ArticleFrontiers in oncology2021
Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 88 citations in OpenAlex.
- 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
- Pyroptosis-Related Genes as Prognostic Biomarkers and Immune Infiltration Features in Sepsis-Induced ARDS: A Single-Cell and Bulk RNA-Sequencing Analysis.Journal of inflammation research · 2025Article
- Pyroptosis-Related Gene Signatures Enable Robustly Diagnosis, Prognosis and Immune Responses Prediction in Uterine Corpus Endometrial Carcinoma.Journal of Cancer · 2025Article
- Pyroptotic macrophages promote proliferation and chemotherapy resistance of peripheral T-cell lymphoma via TLR4 signaling pathway.Cancer science · 2024Article
- Multiomics characterization of pyroptosis in the tumor microenvironment and therapeutic relevance in metastatic melanoma.BMC medicine · 2024Article
- Diabetic Cardiomyopathy Uncovered: Transcriptomics, NLRP3, and Carvedilol Mechanisms.Journal of diabetes research · 2024Article
- Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma.Frontiers in pharmacology · 2024Article
- Construction of disulfidptosis-based immune response prediction model with artificial intelligence and validation of the pivotal grouping oncogene c-MET in regulating T cell exhaustion.Frontiers in immunology · 2024Article
- Comparative analysis identifies genetic and molecular factors associated with prognostic clusters of PANoptosis in glioma, kidney and melanoma cancer.Scientific reports · 2023Article
- Deciphering a cell death-associated signature for predicting prognosis and response to immunotherapy in lung squamous cell carcinoma.Respiratory research · 2023Article
- Harnessing the Potential of Non-Apoptotic Cell Death Processes in the Treatment of Drug-Resistant Melanoma.International journal of molecular sciences · 2023Review
- Dissection of pyroptosis-related prognostic signature and CASP6-mediated regulation in pancreatic adenocarcinoma: new sights to clinical decision-making.Apoptosis : an international journal on programmed cell death · 2023Article
- Screening for autophagy/hypoxia/ferroptosis/pyroptosis-related genes of tendon injury and repair in a rat model after celecoxib and lactoferrin treatment.Journal of orthopaedic surgery and research · 2023Article
- Article
- Identification of a pyroptosis-based model for predicting clinical outcomes from immunotherapy in patients with metastatic melanoma.Cancer medicine · 2023Article
- Machine learning to predict overall short-term mortality in cutaneous melanoma.Discover oncology · 2023Article
- Identification of the ageing-related prognostic gene signature, and the associated regulation axis in skin cutaneous melanoma.Scientific reports · 2023Article
- The Therapeutic Potential of Pyroptosis in Melanoma.International journal of molecular sciences · 2023Review
- A novel pyroptosis-related prognostic signature for lung adenocarcinoma: Identification and multi-angle verification.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skin cutaneous melanoma (SKCM) is a chronically malignant tumor with a high mortality rate. Pyroptosis, a kind of pro-inflammatory programmed cell death, has been linked to cancer in recent studies. However, the value of pyroptosis in the diagnosis and prognosis of SKCM is not clear. In this study, it was discovered that 20 pyroptosis-related genes (PRGs) differed in expression between SKCM and normal tissues, which were related to diagnosis and prognosis. Firstly, based on these genes, nine machine-learning algorithms were shown to perform well in constructing diagnostic classifiers, including K-Nearest Neighbor (KNN), logistic regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), decision tree, random forest, XGBoost, LightGBM, and CatBoost. Secondly, the least absolute shrinkage and selection operator (LASSO) Cox regression analysis was applied and the prognostic model was constructed based on 9 PRGs. Subgroups in low and high risks determined by the prognostic model were shown to have different survival. Thirdly, functional enrichment analyses were performed by applying the gene set enrichment analysis (GSEA), and results suggested that the risk was related to immune response. In conclusion, the expression signatures of pyroptosis-related genes are effective and robust in the diagnosis and prognosis of SKCM, which is related to immunity.
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