ArticleFrontiers in oncology2022
Exploring Tumor Immune Microenvironment and Its Associations With Molecular Characteristics in Melanoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Multi-omics profiling revealsTranslational lung cancer research · 2026Article
- Targeting macrophage-derived SPP1 enhances CD8 T cell infiltration via ROS-DNA fragment/cGAS-STING/STAT1-mediated CXCL9/10 in tumor microenvironment.Journal for immunotherapy of cancer · 2026Article
- Melanoma treatment in the era of nanotechnology and precision medicine.Journal of nanobiotechnology · 2025Review
- Dual role of interferon-gamma in the response of melanoma patients to immunotherapy with immune checkpoint inhibitors.Molecular cancer · 2025Review
- Recycled melanoma-secreted melanosomes regulate tumor-associated macrophage diversification.The EMBO journal · 2024Article
- Article
- Understanding the tumor microenvironment for personalized immunotherapy in early-onset head and neck squamous cell carcinoma.Frontiers in immunology · 2024Review
- Advancing immunotherapy for melanoma: the critical role of single-cell analysis in identifying predictive biomarkers.Frontiers in immunology · 2024Review
- An Overview of the Immune Modulatory Properties of Long Non-Coding RNAs and Their Potential Use as Therapeutic Targets in Cancer.Non-coding RNA · 2023Review
- CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer.Journal of ovarian research · 2023Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The tumor microenvironment (TME), which involves infiltration of multiple immune cells into the tumor tissues, plays an essential role in clinical benefit to therapy. The chemokines and their receptors influence migration and functions of both tumor and immune cells. Also, molecular characteristics are associated with the efficacy of melanoma therapy. However, there lacked exploration of immune characteristics and the association with molecular characteristics. Methods: We collected the currently available 569 melanoma samples that had both the genomic and transcriptional data from TCGA and SRA databases. We first identified TME subtypes based on the developed immune signatures, and then divided the samples into two immune cohorts based on the immune score. Next, we estimated the compositions of the immune cells of the two cohorts, and performed differential expression genes (DEGs) and functional enrichments. In addition, we investigated the interactions of chemokines and their receptors under immune cells. Finally, we explored the genomic characteristics under different immune subtypes. Results: TME type D had a better prognosis among the four subtypes. The high-immunity cohort had significantly high 16 immune cells. The 63 upregulated and 384 downregulated genes in the high-immunity cohort were enriched in immune-related biological processes, and keratin, pigmentation and epithelial cells, respectively. The correlations of chemokines and their receptors with immune cell infiltration, such as CCR5-CCL4/CCL5 and CXCR3-CXCL9/CXCL10/CXCL11/CXCL13 axis, showed that the recruitments of 11 immune cells, such as CD4T cells and CD8T cells, were modulated by chemokines and their receptors. The proportions of the four TME subtypes in each molecular subtype were comparable. The two driver genes, CDKN2A and PRB2, had significantly different MAFs between the high-immunity and low-immunity. Conclusion: We dissected the characteristics of immune infiltration, the interactions of chemokines and their receptors under immune cells, and the correlation of molecular and immune characteristics. Our work will enable the reasonable selection of anti-melanoma treatments and accelerate the development of new therapeutic strategies for melanoma.
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