Evidence map›Paper›PMID 39615895›Full record

ArticleJournal for immunotherapy of cancer2024

N-terminal acetylation of transcription factor LIP induces immune therapy resistance via suppression of PD-L1 expression in non-small cell lung cancer.

Xiang He, Yongshuo Liu, Xing Gao, Feiyu Tang, Yuxi Tian, Siyuan Gong, Jia Shen, Aimin Wang, Lunquan Sun, Wensheng Wei and 1 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

11 authors.

Xiang He *Key Laboratory of Molecular Radiation Oncology Hunan Province, Xiangya Cancer Center, Xiangya Hospital Central South University, Changsha, China.
Yongshuo Liu *Department of Pathology and Lab Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Xing Gao *Department of Stomatology, Xiangya Hospital Central South University, Changsha, Hunan, China.
Feiyu TangCenter for Biotherapy, Sun Yat-Sen University, Guangzhou, China.
Yuxi TianDepartment of Geriatric Respiratory and Critical Care Medicine, Xiangya Hospital Central South University, Changsha, Hunan, China.
Siyuan GongKey Laboratory of Molecular Radiation Oncology Hunan Province, Xiangya Cancer Center, Xiangya Hospital Central South University, Changsha, China.
Jia ShenKey Laboratory of Molecular Radiation Oncology Hunan Province, Xiangya Cancer Center, Xiangya Hospital Central South University, Changsha, China.
Aimin WangDepartment of Emergency, Xiangya Hospital Central South University, Changsha, China.
Lunquan SunKey Laboratory of Molecular Radiation Oncology Hunan Province, Xiangya Cancer Center, Xiangya Hospital Central South University, Changsha, China wengliang@pku.edu.cn wswei@pku.edu.cn lunquansun@csu.edu.cn.
Wensheng WeiBiomedical Pioneering Innovation Center, Peking-Tsinghua Center for Life Sciences, Peking University Genome Editing Research Center, State Key Laboratory of Protein and Plant Gene Research, Peking University School of Life Sciences, Beijing, China wengliang@pku.edu.cn wswei@pku.edu.cn lunquansun@csu.edu.cn.
Liang WengDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, China wengliang@pku.edu.cn wswei@pku.edu.cn lunquansun@csu.edu.cn.ORCID 0000-0001-7058-8274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed death-1 (PD-1) checkpoint blockade has revolutionized cancer therapy, yet its clinical success is confined to a subset of patients, underscoring the urgent need to understand the molecular underpinnings of programmed cell death ligand 1 (PD-L1) expression to combat immunotherapy resistance.

methodsEmploying CRISPR/Cas9 screening, we identified key regulators of PD-L1 in non-small cell lung cancer (NSCLC) cells, focusing on the transcription factor CEBPB and its isoform liver-enriched inhibitory protein (LIP). Through chromatin immunoprecipitation (ChIP) and luciferase reporter assays, we explored the interaction between LIP and basic-helix-loop-helix E22 (BHLHE22) in controlling PD-L1 transcription. We also used immunofluorescence and NBD-CI assays to examine how N-terminal acetylation affects LIP's subcellular localization. The impact of LIP on tumor growth was assessed via subcutaneous tumorigenicity assays, while immunohistochemistry and immunofluorescence were used to analyze LIP-induced alterations in the tumor immune microenvironment.

resultsOur research indicates that CEBPB, particularly its LIP isoform, significantly suppresses PD-L1 expression in NSCLC cells. This suppression is contingent on LIP's N-terminal acetylation by the N-terminal acetyltransferase A complex, which facilitates LIP's nuclear entry and interaction with BHLHE22. This interaction leads to the formation of a co-repressor complex at the PD-L1 promoter, effectively reducing PD-L1 expression and enhancing the tumor immune response.

conclusionsIdentifying CEBPB, especially the LIP isoform, as a pivotal regulator of PD-L1 expression sheds light on the mechanisms behind PD-1 blockade resistance in NSCLC. Our findings suggest that modulating LIP's function or its molecular interactions might offer a novel approach to boosting the efficacy of immunotherapies.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungLung NeoplasmsAcetylationAnimalsCCAAT-Enhancer-Binding Protein-betaCell Line, TumorDrug Resistance, NeoplasmHumansImmunotherapyMiceB7-H1 AntigenCCAAT-Enhancer-Binding Protein-betaCD274 protein, humanCEBPB protein, humanImmune Checkpoint InhibitorImmunotherapyNon-Small Cell Lung Cancer

Identifiers

PMID39615895
PMCPMC11624798

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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.