Evidence map›Paper›PMID 40873580›Full record

ArticleFrontiers in immunology2025

Identification of the prognostic effect of mitophagy-related genes in acute myeloid leukemia.

Fan Xuan, Wenyuan Zhu, Baoxi Zhang, Hui Zhao, Chaonan Li, Xiaoli Wu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Fan XuanDepartment of Pediatrics, Hematology and Oncology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Wenyuan ZhuGraduate School, Hebei Medical University, Shijiazhuang, Hebei, China.
Baoxi ZhangDepartment of Pediatrics, Hematology and Oncology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Hui ZhaoDepartment of Pediatrics, Hematology and Oncology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Chaonan LiDepartment of Pediatrics, Hematology and Oncology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaoli WuDepartment of Pediatrics, Hematology and Oncology, Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitophagy has been implicated in the pathogenesis of acute myeloid leukemia (AML), yet its precise molecular mechanisms remain poorly understood. Understanding the roles of mitophagy-related genes (MRGs) may provide new insights into AML classification, prognosis, and therapeutic response. Methods: We analyzed 72 MRGs using three independent AML datasets (TCGA-LAML, GSE24395, and GSE146173). Consensus clustering based on MRG expression was used to identify AML molecular subtypes. Differentially expressed genes (DEGs) common to AML subtypes and GSE24395 were identified. Prognostic genes were screened using univariate Cox regression and least absolute shrinkage and selection operator (Lasso) regression analyses. A prognostic risk model was constructed and validated. Functional enrichment, immune infiltration, and drug sensitivity analyses were conducted to explore the biological relevance of the model. In addition, regulatory elements including microRNAs, lncRNAs, and transcription factors targeting model genes were predicted. Results: Twenty-six overlapping DEGs were identified between AML subtypes and GSE24395. Five MRG-associated genes ( Conclusion: This study identified five mitophagy-related genes as prognostic biomarkers in AML and developed a robust risk model that correlates with survival outcome, immune infiltration, and drug sensitivity. These findings offer new insights into mitophagy-related mechanisms in AML and may guide personalized therapeutic strategies.

Indexed as

Biomarkers, TumorLeukemia, Myeloid, AcuteMitophagyComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, LeukemicGene Regulatory NetworksHumansMaleMiddle AgedPrognosisBiomarkers, Tumoracute myeloid leukemiabiomarkersimmune infiltrationmitophagy-related genesprognostic effect

Identifiers

PMID40873580
PMCPMC12378125

What Socratic holds

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Registered trials

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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 Socratic graph.