Evidence map›Paper›PMID 40632867›Full record

ArticleScience advances2025

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Gege Gui, Molly A Bingham, Julius R Herzog, Abigail Wong-Rolle, Laura W Dillon, Meghali Goswami, Eddie Martin, Jason Reeves, Sean Kim, Arya Bahrami and 8 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Gege GuiFralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA.ORCID 0000-0002-4141-183X
Molly A BinghamThoracic and GI Malignancies Branch, CCR, NCI, Bethesda, MD, USA.ORCID 0000-0003-0486-0182
Julius R HerzogThoracic and GI Malignancies Branch, CCR, NCI, Bethesda, MD, USA.ORCID 0009-0002-2285-2549
Abigail Wong-RolleThoracic and GI Malignancies Branch, CCR, NCI, Bethesda, MD, USA.ORCID 0000-0002-3249-9323
Laura W DillonFralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA.ORCID 0000-0002-4877-9354
Meghali GoswamiLaboratory of Myeloid Malignancies, Hematology Branch, NHLBI, Bethesda, MD, USA.ORCID 0000-0001-6661-3190
Eddie MartinDepartment of Laboratory Medicine, NIH Clinical Center, Bethesda, MD, USA.ORCID 0009-0006-3496-6710
Jason ReevesNanoString Technologies Inc., Seattle, WA, USA.
Sean KimNanoString Technologies Inc., Seattle, WA, USA.
Arya BahramiNanoString Technologies Inc., Seattle, WA, USA.
Hermann F DegenhardtBiomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0000-0002-6234-4453
George ZakiBiomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Prajan DivakarNanoString Technologies Inc., Seattle, WA, USA.
Edward C SchromLymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA.ORCID 0000-0002-1793-6433
Katherine R CalvoDepartment of Laboratory Medicine, NIH Clinical Center, Bethesda, MD, USA.
Christopher S HouriganFralin Biomedical Research Institute, Virginia Tech FBRI Cancer Research Center, Washington, DC, USA.ORCID 0000-0002-6189-8067
Kasper D HansenDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-0086-0687
Chen ZhaoThoracic and GI Malignancies Branch, CCR, NCI, Bethesda, MD, USA.ORCID 0000-0002-1494-5983

Funding

Data Science Tools to Increase Insight in Genomics DataR35GM149323 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Kasper Daniel Hansen · 2023 to 2026
$1.8M
NIGMS NIH HHS R35 GM149323
6 · The paper itself

Abstract

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.

Indexed as

Bone MarrowImmunotherapyLeukemia, Myeloid, AcuteSingle-Cell AnalysisTranscriptomeAntibodies, Monoclonal, HumanizedDecitabineGene Expression ProfilingHumansTumor MicroenvironmentAntibodies, Monoclonal, HumanizedDecitabinepembrolizumab

Identifiers

PMID40632867
PMCPMC12239967

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.