Fluorescence in situ hybridization FISH: an increasingly demanded tool for biomarker research and personalized medicineReport as inadecuate




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Biomarker Research

, 2:3

First Online: 05 February 2014Received: 16 November 2013Accepted: 30 January 2014DOI: 10.1186-2050-7771-2-3

Cite this article as: Hu, L., Ru, K., Zhang, L. et al. Biomark Res 2014 2: 3. doi:10.1186-2050-7771-2-3

Abstract

Extensive studies of the genetic aberrations related to human diseases conducted over the last two decades have identified recurrent genomic abnormalities as potential driving factors underlying a variety of cancers. Over the time, a series of cutting-edge high-throughput genetic tests, such as microarrays and next-generation sequencing, have been developed and incorporated into routine clinical practice. Although it is a classical low-throughput cytogenetic test, fluorescence in situ hybridization FISH does not show signs of fading; on the contrary, it plays an increasingly important role in detecting specific biomarkers in solid and hematologic neoplasms and has therefore become an indispensable part of the rapidly developing field of personalized medicine. In this article, we have summarized the recent advances in FISH application for both de novo discovery and routine detection of chromosomal rearrangements, amplifications, and deletions that are associated with the pathogenesis of various hematopoietic and non-hematopoietic malignancies. In addition, we have reviewed the recent developments in FISH methodology as well.

KeywordsFluorescence in situ hybridization FISH Solid tumors Hematopoietic malignancies Genetic aberrations Biomarkers Personalized medicine AbbreviationsFISHFluorescence in situ hybridization

CCConventional cytogenetics

aCGHArray-based comparative genomic hybridization

SNP-arraysSingle nucleotide polymorphism arrays

CNAsCopy number alterations.

Electronic supplementary materialThe online version of this article doi:10.1186-2050-7771-2-3 contains supplementary material, which is available to authorized users.

Linping Hu, Kun Ru contributed equally to this work.

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Author: Linping Hu - Kun Ru - Li Zhang - Yuting Huang - Xiaofan Zhu - Hanzhi Liu - Anders Zetterberg - Tao Cheng - Weimin Miao

Source: https://link.springer.com/







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