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利用高密度寡核苷酸微阵列分析喉癌中的基因表达谱

Gene expression profile analysis in laryngeal cancer by high-density oligonucleotide microarrays.

作者信息

Markowski J, Oczko-Wojciechowska M, Gierek T, Jarzab M, Paluch J, Kowalska M, Wygoda Z, Pfeifer A, Tyszkiewicz T, Jarzab B, Niedzielska I, Borgiel-Marek H

机构信息

ENT Department, Silesian Medical University, Katowice, Poland.

出版信息

J Physiol Pharmacol. 2009 May;60 Suppl 1:57-63.

Abstract

The assessment of gene expression profile in laryngeal cancer shall allow to implement molecular biology methods in diagnostics, as well as in prognosis of the course of disease. Thus, it may influence the choice of the most optimal decisions in regards to the method of treatment, extent of surgical procedure, or the necessity of adding post-operative radiotherapy. The aim of the project was to analyse the gene expression profile of laryngeal cancer using oligonucleotide microarrays, aiming to derive novel molecular markers for that carcinoma. The study comprised a group of 14 patients (12 males and 2 females) with squamous cell laryngeal carcinoma, diagnosed and surgically treated between 2005 - 2007 in the ENT Department of the Silesian Medical University in Katowice, Poland. RNA was isolated from frozen tissue fragments. To assess gene expression profile, high density oligonucleotide microarrays (Affymetrix U 133 Plus 2.0) were applied, with over 54 thousand probesets for over 47 thousand transcripts. Four genes, previously not assesed in diagnostic context in laryngeal carcinoma, seemed to be valuable markers of that neoplasm. These are: metalloproteinase ADAM12, cycline-dependent kinase 2 - CDK2, kinesine 14 - KIF14, suppressor 1 of checkpoint - CHES1.

摘要

对喉癌基因表达谱的评估应有助于在诊断以及疾病进程的预后中应用分子生物学方法。因此,它可能会影响在治疗方法、手术范围或添加术后放疗必要性方面做出最优化决策。该项目的目的是使用寡核苷酸微阵列分析喉癌的基因表达谱,旨在为该癌症找到新的分子标志物。该研究纳入了一组14例患者(12例男性和2例女性),均为鳞状细胞喉癌,于2005年至2007年期间在波兰卡托维兹西里西亚医科大学耳鼻喉科被诊断并接受手术治疗。从冷冻组织切片中分离出RNA。为评估基因表达谱,应用了高密度寡核苷酸微阵列(Affymetrix U 133 Plus 2.0),其具有针对超过4.7万个转录本的超过5.4万个探针集。有四个基因,此前未在喉癌诊断背景下进行评估,似乎是该肿瘤的有价值标志物。它们分别是:金属蛋白酶ADAM12、细胞周期蛋白依赖性激酶2 - CDK2、驱动蛋白14 - KIF14、检查点抑制因子1 - CHES1。

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