Evidence map›Paper›PMID 41155250›Full record

ArticleInternational journal of molecular sciences2025

Dissecting Melanoma Ecosystem Heterogeneity from Molecular Characteristics to Genetic Variation at Single-Cell Resolution.

Congxue Hu, Liyuan Li, Tengyue Li, Baobin Qi, Wanqi Mi, He Yu, Kaiyue Yang, Qi Ou, Xia Li, Yunpeng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Congxue HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Liyuan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Tengyue LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Baobin QiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Wanqi MiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-5263-1635
He YuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Kaiyue YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Qi OuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-3709-3656

Funding

China Postdoctoral Science Foundation 2024M760709Heilongjiang Postdoctoral Fund LBH-Z24210Key Research and Development Program of Heilongjiang Province 2024ZX12C27National Natural Science Foundation of China 62172131National Natural Science Foundation of China 62472131National Natural Science Foundation of China U23A20166National Science and Technology Major Program 2024ZD0530500STI2030-Major Projects 2021ZD0202400
6 · The paper itself

Abstract

Melanoma shows heterogeneity across body sites like skin, acral skin, and the uvea, driven by molecular characteristics and genetic variations. However, comparative studies exploring the heterogeneity of melanoma across different anatomical sites remain limited, hindering a comprehensive understanding of its underlying biology. We proposed a research framework through bioinformatics to analyze the tumor ecosystems of cutaneous, acral, and uveal melanoma, from molecular characteristics to genetic variations at single-cell resolution. We found that oxidative phosphorylation (OXPHOS) is a critical driver of tumor cell evolution, with abnormal ribosomal gene and tumor suppressor expression observed in uveal melanoma (UM). Additionally, we screened for potential drug targets and drugs against tumor cells. In the immune microenvironment, acral melanoma (AM) and UM exhibit stronger immunosuppressive characteristics compared to cutaneous melanoma (CM). OXPHOS contributes to T cell cytotoxicity dysregulation in CM and AM, while interferon-γ is crucial in UM. Tumor cells may also induce T cell dysfunction through biological signals such as MIF-CD74 and HLA-E-NKG2A. This study offers valuable insights into melanoma heterogeneity, providing a comprehensive research framework for understanding the distinct molecular and immune characteristics of CM, AM, and UM, and potentially guiding the development of therapeutic strategies tailored to each melanoma subtype.

Indexed as

Genetic VariationMelanomaSingle-Cell AnalysisSkin NeoplasmsTumor MicroenvironmentUveal NeoplasmsComputational BiologyGenetic HeterogeneityHumansOxidative PhosphorylationUveal Melanomagenetic variationmelanoma heterogeneitymelanoma treatmentmolecular characteristicssingle cell

Identifiers

PMID41155250
PMCPMC12562883

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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.