17p loss in TP53-non-mutated myeloid neoplasms confers survival comparable to TP53-mutated disease

Abstract Introduction: The 5th edition of the World Health Organization (WHO-5) and the International Consensus Classification (ICC) recognize TP53-mutated myeloid neoplasms (MN) as a distinct disease category, reflecting their uniformly dismal outcomes and the urgent need for novel therapeutic strategies. However, both classifications do not include TP53-non-mutatedcases with 17p (TP53 locus) loss, despite emerging evidence that such lesions may confer biologic and clinical behaviour similar to TP53-mutated disease. Our preliminary work demonstrated that 17p loss without TP53 mutation in therapy-related MN (t-MN) is associated with poor survival, approximating that of TP53-mutated cases (Hiwase et al., Blood 2023). Yet, the true frequency and prognostic impact of 17p loss in TP53-non-mutatedMN remains largely undefined, representing a critical gap in current disease classification and risk stratification. To address this critical knowledge gap, we aim to define the frequency and prognostic impact of 17p loss across the TP53 locus in TP53-non-mutatedMN, including both myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Finally, we compared the survival outcomes of this cohort with those of TP53-mutated MN. Method This international collaborative study was designed to evaluate the frequency and prognostic significance of 17p loss in TP53-non-mutatedMN. We included MDS and AML patients who had conventional cytogenetic analysis and did not have TP53-mutation(TP53-non-mutated)by next-generation sequencing (NGS) with sensitivity of ≥2% variant allele frequency (VAF). These cases were systematically reviewed for 17p loss using karyotype data, and where available, fluorescence in situ hybridization (FISH) and SNP array were used to confirm the 17p/TP53 locus deletion. To assess the clinical impact, we compared the overall survival (OS) of TP53-non-mutatedcases with 17p loss against a reference cohort of TP53-mutated MNs with VAF ≥2% (n=603) (South Australian Myeloid Neoplasm Registry (SA-MN) and Mayo Clinic, Rochester, USA). Results We screened 8876 cases of TP53-non-mutatedMN cases across an international cohort comprising the SA-MN (Australia; n=1046), the Düsseldorf MDS Registry (Germany; n=545), Munich Leukaemia Laboratory (Germany; n=5785), and King's College Hospital, (United Kingdom; n=1500). We identified 85 (1%) cases with 17p loss across the TP53 locus, representing the largest international cohort to define the frequency of 17p loss in TP53-non-mutatedMN. Complex karyotype was present in 40% (n=34) of cases, frequently co-occurring with del(5q) and del(7q). Clinically, most cases were MDS (n=69; 81.2%), including MDS-IB1 (n=19), MDS-IB2 (n=15), MDS-LB (n=16), t-MDS (n=8), MDS/MPN overlap (n=3), CCUS (n=1), or unspecified MDS (n=7), while AML accounted for 16 cases (18.8%). Among evaluable cases, the majority were male (78.6%) and had a median age of 66.5 years at diagnosis. The most frequent cytogenetic abnormality causing 17p loss across the TP53 locus was monosomy 17 (39%), followed by i(17q) (29%), add (17p) (14%), derivative chromosome 17 from unbalanced translocations (11%), and del(17p) (7%). The majority represented de-novo MN (60%), with t-MN in 40% of cases. Median OS of evaluable 17p loss in TP53-non-mutatedcases (n=28; 10.2 months) was poor and comparable to TP53-mutated MN (n=603, 8.7 months; P=0.42). Similarly, survival censored for a stem cell transplant was also equally poor (10.4 vs. 8.7 months; P=0.34) in both groups. Complex vs. non-complex karyotype (7.7 vs. 10.7 months; P=0.68) did not significantly influence the OS of 17p loss. Median OS of MDS cases tended to be longer compared to AML (16.7 vs. 9.1 months; P=0.11), although not statistically significant. Conclusion: In this largest international study, 1% of TP53-non-mutatedMNs harbor 17p loss across the TP53 locus, displaying poor survival equivalent to TP53-mutated disease. Exclusive reliance on NGS to identify TP53 mutations misses these high-risk structural TP53 abnormalities, which are readily detectable by conventional karyotyping. These findings provide compelling evidence to include TP53-non-mutatedcases with 17p loss in the next revision of the classifications, enabling accurate prognostication and equitable access to curative and clinical trials of novel therapies.

Authors

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-3858
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

17p loss in TP53-non-mutated myeloid neoplasms confers survival comparable to TP53-mutated disease

Naseema Gangat, Ulrich Germing, Pramila Krishnamurthy, Mithun Vinod Shah et al.
Blood
Acute Myeloid Leukemia Research
article

17p loss in TP53-non-mutated myeloid neoplasms confers survival comparable to TP53-mutated disease

Naseema Gangat, Ulrich Germing, Pramila Krishnamurthy, Mithun Vinod Shah, Beate Betz, Victoria Potter, Torsten Haferlach, Austin Kulasekararaj, G. D. Singhal, Henry Wood, Dariusz Ladon, Kevin Hung, Hussein Anani, Devendra Hiwase, Emmanuel S. Gnanamanickam, Shreyans Gandhi, Frances Aldridge, Kar Lok Kong, Ayalew Tefferi, Mili Shah, Cinthya Mendoza, Franceso Versino
article en

Abstract

Abstract Introduction: The 5th edition of the World Health Organization (WHO-5) and the International Consensus Classification (ICC) recognize TP53-mutated myeloid neoplasms (MN) as a distinct disease category, reflecting their uniformly dismal outcomes and the urgent need for novel therapeutic strategies. However, both classifications do not include TP53-non-mutatedcases with 17p (TP53 locus) loss, despite emerging evidence that such lesions may confer biologic and clinical behaviour similar to TP53-mutated disease. Our preliminary work demonstrated that 17p loss without TP53 mutation in therapy-related MN (t-MN) is associated with poor survival, approximating that of TP53-mutated cases (Hiwase et al., Blood 2023). Yet, the true frequency and prognostic impact of 17p loss in TP53-non-mutatedMN remains largely undefined, representing a critical gap in current disease classification and risk stratification. To address this critical knowledge gap, we aim to define the frequency and prognostic impact of 17p loss across the TP53 locus in TP53-non-mutatedMN, including both myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Finally, we compared the survival outcomes of this cohort with those of TP53-mutated MN. Method This international collaborative study was designed to evaluate the frequency and prognostic significance of 17p loss in TP53-non-mutatedMN. We included MDS and AML patients who had conventional cytogenetic analysis and did not have TP53-mutation(TP53-non-mutated)by next-generation sequencing (NGS) with sensitivity of ≥2% variant allele frequency (VAF). These cases were systematically reviewed for 17p loss using karyotype data, and where available, fluorescence in situ hybridization (FISH) and SNP array were used to confirm the 17p/TP53 locus deletion. To assess the clinical impact, we compared the overall survival (OS) of TP53-non-mutatedcases with 17p loss against a reference cohort of TP53-mutated MNs with VAF ≥2% (n=603) (South Australian Myeloid Neoplasm Registry (SA-MN) and Mayo Clinic, Rochester, USA). Results We screened 8876 cases of TP53-non-mutatedMN cases across an international cohort comprising the SA-MN (Australia; n=1046), the Düsseldorf MDS Registry (Germany; n=545), Munich Leukaemia Laboratory (Germany; n=5785), and King's College Hospital, (United Kingdom; n=1500). We identified 85 (1%) cases with 17p loss across the TP53 locus, representing the largest international cohort to define the frequency of 17p loss in TP53-non-mutatedMN. Complex karyotype was present in 40% (n=34) of cases, frequently co-occurring with del(5q) and del(7q). Clinically, most cases were MDS (n=69; 81.2%), including MDS-IB1 (n=19), MDS-IB2 (n=15), MDS-LB (n=16), t-MDS (n=8), MDS/MPN overlap (n=3), CCUS (n=1), or unspecified MDS (n=7), while AML accounted for 16 cases (18.8%). Among evaluable cases, the majority were male (78.6%) and had a median age of 66.5 years at diagnosis. The most frequent cytogenetic abnormality causing 17p loss across the TP53 locus was monosomy 17 (39%), followed by i(17q) (29%), add (17p) (14%), derivative chromosome 17 from unbalanced translocations (11%), and del(17p) (7%). The majority represented de-novo MN (60%), with t-MN in 40% of cases. Median OS of evaluable 17p loss in TP53-non-mutatedcases (n=28; 10.2 months) was poor and comparable to TP53-mutated MN (n=603, 8.7 months; P=0.42). Similarly, survival censored for a stem cell transplant was also equally poor (10.4 vs. 8.7 months; P=0.34) in both groups. Complex vs. non-complex karyotype (7.7 vs. 10.7 months; P=0.68) did not significantly influence the OS of 17p loss. Median OS of MDS cases tended to be longer compared to AML (16.7 vs. 9.1 months; P=0.11), although not statistically significant. Conclusion: In this largest international study, 1% of TP53-non-mutatedMNs harbor 17p loss across the TP53 locus, displaying poor survival equivalent to TP53-mutated disease. Exclusive reliance on NGS to identify TP53 mutations misses these high-risk structural TP53 abnormalities, which are readily detectable by conventional karyotyping. These findings provide compelling evidence to include TP53-non-mutatedcases with 17p loss in the next revision of the classifications, enabling accurate prognostication and equitable access to curative and clinical trials of novel therapies.

BloodVol. 146(Supplement 1)
Royal Adelaide Hospital (AU), Mayo Clinic (US), Düsseldorf University Hospital (DE), Munich Leukemia Laboratory (Germany) (DE), Institute of Human Genetics (PL), Mayo Clinic in Arizona (US), South Australian Health and Medical Research Institute (AU), Mayo Clinic in Florida (US), King's College Hospital (GB), Heinrich Heine University Düsseldorf (DE), The University of Adelaide (AU)
Openalex Percentile: Top 48%
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.