Literature DB >> 16418266

Gene expression profiles in acute myeloid leukemia with common translocations using SAGE.

Sanggyu Lee1, Jianjun Chen, Guolin Zhou, Run Zhang Shi, Gerard G Bouffard, Masha Kocherginsky, Xijin Ge, Miao Sun, Nimanthi Jayathilaka, Yeong Cheol Kim, Neelmini Emmanuel, Stefan K Bohlander, Mark Minden, Justin Kline, Ozden Ozer, Richard A Larson, Michelle M LeBeau, Eric D Green, Jeffery Trent, Theodore Karrison, Piu Paul Liu, San Ming Wang, Janet D Rowley.   

Abstract

Identification of the specific cytogenetic abnormality is one of the critical steps for classification of acute myeloblastic leukemia (AML) which influences the selection of appropriate therapy and provides information about disease prognosis. However at present, the genetic complexity of AML is only partially understood. To obtain a comprehensive, unbiased, quantitative measure, we performed serial analysis of gene expression (SAGE) on CD15(+) myeloid progenitor cells from 22 AML patients who had four of the most common translocations, namely t(8;21), t(15;17), t(9;11), and inv(16). The quantitative data provide clear evidence that the major change in all these translocation-carrying leukemias is a decrease in expression of the majority of transcripts compared with normal CD15(+) cells. From a total of 1,247,535 SAGE tags, we identified 2,604 transcripts whose expression was significantly altered in these leukemias compared with normal myeloid progenitor cells. The gene ontology of the 1,110 transcripts that matched known genes revealed that each translocation had a uniquely altered profile in various functional categories including regulation of transcription, cell cycle, protein synthesis, and apoptosis. Our global analysis of gene expression of common translocations in AML can focus attention on the function of the genes with altered expression for future biological studies as well as highlight genes/pathways for more specifically targeted therapy.

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Year:  2006        PMID: 16418266      PMCID: PMC1347995          DOI: 10.1073/pnas.0509878103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

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6.  Cluster analysis and display of genome-wide expression patterns.

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7.  Expression profiles of acute lymphoblastic and myeloblastic leukemias with ALL-1 rearrangements.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-02       Impact factor: 11.205

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Review 6.  Application of serial analysis of gene expression to the study of human genetic disease.

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8.  In vitro transformation of primary human CD34+ cells by AML fusion oncogenes: early gene expression profiling reveals possible drug target in AML.

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9.  High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples.

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10.  Central review of cytogenetics is necessary for cooperative group correlative and clinical studies of adult acute leukemia: the Cancer and Leukemia Group B experience.

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