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前列腺癌的基因组学:有什么需要“翻译”的吗?

Genomics of prostate cancer: is there anything to "translate"?

作者信息

Kopper László, Tímár József

机构信息

1st Institute of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, H-1085, Hungary.

出版信息

Pathol Oncol Res. 2005;11(4):197-203. doi: 10.1007/BF02893851. Epub 2005 Dec 31.

Abstract

This review provides an up-dated collection of data concerning the genetic and epigenetic changes during development, growth and progression of prostate cancer. Hereditary and susceptibility factors have a long list, similarly to the expression of single genes connected to various cell functions. It was a hope that covering a large set of genes, array technologies would clarify very rapidly the role of genetics in malignant diseases, offering targets for molecular diagnostics and therapy. The power of high-throughput techniques for the detection and global analysis of gene expression is unquestionable, interesting, astonishing as well as puzzling data have already been obtained. However, the standardization of the procedures is still missing and the reproducibility is rather low in many instances. Moreover, the different array methods can select different gene expression profiles, which makes the decision rather difficult. Another important question is, coming again from the array technologies, how far the genotype (the gene profiles or fingerprints) can reflect the actual phenotype in a highly complex and readily changing disease as cancer. Proteomics will provide a closer look to this seemingly unanswerable problem. We are at the beginning of the exploration of the behavior of cancer cells in order to apply a more effective therapy based on a more reliable set of diagnostic and prognostic informations.

摘要

本综述提供了有关前列腺癌发生、发展和进展过程中基因和表观遗传变化的最新数据汇总。与连接各种细胞功能的单基因表达情况类似,遗传和易感性因素众多。人们曾希望,通过涵盖大量基因的芯片技术,能够迅速阐明遗传学在恶性疾病中的作用,为分子诊断和治疗提供靶点。高通量技术用于检测和全面分析基因表达的能力毋庸置疑,现已获得了有趣、惊人且令人困惑的数据。然而,程序的标准化仍然缺失,在许多情况下可重复性相当低。此外,不同的芯片方法会选择不同的基因表达谱,这使得决策变得相当困难。另一个重要问题同样源于芯片技术,即在像癌症这样高度复杂且易变的疾病中,基因型(基因谱或指纹)能在多大程度上反映实际表型。蛋白质组学将更深入地研究这个看似无法回答的问题。我们正处于探索癌细胞行为的开端,以便基于一套更可靠的诊断和预后信息应用更有效的治疗方法。

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