山西医科大学学报2006，Vol.37Issue(7)：695-702,8.
利用cDNA微阵列进行宫颈鳞癌的分子筛查
Molecular classification of cervical squamous cell carcinoma using cDNA microarrays
摘要
Abstract
Objective To identify the new lymph node metastasis-associated molecular marker of invasive cervical carcinoma(ICC)by cDNA microarrays. Methods High-throughput cDNA microarrays containing 18 432 clones that correspond to either human transcripts with known function or anonymous expressed sequence tags(ESTs) were used to measure global patterns of gene expression in ICC of FIGO stage Ib compared with normal cervical tissue. The differentially expressed genes in cervical squamous with lymph node metastasis were investigated. To verify the differential genes in patient samples, several genes were selected to analyse by reverse transcription-PCR in frozen tumor tissue and by immuncstaining in paraffin-embedded tissue section. Results In sample carcinoma tissue with lymph node metastases, all 677 genes were identified with differential expression, 494 of which showed increased expression(72.97% ), 183 decreased expression (27.03%), and ESTs were 61(9.01% ), including genes of metabolism,development, signal transduction and differentiation. Thereinto, 14 6-fold differential genes were up-regulated except that nel (chicken)-like 2 was down-regulated. The results of RT-PCR and immunohistochemistry were in agreement with the microarray data.Conclusion The results demonstrate that gene expression profiling can be used as a predictor of lymph node metastasis and prognosis of cervical carcinoma. The prediction of cervical malignancy based on the lack of Cx43 and superabundance of ETV5 and integrin alpha 2 might serve as specific diagnostic biomarkers for ICC. These expression may be suitable for molecular classification of disease stages and prediction of treatment response in cervical carcinoma.关键词
宫颈鳞癌/Cdna微阵列/肿瘤标记,生物学/转移Key words
cervix neoplasms/cDNA microarrays/tumor markers,biological/metastasis分类
医药卫生引用本文复制引用
吴素慧,解军,李颖,张静,郭素堂,何显峰,牛勃,王泽华..利用cDNA微阵列进行宫颈鳞癌的分子筛查[J].山西医科大学学报,2006,37(7):695-702,8.基金项目
山西省自然科学基金资助项目(2006011121) （2006011121）
