Evidence map›Paper›PMID 41645330›Full record

ArticleCell & bioscience2026

Lactylation-related gene signature as a prognostic biomarker for neuroblastoma: insights into tumor progression and immune modulation.

Jiangquan Zhu, Muyang Luo, Li Yuan, Jing He, Zhu Wang, Qiong Deng, Jieyan Wang, Meiyu Jin, Guochang Liu, Hui Liang and 3 more

Abstract read
In one paragraph

Article in Cell & bioscience, 2026. 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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0cells of the map it votes in
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

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5 · Who and what money

Authors and funding

13 authors.

Jiangquan Zhu *Department of Urology, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Muyang Luo *The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Li Yuan *Department of Pathology, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jing He *Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Zhu WangDepartment of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong, China.
Qiong DengDepartment of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong, China.
Jieyan WangDepartment of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong, China.
Meiyu JinDepartment of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong, China.
Guochang LiuDepartment of Urology, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China.
Hui LiangDepartment of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong, China. lianghui8689@smu.edu.cn.
Wen FuDepartment of Urology, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China. doctorfuwen@163.com.
Jiefeng YangDigestive Diseases Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. yangjf28@mail.sysu.edu.cn.
Guannan ShuDepartment of Urology, Guangzhou Women and Children's Medical Center, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China. shugn@alumni.sysu.edu.cn.

Funding

China Postdoctoral Science Foundation 2025M772215Research Foundation of Guangzhou Women and Children's Medical Center for Clinical Doctor 2023BS017Research Foundation of Guangzhou Women and Children's Medical Center for Clinical Doctor 2024BS002The National Natural Science Foundation of China No.82303163
6 · The paper itself

Abstract

backgroundLactylation, a recently identified post-translational modification mediated by lactate, plays a critical role in regulating metabolic and immune processes in tumors. However, its function in neuroblastoma, particularly its association with tumor progression and immune modulation, remains unclear.

methodWe conducted immunohistochemical analyses on neuroblastoma tissue samples to evaluate lactylation levels and their clinical relevance. Single-cell RNA sequencing data and the AUCell algorithm were utilized to identify lactylation-related genes (LRGs) and map their expression within the tumor microenvironment. A seven-gene LRGs-based prognostic model was constructed using Cox regression and Least absolute shrinkage and selection operator (LASSO) analysis and validated in independent datasets. Bioinformatics analyses were performed to assess the associations between LRGs and clinical characteristics, biological pathways, immune infiltration, and therapeutic response. Functional assays further investigated the role of KLHL32, a key gene identified in the model.

resultsOur study revealed significantly elevated lactylation levels in neuroblastoma tumor tissues, which were associated with advanced disease stages and poor prognoses. We identified 407 LRGs and developed a seven-gene prognostic model that effectively stratified patients by risk, showing robust predictive performance in both internal and external validations. High-risk patients exhibited increased activation of tumor-promoting pathways, including glycolysis and PI3K/AKT signaling, alongside reduced immune cell infiltration, indicative of an immunosuppressive tumor microenvironment. Among the LRGs, KLHL32 emerged as a key tumor suppressor, inhibiting neuroblastoma cell proliferation, migration, and invasion, while enhancing NK cell-mediated cytotoxicity and anti-GD2 immunotherapies response. KLHL32 overexpression suppressed lactate production by downregulating the PI3K/AKT pathway, reducing protein lactylation levels, and promoting anti-tumor immunity.

conclusionOur findings establish lactylation as a critical determinant of neuroblastoma progression and prognosis. The seven-gene lactylation-related prognostic model provides a novel tool for patient stratification and therapeutic decision-making. Additionally, KLHL32 represents a promising target for enhancing immunotherapy efficacy by modulating metabolic and immune pathways, offering new opportunities for precision treatment in high-risk neuroblastoma patients.

Indexed as

ImmunotherapyKLHL32LactylationNeuroblastomaTumor microenvironment

Identifiers

PMID41645330
PMCPMC12973827

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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.