ArticleFrontiers in genetics2021
Ferroptosis-Related Gene Signature Predicts the Prognosis of Skin Cutaneous Melanoma and Response to Immunotherapy.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis.Frontiers in immunology · 2024Pooled it
- Role of pyroptosis in melanoma: Molecular mechanisms and therapeutic potentials.Apoptosis : an international journal on programmed cell death · 2026Review
- Constructing a novel MPT-driven necrosis-associated gene set for predicting prognosis and immune status in skin cutaneous melanoma.Journal of cancer research and clinical oncology · 2025Article
- Emerging Roles of Ferroptosis in Skin Pathophysiology.The Journal of investigative dermatology · 2025Review
- Integration of machine learning to reveal the correlation between ferroptosis and M2 macrophages in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Review
- Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.Apoptosis : an international journal on programmed cell death · 2025Article
- Comprehensive investigation of matrix metalloproteinases in skin cutaneous melanoma: diagnostic, prognostic, and therapeutic insights.Scientific reports · 2025Article
- Characteristics and significance of programmed cell death-related gene expression signature in skin cutaneous melanoma.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Review
- The mechanism of ferroptosis and its related diseases.Molecular biomedicine · 2023Review
- A comprehensive signature based on endoplasmic reticulum stress-related genes in predicting prognosis and immunotherapy response in melanoma.Scientific reports · 2023Article
- Article
- Article
- A Novel Necroptosis-Related Gene Signature in Skin Cutaneous Melanoma Prognosis and Tumor Microenvironment.Frontiers in genetics · 2022Article
- A new ferroptosis-related genetic mutation risk model predicts the prognosis of skin cutaneous melanoma.Frontiers in genetics · 2022Article
- Development and Validation of a Combined Ferroptosis and Immune Prognostic Model for Melanoma.Journal of oncology · 2022Article
- A novel ferroptosis-related gene signature to predict overall survival in patients with osteosarcoma.American journal of translational research · 2022Article
- A combined aging and immune prognostic signature predict prognosis and responsiveness to immunotherapy in melanoma.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ferroptosis is a non-apoptotic regulated cell death process, and much research has indicated that ferroptosis can induce the non-apoptotic death of tumor cells. Ferroptosis-related genes are expected to become a biological target for cancer treatment. However, the regulation of ferroptosis-related genes in skin cutaneous melanoma (SKCM) has not been well studied. In the present study, we conducted a systematic analysis of SKCM based on RNA sequencing data and clinical data obtained from The Cancer Genome Atlas (TCGA) database and the FerrD database. SKCM patients from the GSE78220 and MSKCC cohorts were used for external validation. Applying consensus clustering on RNA sequencing data from TCGA the generated ferroptosis subclasses of SKCM, which were analyzed based on the set of differentially expressed ferroptosis-related genes. Then, a least absolute shrinkage and selection operator (LASSO)-Cox regression was used to construct an eight gene survival-related linear signature. The median cut-off risk score was used to divide patients into high- and low-risk groups. The time-dependent receiver operating characteristic curve was used to examine the predictive power of the model. The areas under the curve of the signature at 1, 3, and 5 years were 0.673, 0.716, and 0.746, respectively. Kaplan-Meier survival analysis showed that the prognosis of high-risk patients was worse than that of low-risk patients. Univariate and multivariate Cox regression analyses showed that the risk signature was a robust independent prognostic indicator. By incorporating risk scores with tumor staging, a nomogram was constructed to predict prognostic outcomes for SKCM patients. In addition, the immunological analysis showed different immune cell infiltration patterns. Programmed-death-1 (PD-1) immunotherapy showed more significant benefits in the low-risk group than in the high-risk group. In summary, a model based on ferroptosis-related genes can predict the prognosis of SKCM and could have a potential role in guiding targeted therapy of SKCM.
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