Literature DB >> 12888896

Identification of signature genes by microarray for acute myeloid leukemia without maturation and acute promyelocytic leukemia with t(15;17)(q22;q12)(PML/RARalpha).

Jun Morikawa1, Huai Li, Seungchan Kim, Kazuhiro Nishi, Satoshi Ueno, Edward Suh, Edward Dougherty, Ilya Shmulevich, Hiroshi Shiku, Wei Zhang, Tohru Kobayashi.   

Abstract

Acute myeloid leukemia (AML) has distinct subgroups characterized by different maturation and specific chromosomal translocation. In order to gain insight into the gene expression activities in AML, we carried out a gene expression profiling study with 21 AML samples using cDNA microarrays, focusing on acute promyelocytic leukemia with specific translocation t(15;17)(q22;q12) [French-American-British or FAB-M3 with t(15;17)] and AML without maturation (FAB-M1) characterized by morphologically and phenotypically immature AML blasts and no recurrent chromosomal abnormalities. Using a multivariate sigma-classifier algorithm, we identified 33 strong feature genes that distinguish FAB-M3 with t(15;17) from other AML samples, and 24 strong feature genes that classify FAB-M1. A direct comparison between FAB-M3 with t(15;17) and FAB-M1 led to selection of 13 strong feature genes. Those genes include some known to be related to leukemogenesis and cell differentiation. RIN1, a gene in the ras pathway, was up-regulated in FAB-M3 with t(15;17). Growth factor-binding protein 2 gene was down-regulated in FAB-M1. Huntingtin gene was up-regulated in FAB-M1. Others include syndecan 4, interleukin-2 receptor beta, folate receptor beta, low affinity immunoglobulin gamma, Fc receptor IIC precursor, insulin-like growth factor binding protein 2, and myeloperoxidase, which are involved in cell differentiation. Overexpression of myeloperoxidase in FAB-M3 cells with t(15;17) compared to FAB-M1 cells is consistent with the conventional cytochemical staining pattern. Thus, the study revealed that a morphologically-defined FAB-M1 subtype has a distinct gene expression signature that contributes to its cell differentiation and proliferation as well as FAB-M3 with a recurrent cytogenetic abnormality t(15;17)(q22;q12).

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12888896

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  10 in total

Review 1.  Clinical implications of gene expression profiling of acute myeloid leukemia.

Authors:  Kenneth I Mills; Amanda F Gilkes
Journal:  Curr Hematol Malig Rep       Date:  2006-06       Impact factor: 3.952

2.  Noninvasive stool-based detection of infant gastrointestinal development using gene expression profiles from exfoliated epithelial cells.

Authors:  Robert S Chapkin; Chen Zhao; Ivan Ivanov; Laurie A Davidson; Jennifer S Goldsby; Joanne R Lupton; Rose Ann Mathai; Marcia H Monaco; Deshanie Rai; W Michael Russell; Sharon M Donovan; Edward R Dougherty
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2010-03-04       Impact factor: 4.052

3.  Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction.

Authors:  Carla S Wilson; George S Davidson; Shawn B Martin; Erik Andries; Jeffrey Potter; Richard Harvey; Kerem Ar; Yuexian Xu; Kenneth J Kopecky; Donna P Ankerst; Holly Gundacker; Marilyn L Slovak; Monica Mosquera-Caro; I-Ming Chen; Derek L Stirewalt; Maurice Murphy; Frederick A Schultz; Huining Kang; Xuefei Wang; Jerald P Radich; Frederick R Appelbaum; Susan R Atlas; John Godwin; Cheryl L Willman
Journal:  Blood       Date:  2006-04-04       Impact factor: 22.113

4.  Performance of feature selection methods.

Authors:  Edward R Dougherty; Jianping Hua; Chao Sima
Journal:  Curr Genomics       Date:  2009-09       Impact factor: 2.236

5.  Characterization of the effectiveness of reporting lists of small feature sets relative to the accuracy of the prior biological knowledge.

Authors:  Chen Zhao; Michael L Bittner; Robert S Chapkin; Edward R Dougherty
Journal:  Cancer Inform       Date:  2010-03-18

6.  Noninvasive detection of candidate molecular biomarkers in subjects with a history of insulin resistance and colorectal adenomas.

Authors:  Chen Zhao; Ivan Ivanov; Edward R Dougherty; Terryl J Hartman; Elaine Lanza; Gerd Bobe; Nancy H Colburn; Joanne R Lupton; Laurie A Davidson; Robert S Chapkin
Journal:  Cancer Prev Res (Phila)       Date:  2009-05-26

7.  High RIN1 expression is associated with poor prognosis in patients with gastric adenocarcinoma.

Authors:  Hai-Feng Yu; Gang Zhao; Zhi-Jun Ge; Dao-Rong Wang; Jie Chen; Yun Zhang; Tian-Zhou Zha; Kai Zhang; Miao Zhang; Yong-Fei Tan; Su-Jun Zhou; Chao Jiang
Journal:  Tumour Biol       Date:  2012-05-06

8.  ABL fusion oncogene transformation and inhibitor sensitivity are mediated by the cellular regulator RIN1.

Authors:  M Thai; P Y Ting; J McLaughlin; D Cheng; M Müschen; O N Witte; J Colicelli
Journal:  Leukemia       Date:  2010-11-19       Impact factor: 11.528

9.  Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.

Authors:  Leslie R Grate
Journal:  BMC Bioinformatics       Date:  2005-04-13       Impact factor: 3.169

Review 10.  Tyrosine kinase gene fusions in cancer: translating mechanisms into targeted therapies.

Authors:  Sandrine Medves; Jean-Baptiste Demoulin
Journal:  J Cell Mol Med       Date:  2012-02       Impact factor: 5.310

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.