SINGLE CELL DISSECTION OF DEVELOPMENTAL ORIGINS AND TRANSCRIPTIONAL HETEROGENEITY IN B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA.
Ilaria IacobucciAndy G X ZengQingsong GaoLaura Garcia-PratPradyuamna BaviskarSayyam ShahAlex MurisonVeronique VoisinMichelle Chan-Seng-YueCheng ChengChunxu QuColin BaileyMatthew LearMatthew T WitkowskiXin ZhouAiren Zaldivar PerazaKarishma GangwaniAnjali S AdvaniSelina M LugerMark R LitzowJacob M RoweElisabeth M PaiettaWendy StockJohn E DickCharles G MullighanPublished in: bioRxiv : the preprint server for biology (2023)
Sequencing of bulk tumor populations has improved genetic classification and risk assessment of B-ALL, but does not directly examine intratumor heterogeneity or infer leukemia cellular origins. We profiled 89 B-ALL samples by single-cell RNA-seq (scRNA-seq) and compared them to a reference map of normal human B-cell development established using both functional and molecular assays. Intra-sample heterogeneity was driven by cell cycle, metabolism, differentiation, and inflammation transcriptional programs. By inference of B lineage developmental state composition, nearly all samples possessed a high abundance of pro-B cells, with variation between samples mainly driven by sub-populations. However, ZNF384- r and DUX4- r B-ALL showed composition enrichment of hematopoietic stem cells, BCR::ABL1 and KMT2A -r ALL of Early Lymphoid progenitors, MEF2D -r and TCF3::PBX1 of Pre-B cells. Enrichment of Early Lymphoid progenitors correlated with high-risk clinical features. Understanding variation in transcriptional programs and developmental states of B-ALL by scRNA-seq refines existing clinical and genomic classifications and improves prediction of treatment outcome.
Keyphrases
- single cell
- rna seq
- cell cycle
- acute lymphoblastic leukemia
- high throughput
- stem cells
- risk assessment
- gene expression
- transcription factor
- cell proliferation
- tyrosine kinase
- bone marrow
- endothelial cells
- public health
- oxidative stress
- copy number
- machine learning
- chronic myeloid leukemia
- allogeneic hematopoietic stem cell transplantation
- deep learning
- genome wide
- single molecule
- induced pluripotent stem cells
- microbial community
- mesenchymal stem cells
- cell therapy