Evidence map›Paper›PMID 41284647›Full record

ArticlePloS one2025

Single-cell transcriptomics profiling reveals cellular origins and molecular drivers underlying melanoma brain metastasis.

Jingxin Zeng, Ling Lin, Yangyang Ma, Wenzhe Huang, Quan Luo, Ju Wen

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Jingxin ZengThe Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, China.
Ling LinGuangzhou Dermatology Hospital, Guangzhou, Guangdong, China.
Yangyang MaThe Air Force Hospital of the Southern Theater Command, Guangzhou, Guangdong, China.
Wenzhe HuangDepartment of Biomedical Engineering, General Hospital of Eastern Theater Command Hospital, Nanjing, Jiangsu, China.
Quan LuoGuangzhou Dermatology Hospital, Guangzhou, Guangdong, China.
Ju WenThe Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0009-0005-2470-2589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma brain metastasis (MBM) remains lethal with limited treatment efficacy. Meanwhile, the cellular origins and drivers of brain metastasis from melanoma have yet to be defined. Through integrated single-cell/single-nucleus RNA sequencing of 26 melanoma samples, we identified a pre-brain-metastatic tumor subpopulation (MBMATCs, MBM-associated tumor cells) within a conserved malignant cell trajectory (Mela3). MBMATCs exhibited activated pro-metastatic pathways and upregulated neural/adhesion genes (NRG3, NCAM1), suggesting a cellular origin for brain tropism. MBM ecosystems showed T cell exhaustion (elevated PD-1, HAVCR2, LAG3) and Treg enrichment. An MBM-Index derived from bulk RNA-seq accurately quantifies MBMATCs abundance, independently predicting poor overall survival in both TCGA-SKCM and validation cohorts. Furthermore, we assessed the clinical relevance of the MBM-Index and uncovered five candidate drugs with potential activity against MBMATCs. This study identifies MBMATCs as brain metastasis associated tumor cells and positions the MBM-Index as a biomarker for early stratification of melanoma patients at high risk of brain metastasis.

Indexed as

Brain NeoplasmsMelanomaSingle-Cell AnalysisTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleBiomarkers, Tumor

Identifiers

PMID41284647
PMCPMC12643271

What OpenQuestion holds

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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.