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人类前列腺癌和良性前列腺增生:通过基因表达谱进行分子剖析。

Human prostate cancer and benign prostatic hyperplasia: molecular dissection by gene expression profiling.

作者信息

Luo J, Duggan D J, Chen Y, Sauvageot J, Ewing C M, Bittner M L, Trent J M, Isaacs W B

机构信息

Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland 21287-2101, USA.

出版信息

Cancer Res. 2001 Jun 15;61(12):4683-8.

Abstract

Critical aspects of the biology and molecular basis for prostate malignancy remain poorly understood. To reveal fundamental differences between benign and malignant growth of prostate cells, we performed gene expression profiling of primary human prostate cancer and benign prostatic hyperplasia (BPH) using cDNA microarrays consisting of 6500 human genes. Frozen prostate specimens were processed to facilitate extraction of RNA from regions of tissue enriched in either benign or malignant epithelial cell growth within a given specimen. Gene expression in each of the 16 prostate cancer and nine BPH specimens was compared with a common reference to generate normalized measures for each gene across all of the samples. Using an analysis of complete pairwise comparisons of expression profiles among all of the samples, we observed clearly discernable patterns of overall gene expression that differentiated prostate cancer from BPH. Further analysis of the data identified 210 genes with statistically significant differences in expression between prostate cancer and BPH. These genes include many not recognized previously as differentially expressed in prostate cancer and BPH, including hepsin, which codes for a transmembrane serine protease. This study reveals for the first time that significant and widespread differences in gene expression patterns exist between benign and malignant growth of the prostate gland. Gene expression analysis of prostate tissues should help to disclose the molecular mechanisms underlying prostate malignant growth and identify molecular markers for diagnostic, prognostic, and therapeutic use.

摘要

前列腺恶性肿瘤的生物学和分子基础的关键方面仍知之甚少。为了揭示前列腺细胞良性和恶性生长之间的根本差异,我们使用由6500个人类基因组成的cDNA微阵列,对原发性人类前列腺癌和良性前列腺增生(BPH)进行了基因表达谱分析。对冷冻的前列腺标本进行处理,以便从给定标本中富含良性或恶性上皮细胞生长的组织区域提取RNA。将16个前列腺癌标本和9个BPH标本中的每个基因表达与一个共同参考进行比较,以生成所有样本中每个基因的标准化测量值。通过对所有样本之间表达谱的完全成对比较分析,我们观察到了明显可辨别的总体基因表达模式,这些模式将前列腺癌与BPH区分开来。对数据的进一步分析确定了210个在前列腺癌和BPH之间表达有统计学显著差异的基因。这些基因包括许多以前未被认为在前列腺癌和BPH中差异表达的基因,包括编码跨膜丝氨酸蛋白酶的hepsin。这项研究首次揭示,前列腺腺体良性和恶性生长之间存在显著且广泛的基因表达模式差异。前列腺组织的基因表达分析应有助于揭示前列腺恶性生长的分子机制,并识别用于诊断、预后和治疗的分子标志物。

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