Evidence map›Paper›PMID 39912421›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Loss of MNX1 Sensitizes Tumors to Cytotoxic T Cells by Degradation of PD-L1 mRNA.

Zhengzheng Li, Lei Chen, Ge Zhang, Shuang Wang, Enhang Xu, Jinglei Teng, Jiancheng Xu, Fang Peng, Qingjie Min, Zhuoya Wang and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Loss of MNX1 Sensitizes Tumors to Cytotoxic T Cells by Degradation of PD-L1 mRNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. 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

16 authors.

Zhengzheng LiInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Lei ChenInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Ge ZhangDepartment of Immunology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
Shuang WangInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Enhang XuInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Jinglei TengInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Jiancheng XuSoochow University Cancer Institute, Suzhou, 215000, China.
Fang PengDepartment of Pathology, the Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
Qingjie MinInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Zhuoya WangInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Shujuan ShaoUniversity Key Laboratory of Proteomics in Liaoning Province, Dalian Medical University, Dalian, 116044, China.
Lianmei ZhaoResearch Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
Baoen ShanResearch Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
Yang WangInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Qimin ZhanInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
Xuefeng LiuInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.ORCID https://orcid.org/0000-0002-4991-9080

Funding

Dalian Medical University Tumor Microenvironment Interdisciplinary Research Cooperation Project Team Funding JCHZ2023024Education Department of Liaoning Province LJKZ0825High-Level Talent Innovation and Entrepreneurship Support Program of Dalian 2021RJ05National Key Research and Development Program of China 2023YFE0117500Science and Technology Innovation Talent Support Program of Dalian 2022RY05Suzhou Top-Notch Talent Groups ZXD2022003
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapy, targeting programmed cell death ligand-1 (PD-L1)/programmed cell death protein 1 (PD-1) axis and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), has exhibited amazing clinical outcomes in various types of cancers. However, only a small portion of patients benefit from ICB therapy, indicating that the mechanism underlying immune checkpoint is still unclear. Here, it is reported that motor neuron and pancreas homeobox 1 (MNX1), a homeobox domain-containing transcription factor, contributes to the tumor immune escape. MNX1 increases PD-L1 expression in cancer cells by stabilizing PD-L1 mRNA rather than activating transcription. Mechanistically, MNX1 exists in the cytoplasm of cancer cells and interacts with Y-box binding protein 1 (YBX1), a multifunctional DNA/RNA-binding protein, to enhance the binding of YBX1 to PD-L1 mRNA. MNX1 ablation activates cytotoxic T cell-mediated anti-tumor immunity and sensitizes CTLA-4 blockade therapy. Moreover, MNX1 also facilitates tumor progression in an immune-independent manner in cancer cells. In addition, MNX1 is upregulated by its adjacent long non-coding RNA MNX1-AS1 via HECT and RLD domain containing E3 ubiquitin protein ligase 2 (HERC2). Together, these results reveal MNX1 as a novel immune checkpoint regulator with promising therapeutic potential.

Indexed as

B7-H1 AntigenHomeodomain ProteinsNeoplasmsT-Lymphocytes, CytotoxicTranscription FactorsAnimalsCell Line, TumorHumansMiceRNA, MessengerTumor EscapeY-Box-Binding Protein 1B7-H1 AntigenCD274 protein, humanHomeodomain ProteinsRNA, MessengerTranscription FactorsY-Box-Binding Protein 1immunotherapyMNX1MNX1‐AS1PD‐L1tumor immune escape

Identifiers

PMID39912421
PMCPMC11947991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.