)% respectively, compared with the other two groups, the NKG2D expression in malignant group was significantly low; The rate of MICA mRNA expression in ovarian carcinomas was significantly higher than that in benign and normal tissues. No evident relation was found between the expression of MICA mRNA and the clinical factors.Conclusion:The activity of NK cell and the anti-cancer cellular immunity level reduce in patients with ovarian cancer; The decrease of the receptor NKG2D is a reason for the descend of the activity of NK cells; MICA mRNA expression is relative to malignant transformation; the immune-escape of ovarian cancer probably is relative to the down-regulation of NKG2D and the up-regulation of its ligand MICA.更多还原