Evidence map›Paper›PMID 42883947›Full record

ArticleInternational journal of molecular sciences2026

Inflammatory Network Remodeling in AML Is Driven by Neutrophil-Centric Self-Amplifying Circuits.

Shuqing Wang, Kaini Shen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shuqing WangDepartment of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Kaini ShenDepartment of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Funding

Fundamental Research Funds for the Central Universities, Peking Union Medical College 3332024014National Natural Science Foundation of China 82400277
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) progression involves remodeling of the bone marrow inflammatory microenvironment, yet prior studies have focused on individual cytokines rather than coordinated network-level communication. This study aimed to systematically map inflammatory network reprogramming in AML and develop a network-derived prognostic tool. Single-cell RNA sequencing was performed on bone marrow samples from three newly diagnosed AML patients and six healthy donors (47,525 cells); ligand-receptor communication was then analyzed using CellChat. Communication dominance shifted from T-cells to myeloid populations, with networks restructured into neutrophil-centric computationally predicted self-amplifying circuits, exemplified by CXCL8-CXCR2 and CCL3-CCR1 axes. Despite the limited sample size of the scRNA-seq cohort (3 AML patients and 6 healthy donors), which may limit the generalizability of the detailed cellular and network findings, the subsequent protein-level Luminex validation in a larger cohort of 46 patients and 26 healthy controls provides robust support for the key findings. An inflammatory risk score (IRS) was constructed using LASSO-penalized Cox regression and evaluated for prognostic performance and integration with the European LeukemiaNet 2022 (ELN2022) classification. Luminex profiling confirmed dysregulation of key mediators, including reduced CCL3, CCL4, CXCL8, and IL-1A together with elevated CXCL10 in AML, and revealed substantial de-modularization of the cytokine correlation network. The IRS, based on CXCL8, CCL2, and IL-1A, achieved a concordance index of 0.729 for overall survival and stratified the ELN2022 intermediate-risk category into distinct prognostic subgroups. Inflammatory network pattern analysis provides a complementary dimension to genetic risk stratification in AML. The IRS captures microenvironment-derived prognostic information not reflected by current classification systems, though prospective multicenter validation is essential before clinical application.

Indexed as

InflammationLeukemia, Myeloid, AcuteNeutrophilsFemaleHumansMalePrognosisSingle-Cell Gene Expression AnalysisTumor Microenvironmentacute myeloid leukemiainflammatory microenvironment reprogramminginflammatory risk scoreprognosis

Identifiers

PMID42883947
PMCPMC13665120

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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 OpenQuestion graph.