AUTHOR=Li Xue-Ping , Song Jiang-Tao , Dai Yu-Ting , Zhang Wei-Na , Zhao Bai-Tian , Mao Jia-Ying , Gao Yan , Jiang Lu , Liang Yang
TITLE=Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures
JOURNAL=Frontiers in Immunology
VOLUME=15
YEAR=2024
URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1424933
DOI=10.3389/fimmu.2024.1424933
ISSN=1664-3224
ABSTRACT=IntroductionImmunotherapies 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.
MethodsThrough 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.
ResultsCD8+ 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.
DiscussionIn 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.