Single-cell sequencing applications in acute myeloid leukemia.
| Autor: | Lecornec N; Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Université Paris Cité, Paris, France.; Département d'Immuno-Hématologie Pédiatrique, Hôpital Robert-Debré, Assistance Publique Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France., Duchmann M; Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Université Paris Cité, Paris, France.; Laboratoire d'Hématologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France., Itzykson R; Génomes, Biologie Cellulaire et Thérapeutique U944, INSERM, CNRS, Université Paris Cité, Paris, France.; Département Hématologie et Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France. |
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| Jazyk: | angličtina |
| Zdroj: | Leukemia & lymphoma [Leuk Lymphoma] 2024 Nov 04, pp. 1-15. Date of Electronic Publication: 2024 Nov 04. |
| DOI: | 10.1080/10428194.2024.2422833 |
| Abstrakt: | Acute myeloid leukemia (AML) is a heterogeneous group of malignancies with poor prognosis. AML result from the proliferation of immature myeloid cells blocked at a variable stage of differentiation. Beyond inter-patient heterogeneity, AMLs are characterized by genetic and phenotypic intra-patient heterogeneity. Despite major advances in deciphering AML biology with bulk sequencing studies, pivotal questions remain unanswered. Analyses at the single-cell level could thus transform our understanding of these neoplasms. We review recent progresses in single-cell sequencing technologies from cell processing to bioinformatic pipelines. We next discuss how single-cell applications have helped understand the genetic and functional intra-leukemic heterogeneity, emphasizing aspects related to leukemic stem cells, clonal evolution and measurable residual disease (MRD) monitoring. We finally delineate how single-cell technologies could be implemented in routine clinical practice to improve patient management. |
| Databáze: | MEDLINE |
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