Literature DB >> 19930410

Development of a biochip-based assay integrated in a global strategy for identification of fusion transcripts in acute myeloid leukemia: a work flow for acute myeloid leukemia diagnosis.

S Giusiano1, C Formisano-Tréziny, A Benziane, N Maroc, C Picard, F Hermitte, C Taranger-Charpin, J Gabert.   

Abstract

Three major types of rearrangements are involved in acute myeloid leukemias (AML): t(8;21)(q22;q22), inv(16)(p13q22), and 11q23/MLL abnormalities. Their precise identification becomes essential for diagnosis, prognosis, and therapeutic choices. Resulting fusion transcripts (FT) are also powerful markers for monitoring the efficacy of treatment, the minimal residual disease (MRD) and could become therapeutic targets. Today, the challenge is to propose an individual follow-up for each patient even for those with a rare fusion event. In this study, we propose a biochip-based assay integrated in a global strategy for identification of rare FT in AML, after fluorescence in situ hybridization detection, as described by the World Health Organization classification. Using cell lines, we developed and validated a biochip-based assay called the AMLFusionChip that identifies every FT of AML1-ETO, CBFbeta-MYH11 as well as MLL-AF9, MLL-ENL, MLL-AF6, and MLL-AF10. The original design of our AMLFusionChip.v01 enables the identification of these FT wherever the breakpoint on the partner gene may be. In case of biochip negative result, our 3'RACE amplification strategy enables to clone and then sequence the new translocation partner. This AMLFusionChip strategy fits into the concept of personalized medicine for the largest number of patients.

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Year:  2009        PMID: 19930410     DOI: 10.1111/j.1751-553X.2009.01201.x

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  2 in total

1.  A pipeline with multiplex reverse transcription polymerase chain reaction and microarray for screening of chromosomal translocations in leukemia.

Authors:  Fei-Fei Xiong; Ben-Shang Li; Chun-Xiu Zhang; Hui Xiong; Shu-Hong Shen; Qing-Hua Zhang
Journal:  Biomed Res Int       Date:  2013-10-08       Impact factor: 3.411

Review 2.  Biocontrol and Rapid Detection of Food-Borne Pathogens Using Bacteriophages and Endolysins.

Authors:  Jaewoo Bai; You-Tae Kim; Sangryeol Ryu; Ju-Hoon Lee
Journal:  Front Microbiol       Date:  2016-04-08       Impact factor: 5.640

  2 in total

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