• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

微阵列技术在人类癌症研究中的优势与局限

Advantages and limitations of microarray technology in human cancer.

作者信息

Russo Giuseppe, Zegar Charles, Giordano Antonio

机构信息

Sbarro Institute for Cancer Research and Molecular Medicine, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA.

出版信息

Oncogene. 2003 Sep 29;22(42):6497-507. doi: 10.1038/sj.onc.1206865.

DOI:10.1038/sj.onc.1206865
PMID:14528274
Abstract

Cancer is a highly variable disease with multiple heterogeneous genetic and epigenetic changes. Functional studies are essential to understanding the complexity and polymorphisms of cancer. The final deciphering of the complete human genome, together with the improvement of high throughput technologies, is causing a fundamental transformation in cancer research. Microarray is a new powerful tool for studying the molecular basis of interactions on a scale that is impossible using conventional analysis. This technique makes it possible to examine the expression of thousands of genes simultaneously. This technology promises to lead to improvements in developing rational approaches to therapy as well as to improvements in cancer diagnosis and prognosis, assuring its entry into clinical practice in specialist centers and hospitals within the next few years. Predicting who will develop cancer and how this disease will behave and respond to therapy after diagnosis will be one of the potential benefits of this technology within the next decade. In this review, we highlight some of the recent developments and results in microarray technology in cancer research, discuss potentially problematic areas associated with it, describe the eventual use of microarray technology for clinical applications and comment on future trends and issues.

摘要

癌症是一种高度可变的疾病,具有多种异质性的基因和表观遗传变化。功能研究对于理解癌症的复杂性和多态性至关重要。人类全基因组的最终破译,以及高通量技术的改进,正在引发癌症研究的根本性变革。微阵列是一种新的强大工具,可用于在常规分析无法企及的规模上研究相互作用的分子基础。这项技术使得同时检测数千个基因的表达成为可能。这项技术有望在开发合理的治疗方法以及改善癌症诊断和预后方面取得进展,确保其在未来几年内在专科中心和医院进入临床实践。预测谁会患癌症以及这种疾病在诊断后将如何表现和对治疗作出反应,将是这项技术在未来十年内的潜在益处之一。在这篇综述中,我们重点介绍微阵列技术在癌症研究中的一些最新进展和成果,讨论与之相关的潜在问题领域,描述微阵列技术在临床应用中的最终用途,并对未来趋势和问题发表评论。

相似文献

1
Advantages and limitations of microarray technology in human cancer.微阵列技术在人类癌症研究中的优势与局限
Oncogene. 2003 Sep 29;22(42):6497-507. doi: 10.1038/sj.onc.1206865.
2
Exploring the molecular basis of tumor metastasis by microarray analysis.通过微阵列分析探索肿瘤转移的分子基础。
Assay Drug Dev Technol. 2006 Aug;4(4):483-8. doi: 10.1089/adt.2006.4.483.
3
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancer.微阵列数据的噪声过滤和非参数分析突出了口腔癌、前列腺癌、肺癌、卵巢癌和乳腺癌的鉴别标志物。
BMC Bioinformatics. 2004 Nov 29;5:185. doi: 10.1186/1471-2105-5-185.
4
Microarrays as cancer keys: an array of possibilities.微阵列作为癌症的关键:一系列可能性。
J Clin Oncol. 2002 Jul 15;20(14):3165-75. doi: 10.1200/JCO.2002.12.073.
5
Microarray-based gene expression studies in ovarian cancer.基于微阵列的卵巢癌基因表达研究。
Cancer Control. 2011 Jan;18(1):8-15. doi: 10.1177/107327481101800102.
6
Cancer diagnosis and microarrays.癌症诊断与微阵列
Int J Biochem Cell Biol. 2003 Feb;35(2):119-24. doi: 10.1016/s1357-2725(02)00124-3.
7
Biochip technologies in cancer research.癌症研究中的生物芯片技术。
Ann Med. 2001 Mar;33(2):142-7. doi: 10.3109/07853890109002069.
8
[Microarray technology--potential in cancer research].[微阵列技术——在癌症研究中的潜力]
Tidsskr Nor Laegeforen. 2001 Sep 10;121(21):2498-503.
9
DNA microarrays for assessing ovarian cancer gene expression.用于评估卵巢癌基因表达的DNA微阵列。
Mol Cell Endocrinol. 2002 May 31;191(1):121-6. doi: 10.1016/s0303-7207(02)00063-1.
10
Microarray: an instrument for cancer surgeons of the future?微阵列:未来癌症外科医生的工具?
ANZ J Surg. 2010 Jul-Aug;80(7-8):531-6. doi: 10.1111/j.1445-2197.2010.05379.x.

引用本文的文献

1
Exploring Differentially Expressed Genes and Understanding the Underlying Mechanisms in Glioblastoma.探索胶质母细胞瘤中差异表达基因并了解其潜在机制
Biochem Genet. 2025 Sep 10. doi: 10.1007/s10528-025-11241-w.
2
Current updates regarding biogenesis, functions and dysregulation of microRNAs in cancer: Innovative approaches for detection using CRISPR/Cas13‑based platforms (Review).癌症中微小RNA的生物发生、功能及失调的最新进展:基于CRISPR/Cas13平台的创新检测方法(综述)
Int J Mol Med. 2025 Jun;55(6). doi: 10.3892/ijmm.2025.5531. Epub 2025 Apr 17.
3
Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.
整合单细胞RNA测序、加权基因共表达网络分析和机器学习以鉴定肝细胞癌中的关键生物标志物。
Sci Rep. 2025 Apr 1;15(1):11157. doi: 10.1038/s41598-025-95493-x.
4
Malignant Transformation of Normal Oral Tissue to Dysplasia and Early Oral Squamous Cell Carcinoma: An Transcriptomics Approach.正常口腔组织向发育异常和早期口腔鳞状细胞癌的恶性转化:一种转录组学方法。
Anal Cell Pathol (Amst). 2024 Sep 18;2024:6260651. doi: 10.1155/2024/6260651. eCollection 2024.
5
The Progression and Prospects of the Gene Expression Profiling in Ovarian Epithelial Cancer.卵巢上皮癌中基因表达谱的进展与前景
Gynecol Minim Invasive Ther. 2024 Jul 18;13(3):141-145. doi: 10.4103/gmit.gmit_13_23. eCollection 2024 Jul-Sep.
6
Screening microRNAs as potential prognostic biomarkers for lung adenocarcinoma.筛选 microRNAs 作为肺腺癌潜在的预后生物标志物。
Ann Med. 2023;55(2):2241013. doi: 10.1080/07853890.2023.2241013. Epub 2023 Nov 6.
7
Genetic Enhancement of Cereals Using Genomic Resources for Nutritional Food Security.利用基因组资源进行谷物遗传增强以实现营养食品安全。
Genes (Basel). 2023 Sep 7;14(9):1770. doi: 10.3390/genes14091770.
8
Molecular characterization of enterotoxin genes in methicillin-resistant S. aureus isolated from food poisoning outbreaks in Egypt.从埃及食物中毒爆发中分离的耐甲氧西林金黄色葡萄球菌中肠毒素基因的分子特征。
J Health Popul Nutr. 2023 Aug 28;42(1):86. doi: 10.1186/s41043-023-00416-z.
9
Inferring Gene Regulatory Networks from RNA-seq Data Using Kernel Classification.使用核分类从RNA测序数据推断基因调控网络
Biology (Basel). 2023 Mar 29;12(4):518. doi: 10.3390/biology12040518.
10
Increasing the production of the bioactive compounds in medicinal mushrooms: an omics perspective.提高药用蘑菇中生物活性化合物的产量:组学视角。
Microb Cell Fact. 2023 Jan 16;22(1):11. doi: 10.1186/s12934-022-02013-x.