C-myc和hMLH1蛋白在新疆维吾尔族妇女宫颈癌中的表达及临床意义

目的检测新疆维吾尔族妇女宫颈上皮内瘤变(cervical intraepithelial neoplasia,CIN)和宫颈癌中C-myc和hMLH1蛋白表达,并探讨其临床意义。方法应用免疫组化SP法检测C-myc与hMLH1在慢性宫颈炎、宫颈上皮内瘤变(cervical intraepithelial neoplasia,CIN)和宫颈癌组织中的表达水平,并探讨宫颈癌组织中C-myc和hMLH1蛋白表达与各临床病理特征的关系。结果 C-myc在慢性宫颈炎、CIN、宫颈癌中的阳性表达率分别为26.7%(8/30)、50.0%(30/60)和69.2%(36/52),差异有统计学意义(P<0.05)。hMLH1在慢性宫颈炎、CIN和宫颈癌组织中的阳性表达率依次为66.7%(20/30)、56.7%(34/60)和30.7%(16/52)差异有统计学意义(P<0.05)。在宫颈癌组织中,C-myc蛋白与肿瘤分化程度、临床分期以及有无淋巴结转移相关;hMLH1蛋白表达下调与宫颈癌分化程度及是否有淋巴结转移密切相关,表达差异均有统计学意义(P<0.05)。结论 C-myc和hM-LH1蛋白与宫颈癌的发生、发展可能相关,二者联合检测可能为宫颈癌的早期诊断和治疗提供新的方向。

Expression and clinical significance of C-myc and hMLH1 protein in Uighur women cervical carcinoma

Objective To investigate the expression of C-myc and hMLH1 in Uighur women cervical carcinoma and clinical significance.Methods Immunohistochemical SP staining was performed to detect the expression of C-myc protein and hMLH1 in paraffinembedded cervical tissue specmiens from Uighur women with chronic cervicitis,cervical intraepithelial neoplasia(CIN) and cervical squamous cellcarc inoma(CSCC).And to explore the C-myc and hMLH1 protein expression and clinicopathological features of cervical carcinoma.Results The positive expression rates of C-myc inchronic cervicitis,cervical inraepithelial neoplasia(CIN) and cervical carcinoma were 26.7%(8/30),50.0%(30/60) and 69.2%(36/52),respectively(P<0.05).The expression rates of hMLH1 were 66.7%(20/30),56.7%(34/60) and 30.7%(16/52),respectively(P<0.05).Statistically significant different were among the three groups for both C-myc and hMLH1.The positive expression rate of C-myc elevated with federation international of gynecology and obstetrics(FIGO) stage,histological grade and the lymph node metastasis;Down-regulation of hMLH1 were significantly correlated with histological grade and the lymph node metastasis(P<0.05).Conclusion The expression C-myc and hMLH1 may be related to the occurrence and development of cervical carcinoma and it may have certain affection early diagnosis and treatment of cervical carcinoma with detecting them together.