Evidence map›Paper›PMID 42451648›Full record

ArticleMolecules (Basel, Switzerland)2026

Single-Cell RNA Sequencing Reveals Lactylation Modifications in Neuroblastoma and the Construction of a Prognostic Model.

Wuhe Jike, Ke Tian, Junming Zhu, Kutluk Kasim, Xiao Zhi, Lufeng Cheng, Xuejun Xiao

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

7 authors.

Wuhe JikeDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.ORCID 0009-0000-1877-0001
Ke TianDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.
Junming ZhuDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.ORCID 0009-0002-8815-8138
Kutluk KasimDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.ORCID 0009-0002-9212-6999
Xiao ZhiSchool of Medicine, Shanghai Jiao Tong University, No. 800 Dong Chuan Road, Shanghai 200240, China.ORCID 0000-0001-6527-7551
Lufeng ChengDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.
Xuejun XiaoDepartment of Pharmacology, College of Pharmacy, Xinjiang Medical University, No. 567 Shangde North Road, Shuimogou District, Urumqi 830017, China.

Funding

National Natural Science Foundation of China 62231025National Natural Science Foundation of China 62371293National Natural Science Foundation of China 82404681
6 · The paper itself

Abstract

Lactylation, a recently identified post-translational modification, has been associated with multiple cancer types, including neuroblastoma (NB). The present study aimed to investigate the prognostic significance of lactylation-related genes and to develop a prognostic model to enhance patient risk stratification and guide targeted therapy for NB. In the present bioinformatics study, single-cell RNA sequencing data (GSE137804) were analyzed to quantify lactylation activity in NB cells using the AddModuleScore algorithm based on 371 lactylation-related genes. A total of 142 differentially expressed lactylation-related genes (DELGs) were identified between high- and low-lactylation tumor cells, and these genes were mainly enriched in cell cycle-related pathways. A 14-gene lactylation-related prognostic model was then constructed using the identified DELGs in a training cohort (GSE49710,

Indexed as

NeuroblastomaProtein Processing, Post-TranslationalSingle-Cell AnalysisBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSequence Analysis, RNASingle-Cell Gene Expression AnalysisBiomarkers, Tumorlactylationmolecular markersneuroblastomaprognostic modelrisk stratificationsingle-cell RNA sequencing

Identifiers

PMID42451648
PMCPMC13362542

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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.