Dataset: Acute myeloid leukemia with CEBPA double-mutations harbors in 76.8% of cases concomitant molecular mutations with TET2 and GATA2 alterations demonstrating strong prognostic impact
Acute myeloid leukemia (AML) with CEBPA mutations is determined as provisional entity in the current WHO. A difference in clinical...
Acute myeloid leukemia (AML) with CEBPA mutations is determined as provisional entity in the current WHO. A difference in clinical outcome between single- (sm) and double-mutated (dm) cases has been reported, whereupon dm cases were shown to be associated with longer overall survival (OS). The occurrence and prognostic impact of concomitant molecular mutations in addition to CEBPAdm has not been assessed until now. Here, we investigated a cohort of 95 AML CEBPAdm cases for concomitant mutations. TET2 was found to be the most frequent mutation (32/94, 34.0%), followed by GATA2 (20/95, 21.0%), WT1 (13/95, 13.7%), DNMT3A (9/94, 9.6%), ASXL1 (9/95, 9.5%), NRAS (8/95, 8.4%), KRAS (3/94, 3.2%), IDH1/2 (6/95, 6.3%), FLT3-ITD (6/95, 6.3%), FLT3-TKD (2/95, 2.1%), NPM1 (2/95, 2.1%), and RUNX1 (1/94). No mutation was detected in MLL-PTD and TP53. With respect to prognostic impact, we observed that those cases harboring additional mutations in TET2 showed significant worse survival than wild-type cases (P=0.035), whereas GATA2 mutated cases showed improved survival (P=0.032). Further, using gene expression microarray analysis we identified no clear different clustering within the CEBPAdm cases with the distinct concomitant mutated genes. In conclusion, we demonstrated that 76.8% of CEBPAdm cases harbored additional alterations in other molecular markers and that CEBPA is a suitable MRD marker to control therapy. Total cohort contains 95 cases, but expression data available for 38 cases which were analyzed on Affymetrix HG-U133 Plus 2.0 arrays: 8 CEBPAdm and GATA2 mutated cases, 12 CEBPAdm and TET2 mutated cases, 7 CEBPAdm and ASXL1 mutated cases (n=3 showed an additional TET2 mutation) and 11 CEBPAdm without mutations in GATA2, TET2, and ASXL1.
- Species:
- human
- Samples:
- 38
- Source:
- E-GEOD-42064
- PubMed:
- 23521373
- Updated:
- Dec.12, 2014
- Registered:
- Jul.12, 2014
Sample | CASE | MUTATION |
---|---|---|
GSM1031868 | MLL_00361 | GATA2 mut |
GSM1031867 | MLL_00360 | GATA2 mut |
GSM1031866 | MLL_00359 | GATA2 mut |
GSM1031865 | MLL_00358 | GATA2 mut |
GSM1031864 | MLL_00355 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031863 | MLL_00354 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031862 | MLL_00353 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM103186 | MLL_00352 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031860 | MLL_00351 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031859 | MLL_00350 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031858 | MLL_00349 | TET2 mut |
GSM1031857 | MLL_00348 | TET2 mut |
GSM1031856 | MLL_00347 | TET2 mut |
GSM1031855 | MLL_00346 | TET2 mut |
GSM1031854 | MLL_00345 | TET2 mut |
GSM1031853 | MLL_00344 | TET2 mut |
GSM1031852 | MLL_00343 | TET2 mut |
GSM103185 | MLL_00342 | TET2 mut |
GSM1031850 | MLL_00341 | TET2 mut |
GSM1031849 | MLL_00340 | TET2 mut |
GSM1031848 | MLL_00339 | TET2 mut |
GSM1031847 | MLL_00338 | TET2 mut |
GSM1031846 | MLL_00337 | GATA2 mut |
GSM1031845 | MLL_00336 | GATA2 mut |
GSM1031844 | MLL_00335 | GATA2 mut |
GSM1031843 | MLL_00334 | GATA2 mut |
GSM1031842 | MLL_00333 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM103184 | MLL_00332 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031840 | MLL_00331 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031839 | MLL_00330 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031838 | MLL_00329 | ASXL1/GATA2/TET2/DNMT3A wt |
GSM1031837 | MLL_00328 | ASXL1 mut/ TET2 mut |
GSM1031836 | MLL_00327 | ASXL1 mut/ TET2 mut |
GSM1031835 | MLL_00326 | ASXL1 mut/ TET2 mut |
GSM1031834 | MLL_00325 | ASXL1 mut |
GSM1031833 | MLL_00324 | ASXL1 mut |
GSM1031832 | MLL_00323 | ASXL1 mut |
GSM103183 | MLL_00322 | ASXL1 mut |