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Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures.
Li, Xue-Ping; Song, Jiang-Tao; Dai, Yu-Ting; Zhang, Wei-Na; Zhao, Bai-Tian; Mao, Jia-Ying; Gao, Yan; Jiang, Lu; Liang, Yang.
Afiliação
  • Li XP; Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Song JT; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Dai YT; Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Zhang WN; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Zhao BT; Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Mao JY; Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou, China.
  • Gao Y; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Jiang L; Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Liang Y; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Front Immunol ; 15: 1424933, 2024.
Article em En | MEDLINE | ID: mdl-39086485
ABSTRACT

Introduction:

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.

Methods:

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.

Results:

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.

Discussion:

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromossomos Humanos Par 8 / Leucemia Mieloide Aguda / Análise de Célula Única / Microambiente Tumoral Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromossomos Humanos Par 8 / Leucemia Mieloide Aguda / Análise de Célula Única / Microambiente Tumoral Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China