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2597 Characterization of Transcriptional Alterations Leading to Aberrant Myeloid Differentiation in Myelodysplastic Syndromes

Program: Oral and Poster Abstracts
Session: 602. Myeloid Oncogenesis: Basic: Poster II
Hematology Disease Topics & Pathways:
Research, Fundamental Science, bioinformatics, hematopoiesis, Diseases, computational biology, Myeloid Malignancies, Biological Processes, Technology and Procedures, machine learning
Sunday, December 11, 2022, 6:00 PM-8:00 PM

Aintzane Diaz-Mazkiaran, MSc1*, Jesús De la Fuente, MSc2*, Guillermo Serrano, BSc3,4*, Paula Garcia-Olloqui, PhD5*, Nerea Berastegui6*, Marina Ainciburu, MSc6,7*, Ana Alfonso Pierola, MD3,8,9*, Amaia Vilas-Zornoza, PhD10*, Patxi San Martin-Uriz, PhD11*, Jose Maria Lamo De Espinosa12*, Mikel San Julián13*, Pamela Acha14*, Francesc Solé, PhD15, Tamara Jimenez16*, Félix López Cadenas, MD17*, Maria Diez-Campelo, MD18*, Antonieta Molero, MD19*, Maria Julia Montoro, MD, PhD20*, David Valcarcel, MD, PhD21*, Teresa Ezponda22*, Mikel Hernáez, PhD4* and Felipe Prosper, MD23*

1Computational Biology Program, Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, IDISNA, Pamplona, Spain
2TECNUN School of Engineering, University of Navarra, San Sebastian, 20018, Spain., San Sebastian, Spain
3Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
4Computational Biology Program, Cima Universidad de Navarra, Pamplona, Spain
5Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, IDISNA, Pamplona, Spain
6Hematology/Oncology, CIMA Universidad de Navarra, IdISNA, Pamplona, Spain
7Centro de Investigación Biomédica en Red de Cáncer, CIBERONC, Pamplona, Spain
8Hematology and Cell Therapy Department, Clínica Universidad de Navarra, Pamplona, Spain
9Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
10Hemato-Oncology Program, Cima Universidad de Navarra, Pamplona, Spain
11Hematology-Oncology Program, Universidad de Navarra, CIMA, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
12Clinica Universidad De Navarra, Pamplona, ESP
13Clínica Universidad de Navarra, Pamplona, Spain
14MDS Research Group, Institut de Recerca Contra la Leucèmia Josep Carreras, Institut Català d’Oncologia-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain
15MDS Group. Institut de Recerca Contra la Leucèmia Josep Carreras (IJC), ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
16Department of Hematology. Salamanca-IBSAL university hospital, Salamanca, Spain
17Hematology, Hospital Universitario de Salamanca-IBSAL, Salamanca, España., Salamanca, Spain
18Department of Hematology. Salamanca-IBSAL university hospital, Salamanca, salamanca, Spain
19Department of Hematology, University Hospital Vall d’Hebron, University Autonoma of Barcelona (UAB), Experimental Hematology Unit, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
20Department of Hematology, University Hospital Vall d’Hebron, Experimental Hematology Unit, Vall d’Hebron Institute of Oncology (VHIO), University Autonoma of Barcelona (UAB), BARCELONA, Spain
21Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
22Department of Oncology-Hematology, Centro de Investigación Médica Aplicada (CIMA), Navarra university-IDISNA. Centro de Investigación Biomédica en Red de Cáncer, CIBERONC. Clínica Universidad de Navarra, Pamplona, Spain
23Department of Oncology-Hematology, Centro de Investigación Médica Aplicada (CIMA), Navarra university-IDISNA. Centro de Investigación Biomédica en Red de Cáncer, CIBERONC. Clínica Universidad de Navarra, Pamplona, Navarra, Spain

Background: Myelodysplastic syndromes (MDS) are a group of hematological malignancies characterized by ineffective hematopoiesis due to defective maturation and differentiation of hematopoietic stem and progenitor cells (HSPCs). To date, molecular studies of MDS have mainly focused on genomic alterations, but these lesions fail to fully explain the development of the disease.

Objective: In order to determine the factors involved in the abnormal differentiation of HSPCs in MDS, we compared the transcriptional alterations occurring along two myeloid differentiation lineages: the one giving rise to monocytes and granulocytes (HSC→CMP→GMP), and the one leading to megakaryocytes and erythrocytes (HSC→CMP→MEP).

Materials and methods: So as to identify transcriptional alterations, bulk RNA-sequencing was chosen above single cell, as its greater depth enables the identification of alterations that would be impossible to detect at the single cell level. This technique was performed on FACS-sorted populations (HSCs, CMPs, GMPs, MEPs). Cells were obtained from a group of elderly donors (median age of 70 years, n=12) and untreated MDS patients with single-/multi-lineage dysplasia (n=18).

Results: After determining the transcriptional profiles of HSPCs by bulk RNA-seq, an exhaustive computational analysis was conducted. Firstly, differentially expressed genes (DEGs) were determined between healthy and MDS cells using DEseq2. These studies showed a very limited overlap between DEGs of HSPCs in MDS, indicating that at each stage of early myeloid differentiation specific genes are being altered in the disease. However, 10 DEGs appeared to be consistently altered throughout early hematopoiesis, some of which had been previously associated with hematological malignancies. Secondly, by performing a novel statistical analysis termed disruption analysis, genes with altered expression dynamics in the MDS differentiation process were identified. These analyses showed 579 and 711 genes with altered dynamics in MDS cells relative to healthy cells throughout differentiation to GMP or MEP. The vast majority of these genes were globally disrupted either positively or negatively, meaning their expression was progressively lower or higher than the biologically expected at each step of the differentiation process. Functional analysis suggested that negatively altered genes participate in processes of great relevance for the differentiation and functionality of myeloid cells, such as: 1) neutrophil activation and degranulation in the GMP pathway, or 2) gas transport in the MEP pathway. Finally, in order to identify mechanistically altered gene regulatory networks (GRNs) in MDS, our recently developed TraRe algorithm was used. These studies identified regulons guided by transcription factors (TFs) that could be key to the behavior of MDS cells. Among them, ZNF350 and ZMAT2, TFs previously unrelated to the disease, appeared to decrease the expression of negatively altered genes that are critical for hematopoiesis, whereas SMARCD3 seemed to increase the expression of positively altered genes previously associated with cell migration and therapy resistance in acute myeloid leukemia (AML). These results suggest that these TFs might be causing transcriptomic dysregulation leading to the MDS phenotype. Finally, a CRISPR-Cas9 screening performed on MDS/AML cell lines showed that inhibition of ZNF350, ZMAT2 and SMARCD3 ameliorates the ability of these cells to differentiate properly.

Conclusions: Collectively, this work offers a new approach in the study of the molecular pathogenesis of MDS, and reveals novel transcriptional alterations and GRNs involved in the disease not described to date. These lesions could be key to understand the ineffective hematopoiesis of these patients and could represent potential therapeutic targets.

Disclosures: San Martin-Uriz: Illumina: Other: non-substantial shareholder; 10X Genomics: Other: non-substantial shareholder. Diez-Campelo: Bristol Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; BluePrint: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Molero: Oryzon Genomics: Consultancy.

*signifies non-member of ASH