Evidence map›Paper›PMID 41400642›Full record

ReviewCancer biology & therapy2025

Novel perspectives on MSLN-targeted cancer therapy: from molecular mechanisms to clinical translation.

Zhendong Wu, Xuefei Fu, Yuan Feng, Rong Zeng, Huan Qin, Kai Yao

Abstract readReview
In one paragraph

Review in Cancer biology & therapy, 2025. 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.

  1. Review
  2. Review
  3. Review
  4. More tools to uncover cancer cells.Molecular therapy. Oncology · 2026
    Article
  5. Article
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

6 authors.

Zhendong WuInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.
Xuefei FuInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.
Yuan FengInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.
Rong ZengInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.
Huan QinInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.ORCID 0000-0002-1785-1114
Kai YaoInstitute of Visual Neuroscience and Stem Cell Engineering, Wuhan University of Science and Technology, Wuhan, China.ORCID 0000-0002-8122-430X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesothelin (MSLN) is a glycosylphosphatidylinositol (GPI)-anchored membrane protein that promotes malignant behaviors including tumor cell proliferation, migration and immune evasion through activation of multiple signaling pathways, such as MAPK/ERK and PI3K/AKT. MSLN is widely overexpressed in malignant tumors but shows low expression levels in normal tissues. This differential expression pattern renders MSLN an important clinical therapeutic target. Currently, MSLN-based tumor-targeting approaches predominantly involve antibody-drug conjugates (ADC), cancer vaccines, oncolytic viruses and chimeric antigen receptor T-cell (CAR-T) therapies. These therapeutic modalities have demonstrated encouraging efficacy in preclinical studies and phase I/II clinical trials. However, challenges such as unclear molecular mechanisms of MSLN signaling pathways and extracellular domain shedding impose limitations on targeted therapeutic strategies. Therefore, this review comprehensively discusses the gene and protein structures of MSLN, its biological functions, and related targeted therapeutic strategies, providing new insights into MSLN-targeted cancer therapy.

Indexed as

GPI-Linked ProteinsMolecular Targeted TherapyNeoplasmsAnimalsHumansMesothelinGPI-Linked ProteinsMesothelinMSLN protein, humancellular therapyimmune escapeimmunotherapyMesothelintargeted therapy

Identifiers

PMID41400642
PMCPMC12710932

What OpenQuestion holds

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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.