Gene expression profile related to prognosis of acute myeloid leukemia

Min Ha Park, Sun A. Cho, Kyung Hyun Yoo, Moon Hee Yang, Ji Young Ahn, Hyo Soo Lee, Kyoung Eun Lee, Yeung Chul Mun, Dae Ho Cho, Chu Myong Seong, Jong Hoon Park

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Acute myeloid leukemia (AML) is a heterogeneous group of diseases with respect to biology and clinical course. Through genome-wide scanning, we can have an improvement of the diagnosis and assay system of AML. Microarray was performed for the identification of acute myeloid leukemia prognosis. We divided patients into two groups (good prognosis group, GPG and poor prognosis group, PPG) based on differences in the individual reactions to treatment. Gene expression profiles were analyzed using microarray. Among genes up-regulated at least two-fold and down-regulated at least 0.5-fold in HL-60, we chose three up-regulated genes (PPP2CA, ME3, and CCDN2) and three down-regulated genes (GLO1, ANXA2, and BMI1) and confirmed the expression of these six genes by RT-PCR. We created a leukemia-specific subclass microarray, based on the gene expression profiles. Clinical samples from the bone marrow of four patients were hybridized on this microarray. Among the genes selected by the microarray technology, NB4, silenced TRIB3 and overexpressed XRN2 were not differentiated in spite of treatment with ATRA. This indicates that XRN2 and TRIB3 play an important role in cell differentiation. These data provided an expression profile for the diagnosis and prognosis of AML patients and identified candidate genes that might allow the prognosis of AML through the relative comparison of the expression level of genes between GPG and PPG.

Original languageEnglish
Pages (from-to)1395-1402
Number of pages8
JournalOncology Reports
Volume18
Issue number6
Publication statusPublished - 2007 Dec 1
Externally publishedYes

Fingerprint

Transcriptome
Acute Myeloid Leukemia
Genes
Gene Expression
Individuality
Cell Differentiation
Leukemia
Bone Marrow
Genome
Technology
Polymerase Chain Reaction
Therapeutics

Keywords

  • Acute myeloid leukemia
  • Microarry
  • Prognosis

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Park, M. H., Cho, S. A., Yoo, K. H., Yang, M. H., Ahn, J. Y., Lee, H. S., ... Park, J. H. (2007). Gene expression profile related to prognosis of acute myeloid leukemia. Oncology Reports, 18(6), 1395-1402.

Gene expression profile related to prognosis of acute myeloid leukemia. / Park, Min Ha; Cho, Sun A.; Yoo, Kyung Hyun; Yang, Moon Hee; Ahn, Ji Young; Lee, Hyo Soo; Lee, Kyoung Eun; Mun, Yeung Chul; Cho, Dae Ho; Seong, Chu Myong; Park, Jong Hoon.

In: Oncology Reports, Vol. 18, No. 6, 01.12.2007, p. 1395-1402.

Research output: Contribution to journalArticle

Park, MH, Cho, SA, Yoo, KH, Yang, MH, Ahn, JY, Lee, HS, Lee, KE, Mun, YC, Cho, DH, Seong, CM & Park, JH 2007, 'Gene expression profile related to prognosis of acute myeloid leukemia', Oncology Reports, vol. 18, no. 6, pp. 1395-1402.
Park MH, Cho SA, Yoo KH, Yang MH, Ahn JY, Lee HS et al. Gene expression profile related to prognosis of acute myeloid leukemia. Oncology Reports. 2007 Dec 1;18(6):1395-1402.
Park, Min Ha ; Cho, Sun A. ; Yoo, Kyung Hyun ; Yang, Moon Hee ; Ahn, Ji Young ; Lee, Hyo Soo ; Lee, Kyoung Eun ; Mun, Yeung Chul ; Cho, Dae Ho ; Seong, Chu Myong ; Park, Jong Hoon. / Gene expression profile related to prognosis of acute myeloid leukemia. In: Oncology Reports. 2007 ; Vol. 18, No. 6. pp. 1395-1402.
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