Evidence map›Paper›PMID 39282977›Full record

ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2025

Identification of two molecularly and prognostically distinct subtypes in acral melanoma using network prediction method.

Mingzhu Yin, Yiding Zhang, Wenhua Wang, Shuang Zhao, Juan Su, Shao Li, Xiang Chen

Abstract read
In one paragraph

Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Acral melanoma: Molecular subtyping as a gateway to precision medicine.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025
    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

7 authors.

Mingzhu YinDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-6964-7131
Yiding ZhangInstitute for TCM-X, MOE Key Laboratory of Bioinformatics / Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0001-9833-1729
Wenhua WangDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0009-0007-7143-2248
Shuang ZhaoDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-7081-6177
Juan SuDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-7035-2560
Shao LiInstitute for TCM-X, MOE Key Laboratory of Bioinformatics / Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-8709-9167
Xiang ChenDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-8187-636X

Funding

Hunan Natural Science Foundation for Distinguished Young Scholars 2021JJ10073National Key Research and Development Program of China 2022YFC3601800The National Natural Science Foundation of China 81225025The National Natural Science Foundation of China 81874138The National Natural Science Foundation of China 82073020The National Natural Science Foundation of China T2341008
6 · The paper itself

Abstract

backgroundAcral melanoma, characterized by its aggressiveness and poor prognosis compared to other melanoma subtypes, poses significant challenges in clinical management. However, the molecular underpinnings driving the biological and clinical features of this disease remain poorly understood.

objectivesIn this study, our aim was to elucidate the molecular landscape and the correlation between subtypes and clinical features of acral melanoma.

methodsWe conducted comprehensive analyses to dissect the molecular characteristics of acral melanoma, employing a combination of multi-omics data analysis and network-based disease gene prediction algorithms. Single-cell RNA-Seq data were utilized to investigate the contribution of immunocytes to the molecular classification of acral melanoma. Additionally, we used clinical samples to validate the correlation between new subtypes and the prognosis of acral melanoma and the expression of subtype markers and verified the interaction between macrophages and acral melanoma cells at cellular level.

resultsOur study reveals the existence of two distinct subtypes of acral melanoma exhibiting marked differences in clinical behaviour, cellular and molecular mechanisms. We identified a robust biomarker panel (EREG, VSIG4, FCGR3A and RAB20) that accurately distinguishes these two subtypes with an impressive AUC of 0.946, validated using clinical samples. Subtype I, characterized by thinner Breslow thickness, demonstrates a favourable prognosis, whereas Subtype II represents a high-risk subtype with a propensity for dermal invasion. Notably, the signature gene EREG of Subtype I is enriched in FCN1

conclusionsOur findings significantly enhance the understanding of the molecular landscape of acral melanoma and offer novel insights into its clinical management by identifying distinct subtypes and potential therapeutic targets. The findings have to be confirmed in different cohorts in the future for full validation.

Indexed as

MelanomaSkin NeoplasmsBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisBiomarkers, Tumor

Identifiers

PMID39282977
PMCPMC12188512

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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.