ArticleFrontiers in immunology2023
An estrogen response-related signature predicts response to immunotherapy in melanoma.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- LAMA1 Promotes Tumor-Associated Macrophages Polarization Towards the M2 Phenotype and Induces Colorectal Cancer.Applied biochemistry and biotechnology · 2026Article
- Prospects and challenges of novel natural marine-derived compounds in melanoma treatment.World journal of clinical oncology · 2025Review
- A prognostic signature for hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer.Scientific reports · 2025Article
- Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for thyroid cancer.Discover oncology · 2025Article
- Sex-specific outcomes in cancer therapy: the central role of hormones.Frontiers in medical technology · 2024Review
- Role of gonadally synthesized steroid hormones in the colorectal cancer microenvironment.Frontiers in oncology · 2023Review
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8 authors.
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Abstract
Background: Estrogen/estrogen receptor signaling influences the tumor microenvironment and affects the efficacy of immunotherapy in some tumors, including melanoma. This study aimed to construct an estrogen response-related gene signature for predicting response to immunotherapy in melanoma. Methods: RNA sequencing data of 4 immunotherapy-treated melanoma datasets and TCGA melanoma was obtained from open access repository. Differential expression analysis and pathway analysis were performed between immunotherapy responders and non-responders. Using dataset GSE91061 as the training group, a multivariate logistic regression model was built from estrogen response-related differential expression genes to predict the response to immunotherapy. The other 3 datasets of immunotherapy-treated melanoma were used as the validation group. The correlation was also examined between the prediction score from the model and immune cell infiltration estimated by xCell in the immunotherapy-treated and TCGA melanoma cases. Results: "Hallmark Estrogen Response Late" was significantly downregulated in immunotherapy responders. 11 estrogen response-related genes were significantly differentially expressed between immunotherapy responders and non-responders, and were included in the multivariate logistic regression model. The AUC was 0.888 in the training group and 0.654-0.720 in the validation group. A higher 11-gene signature score was significantly correlated to increased infiltration of CD8+ T cells (rho=0.32, p=0.02). TCGA melanoma with a high signature score showed a significantly higher proportion of immune-enriched/fibrotic and immune-enriched/non-fibrotic microenvironment subtypes (p<0.001)-subtypes with better response to immunotherapy-and significantly better progression-free interval (p=0.021). Conclusion: In this study, we identified and verified an 11-gene signature that could predict response to immunotherapy in melanoma and was correlated with tumor-infiltrating lymphocytes. Our study suggests targeting estrogen-related pathways may serve as a combination strategy for immunotherapy in melanoma.
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