Evidence map›Paper›PMID 41405398›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Mutual Exclusion Analysis Shows that DUSP9 Negatively Regulates PD-L1 Expression and Acts as a Target to Enhance Anti-PD-1 Efficacy.

Yuzhe Hu, Ling Tang, Zheng Kuang, Danyi Huang, Ting Li, Gaofei Yin, Yingyu Chen, Wei Guo, Wenling Han, Pingzhang Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Yuzhe HuDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Ling TangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Zheng KuangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Danyi HuangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Ting LiDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Gaofei YinDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, 100730, China.
Yingyu ChenDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Wei GuoDepartment of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology Head and Neck Surgery (Capital Medical University), Ministry of Education, Beijing, 100730, China.
Wenling HanDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
Pingzhang WangDepartment of Immunology, NHC Key Laboratory of Medical Immunology (Peking University), Medicine Innovation Center for Fundamental Research on Major Immunology-related Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.ORCID https://orcid.org/0000-0003-1746-7216

Funding

Beijing Hospitals Authority Clinical medicine Development ZLRK202304Beijing Municipal Natural Science Foundation 7232095National Natural Science Foundation of China 32270990
6 · The paper itself

Abstract

The expression level of PD-L1 is one of the most widely used predictive markers of immune checkpoint blockade (ICB) efficacy in the clinic, suggesting the importance of regulating PD-L1 expression. However, no published reports have addressed the systematic exploration of the regulation of immune checkpoint molecules from the perspective of mutual exclusion (ME) in gene expression. The ME analysis, based on gene plasticity, provides a novel perspective on the intergenic regulatory paradigm. Here, multiple negative regulators of PD-L1 expression are identified, and dual-specificity phosphatase 9 (DUSP9) is selected for intensive study. DUSP9 negatively regulates PD-L1 expression in multiple tumor cells, and mechanistically, DUSP9 dephosphorylates STAT3 to mediate the inhibitory role. In syngeneic tumor models, the combination of DUSP9 targeting and PD-1 antibody can enhance therapeutic sensitivity. The clinical data demonstrated that elevated DUSP9 expression is correlated with diminished PD-1/PD-L1 antibody response rates. Consequently, DUSP9 emerges as a promising target for enhancing treatment response in combination with PD-1 antibody, and functions as a potential marker for predicting the efficacy of tumor immunotherapy. This research demonstrates an efficient method for identifying negative regulators of highly plastic genes (HPGs), which can predict immunotherapy responses and identify new targets for combination therapy with ICB.

Indexed as

B7-H1 AntigenDual-Specificity PhosphatasesImmune Checkpoint InhibitorsMitogen-Activated Protein Kinase PhosphatasesProgrammed Cell Death 1 ReceptorAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansMiceB7-H1 AntigenCD274 protein, humanDual-Specificity PhosphatasesImmune Checkpoint InhibitorsMitogen-Activated Protein Kinase PhosphatasesProgrammed Cell Death 1 Receptorcombination therapyDUSP9immune checkpoint blockade (ICB)mutual exclusion interference (MEi) strategyPD‐L1STAT3

Identifiers

PMID41405398
PMCPMC12948242

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Registered trials

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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.