利基
免疫疗法
转录组
骨髓
生物
计算生物学
癌症研究
医学
免疫学
免疫系统
基因
遗传学
生态学
基因表达
作者
Gege Gui,Molly A. Bingham,Jeremy Herzog,Abigail Wong-Rolle,Laura W. Dillon,Meghali Goswami,Eddie Martin,Jason Reeves,Sean Kim,Arya Bahrami,Hermann F. Degenhardt,George Zaki,Prajan Divakar,Edward C. Schrom,Katherine R. Calvo,Christopher S. Hourigan,Kasper D. Hansen,Chen Zhao
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-07-09
卷期号:11 (28): eadw4871-eadw4871
被引量:9
标识
DOI:10.1126/sciadv.adw4871
摘要
Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantation in refractory or relapsed acute myeloid leukemia (AML), immunotherapies have been explored in nontransplant settings. We applied a multiomic approach to examine bone marrow interactions in patients with AML treated with pembrolizumab and decitabine. Using extensively trained nuclear and membrane segmentation models, we achieved precise transcript assignment and deep learning-based image analysis. To address read-depth limitations, we integrated single-cell RNA sequencing with single-cell spatial transcriptomics from the same sample. Quantifying cell-cell distances at the edge level enabled more accurate tumor microenvironment analysis, revealing global and local immune cell enrichment near leukemia cells postpembrolizumab treatment, potentially linked to clinical response. Furthermore, ligand-receptor analysis indicated potential alterations in specific signaling pathways between leukemia and immune cells following immunotherapy treatment. These findings provide insights into immune interactions in AML and may inform therapeutic strategies.
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