Genomic Profile and Clinical Outcomes in Acute Myeloid Leukemia with Monosomal Karyotype

The biology of Monosomal Karyotype Acute Myeloid Leukemia (MK AML) remains unclear, and its mutational profile has not been exclusively assessed. We sought to determine the genomic profile of MK AML patients and its correlation with overall survival (OS). We conducted a retrospective study involving 664 AML patients, identifying 156 (23.5%) with MK AML. The most common monosomies were -17 (41%) and -7 (37%), with 149 (95%) and 138 (88%) having myelodysplasia-related (<i>MR</i>) cytogenetics and complex karyotype (<i>CK</i>), respectively. Frequent mutations included <i>TP53</i> (69%), <i>DNMT3A</i> (19%), <i>TET2</i> (13%), and <i>IDH1</i> (7%). Patients with MK AML with <i>TP53</i> mutation (<i>TP53 Mut</i>) had shorter OS compared to those with <i>TP53</i> wild-type (<i>WT</i>) (median OS, 3.9 versus 9.2 months, <i>p</i> = 0.002). Our validation study further supports this finding. There was no significant difference in OS related to the presence or absence of CK (<i>p</i> = 0.252), <i>MR</i> mutations (<i>p</i> = 0.252), <i>DNMT3A</i> (<i>p</i> = 0.264), <i>TET2</i> (<i>p</i> = 0.264), and <i>IDH1</i> (<i>p</i> = 0.183) alterations. Co-mutation with novel EPI6 and TAZI signature alterations did not significantly impact OS among MK AML <i>TP53 Mut</i> patients, suggesting that <i>TP53 Mut</i> remains the dominant driver of outcome in this subgroup. In conclusion, MK AML is a genotypically diverse and high-risk group, with MK AML <i>TP53 Mut</i> indicating worse prognosis.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-06-18
DOI
https://doi.org/10.3390/ijms26125845
Citations
1
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
1.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic Profile and Clinical Outcomes in Acute Myeloid Leukemia with Monosomal Karyotype

Mojgan Zarif, Hong Chang, Hassan Sibai, Qianghua Zhou et al.
1 citations
International Journal of Molecular Sciences
Acute Myeloid Leukemia Research
1.77
article

Genomic Profile and Clinical Outcomes in Acute Myeloid Leukemia with Monosomal Karyotype

Mojgan Zarif, Hong Chang, Hassan Sibai, Qianghua Zhou, Cuihong Wei, Ehsan Bahrami Hezaveh, Winnie Lo, Collins Wangulu
article en
1 citations

Abstract

The biology of Monosomal Karyotype Acute Myeloid Leukemia (MK AML) remains unclear, and its mutational profile has not been exclusively assessed. We sought to determine the genomic profile of MK AML patients and its correlation with overall survival (OS). We conducted a retrospective study involving 664 AML patients, identifying 156 (23.5%) with MK AML. The most common monosomies were -17 (41%) and -7 (37%), with 149 (95%) and 138 (88%) having myelodysplasia-related (<i>MR</i>) cytogenetics and complex karyotype (<i>CK</i>), respectively. Frequent mutations included <i>TP53</i> (69%), <i>DNMT3A</i> (19%), <i>TET2</i> (13%), and <i>IDH1</i> (7%). Patients with MK AML with <i>TP53</i> mutation (<i>TP53 Mut</i>) had shorter OS compared to those with <i>TP53</i> wild-type (<i>WT</i>) (median OS, 3.9 versus 9.2 months, <i>p</i> = 0.002). Our validation study further supports this finding. There was no significant difference in OS related to the presence or absence of CK (<i>p</i> = 0.252), <i>MR</i> mutations (<i>p</i> = 0.252), <i>DNMT3A</i> (<i>p</i> = 0.264), <i>TET2</i> (<i>p</i> = 0.264), and <i>IDH1</i> (<i>p</i> = 0.183) alterations. Co-mutation with novel EPI6 and TAZI signature alterations did not significantly impact OS among MK AML <i>TP53 Mut</i> patients, suggesting that <i>TP53 Mut</i> remains the dominant driver of outcome in this subgroup. In conclusion, MK AML is a genotypically diverse and high-risk group, with MK AML <i>TP53 Mut</i> indicating worse prognosis.

International Journal of Molecular SciencesVol. 26(12)
University Health Network (CA), University of Toronto (CA), Princess Margaret Cancer Centre (CA)
Good health and well-being
Openalex Percentile: Top 15%
Acute Myeloid Leukemia Research
1.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.