中华病理学杂志
中華病理學雜誌
중화병이학잡지
Chinese Journal of Pathology
2010年
7期
436-441
,共6页
郭磊%郭晓波%蒋金玲%张佳年%计骏%刘炳亚%朱正纲%于颖彦
郭磊%郭曉波%蔣金玲%張佳年%計駿%劉炳亞%硃正綱%于穎彥
곽뢰%곽효파%장금령%장가년%계준%류병아%주정강%우영언
胃肿瘤%寡核苷酸序列分析%数据收集%预后%Matrix gla protein
胃腫瘤%寡覈苷痠序列分析%數據收集%預後%Matrix gla protein
위종류%과핵감산서렬분석%수거수집%예후%Matrix gla protein
Stomach neoplasms%Oligonucleotide array sequence analysis%Data collection%Prognosis%Matrix gla protein
目的 通过对基因芯片数据库中一组大样本胃癌表达谱芯片的数据挖掘分析,筛选并验证与临床病理分期及预后密切相关的基因.方法 检索基因表达谱芯片数据库,对其中符合分析要求(大样本、病理分型、临床病理分期以及随访资料齐全)的胃癌表达谱芯片数据进行再挖掘分析.利用基因芯片显著性差异基因分析(SAM)方法筛选出不同临床病理分期的差异基因,并通过逆转录聚合酶链反应(RT-PCR)、即时荧光定量PCR、Western blot方法验证胃癌细胞株及54例胃癌组织MGP表达,利用免疫组织化学EnVision法观察MGP在胃癌中的定位特点.结果 通过对GEO开放数据库内GES4007数据的挖掘分析,发现14个基因表达与胃癌临床病理分期显著相关,其中MGP基因表达升高与临床病理分期呈正相关,对预后有明显影响.定量PCR和Western blot方法证实MGP在胃癌细胞系中存在不同程度表达,免疫组织化学染色显示MGP定位于肿瘤细胞胞质内.RT-PCR分析54例胃癌组织和对应癌旁组织内mRNA,结果显示22例癌组织MGP的mRNA表达明显高于癌旁组织(40.7%).MGP的高表达与胃癌临床病理分期(P=0.001)和预后呈明显相关(P=0.006).结论 公共数据库存储的芯片数据具有再分析价值.MGP基因是与胃癌临床病理分期和预后相关的新型分子标志物.
目的 通過對基因芯片數據庫中一組大樣本胃癌錶達譜芯片的數據挖掘分析,篩選併驗證與臨床病理分期及預後密切相關的基因.方法 檢索基因錶達譜芯片數據庫,對其中符閤分析要求(大樣本、病理分型、臨床病理分期以及隨訪資料齊全)的胃癌錶達譜芯片數據進行再挖掘分析.利用基因芯片顯著性差異基因分析(SAM)方法篩選齣不同臨床病理分期的差異基因,併通過逆轉錄聚閤酶鏈反應(RT-PCR)、即時熒光定量PCR、Western blot方法驗證胃癌細胞株及54例胃癌組織MGP錶達,利用免疫組織化學EnVision法觀察MGP在胃癌中的定位特點.結果 通過對GEO開放數據庫內GES4007數據的挖掘分析,髮現14箇基因錶達與胃癌臨床病理分期顯著相關,其中MGP基因錶達升高與臨床病理分期呈正相關,對預後有明顯影響.定量PCR和Western blot方法證實MGP在胃癌細胞繫中存在不同程度錶達,免疫組織化學染色顯示MGP定位于腫瘤細胞胞質內.RT-PCR分析54例胃癌組織和對應癌徬組織內mRNA,結果顯示22例癌組織MGP的mRNA錶達明顯高于癌徬組織(40.7%).MGP的高錶達與胃癌臨床病理分期(P=0.001)和預後呈明顯相關(P=0.006).結論 公共數據庫存儲的芯片數據具有再分析價值.MGP基因是與胃癌臨床病理分期和預後相關的新型分子標誌物.
목적 통과대기인심편수거고중일조대양본위암표체보심편적수거알굴분석,사선병험증여림상병리분기급예후밀절상관적기인.방법 검색기인표체보심편수거고,대기중부합분석요구(대양본、병리분형、림상병리분기이급수방자료제전)적위암표체보심편수거진행재알굴분석.이용기인심편현저성차이기인분석(SAM)방법사선출불동림상병리분기적차이기인,병통과역전록취합매련반응(RT-PCR)、즉시형광정량PCR、Western blot방법험증위암세포주급54례위암조직MGP표체,이용면역조직화학EnVision법관찰MGP재위암중적정위특점.결과 통과대GEO개방수거고내GES4007수거적알굴분석,발현14개기인표체여위암림상병리분기현저상관,기중MGP기인표체승고여림상병리분기정정상관,대예후유명현영향.정량PCR화Western blot방법증실MGP재위암세포계중존재불동정도표체,면역조직화학염색현시MGP정위우종류세포포질내.RT-PCR분석54례위암조직화대응암방조직내mRNA,결과현시22례암조직MGP적mRNA표체명현고우암방조직(40.7%).MGP적고표체여위암림상병리분기(P=0.001)화예후정명현상관(P=0.006).결론 공공수거고존저적심편수거구유재분석개치.MGP기인시여위암림상병리분기화예후상관적신형분자표지물.
Objective To analyze microarray datasets deposited in the public database and to identify TNM associated genes in gastric cancers. Methods Microarray datasets of gastric cancer were selected from GEO database. Differentially expressed genes related to TNM staging were evaluated by significant analysis of the microarray using MultiExperiment Viewer (MEV)platform. Candidate gene expressions in gastric cancer tissues and cell lines were verified by reverse transcriptase polymerase chain reaction (RT-PCR),quantitative RT-PCR,Western blot and immunohistochemistry. Results GES4007 dataset was re-analyzed leading to the identification of 14 genes associated with TNM staging. Overexpression of matrix gla protein (MGP)was confirmed in gastric cancer cell lines and tumor tissues by quantitative RT-PCR,Western blot and immunohistochemistry. Increased MGP expression was found in 22 of 54 cases of (40.7% )gastric cancer specimens compared to the normal gastric tissues. The up-regulation of MGP mRNA expression closely correlated with TNM stage (P = 0. 001)and prognosis (P = 0. 006). Conclusions Public databases of microarray studies are the valuable resources for data mining. MGP has been identified and confirmed as a novel biomarker for the TNM stage and prognosis of gastric cancer.
