Single‑cell RNA sequencing of t(8;21) acute myeloid leukemia for risk prediction

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Abstract

Single-cell RNA sequencing (scRNA-seq) of bone marrow or peripheral blood samples from patients with acute myeloid leukemia (AML) enables the characterization of heterogeneous malignant cells. A total of 87 cells from two patients with t(8;21) AML were analyzed using scRNA-seq. Clustering methods were used to separate leukemia cells into different sub-populations, and the expression patterns of specific marker genes were used to annotate these populations. Among the 31 differentially expressed genes in the cells of a patient who relapsed after hematopoietic stem cell transplantation, 13 genes were identified to be associated with leukemia. Furthermore, three genes, namely AT-rich interaction domain 2, lysine methyltransferase 2A and synaptotagmin binding cytoplasmic RNA interacting protein were validated as possible prognostic biomarkers using two bulk expression datasets. Taking advantage of scRNA-seq, the results of the present study may provide clinicians with several possible biomarkers to predict the prognostic outcomes of t(8;21) AML.

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Xiong, Q., Huang, S., Li, Y. H., Lv, N., Lv, C., Ding, Y., … Yu, L. (2020). Single‑cell RNA sequencing of t(8;21) acute myeloid leukemia for risk prediction. Oncology Reports, 43(4), 1278–1288. https://doi.org/10.3892/or.2020.7507

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