CAJ | 학술논문

目的使用cDNA微阵列筛选浸润性宫颈鳞癌的淋巴结转移相关基因.方法应用包含18 432个基因的cDNA微阵列测定IB期宫颈鳞癌的全基因序列,包括已知功能的人类转录子和表达序列标签ESTs,分为正常组、淋巴转移组、无淋巴转移三组宫颈组织.为了证实不同的基因表达,选择3个基因进行了冰冻组织的RT-PCR检测和石蜡组织的免疫组化检测.结果经统计学分析,与无淋巴转移浸润性宫颈鳞癌组织比较,有淋巴转移的癌组织有677个基因大于2倍差异,其中上调494个(72.97%),下调183个(27.03%),表达序列标签EST为61个(9.01%),这些基因涉及代谢、发育、信号传导、分化、DNA结合转录和离子通道等.6倍差异基因14个,其中只有nel(chicken)like-2下调,其余为上调基因.RT-PCR和免疫组化的结果与cDNA微阵列结果一致.结论利用cDNA微阵列检测基因的表达状态可以预测宫颈鳞癌淋巴结转移和宫颈癌的预后情况.Cx43的低表达、ETV5和整合素alpha 2的高表达可能会成为评估浸润性宫颈鳞癌恶性程度的重要指标.这些分子有利于预测浸润性宫颈鳞癌的预后及其相应的分子治疗.
목적 사용cDNA미진렬사선침윤성궁경린암적림파결전이상관기인.방법 응용포함18 432개기인적cDNA미진렬측정IB기궁경린암적전기인서렬,포괄이지공능적인류전록자화표체서렬표첨ESTs,분위정상조、림파전이조、무림파전이삼조궁경조직.위료증실불동적기인표체,선택3개기인진행료빙동조직적RT-PCR검측화석사조직적면역조화검측.결과 경통계학분석,여무림파전이침윤성궁경린암조직비교,유림파전이적암조직유677개기인대우2배차이,기중상조494개(72.97%),하조183개(27.03%),표체서렬표첨EST위61개(9.01%),저사기인섭급대사、발육、신호전도、분화、DNA결합전록화리자통도등.6배차이기인14개,기중지유nel(chicken)like-2하조,기여위상조기인.RT-PCR화면역조화적결과여cDNA미진렬결과일치.결론 이용cDNA미진렬검측기인적표체상태가이예측궁경린암림파결전이화궁경암적예후정황.Cx43적저표체、ETV5화정합소alpha 2적고표체가능회성위평고침윤성궁경린암악성정도적중요지표.저사분자유리우예측침윤성궁경린암적예후급기상응적분자치료.
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.