Guotao Guan , Xiuxiu Wang , Xiuxin Li , Qi Wang , Xiuli Li , Xiaojun Sun , Liying Liu , Yunfeng Lu , Bingju Liu , Xinyu Li , Ping Zhao , Fei Gao , Lijun Chen , Lihua Zhao , Yunpeng Dai
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引用次数: 0
Abstract
Objective
The ETV6RUNX1 fusion is the most common genetic abnormality in childhood B-cell acute lymphoblastic leukemia (B-ALL), yet nearly 50 % of relapses occur in patients initially classified as low-risk with this alteration. This study aimed to unravel the underlying pathways driving relapse in ETV6RUNX1 positive B-ALL.
Methods
Single-cell RNA sequencing (scRNA-seq) was performed on a cohort of four B-ALL patients with the ETV6RUNX1 fusion (three newly diagnosed and one relapsed case, selected from 25 patients).
Results
we discovered that relapsed samples exhibited a decline in T cell populations, an increase in CD8 Tex cells and B cells, and a higher proportion of malignant cells. Gene enrichment analysis demonstrated that IFN-γ response signaling pathways and inflammatory responses were significantly enriched in newly diagnosed samples. Conversely, the relapsed samples showed enrichment in the oxidative phosphorylation and glycolysis pathways. Additionally, analysis of cellular interactions revealed that malignant B cells could interact with T cells through LGALS9-HAVCR2, potentially leading to the exhaustion of effector T cells. Moreover, NPDC1, LEF1, and ERG exhibited higher activity levels in malignant B cells from relapsed patients, highlighting their roles in the progression and maintenance of leukemia.
Conclusion
In summary, our study provides valuable insights into the potential causes of relapse in B-ALL patients with ETV6RUNX1, providing a foundation for the identification of prospective therapeutic targets.
期刊介绍:
MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.