Evidence map›Paper›PMID 40599792›Full record

ArticleFrontiers in immunology2025

Precision prognostication in neuroblastomas via clinically validated E2F activity signatures.

Donghan Cai, Huihuang Xu, Shiwei He, Di Xu, Lizhi Li

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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

5 authors.

Donghan CaiShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Huihuang XuShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Shiwei HePopulation Medicine Research Institute, Public Health School of Fujian Medical University, Fuzhou, China.
Di XuShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Lizhi LiShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroblastoma (NB) is the most common extracranial solid tumor in children, with high-risk NB (HR-NB) exhibiting dismal survival rates due to aggressive biology and therapy resistance. E2F transcription factors (E2Fs) are pivotal regulators of cell cycle progression and immune modulation, yet their prognostic and therapeutic implications in NB remain underexplored. Methods: Using transcriptomic data from the GEO, TARGET, and E-MTAB-8248 cohorts, we identified E2F-associated molecular subtypes via consensus clustering. A prognostic signature was constructed via LASSO regression and validated for risk stratification. Immune infiltration, tumor mutation burden (TMB), and drug sensitivity were analyzed via the CIBERSORT, ESTIMATE, and GDSC databases. Results: Four E2F-related genes (MAD2L1, CDC25A, CKS2, and NME1) were used to construct a prognostic nomogram that stratified patients into high- and low-risk groups, with low-risk patients exhibiting superior overall survival (P < 0.05). Multivariate Cox regression confirmed that the model was an independent prognostic factor (P < 0.001). High-risk patients presented lower immune and stromal scores, reduced immune checkpoint expression, distinct immune cell infiltration patterns, and significant differences in mutation spectrum and drug sensitivity (P < 0.001). Conclusions: The E2F-related prognostic signature effectively stratifies NB patients by risk and provides potential biomarkers for prognosis and targeted therapy in HR-NB patients. The identified signature enhances patient stratification and provides insights into NB tumor biology, the immune landscape, and potential treatment strategies.

Indexed as

Biomarkers, TumorE2F Transcription FactorsNeuroblastomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMutationNomogramsPrognosisTranscriptomeBiomarkers, TumorE2F Transcription Factorsdrug sensitivityE2F-related genesimmuneneuroblastomaprognosis

Identifiers

PMID40599792
PMCPMC12209246

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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.