Evidence map›Paper›PMID 41958679›Full record

ArticleFrontiers in immunology2026

Mechanism by which SAHA regulates HLA-E expression via the endoplasmic reticulum stress-related PERK/ATF4/CHOP pathway in neuroblastoma.

Zhuoran Li, Xi Zhen, Chenggong Zeng, Yan Mao, Zhiqing Wei, Zijun Zhen

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Article in Frontiers in immunology, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhuoran Li *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xi Zhen *The Pennsylvania State University State College, PA, United States.
Chenggong ZengState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan MaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhiqing WeiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zijun ZhenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human leukocyte antigen E (HLA-E) plays a role in tumor immune escape and is associated with poor prognosis in neuroblastoma (NB). This study aimed to investigate the regulatory effect of suberoylanilide hydroxamic acid (SAHA) on HLA-E expression via the PERK/ATF4/CHOP pathway in NB. Methods: A high HLA-E expression model in NB cells was established by stimulation with interferon-gamma (IFN-γ). The effects of SAHA on NB cell proliferation and migration were evaluated. In addition, the influence of SAHA on the PERK/ATF4/CHOP signaling pathway and HLA-E expression at the mRNA and protein levels was analyzed. Bioinformatics analysis was performed using data from the TARGET and Gene Expression Omnibus (GEO; GSE85047) databases to identify prognostic genes associated with NB. Results: Stimulation with IFN-γ successfully induced high HLA-E expression in NB cells. SAHA significantly suppressed NB cell proliferation and migration and downregulated HLA-E expression at both the mRNA and protein levels. Analysis of the TARGET database revealed that the prognosis of patients with NB was closely related to the expression levels of endoplasmic reticulum stress (ERS)-related proteins, particularly PERK and HLA-E. This association was validated using the GEO dataset GSE85047. Moreover, SAHA inhibited the expression of ERS pathway proteins, including PERK and CHOP, in NB cell lines. Conclusion: This study demonstrated that SAHA downregulates HLA-E expression by inhibiting the PERK/ATF4/CHOP pathway, offering new insights into the regulation of tumor proliferation, migration, and immune evasion in NB.

Indexed as

Activating Transcription Factor 4eIF-2 KinaseEndoplasmic Reticulum StressHistocompatibility Antigens Class INeuroblastomaTranscription Factor CHOPVorinostatCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHLA-E AntigensHumansInterferon-gammaSignal TransductionActivating Transcription Factor 4ATF4 protein, humanDDIT3 protein, humanEIF2AK3 protein, humaneIF-2 KinaseHistocompatibility Antigens Class IHLA-E AntigensInterferon-gammaTranscription Factor CHOPVorinostatendoplasmic reticulum stress (ERS)human leukocyte antigen E (HLA-E)immune evasionneuroblastomasuberoylanilide hydroxamic acid (SAHA)

Identifiers

PMID41958679
PMCPMC13056686

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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.