Literature DB >> 17286448

Identification of leukemia-specific fusion gene transcripts with a novel oligonucleotide array.

Sung-Min Chun1, Yoo-Li Kim, Hee Baeg Choi, Yong-Taek Oh, Yoo-Jin Kim, Seok Lee, Tai-Gyu Kim, Eun Gyeong Yang, Yong-Keun Park, Dong-Wook Kim, Byoung-Don Han.   

Abstract

BACKGROUND: Identification of specific chromosomal translocations is essential for the diagnosis and prognosis of leukemia. In this study, we employ DNA microarray technology to detect chromosomal aberrations in patients with chronic myeloid leukemia (CML) and acute myeloid leukemia (AML), as well as in leukemic cell lines.
METHODS: Reverse transcription using a random 9-mer primer was performed with total RNA from patients and leukemic cells lines. Multiplex PCR reactions using four groups of primer sets were then performed for amplification of cDNA from reverse-transcribed total RNA samples. Normal and fusion sequences were distinguished by hybridization of the amplified cDNA to a selective oligonucleotide array (SOA) containing 20-30mer synthetic probes. A total of 23 sets of oligomers were fabricated on glass slides for the detection of normal and fusion genes, as follows: BCR/ABL, AML/EAP, AML/ETO, AML/MDS, PML/RARA, NUMA1/RARA, PLZF/RARA, and CBFB/MYH.
RESULTS: Gene translocation in leukemia was effectively identified with the SOA containing various leukemia-specific fusion and normal control sequences. Leukemic fusion sequences from patients and cell lines hybridized specifically to their complementary probes. The probe sets differing by approximately 50% at their 5' or 3' ends could distinguish between normal and fusion sequences. The entire process of detection was completed within 8 hours using the SOA method.
CONCLUSIONS: Probe sets on SOA can effectively discriminate between leukemia-specific fusion and normal sequences with a chip hybridization procedure. The oligonucleotide array presents several advantages in identifying leukemic gene translocations, such as multiplex screening, relatively low cost, and speed.

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Year:  2007        PMID: 17286448     DOI: 10.1007/BF03256220

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  24 in total

Review 1.  Detection of minimal residual disease in hematologic malignancies by real-time quantitative PCR: principles, approaches, and laboratory aspects.

Authors:  V H J van der Velden; A Hochhaus; G Cazzaniga; T Szczepanski; J Gabert; J J M van Dongen
Journal:  Leukemia       Date:  2003-06       Impact factor: 11.528

Review 2.  Oncogenic transcription factors in the human acute leukemias.

Authors:  A T Look
Journal:  Science       Date:  1997-11-07       Impact factor: 47.728

3.  New score predicting for prognosis in PML-RARA+, AML1-ETO+, or CBFBMYH11+ acute myeloid leukemia based on quantification of fusion transcripts.

Authors:  Susanne Schnittger; Martin Weisser; Claudia Schoch; Wolfgang Hiddemann; Torsten Haferlach; Wolfgang Kern
Journal:  Blood       Date:  2003-07-03       Impact factor: 22.113

4.  A diagnostic biochip for the comprehensive analysis of MLL translocations in acute leukemia.

Authors:  N Maroc; A Morel; E Beillard; A L De La Chapelle; X Fund; M-J Mozziconacci; M Dupont; J-M Cayuela; J Gabert; A Koki; V Fert; F Hermitte
Journal:  Leukemia       Date:  2004-09       Impact factor: 11.528

5.  Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon.

Authors:  Tong-Tong Zou; Florin M Selaru; Yan Xu; Valentina Shustova; Jing Yin; Yuriko Mori; David Shibata; Fumiaki Sato; Suma Wang; Andreea Olaru; Elena Deacu; Thomas C Liu; John M Abraham; Stephen J Meltzer
Journal:  Oncogene       Date:  2002-07-18       Impact factor: 9.867

6.  Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using 'real-time' quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) - a Europe against cancer program.

Authors:  E Beillard; N Pallisgaard; V H J van der Velden; W Bi; R Dee; E van der Schoot; E Delabesse; E Macintyre; E Gottardi; G Saglio; F Watzinger; T Lion; J J M van Dongen; P Hokland; J Gabert
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

7.  Multiplex RT-PCR for the detection of leukemia-associated translocations: validation and application to routine molecular diagnostic practice.

Authors:  Manuel Salto-Tellez; Suresh G Shelat; Bernice Benoit; Hanna Rennert; Martin Carroll; Debra G B Leonard; Peter Nowell; Adam Bagg
Journal:  J Mol Diagn       Date:  2003-11       Impact factor: 5.568

8.  Risk factors for adults with Philadelphia-chromosome-positive acute lymphoblastic leukaemia in remission treated with allogeneic bone marrow transplantation: the potential of real-time quantitative reverse-transcription polymerase chain reaction.

Authors:  Seok Lee; Dong-Wook Kim; Bin Cho; Yoo-Jin Kim; Yoo-Li Kim; Ji-Yeon Hwang; Yoon-Hee Park; Ho-Jin Shin; Chi-Young Park; Woo-Sung Min; Hack-Ki Kim; Chun-Choo Kim
Journal:  Br J Haematol       Date:  2003-01       Impact factor: 6.998

9.  Multiplex reverse transcription-polymerase chain reaction for simultaneous screening of 29 translocations and chromosomal aberrations in acute leukemia.

Authors:  N Pallisgaard; P Hokland; D C Riishøj; B Pedersen; P Jørgensen
Journal:  Blood       Date:  1998-07-15       Impact factor: 22.113

10.  A multiplex reverse transcriptase-polymerase chain reaction strategy for the diagnostic molecular screening of chimeric genes: a clinical evaluation on 170 patients with acute lymphoblastic leukemia.

Authors:  Loredana Elia; Marco Mancini; Luisa Moleti; Giovanna Meloni; Sonia Buffolino; Mauro Krampera; Giulio De Rossi; Robin Foà; Giuseppe Cimino
Journal:  Haematologica       Date:  2003-03       Impact factor: 9.941

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  3 in total

Review 1.  Diagnostic microarrays in hematologic oncology: applications of high- and low-density arrays.

Authors:  Tatyana V Nasedkina; Natalia A Guseva; Olga A Gra; Olga N Mityaeva; Alexander V Chudinov; Alexander S Zasedatelev
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

2.  Analyzing the gene expression profile of pediatric acute myeloid leukemia with real-time PCR arrays.

Authors:  Tao Yan-Fang; Wu Dong; Pang Li; Zhao Wen-Li; Lu Jun; Wang Na; Wang Jian; Feng Xing; Li Yan-Hong; Ni Jian; Pan Jian
Journal:  Cancer Cell Int       Date:  2012-09-08       Impact factor: 5.722

3.  MICB Allele Genotyping on Microarrays by Improving the Specificity of Extension Primers.

Authors:  In-Cheol Baek; Jung-Pil Jang; Eun-Jeong Choi; Tai-Gyu Kim
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

  3 in total

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