Evidence map›Paper›PMID 42123320›Full record

ArticleInternational journal of molecular sciences2026

SRC as a Prognostic and Immunomodulatory Biomarker in Acute Myeloid Leukemia: A Multi-Omics Study.

Jirui Zhong, Xikun Liu, Xuekui Gu, Zenghui Liu

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
–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

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

4 authors.

Jirui ZhongThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.ORCID 0009-0000-7808-6842
Xikun LiuThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Xuekui GuThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Zenghui LiuThe First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.

Funding

National Natural Science Foundation of China No. 82474238the "Guben" Engineering First-Class Discipline Capacity Improvement Project of Guangzhou University of Chinese Medicine No. GZY2025GB0108
6 · The paper itself

Abstract

The bone marrow tumor microenvironment (TME) is critical for acute myeloid leukemia (AML) progression, immune evasion, and treatment resistance. SRC, a non-receptor tyrosine kinase involved in multiple oncogenic pathways, has not been systematically characterized in AML in relation to prognosis and immune regulation. We integrated bulk transcriptomic and single-cell RNA-sequencing datasets from TCGA, BeatAML, and GEO. Immune-related targets were identified using xCell-based immune scoring and weighted gene co-expression network analysis (WGCNA), followed by protein-protein interaction analysis and multi-algorithm machine-learning screening. We then evaluated SRC expression patterns, prognostic associations, immune microenvironment features, predicted drug sensitivity, single-cell differentiation dynamics, intercellular communication, and in silico virtual knockout perturbation (scTenifoldKnk). SRC emerged as the most robust hub gene after integration of WGCNA, PPI analysis, machine-learning feature selection, and survival screening. SRC was significantly upregulated in AML compared with normal controls and was independently associated with poor overall survival (HR = 1.231,

Indexed as

Biomarkers, TumorImmunomodulationLeukemia, Myeloid, Acutesrc-Family KinasesGene Expression ProfilingGene Expression Regulation, LeukemicGene Regulatory NetworksHumansMultiomicsPrognosisProtein Interaction MapsTranscriptomeTumor MicroenvironmentBiomarkers, Tumorsrc-Family Kinasesacute myeloid leukemiabioinformaticsimmunosuppressionprognosisSRCtumor microenvironment

Identifiers

PMID42123320
PMCPMC13163910

What OpenQuestion holds

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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 OpenQuestion graph.