Evidence map›Paper›PMID 40275251›Full record

ArticleJournal of translational medicine2025

MUC18-Directed chimeric antigen receptor T cells for the treatment of mucosal melanoma.

Fenghao Zhang, Haizhen Du, Kaiping Liu, Qian Guo, Mengmeng Liang, Jing Shi, Shi Feng, Ting He, Xin-An Lu, Yanfang Tang and 6 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

16 authors.

Fenghao Zhang *Department of Renal Cancer and Melanoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Haizhen Du *Department of Renal Cancer and Melanoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Kaiping Liu *Department of Renal Cancer and Melanoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Qian GuoDepartment of Renal Cancer and Melanoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China.
Mengmeng LiangBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Jing ShiMultitude Therapeutics, Shanghai, China.
Shi FengBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Ting HeBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Xin-An LuBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Yanfang TangMultitude Therapeutics, Shanghai, China.
Lihua WangBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Qiaozhen LiBeijing Imunopharm Technology Co., Ltd, Beijing, China.
Xun MengMultitude Therapeutics, Shanghai, China.
Shu-Hui LiuMultitude Therapeutics, Shanghai, China. shuhui.liu@multitudetherapeutics.com.
Yanping DingBeijing Imunopharm Technology Co., Ltd, Beijing, China. dingyanping@imunopharm.com.
Yan KongDepartment of Renal Cancer and Melanoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China. k-yan08@163.com.ORCID 0000-0002-2266-7872

Funding

National Key R&D Program of China 2019YFA0904404National Key R&D Program of China, Stem Cell Research and Organ Repair 2022YFA1106500Natural Science Foundation of China 82272848
6 · The paper itself

Abstract

purposeMucosal melanoma, a highly aggressive form of skin cancer, remains challenging to manage due to the lack of effective therapies. Mucin 18 (MUC18) is overexpressed in both primary and metastatic lesions of melanoma but rarely in normal tissues. The expression profile makes MUC18 a potential target for development of therapeutic antibodies or chimeric antigen receptor-T (CAR-T) cell therapy. This study aims to generate an effective CAR-T targeting MUC18-positive melanoma and evaluate its preclinical antitumor activity. EXPERIMENTAL

designA humanized anti-MUC18 single chain antibody fragment (scFv) was used to construct CAR-T with various designs of the hinge, transmembrane, co-stimulatory, and CD3ζ domains. The antitumor efficacy of MUC18 CAR-T cells was assessed in vitro, in MUC18-positive primary and rechallenged xenograft models, as well as in patient-derived xenograft (PDX) models of human mucosal melanoma.

resultsThe humanized scFv selectively bound to MUC18 with high affinity. Various MUC18 CAR-T cells specifically killed MUC18-positive melanoma cells and could proliferate as a result of exposure to antigen. Among them, CAR-T cells containing an IgG4-derived hinge domain and a CD28 co-stimulatory domain demonstrated superior antitumor efficiency. Robust tumor regression and CAR-T cell expansion were observed in multiple MUC18-positive xenograft models after treatment with the IgG4 hinge and CD28 empowered CAR-T cells.

conclusionsThis study demonstrated the development of a novel CAR-T therapy for mucosal melanoma, MUC18 CAR-T, that showed strong potency in tumor eradication and inhibition of tumor relapse. This candidate CAR-T therapy could provide a promising strategy for the treatment of the refractory melanoma.

Indexed as

MelanomaMucous MembraneReceptors, Chimeric AntigenT-LymphocytesAnimalsCell Line, TumorCell ProliferationHumansImmunotherapy, AdoptiveMiceSingle-Chain AntibodiesXenograft Model Antitumor AssaysReceptors, Chimeric AntigenSingle-Chain AntibodiesCAR-TMUC18Mucosal melanomaPreclinical efficacy

Identifiers

PMID40275251
PMCPMC12020318

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.