ArticleScientific reports2020
A novel predictive model incorporating immune-related gene signatures for overall survival in melanoma patients.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Establishing a Ten Disulfidptosis-related Gene Signature for Prognostic Prediction in Skin Cutaneous Melanoma.Combinatorial chemistry & high throughput screening · 2025Article
- Tumor-derived DEFB1 induces immune tolerance by inhibiting maturation of dendritic cell and impairing CD8+ T cell function in esophageal squamous cell carcinoma.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024Article
- Generalizable transcriptome-based tumor malignant level evaluation and molecular subtyping towards precision oncology.Journal of translational medicine · 2024Article
- A seven-immune-genes risk model predicts the survival and suitable treatments for patients with skin cutaneous melanoma.Heliyon · 2023Article
- Analysis of Melanoma Gene Expression Signatures at the Single-Cell Level Uncovers 45-Gene Signature Related to Prognosis.Biomedicines · 2022Article
- Survival-related genes are diversified across cancers but generally enriched in cancer hallmark pathways.BMC genomics · 2022Article
- Development and Validation of Tumor Immunogenicity Based Gene Signature for Skin Cancer Risk Stratification.International journal of molecular sciences · 2021Article
- Identification of subgroups along the glycolysis-cholesterol synthesis axis and the development of an associated prognostic risk model.Human genomics · 2021Article
- AutoEncoder-Based Computational Framework for Tumor Microenvironment Decomposition and Biomarker Identification in Metastatic Melanoma.Frontiers in genetics · 2021Article
- Coexpressed Genes That Promote the Infiltration of M2 Macrophages in Melanoma Can Evaluate the Prognosis and Immunotherapy Outcome.Journal of immunology research · 2021Article
- Nomogram Incorporating the WNT/β-Catenin Signaling Pathway for Predicting the Survival of Cutaneous Melanoma.International journal of general medicine · 2021Article
- Development and Validation of a Combined Glycolysis and Immune Prognostic Model for Melanoma.Frontiers in immunology · 2021Article
- Development of an Immune-Related Gene Signature for Prognosis in Melanoma.Frontiers in oncology · 2020Article
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7 authors.
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Abstract
Melanoma is the most invasive type of skin cancer, in which the immune system plays a vital role. In this study, we aimed to establish a prognostic prediction nomogram for melanoma patients that incorporates immune-related genes (IRGs). Ninety-seven differentially expressed IRGs between melanoma and normal skin were screened using gene expression omnibus database (GEO). Among these IRGs, a two-gene signature consisting of CCL8 and DEFB1 was found to be closely associated with patient prognosis using the cancer genome atlas (TCGA) database. Survival analysis verified that the IRGs score based on the signature gene expressions efficiently distinguished between high- and low-risk patients, and was identified to be an independent prognostic factor. A nomogram integrating the IRGs score, age and TNM stage was established to predict individual prognosis for melanoma. The prognostic performance was validated by the TCGA/GEO-based concordance indices and calibration plots. The area under the curve demonstrated that the nomogram was superior than the conventional staging system, which was confirmed by the decision curve analysis. Overall, we developed and validated a nomogram for prognosis prediction in melanoma based on IRGs signatures and clinical parameters, which could be valuable for decision making in the clinic.
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