MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia

Nature Genetics 30, pp 41 - 47 (2002). Published: 2001.12.02

Scott A. Armstrong, Jane E. Staunton, Lewis B. Silverman, Rob Pieters, Monique L. den Boer, Mark D. Minden, Stephen E. Sallan, Eric S. Lander, Todd R. Golub, and Stanley J. Korsemeyer

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Acute lymphoblastic leukemias carrying a chromosomal translocation involving the mixed-lineage leukemia gene (MLL, ALL1, HRX) have a particularly poor prognosis. Here we show that they have a characteristic, highly distinct gene expression profile that is consistent with an early hematopoietic progenitor expressing select multilineage markers and individual HOX genes. Clustering algorithms reveal that lymphoblastic leukemias with MLL translocations can clearly be separated from conventional acute lymphoblastic and acute myelogenous leukemias. We propose that they constitute a distinct disease, denoted here as MLL, and show that the differences in gene expression are robust enough to classify leukemias correctly as MLL, acute lymphoblastic leukemia or acute myelogenous leukemia. Establishing that MLL is a unique entity is essential, as it mandates the examination of selectively expressed genes for urgently needed molecular targets.

Keywords: MLL leukemia

Supplemental Data

Description Link/Filename
File info MLL_supplemental_file_info.txt
Scan ids, scaling factors and figure key scaling_factors_and_fig_key.txt
Expression data, scaled (Affymetrix expression_data.txt
Expression data as above, with Affymetrix A/P calls expression_data_plus_APcalls.txt
Raw data (CEL files) ALL scans part 1 (40MB) mll_scans_ALL1.tar.gz
Raw data (CEL files) ALL scans part 2 (41MB) mll_scans_ALL2.tar.gz
Raw data (CEL files) MLL scans part 1 (47MB) mll_scans_MLL1.tar.gz
Raw data (CEL files) MLL scans part 2 (47MB) mll_scans_MLL2.tar.gz
Raw data (CEL files) AML scans part 1 (33MB) mll_scans_AML1.tar.gz
Raw data (CEL files) AML scans part 2 (34MB) mll_scans_AML2.tar.gz