Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms associated with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact using H3K27ac chromatin immunoprecipitation–sequencing and RNA-sequencing analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages such as low-risk MDS, high-risk MDS, and sAML. Unexpectedly, unsupervised clustering revealed a subset of patients with low-risk MDS displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and natural killer cell activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in significantly reduced overall survival. Functional studies demonstrated that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose patients with low-risk MDS to progression to high-risk MDS and, ultimately, sAML.

PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression / V. Vallelonga, F. Gandolfi, M. Zampini, E. Riva, G. Maggioni, D. Ventura, E. Saba, A. Termanini, S. Polletti, E. Prosperini, L. Crisafulli, A. Campagna, I. Ferrari, N. Pinocchio, G. Todisco, S. Pedretti, M. Calvi, C. Di Vito, D. Mavilio, N. Mitro, F. Ficara, M.G. Della Porta, S.M.L. Ghisletti. - In: BLOOD. - ISSN 0006-4971. - (2026). [Epub ahead of print] [10.1182/blood.2025030760]

PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression

V. Vallelonga
Co-primo
;
E. Riva;E. Saba;S. Pedretti;M. Calvi;C. Di Vito;D. Mavilio;N. Mitro;S.M.L. Ghisletti
Co-ultimo
2026

Abstract

Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms associated with an increased risk of progression to secondary acute myeloid leukemia (sAML). This study investigates the genomic correlates of disease progression in MDS by profiling active genomic regulatory regions and their transcriptional impact using H3K27ac chromatin immunoprecipitation–sequencing and RNA-sequencing analysis on CD34+ bone marrow progenitors cells isolated from a prospective cohort of 86 and 357 patients, respectively. Our analysis revealed distinct patterns of genomic region activation and transcriptional regulation across different disease stages such as low-risk MDS, high-risk MDS, and sAML. Unexpectedly, unsupervised clustering revealed a subset of patients with low-risk MDS displaying regulatory and transcriptional profiles similar to those of high-risk MDS and sAML, highlighting early molecular events that may predispose patients to disease progression. This subset is characterized by PU.1 genomic occupancy in regions linked to immune and inflammatory responses, increased T-cell and natural killer cell activation, and a higher frequency of SRSF2 mutations. Clinically, patients in this group exhibit greater susceptibility to infections and cardiovascular events, along with an elevated risk of disease progression, resulting in significantly reduced overall survival. Functional studies demonstrated that PU.1 inhibition suppresses MDS cell proliferation and clonogenicity, as impaired PU.1 binding inhibits the activation of key transcriptional programs involved in disease advancement. Collectively, these findings identify epigenetic factors that predispose patients with low-risk MDS to progression to high-risk MDS and, ultimately, sAML.
Settore BIOS-07/A - Biochimica
Settore BIOS-08/A - Biologia molecolare
Settore MEDS-09/B - Malattie del sangue
   Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications
   SYNTHIA
   European Commission
   Horizon Europe Framework Programme - HORIZON JU Research and Innovation Actions
   101172872

   Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases
   GenoMed4ALL
   European Commission
   Horizon 2020 Framework Programme - Research and Innovation action
   101017549
2026
15-gen-2026
Article (author)
File in questo prodotto:
File Dimensione Formato  
blood.2025030760.pdf

accesso aperto

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Licenza: Creative commons
Dimensione 9.05 MB
Formato Adobe PDF
9.05 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1236115
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex 0
social impact