Impact of primary cancer history and molecular landscape in therapy-related myeloid neoplasms
t-MN exhibits distinct clinical and molecular profiles according to prior malignancy type. Intriguingly, our analysis reveals a distinct latency pattern in <i>TP53</i>-mutated cases, suggesting unique leukemogenic dynamics. Moreover, IPSS-M proved highly accurate in predicting t-MDS survival. Integrating molecular data into prognostic models enhances risk stratification and informs therapeutic strategies, potentially improving outcomes for t-MN patients. Further studies are needed to validate these findings and refine tailored treatment approaches.
Authors
- Federica Pilo (ORCID: https://orcid.org/0000-0002-3326-0429)
- Olga Mulas (ORCID: https://orcid.org/0000-0002-7487-3328)
- Paola Deias
- Clara Targhetta
- Alessandro Nanni Costa (ORCID: https://orcid.org/0000-0002-7726-2936)
- Martina Pettinau
- Giovanni Caocci (ORCID: https://orcid.org/0000-0002-6585-5187)
- Rodrigo Rojas (ORCID: https://orcid.org/0000-0002-0808-0426)
- Eugenia Piras
Institutions
- University of Cagliari (IT)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3389/fonc.2025.1563990
- Citations
- 3
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 5.31
Funders
- Università degli Studi di Cagliari