STANDARD_NAME ROSS_AML_OF_FAB_M7_TYPE SYSTEMATIC_NAME M4621 COLLECTION C2:CGP MSIGDB_URL https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/ROSS_AML_OF_FAB_M7_TYPE NAMESPACE AFFY_HG_U133 DESCRIPTION_BRIEF Top 100 probe sets for pediatric acute myeloid leukemia (AML) subtype FAB M7 (also known as acute megakaryoblastic leukemia, AMKL). DESCRIPTION_FULL Contemporary treatment of pediatric acute myeloid leukemia (AML) requires the assignment of patients to specific risk groups. To explore whether expression profiling of leukemic blasts could accurately distinguish between the known risk groups of AML, we analyzed 130 pediatric and 20 adult AML diagnostic bone marrow or peripheral blood samples using the Affymetrix U133A microarray. Class discriminating genes were identified for each of the major prognostic subtypes of pediatric AML, including t(15;17)[PML-RARalpha], t(8;21)[AML1-ETO], inv(16) [CBFbeta-MYH11], MLL chimeric fusion genes, and cases classified as FAB-M7. When subsets of these genes were used in supervised learning algorithms, an overall classification accuracy of more than 93% was achieved. Moreover, we were able to use the expression signatures generated from the pediatric samples to accurately classify adult de novo AMLs with the same genetic lesions. The class discriminating genes also provided novel insights into the molecular pathobiology of these leukemias. Finally, using a combined pediatric data set of 130 AMLs and 137 acute lymphoblastic leukemias, we identified an expression signature for cases with MLL chimeric fusion genes irrespective of lineage. Surprisingly, AMLs containing partial tandem duplications of MLL failed to cluster with MLL chimeric fusion gene cases, suggesting a significant difference in their underlying mechanism of transformation. PMID 15226186 GEOID AUTHORS Ross ME,Mahfouz R,Onciu M,Liu HC,Zhou X,Song G,Shurtleff SA,Pounds S,Cheng C,Ma J,Ribeiro RC,Rubnitz JE,Girtman K,Williams WK,Raimondi SC,Liang DC,Shih LY,Pui CH,Downing JR CONTRIBUTOR Jean-Pierre Bourquin CONTRIBUTOR_ORG Dana-Farber Cancer Institute EXACT_SOURCE Table S11 FILTERED_BY_SIMILARITY EXTERNAL_NAMES_FOR_SIMILAR_TERMS EXTERNAL_DETAILS_URL SOURCE_MEMBERS 200642_at,201147_s_at,201148_s_at,201149_s_at,201150_s_at,201830_s_at,202218_s_at,202279_at,202620_s_at,202753_at,202949_s_at,202983_at,203196_at,203242_s_at,203243_s_at,203258_at,203382_s_at,203486_s_at,203613_s_at,204321_at,204331_s_at,204416_x_at,204720_s_at,204904_at,205127_at,205128_x_at,205262_at,205352_at,205389_s_at,205390_s_at,206077_at,206145_at,206146_s_at,206283_s_at,206306_at,206493_at,206494_s_at,206655_s_at,206702_at,206793_at,207194_s_at,207389_at,207808_s_at,208029_s_at,208352_x_at,208353_x_at,208653_s_at,208767_s_at,208970_s_at,208971_at,209049_s_at,209218_at,209585_s_at,209586_s_at,209710_at,209839_at,209881_s_at,210036_s_at,210088_x_at,210215_at,210395_x_at,210446_at,210504_at,210532_s_at,210621_s_at,210762_s_at,210907_s_at,210986_s_at,210987_x_at,211005_at,211254_x_at,211828_s_at,212224_at,212372_at,212397_at,212412_at,212694_s_at,213088_s_at,213107_at,213553_x_at,214039_s_at,215813_s_at,216054_x_at,216804_s_at,216925_s_at,216956_s_at,217845_x_at,217963_s_at,218111_s_at,218711_s_at,219215_s_at,219546_at,219737_s_at,220994_s_at,221021_s_at,221488_s_at,221704_s_at,221896_s_at,40687_at,59644_at GENE_SYMBOLS SOD1,TIMP3,TIMP3,TIMP3,TIMP3,NET1,FADS2,ATP5MJ,PLOD2,PSMD6,FHL2,HLTF,ABCC4,PDLIM5,PDLIM5,DRAP1,APOE,ARMC8,NDUFB6,NEO1,MRPS12,APOC1,DNAJC6,GJA4,PTGS1,PTGS1,KCNH2,SERPINI1,ANK1,ANK1,KEL,RHAG,RHAG,TAL1,RYR3,ITGA2B,ITGA2B,GP1BB,TEK,PNMT,ICAM4,GP1BA,PROS1,LAPTM4B,ANK1,ANK1,CD164,LAPTM4B,UROD,UROD,ZMYND8,SQLE,MINPP1,PRUNE1,GATA2,DNM3,LAT,KCNH2,MYL4,TFR2,MYL4,GATA1,KLF1,ATP5MJ,RASA1,DLC1,PDCD10,TPM1,TPM1,LAT,RHAG,TNIK,ALDH1A1,MYH10,RDX,PDLIM5,PCCB,DNAJC9,TNIK,APOC1,LAPTM4B,PTGS1,MYL4,PDLIM5,TAL1,ITGA2B,HIGD1A,BEX3,CMAS,CAVIN2,SLC39A4,BMP2K,PCDH9,STXBP6,CTNNBL1,CUTA,VPS37B,HIGD1A,GJA4,BMP2K FOUNDER_NAMES