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4594 TP53-Mutated Therapy-Related Myeloid Neoplasms Are Associated with a Long Latency and Are More Prevalent in Patients with Primary Hematological Cancers Compared to Solid Tumors

Program: Oral and Poster Abstracts
Session: 637. Myelodysplastic Syndromes: Clinical and Epidemiological: Poster III
Hematology Disease Topics & Pathways:
Research, Clinical Research, Patient-reported outcomes
Monday, December 9, 2024, 6:00 PM-8:00 PM

Kevin Hung, MBBS, FRACP, FRCPA1, Aref Al-Kali, MD2, Carla Toop, PhD1*, Mrinal M. Patnaik, MD, MBBS2, Zoe Price, BSc (Hons)3*, Taxiarchis Kourelis, MD2, Daniel Thomas, MBBS, PhD1,3,4*, Morie A. Gertz, MD2, Hossein Anani4*, Wilson I. Gonsalves, MD5, Chung Hoow Kok, PhD, BSc6, Ayalew Tefferi, MD2, Devendra Hiwase, MD, MBBS, PhD, FRACP, FRCPA1,3,4 and Mithun V Shah, M.D., Ph.D.2

1Department of Haematology, Central Adelaide Local Health Network, Adelaide, SA, Australia
2Division of Hematology, Mayo Clinic, Rochester, MN
3South Australian Health and Medical Research Institute, Adelaide, SA, Australia
4Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
5Division of Hematology, Mayo School of Graduate Medical Education, Rochester, MN
6Centre for Cancer Biology and SA Pathology, Adelaide, Australia

Background: TP53 mutations (TP53mut) are highly prevalent in therapy-related myeloid neoplasms (t-MN) compared to de novo MN (35–40% vs 7–13%) and are associated with a poor outcome. Understanding the risk factors involved in the pathogenesis of TP53mut t-MN is critical to prevent its development.

Methods: We characterized t-MN cases by examining primary cancer type vs autoimmune disease diagnosis vs solid organ transplantation, treatment modality, and latency (interval between primary cancer/disease and t-MN diagnosis) to identify patient and disease-related factors associated with TP53mut t-MN. Allelic loss of TP53mut MN was defined according to International Consensus Classification (ICC) criteria (Arber et al., Blood 2022).

Results: Of 587 t-MN patients, 33% (n=194) had acute myeloid leukemia (t-AML) and 67% (n=393) had myelodysplastic syndrome (t-MDS, blasts<20%). Primary diagnosis comprised of 243 (41.6%) solid cancers and 300 (51.4%) hematological malignancies, while 7% (n=41) of t-MN cases had autoimmune disease or underwent solid organ transplant.

Overall, 94 (16.1%) patients received prior radiotherapy (RT) alone and 75.6% (n=444) received chemotherapy (CT) with/without RT. 109 patients (18.7%) underwent autologous stem cell transplant (ASCT). The median latency from primary diagnosis to t-MN was 83.2 months (IQR 41.3, 153.2), and there was a trend towards shorter latency in t-AML compared to t-MDS (70.5 vs 85.8 months; P=0.07). Of the t-MN patients, 280 (47.7%) harbored TP53mut, which was associated with significantly poorer survival compared to wild-type (TP53wt) t-MN (9.7 vs 21.9 months; P <0.001). In contrast to TP53wt (59.0% vs 41.0%), the majority of TP53mut t-MN presented with t-MDS vs t-AML (75.7% vs 24.3%; P <0.001).

According to ICC criteria, multi-hit MDS (n=131; 47.8%) was the most common entity, followed by AML (n=68; 24.8%), MDS/AML (n=34; 12.4%), and single-hit MDS (n=8, 2.9%). Poor prognostic karyotype changes e.g., del 5q, del 7q, complex karyotype and monosomal karyotype, were more prevalent in TP53mut compared to TP53wt t-MN. Co-mutations in other genes were enriched in TP53wt t-MN.

As TP53mut t-MN is associated with a dismal outcome, we assessed the factors associated with its development. There were no significant differences in median age at primary cancer/disease diagnosis (59.0 vs 59.9 years; P=0.4) or gender (females 43.3% vs 39.3%; P=0.3) between TP53mut and TP53wt t-MN. However, TP53mut patients were older at t-MN diagnosis (69 vs 67.4 years; P=0.05). Correlations between gene mutations and prior malignancies revealed a significant association between TP53mut and hematological primary cancers (odds ratio [OR] 1.6; P=0.006), especially multiple myeloma (MM, OR 4.9; P<0.001) and lymphoproliferative disease (LPD, OR 2.0; P=0.013). Among solid cancers, head and neck malignancies were significantly associated with increased risk of developing TP53mut t-MN (OR 7.7; P=0.01). Compared to RT alone, ASCT (OR 2.2; P=0.004) and CT (OR 2.0; P=0.008) were associated with an increased risk of TP53mut t-MN.

Recent studies indicate that CT/RT confer a selective advantage to preexisting TP53mut hematopoietic stem and progenitor cells, allowing clonal expansion/evolution and progression to t-MN. We hypothesized that TP53mut t-MN with high-risk disease features is a function of TP53mut clonal expansion/evolution rate and would predict latency between primary cancer and t-MN. Indeed, the latency between primary cancer and t-MN diagnosis was longer in TP53mut (87.8 months, IQR 45.5, 154.1) compared to TP53wt (74.7 months, IQR 37.5, 146.9 months) t-MN (P=0.05). Interestingly, 54% and 29% of TP53mut t-MN had a latency of ≥5 and ≥10 years, respectively. There were no correlations between latency and TP53 variant allele frequency (VAF) (r=0.38 and P=0.7) or between TP53mut t-MDS and t-AML (85.2 vs 109.3 months; P=0.9). Together, latency between primary cancer and t-MN was not associated with TP53mut t-MN phenotype, VAF or other poor-risk disease features.

Conclusion: Hematological malignancies, especially MM and LPD treated with high-dose CT, were strongly associated with TP53mut t-MN development, highlighting the importance of careful and ongoing screening in this population. Also, the long latency of TP53mut t-MN provides an opportunity to devise effective surveillance strategies and preventative interventions long before TP53mut t-MN development.

Disclosures: Patnaik: Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Solu therapeutics: Research Funding; Epigenetix: Research Funding; Kura Oncology: Research Funding; Polaris: Research Funding; StemLine: Research Funding. Kourelis: Novartis: Research Funding; Pfizer: Research Funding. Gertz: Abbvie: Other: personal fees for Data Safety Monitoring board ; Prothena: Other: personal fees; Janssen: Other: personal fees; Johnson & Johnson: Other: personal fees; Ionis/Akcea: Honoraria; Alnylym: Honoraria; Sanofi: Other: personal fees; Dava Oncology: Honoraria; Astra Zeneca: Honoraria; Alexion: Honoraria; Medscape: Honoraria. Hiwase: Abbvie: Honoraria; Otsuka: Honoraria; Astella Pharma: Honoraria.

*signifies non-member of ASH