Single-cell RNA-seq reveals novel immune-associated biomarkers for predicting prognosis in AML patients with RUNX1::RUNX1T1
Acute myeloid leukemia (AML) with t(8;21)(q22;q22);(RUNX1::RUNX1T1) is highly heterogeneous and malignant. It has a relapse rate of nearly 40 %, resulting in clinical resistance or refractoriness to chemotherapy. Immune cells, particularly CD4(+) T and CD8(+) T lymphocytes, have been discovered to b...
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Veröffentlicht in: | International immunopharmacology 2023-12, Vol.125, p.111178-111178, Article 111178 |
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Sprache: | eng |
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Zusammenfassung: | Acute myeloid leukemia (AML) with t(8;21)(q22;q22);(RUNX1::RUNX1T1) is highly heterogeneous and malignant. It has a relapse rate of nearly 40 %, resulting in clinical resistance or refractoriness to chemotherapy. Immune cells, particularly CD4(+) T and CD8(+) T lymphocytes, have been discovered to be dysfunctional in this condition, and functional recovery shows promising efficiency in preclinical trials. Here, with single-cell transcriptomic data from de novo AML patients with RUNX1::RUNX1T1 and at various stages following disease progression, we investigated the genes correlated with T-cell proliferation and activation. In leukemia cells, ADA, AHCY, GPN3 and LTBR were markedly highly expressed compared to those in T-cell at diagnosis, and they tended to increase with disease progression. Additionally, we discovered that AHCY was an effective biomarker to predict the overall survival as well as relapse-free survival of AML patients with RUNX1::RUNX1T1. The correlation of AHCY with infiltrated immune cells and immune checkpoints was also investigated. AML cohorts from two other independent studies, TCGA LAML (n = 145) and the GEO dataset (n = 104), also demonstrated an inferior outcome for AML patients with high AHCY expression. In conclusion, our research revealed that AHCY might function as a novel indicator to predict the prognosis and efficiency of T-cell proliferation and activation in AML patients with RUNX1::RUNX1T1. |
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ISSN: | 1567-5769 1878-1705 |
DOI: | 10.1016/j.intimp.2023.111178 |