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[前列腺癌中的基因表达谱分析]

[Gene expression profiling in prostatic cancer].

作者信息

Ernst T, Hergenhahn M, Kenzelmann M, Cohen C D, Ikinger U, Kretzler M, Hollstein M, Gröne H J

机构信息

Abteilung Zelluläre und Molekulare Pathologie, Deutsches Krebsforschungszentrum (DKFZ) Heidelberg.

出版信息

Verh Dtsch Ges Pathol. 2002;86:165-75.

PMID:12647366
Abstract

Basic aspects of the biology and molecular alterations in prostate carcinoma remain poorly understood. New diagnostic and prognostic markers for prostate carcinoma may add additional information to current histopathological diagnosis. In order to achieve these goals, a comprehensive gene expression analysis was performed on non-metastasizing, untreated prostate cancer tissues. RNA expression profiles of approximately 12,600 sequences from 26 human prostate tissues (17 adenocarcinomas and 9 normal adjacent to cancer tissues) were investigated using high-density oligonucleotide microarray technology (Affymetrix). We identified 63 genes which were significantly increased (at least 2.5-fold) and 153 genes which were decreased (at least 2.5-fold). Upregulated genes included several which had not yet been described, such as the genes encoding the specific granule protein (SGP28), several members of the histone family, and the alpha-methylacyl-CoA racemase, but also previously reported ones such as hepsin, LIM domain kinase 2, and carcinoma-associated antigen GA733-2. Laser capture-microdissection of epithelial and stromal compartments from cancer and histologically normal specimens followed by an amplification protocol for low amounts of RNA (< 0.1 microgram) allowed us to distinguish between gene expression profiles characteristic of epithelial cells and those typical of stroma. Most of the genes identified in bulk tumor material as upregulated were indeed overexpressed in cancerous epithelium rather than in the stromal compartment. DNA microarray data for up- and downregulated genes were confirmed by quantitative RT-PCR. We demonstrated that development of prostate cancer is associated with downregulation as well as upregulation of genes that show complex differential regulation in epithelia and stroma. Some of the alterations in gene expression identified in this study may prove useful in development of novel diagnostic and therapeutic strategies. Gene expression profiling of microdissected tumor cells in prostate biopsies may supplement histopathologic diagnosis.

摘要

前列腺癌生物学和分子改变的基本方面仍了解甚少。前列腺癌新的诊断和预后标志物可能为当前的组织病理学诊断增添更多信息。为实现这些目标,我们对未转移、未经治疗的前列腺癌组织进行了全面的基因表达分析。使用高密度寡核苷酸微阵列技术(Affymetrix)研究了来自26个人前列腺组织(17例腺癌和9例癌旁正常组织)的约12,600个序列的RNA表达谱。我们鉴定出63个显著上调(至少2.5倍)的基因和153个显著下调(至少2.5倍)的基因。上调的基因包括几个尚未被描述的基因,如编码特异性颗粒蛋白(SGP28)的基因、组蛋白家族的几个成员以及α-甲基酰基辅酶A消旋酶,也包括先前报道的基因,如肝素、LIM结构域激酶2和癌相关抗原GA733-2。通过激光捕获显微切割癌组织和组织学正常标本的上皮和基质成分,随后对少量RNA(<0.1微克)进行扩增方案,使我们能够区分上皮细胞特征性的基因表达谱和基质典型的基因表达谱。在整块肿瘤组织中鉴定为上调的大多数基因确实在癌上皮中而非基质成分中过度表达。上调和下调基因的DNA微阵列数据通过定量RT-PCR得到证实。我们证明前列腺癌的发生与上皮和基质中显示复杂差异调节的基因的下调以及上调有关。本研究中鉴定的一些基因表达改变可能在新型诊断和治疗策略的开发中证明是有用的。前列腺活检中微切割肿瘤细胞的基因表达谱分析可能补充组织病理学诊断。

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[Gene expression profiling in prostatic cancer].[前列腺癌中的基因表达谱分析]
Verh Dtsch Ges Pathol. 2002;86:165-75.
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Characterization of a method for profiling gene expression in cells recovered from intact human prostate tissue using RNA linear amplification.一种使用RNA线性扩增技术对从完整人类前列腺组织中回收的细胞进行基因表达谱分析方法的特性研究。
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Decrease and gain of gene expression are equally discriminatory markers for prostate carcinoma: a gene expression analysis on total and microdissected prostate tissue.基因表达的降低和增加同样是前列腺癌的鉴别标志物:对全组织及显微切割前列腺组织的基因表达分析
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Prostate-specific antigen mRNA and protein levels in laser microdissected cells of human prostate measured by real-time reverse transcriptase-quantitative polymerase chain reaction and immuno-quantitative polymerase chain reaction.通过实时逆转录定量聚合酶链反应和免疫定量聚合酶链反应测定人前列腺激光显微切割细胞中的前列腺特异性抗原mRNA和蛋白质水平。
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Quantitative RT-PCR analysis of estrogen receptor gene expression in laser microdissected prostate cancer tissue.激光显微切割前列腺癌组织中雌激素受体基因表达的定量逆转录聚合酶链反应分析
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Minimum altered regions in early prostate cancer progression identified by high resolution whole genome tiling path BAC array comparative hybridization.通过高分辨率全基因组平铺路径BAC阵列比较杂交鉴定早期前列腺癌进展中的最小改变区域。
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Comparative gene and protein expression in primary cultures of epithelial cells from benign prostatic hyperplasia and prostate cancer.良性前列腺增生和前列腺癌上皮细胞原代培养物中的基因和蛋白质表达比较
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Gene promoter methylation in prostate tumor-associated stromal cells.前列腺肿瘤相关基质细胞中的基因启动子甲基化
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Whole-genome methylation sequencing reveals distinct impact of differential methylations on gene transcription in prostate cancer.全基因组甲基化测序揭示了前列腺癌中差异甲基化对基因转录的不同影响。
Am J Pathol. 2013 Dec;183(6):1960-1970. doi: 10.1016/j.ajpath.2013.08.018. Epub 2013 Oct 8.
2
Genome-wide methylation analysis of prostate tissues reveals global methylation patterns of prostate cancer.全基因组甲基化分析揭示了前列腺癌的全局甲基化模式。
Am J Pathol. 2013 Jun;182(6):2028-36. doi: 10.1016/j.ajpath.2013.02.040. Epub 2013 Apr 10.
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Proteomic profiling of human keratinocytes undergoing UVB-induced alternative differentiation reveals TRIpartite Motif Protein 29 as a survival factor.
UVB 诱导的人角质形成细胞发生替代性分化的蛋白质组学分析揭示三结构域蛋白 29 是一种存活因子。
PLoS One. 2010 May 3;5(5):e10462. doi: 10.1371/journal.pone.0010462.
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Classification between normal and tumor tissues based on the pair-wise gene expression ratio.基于成对基因表达比率对正常组织和肿瘤组织进行分类。
BMC Cancer. 2004 Oct 7;4:72. doi: 10.1186/1471-2407-4-72.