Suppr超能文献

基因谱分析可识别高分化甲状腺上皮肿瘤特有的基因。

Gene profiling identifies genes specific for well-differentiated epithelial thyroid tumors.

作者信息

Puskas L G, Juhasz F, Zarva A, Hackler L, Farid N R

机构信息

Laboratory of Functional Genomics, Biology Research Center, Hungarian Academy of Science, Szeged, Hungary.

出版信息

Cell Mol Biol (Noisy-le-grand). 2005 Sep 5;51(2):177-86.

Abstract

Thyroid nodules are common. It would very helpful if genetic markers that can diagnose malignancy from fine needle aspiration samples were available. Few such markers has been thus identified and none are specific. Large panels of potential markers can be screened by microarray technology. Studies done to date have concentrated on single tumor types and thus provide no help in identifying tumor subtype specific markers. To that end we have studied gene profiles of 5 types of benign and malignant thyroid nodular tissue (multinodular goiter, follicular adenoma, papillary and follicular carcinomas). We have identified 195 genes whose differential expression clustered into clinically relevant groups. Twenty-eight genes were selected for further confirmation using real time quantitative polymerase chain reaction. Despite the differences in the microarray panels used, we confirmed the differential regulation of 12 genes previously reported in thyroid cancer, although we found the expression of several genes to be regulated in other histological tumor subtypes than originally described. We found, PCSK2, TRIB1, RAP1 GA1 to be specifically overexpressed in follicular cancer and S100A4 and GK2 in papillary carcinoma. SERP1, RNASE 2 and STATA5 were suppressed in papillary thyroid cancer. We have thus identified new potential markers specific to malignant thyroid tumors. It is apparent that a range of nodular thyroid tissue using large tumor sample numbers is necessary to establish robust markers for malignancy and to categorize tumors on the basis of small tumor samples.

摘要

甲状腺结节很常见。如果能有可从细针穿刺样本中诊断恶性肿瘤的基因标志物,那将非常有帮助。目前仅鉴定出了少数此类标志物,且无一具有特异性。可通过微阵列技术筛选大量潜在标志物。迄今为止所做的研究都集中在单一肿瘤类型上,因此无助于识别肿瘤亚型特异性标志物。为此,我们研究了5种良性和恶性甲状腺结节组织(多结节性甲状腺肿、滤泡性腺瘤、乳头状癌和滤泡状癌)的基因谱。我们鉴定出了195个基因,其差异表达聚集成临床相关组。选择了28个基因使用实时定量聚合酶链反应进行进一步验证。尽管所使用的微阵列芯片有所不同,但我们证实了先前报道的甲状腺癌中12个基因的差异调控,不过我们发现有几个基因的表达在其他组织学肿瘤亚型中的调控情况与最初描述的不同。我们发现,PCSK2、TRIB1、RAP1 GA1在滤泡状癌中特异性过表达,而S100A4和GK2在乳头状癌中特异性过表达。SERP1、RNASE 2和STATA5在甲状腺乳头状癌中受到抑制。因此,我们鉴定出了甲状腺恶性肿瘤特有的新的潜在标志物。显然,需要使用大量肿瘤样本对一系列甲状腺结节组织进行研究,以建立可靠的恶性肿瘤标志物,并基于小肿瘤样本对肿瘤进行分类。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验