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

• DOI: 10.1073/pnas.0509878103
• Publication Date: 2006-01-18T03:14:05Z
• Authors: Sanggyu Lee; 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
• Keywords: Expressed Sequence Tags; 0301 basic medicine; DNA, Complementary; Leukemia; Chromosomes, Human, Pair 11; Gene Expression Profiling; Computational Biology; Lewis X Antigen; Apoptosis; Cell Differentiation; hematopoietic cell differention; diagnostic microarray; Gene Expression Regulation, Neoplastic; Leukemia, Myeloid, Acute; 03 medical and health sciences; Gene Expression Regulation; Leukocytes, Mononuclear; Humans; RNA; RNA, Messenger; Chromosomes, Human, Pair 9; Myeloid Progenitor Cells; Gene Library; Oligonucleotide Array Sequence Analysis

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