Literature DB >> 18665825

Simple multiplex RT-PCR for identifying common fusion transcripts in childhood acute leukemia.

S Pakakasama1, S Kajanachumpol, S Kanjanapongkul, N Sirachainan, A Meekaewkunchorn, V Ningsanond, S Hongeng.   

Abstract

Nonrandom gene rearrangements have been demonstrated in leukemic cells at diagnosis. These genetic abnormalities are associated with specific types, clinical characteristics, and prognosis of acute leukemia. Common fusion transcripts in childhood acute lymphoblastic leukemia (ALL) are TEL-AML1, E2A-PBX, MLL-AF4, and BCR-ABL (p190) and in acute nonlymphoblastic leukemia (ANLL) are AML-ETO, PML-RARA, and CBFB-MYH11. Reverse transcription-polymerase chain reaction (RT-PCR) for detection of each individual fusion transcript is impractical and time consuming. The purpose of this study was to develop simple RT-PCR methods to identify common fusion transcripts of newly diagnosed acute leukemia in children. Total RNA was extracted from bone marrow samples of children diagnosed with acute leukemia. Multiplex RT-PCR panel A (ALL) included primers for TEL-AML1, E2A-PBX, MLL-AF4, and BCR-ABL (p190) whereas panel B (ANLL) composed of primers for AML-ETO, PML-RARA, and CBFB-MYH11. Known leukemic cell lines were used to serve as positive controls. Eighty three children diagnosed with ALL (n = 63) and ANLL (n = 20) were included in this study. Fusion transcripts could be identified using multiplex RT-PCR panel A for ALL and panel B for ANLL in 26/83 (31.3%) cases. In ALL samples, we found TEL-AML1 = 16/63 (25.4%), E2A-PBX = 3/63 (4.8%), MLL-AF4 = 1/63 (1.6%), and BCR-ABL = 1/63 (1.6%). Four cases of AML1-ETO (20%) and one PML-RARA (5%) were found in ANLL samples. In conclusion, our simple multiplex RT-PCR for detection of fusion transcripts in childhood acute leukemia was found to be a rapid, accurate, and effective method.

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Year:  2008        PMID: 18665825     DOI: 10.1111/j.1751-553X.2007.00954.x

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


  13 in total

1.  RT-PCR and real-time PCR analysis of E2A-PBX1, TEL-AML1, mBCR-ABL and MLL-AF4 fusion gene transcripts in de novo B-lineage acute lymphoblastic leukaemia patients in south India.

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2.  Bcr-abl silencing by specific small-interference RNA expression vector as a potential treatment for chronic myeloid leukemia.

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Review 4.  Global characteristics of childhood acute promyelocytic leukemia.

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5.  Incidence of Common Fusion Transcripts in Adult and Pediatric Acute Myeloid Leukemia (AML) Cases: Experience of a Tertiary Care Research institute.

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6.  A Study on the Expression of BCR-ABL Transcript in Mixed Phenotype Acute Leukemia (MPAL) Cases Using the Reverse Transcriptase Polymerase Reaction Assay (RT-PCR) and its Correlation with Hematological Remission Status Post Initial Induction Therapy.

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Journal:  Mediterr J Hematol Infect Dis       Date:  2012-05-08       Impact factor: 2.576

7.  Segtor: rapid annotation of genomic coordinates and single nucleotide variations using segment trees.

Authors:  Gabriel Renaud; Pedro Neves; Edson Luiz Folador; Carlos Gil Ferreira; Fabio Passetti
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8.  Characterization of Common Chromosomal Translocations and Their Frequencies in Acute Myeloid Leukemia Patients of Northwest Iran.

Authors:  Elnaz Amanollahi Kamaneh; Karim Shams Asenjan; Aliakbar Movassaghpour Akbari; Parvin Akbarzadeh Laleh; Hadi Chavoshi; Jamal Eivazi Ziaei; Alireza Nikanfar; Iraj Asvadi Kermani; Ali Esfahani
Journal:  Cell J       Date:  2016-04-04       Impact factor: 2.479

9.  Risk-based classification of leukemia by cytogenetic and multiplex molecular methods: results from a multicenter validation study.

Authors:  C D Gocke; J Mason; L Brusca; W Laosinchai-Wolf; C Higgs; H Newell; A Masters; L Friar; J Karp; M Griffiths; Q Wei; E Labourier
Journal:  Blood Cancer J       Date:  2012-07-13       Impact factor: 11.037

10.  Incidence of common preleukemic gene fusions in umbilical cord blood in Slovak population.

Authors:  Milan Škorvaga; Ekaterina Nikitina; Miroslav Kubeš; Pavol Košík; Beata Gajdošechová; Michaela Leitnerová; Lucia Copáková; Igor Belyaev
Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

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