Kristiansen Glen, Pilarsky Christian, Wissmann Christoph, Kaiser Simone, Bruemmendorf Thomas, Roepcke Stefan, Dahl Edgar, Hinzmann Bernd, Specht Thomas, Pervan Janja, Stephan Carsten, Loening Stefan, Dietel Manfred, Rosenthal André
Institute of Pathology, Charité University Hospital, Berlin, Germany.
J Pathol. 2005 Feb;205(3):359-76. doi: 10.1002/path.1676.
In order to screen for differentially expressed genes that might be useful in diagnosis or therapy of prostate cancer we have used a custom made Affymetrix GeneChip containing 3950 cDNA fragments. Expression profiles were obtained from 42 matched pairs of mRNAs isolated from microdissected malignant and benign prostate tissues. Applying three different bioinformatic approaches to define differential gene expression, we found 277 differentially expressed genes, of which 98 were identified by all three methods. Fourteen per cent of these genes were not found in other expression studies, which were based on bulk tissue. Resultant candidate genes were further validated by quantitative RT-PCR, mRNA in situ hybridization and immunohistochemistry. AGR2 was over-expressed in 89% of prostate carcinomas, but did not have prognostic significance. Immunohistologically detected over-expression of MEMD and CD24 was identified in 86% and 38.5% of prostate carcinomas respectively, and both were predictive of PSA relapse. Combined marker analysis using MEMD and CD24 expression proved to be an independent prognostic factor (RR = 4.7, p = 0.006) in a Cox regression model, and was also superior to conventional markers. This combination of molecular markers thus appears to allow improved prediction of patient prognosis, but should be validated in larger studies.
为了筛选出可能对前列腺癌诊断或治疗有用的差异表达基因,我们使用了一种定制的包含3950个cDNA片段的Affymetrix基因芯片。从显微切割的恶性和良性前列腺组织中分离出的42对匹配的mRNA中获得了表达谱。应用三种不同的生物信息学方法来定义差异基因表达,我们发现了277个差异表达基因,其中98个被所有三种方法鉴定出来。这些基因中有14%在基于大块组织的其他表达研究中未被发现。通过定量RT-PCR、mRNA原位杂交和免疫组织化学对所得的候选基因进行了进一步验证。AGR2在89%的前列腺癌中过度表达,但没有预后意义。免疫组织化学检测发现MEMD和CD24在前列腺癌中的过度表达分别为86%和38.5%,两者均为PSA复发的预测指标。在Cox回归模型中,使用MEMD和CD24表达进行联合标志物分析被证明是一个独立的预后因素(RR = 4.7,p = 0.006),并且也优于传统标志物。因此,这种分子标志物的组合似乎能够改善对患者预后的预测,但应在更大规模的研究中进行验证。