分子诊断在结直肠癌中的应用

Laura Huth, Jörg Jäkel, Edgar Dahl
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引用次数: 8

摘要

结直肠癌是一种临床多样化的疾病,是全球癌症相关死亡的主要原因。本文将对新型分子诊断技术的应用进行综述,以期提高结直肠癌患者的生存率。这些应用的区别是基于结直肠癌(CRC)中发现的不同分子原理。讨论了单基因分子分析策略(如KRAS或TP53)以及基于微阵列的技术。此外,除了粪便隐血检测(FOBT)和结肠镜检查外,一些新的检测方法为早期检测结直肠癌提供了方法,如多靶点粪便DNA检测或基于血液的Septin 9 DNA甲基化检测。液体活检分析也可能显示出巨大的诊断潜力在CRC监测发展耐药治疗。这些新的诊断工具和结直肠癌分子生物标志物的定义将改善结直肠癌的早期发现和靶向治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular Diagnostic Applications in Colorectal Cancer.

Molecular Diagnostic Applications in Colorectal Cancer.

Colorectal cancer, a clinically diverse disease, is a leading cause of cancer-related death worldwide. Application of novel molecular diagnostic tests, which are summarized in this article, may lead to an improved survival of colorectal cancer patients.  Distinction of these applications is based on the different molecular principles found in colorectal cancer (CRC). Strategies for molecular analysis of single genes (as KRAS or TP53) as well as microarray based techniques are discussed. Moreover, in addition to the fecal occult blood testing (FOBT) and colonoscopy some novel assays offer approaches for early detection of colorectal cancer like the multitarget stool DNA test or the blood-based Septin 9 DNA methylation test. Liquid biopsy analysis may also exhibit great diagnostic potential in CRC for monitoring developing resistance to treatment. These new diagnostic tools and the definition of molecular biomarkers in CRC will improve early detection and targeted therapy of colorectal cancer.

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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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