{Reference Type}: Journal Article
{Title}: Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures.
{Author}: Li XP;Song JT;Dai YT;Zhang WN;Zhao BT;Mao JY;Gao Y;Jiang L;Liang Y;
{Journal}: Front Immunol
{Volume}: 15
{Issue}: 0
{Year}: 2024
{Factor}: 8.786
{DOI}: 10.3389/fimmu.2024.1424933
{Abstract}: <B>UNASSIGNED: </B>Immunotherapies targeting T cells in solid cancers are revolutionizing clinical treatment. Novel immunotherapies have had extremely limited benefit for acute myeloid leukemia (AML). Here, we characterized the immune microenvironment of t(8;21) AML patients to determine how immune cell infiltration status influenced prognosis.<BR><B>UNASSIGNED: </B>Through multi-omics studies of primary and longitudinal t(8;21) AML samples, we characterized the heterogeneous immune cell infiltration in the tumor microenvironment and their immune checkpoint gene expression. Further external cohorts were also included in this research.<BR><B>UNASSIGNED: </B>CD8+ T cells were enriched and HAVCR2 and TIGIT were upregulated in the CD34+CD117dim%-High group; these features are known to be associated with immune exhaustion. Data integration analysis of single-cell dynamics revealed that a subset of T cells (cluster_2) (highly expressing GZMB, NKG7, PRF1 and GNLY) evolved and expanded markedly in the drug-resistant stage after relapse. External cohort analysis confirmed that the cluster_2 T-cell signature could be utilized to stratify patients by overall survival outcome.<BR><B>UNASSIGNED: </B>In conclusion, we discovered a distinct T-cell signature by scRNA-seq that was correlated with disease progression and drug resistance. Our research provides a novel system for classifying patients based on their immune microenvironment.