Evidence map›Paper›PMID 40192737›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Single-Cell Transcriptomic Landscape Deciphers Intratumoral Heterogeneity and Subtypes of Acral and Mucosal Melanomas.

Yunyan Li, Ziyang Cui, Xiaole Song, Yeqing Chen, Cang Li, Junfeng Shi, Wenkang Qian, Guoxin Ren, Jiang Zhou, Chunpu Li and 18 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

28 authors.

Yunyan Li *Skin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0000-3456-200X
Ziyang Cui *Department of Dermatology and Venereology, Peking University First Hospital, Peking University, Beijing, China.ORCID 0000-0001-5596-7196
Xiaole Song *ENT institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-9757-4937
Yeqing Chen *Department of Computer Science, Ying Wu College of Computing, New Jersey Institute of Technology, Newark, New Jersey.ORCID 0000-0002-5602-3311
Cang Li *Skin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0009-0513-4319
Junfeng ShiENT institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-7176-572X
Wenkang QianZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.ORCID 0000-0002-1487-285X
Guoxin RenShanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-0231-4938
Jiang ZhouSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0001-3684-0218
Chunpu LiSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0004-0605-922X
Xiaoqing MaSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0009-0913-4754
Yifan ChenSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0004-3818-3081
Dongdong JiaZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.ORCID 0000-0002-6804-4988
Yongli ZhangSchool of Life Science, Beijing University of Chinese Medicine, Beijing, China.ORCID 0009-0006-6234-2382
Zhilin ZhangSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0009-1569-9735
Ronghao ZhangSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0009-5512-4485
Zhaotian ZhangSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0002-4568-1682
Yong ChenDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0002-7188-4566
Zhixiang XuSchool of Life Sciences, Henan University, Kaifeng, China.ORCID 0000-0002-2385-3044
Wantao ChenShanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-9307-162X
Xiao MiaoDepartment of Dermatology, Shuguang Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-3814-8329
Hongmeng YuENT institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-2578-9103
Jianxin ChenSchool of Life Science, Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0003-4067-5638
Kai WangDepartment of Respiratory and Critical Care Medicine, Center for Oncology Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.ORCID 0000-0003-4328-8799
Colin R GodingLudwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1614-3909
Zhi WeiDepartment of Computer Science, Ying Wu College of Computing, New Jersey Institute of Technology, Newark, New Jersey.ORCID 0000-0001-6059-4267
Tao LiZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang.ORCID 0000-0002-5924-0522
Rutao CuiSkin Disease Research Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0004-2590-0475

Funding

National Key Research and Development Program of China (NKPs) 2021YFA1101000National Key Research and Development Program of China (NKPs) 2021YFA1101004National Natural Science Foundation of China (NSFC) U21A20379
6 · The paper itself

Abstract

purposeTo identify the specific intratumoral and microenvironmental heterogeneity of acral melanoma (AM) and mucosal melanoma (MM), we aimed to delineate their distinct cellular compositions, evolutionary trajectories, and subtype-specific therapeutic strategies. EXPERIMENTAL

designSingle-cell transcriptomic and genomic landscapes were analyzed across 42 melanoma (28 AM, 11 MM, and 3 nonacral cutaneous melanoma) samples, supplemented by in vitro and in vivo validation. Tumor and stromal cells were profiled using single-cell RNA sequencing, whole-exome sequencing, and functional assays, including transwell migration, co-culture systems, and xenograft models.

resultsTumor cells exhibited divergent evolutionary routes, with MM dominated by MGP+/PCOLCE+ subpopulations showing high epithelial-to-mesenchymal transition potential. MM displayed elevated neutrophil infiltration and CXCL3+ tumor-associated macrophages, whereas AM was enriched with PI16+ cancer-associated fibroblasts promoting tumor proliferation. Molecular classification revealed MM subtypes: an antigen-presenting subtype linked to favorable outcomes and a proliferative subtype associated with recurrence. TIGIT+ regulatory T cells were enriched in AM, suggesting targeted inhibition potential. Genomic analysis connected BRAF/NRAS mutations to ALDOA+ stem-like tumor cells and identified prostaglandin D2 synthetase as a therapeutic target in triple-wild-type/melanomas.

conclusionsOur study provides a comprehensive comparison of AM and MM, uncovering subtype-specific stromal-immune interactions and molecular programs. The findings highlight actionable targets (e.g., TIGIT in AM and CXCL3+ macrophages in MM) and propose a framework for precision therapies, biomarker-driven trials, and risk stratification to improve outcomes in these aggressive melanomas.

Indexed as

Biomarkers, TumorMelanomaSingle-Cell AnalysisSkin NeoplasmsTranscriptomeAnimalsCell Line, TumorExome SequencingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansMaleMiceMucous MembraneBiomarkers, Tumor

Identifiers

PMID40192737
PMCPMC12163602

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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.