ArticleClinical and experimental medicine2025
Integrating multi-omics data to resolve patterns of ion channel regulation in melanoma and predict tumor treatment response.
Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Modulatory Effects of Bioactive Phytoconstituents on the Amplitude and Gating Properties of Membrane Ion Channels.Molecules (Basel, Switzerland) · 2026Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skin cutaneous melanoma (SKCM) represents a highly aggressive malignancy with rising incidence, characterized by early metastatic potential and development of treatment resistance in advanced stages. While ion channel-related genes (ICRGs) demonstrate therapeutic relevance across cancers, their role in SKCM remains incompletely defined. A comprehensive assessment of ICRG regulatory patterns was conducted in SKCM samples using single-cell spatial transcriptomic and multi-omics data. These patterns were correlated with tumor microenvironment (TME) cell infiltration characteristics to construct ICRG scores quantifying tumor-specific ICRG modification patterns. The ICRG.Gene.cluster stratifies samples into two distinct subpopulations representing divergent immune phenotypes. An ICRG scoring system is constructed based on ICRG phenotype genes and validated in independent cohorts. Through ICRG-associated gene profiling, CD8⁺ T cells are categorized into five subsets, all exhibiting significant temporal dynamics in pseudotime analysis. Spatial transcriptomics confirms prominent co-localization spots between the C3 CD8⁺ T cell subset and melanoma cells. SCENIC analysis identifies that specific ICRG genes function as target nodes regulated by transcription factors. Core ICRG genes demonstrate elevated expression in both cell lines and clinical specimens, supporting their potential role as disease-associated genetic risk loci. ICRG modification patterns provide critical insights into TME infiltration heterogeneity, enabling refined prognostic assessment and therapeutic targeting strategies.
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Registered trials
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 Socratic graph.