Abstract P02: Uncovering Tailored Therapies for Acute Myeloid Leukemia in Children with Down Syndrome
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Résumé
Abstract Acute megakaryoblastic leukemia (AMKL), a subtype of acute myeloid leukemia (AML), is a rare hematological malignancy affecting children with Down syndrome (T21-AML) or without (non-DS-AMKL). T21-AML and non-DS AMKL are characterized by malignant megakaryoblasts that harbour distinct genetic profiles and prognoses. Prognoses for T21-AML are favourable; however, refractory/relapsed cases are met with dismal cure rates that are in part driven by drug resistance. Moreover, the paucity of patient samples introduces a challenge for studying this rare cancer. Thus, there is an urgency to develop a well-characterized model for uncovering novel therapies. Our group generated T21-AML patient xenograft models (PDX) by using primary DS patient samples, classified either as high- or low-risk according to co-occurring genetic alterations. Primary cells were transplanted into immunodeficient SGM3 mice. Through this method, we observed latencies between 2.9 to 3.0 weeks and 11.9 to 16.7 weeks for high-risk and low-risk primary mice, respectively. Engraftment and phenotypic characterization were done through flow cytometry and cytology. Phenotypic and molecular characterization of blasts from the bone marrow and spleen confirmed that the models recapitulate the disease. This was evident by the expression of previously characterized megakaryopoietic markers such as CD41 and CD61 and gene expression signatures correlating with leukemic patient profiles. Additionally, the models were sustained through serial transplantation for up to three generations. To monitor disease progression non-invasively, a luciferase-based bioluminescent model was engineered. Following optimization of cell culture conditions, high-throughput chemical screens against a library of 2,000 FDA-approved compounds were performed using a CellTiterGlo cell viability assay (n=1 high- and n=1 low-risk T21-AML PDX, along with normal CD34+ hematopoietic stem and progenitor cells/HSPC from cord blood). Drugs were identified as hits if they reduced the viability of leukemic cells by >75% with or without sparing normal CD34+ HSPC. Hits were validated using dose-response curve analyses and IC50 values were determined using a CellTiterGlo assay. We identified navitoclax, an apoptotic inducer with broad affinity to BCL-2, BCL-XL and BCL-W, BCL-XL-specific inhibitors, and other compound classes as potential therapeutic vulnerabilities. T21-AML PDX were resistant to venetoclax (e.g., IC50 >10µM), a selective inhibitor of BCL-2 currently used in pediatric relapsed/refractory malignancies. Overall, children affected by DS-AMKL generally fare favourable outcomes but endure long-term toxicities resulting from exposure to conventional genotoxic agents. Therefore, we generated a model of study to understand specific genotypes that would aid in the development of tailored therapies. Additionally, drug studies demonstrate BCL-XL as a therapeutic vulnerability as opposed to BCL-2. Our approach allows us to leverage the molecular understanding of this leukemia and discover a new realm of targeted therapeutics. Citation Format: Billy Ta, Emma Rose Cheetham, Sophie Cardin, Verena Gress, Anne-Cécile Soufflet, Nehme Hachem, Melanie Bilodeau, Sonia Cellot, Carolina Marmolejo, Louise Laramée. Uncovering Tailored Therapies for Acute Myeloid Leukemia in Children with Down Syndrome [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P02.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
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