Low-VAF TP53-Mutated AML Displays Distinct Biological Features in a Single-Center Cohort

<b>Background</b>: The International Consensus Classification (ICC) currently proposes an empirical variant allele frequency (VAF) threshold of 10% to define TP53-mutated acute myeloid leukemia (AML) and to distinguish oncogenic driver from concomitant mutations. However, the optimal cutoff remains uncertain, and the biological and clinical features of low-VAF cases have not been systematically characterized. <b>Methods</b>: In this single-center retrospective cohort study, we stratified TP53-mutated AML by a 10% VAF cutoff and compared clinical characteristics, cytogenetic and molecular profiles, and survival outcomes between groups. <b>Results</b>: The VAF < 10% group exhibited a distinctive profile: fewer adverse cytogenetic abnormalities [complex karyotype, -7, -5/del(5q)], a more adverse molecular profile (EVI1 overexpression, greater co-mutation burden, higher frequencies of ASXL1 and SRSF2 mutations), and a higher proportion of CD34<sup>+</sup>CD38<sup>-</sup> blast immunophenotype. TP53 hotspot mutations were also more common. Survival analyses showed poor prognosis in both groups, and the VAF < 10% group showed numerically longer survival without statistical significance, indicating no clear survival advantage for low VAF. <b>Conclusions</b>: These data support the clinical relevance of the ICC 10% threshold. TP53-mutated AML with VAF < 10% may represent a biologically distinct subgroup. Further multicenter studies with larger cohorts are needed to validate and refine the VAF threshold for prognostic evaluation and individualized management.

Authors

Institutions

Publication Details

Journal
Biomedicines
Published
2026-01-14
DOI
https://doi.org/10.3390/biomedicines14010180
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-VAF TP53-Mutated AML Displays Distinct Biological Features in a Single-Center Cohort

Wei Fang, Shun Zhang, Yingjun Chang, Lü Xi et al.
Biomedicines
Acute Myeloid Leukemia Research
article

Low-VAF TP53-Mutated AML Displays Distinct Biological Features in a Single-Center Cohort

Wei Fang, Shun Zhang, Yingjun Chang, Lü Xi, Xiaohang Ma, Xiaojun Huang, Qian Jiang, Hao Jiang, Xiaosu Zhao, Kainan Zhang
article en

Abstract

<b>Background</b>: The International Consensus Classification (ICC) currently proposes an empirical variant allele frequency (VAF) threshold of 10% to define TP53-mutated acute myeloid leukemia (AML) and to distinguish oncogenic driver from concomitant mutations. However, the optimal cutoff remains uncertain, and the biological and clinical features of low-VAF cases have not been systematically characterized. <b>Methods</b>: In this single-center retrospective cohort study, we stratified TP53-mutated AML by a 10% VAF cutoff and compared clinical characteristics, cytogenetic and molecular profiles, and survival outcomes between groups. <b>Results</b>: The VAF < 10% group exhibited a distinctive profile: fewer adverse cytogenetic abnormalities [complex karyotype, -7, -5/del(5q)], a more adverse molecular profile (EVI1 overexpression, greater co-mutation burden, higher frequencies of ASXL1 and SRSF2 mutations), and a higher proportion of CD34<sup>+</sup>CD38<sup>-</sup> blast immunophenotype. TP53 hotspot mutations were also more common. Survival analyses showed poor prognosis in both groups, and the VAF < 10% group showed numerically longer survival without statistical significance, indicating no clear survival advantage for low VAF. <b>Conclusions</b>: These data support the clinical relevance of the ICC 10% threshold. TP53-mutated AML with VAF < 10% may represent a biologically distinct subgroup. Further multicenter studies with larger cohorts are needed to validate and refine the VAF threshold for prognostic evaluation and individualized management.

BiomedicinesVol. 14(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking University People's Hospital (CN), Center for Life Sciences (CN)
Peking University
No poverty
Openalex Percentile: Top 89%
Acute Myeloid Leukemia Research
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.