» Articles » PMID: 36341437

The Role of Cuproptosis-related Gene in the Classification and Prognosis of Melanoma

Overview
Journal Front Immunol
Date 2022 Nov 7
PMID 36341437
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Melanoma, as one of the most aggressive and malignant cancers, ranks first in the lethality rate of skin cancers. Cuproptosis has been shown to paly a role in tumorigenesis, However, the role of cuproptosis in melanoma metastasis are not clear. Studying the correlation beteen the molecular subtypes of cuproptosis-related genes (CRGs) and metastasis of melanoma may provide some guidance for the prognosis of melanoma.

Methods: We collected 1085 melanoma samples in The Cancer Genome Atlas(TCGA) and Gene Expression Omnibus(GEO) databases, constructed CRGs molecular subtypes and gene subtypes according to clinical characteristics, and investigated the role of CRGs in melanoma metastasis. We randomly divide the samples into train set and validation set according to the ratio of 1:1. A prognostic model was constructed using data from the train set and then validated on the validation set. We performed tumor microenvironment analysis and drug sensitivity analyses for high and low risk groups based on the outcome of the prognostic model risk score. Finally, we established a metastatic model of melanoma.

Results: According to the expression levels of 12 cuproptosis-related genes, we obtained three subtypes of A, B, and C. Among them, C subtype had the best survival outcome. Based on the differentially expressed genes shared by A, B, and C genotypes, we obtained the results of three gene subtypes of A, B, and C. Among them, the B group had the best survival outcome. Then, we constructed a prognostic model consisting of 6 key variable genes, which could more accurately predict the 1-, 3-, and 5-year overall survival rates of melanoma patients. Besides, 98 drugs were screened out. Finally, we explored the role of cuproptosis-related genes in melanoma metastasis and established a metastasis model using seven key genes.

Conclusions: In conclusion, CRGs play a role in the metastasis and prognosis of melanoma, and also provide new insights into the underlying pathogenesis of melanoma.

Citing Articles

CDKN2A, a key gene in copper-induced cell death model, influencing melanoma invasion and apoptosis.

Li J, Yang X, Yin C, Li S, Xu Y, Liu B Discov Oncol. 2025; 16(1):246.

PMID: 40014167 PMC: 11867994. DOI: 10.1007/s12672-025-01992-8.


Copper in melanoma: At the crossroad of protumorigenic and anticancer roles.

Chrzan N, Hartman M Redox Biol. 2025; 81:103552.

PMID: 39970778 PMC: 11880738. DOI: 10.1016/j.redox.2025.103552.


Cuproptosis: molecular mechanisms, cancer prognosis, and therapeutic applications.

Cong Y, Li N, Zhang Z, Shang Y, Zhao H J Transl Med. 2025; 23(1):104.

PMID: 39844182 PMC: 11752808. DOI: 10.1186/s12967-025-06121-1.


Risk prediction model for pneumothorax or pleural effusion after microwave ablation in patients with lung malignancy.

Wang Z, Liu Y, Cao X, Liu M, Wang L, Zhong L Heliyon. 2024; 10(19):e38422.

PMID: 39430441 PMC: 11489138. DOI: 10.1016/j.heliyon.2024.e38422.


Cuproptosis-related DNA methylation signature predict prognosis and immune microenvironment in cutaneous melanoma.

Zhu L, Kang X, Zhu S, Wang Y, Guo W, Zhu R Discov Oncol. 2024; 15(1):228.

PMID: 38874871 PMC: 11178724. DOI: 10.1007/s12672-024-01089-8.


References
1.
Shanbhag V, Gudekar N, Jasmer K, Papageorgiou C, Singh K, Petris M . Copper metabolism as a unique vulnerability in cancer. Biochim Biophys Acta Mol Cell Res. 2020; 1868(2):118893. PMC: 7779655. DOI: 10.1016/j.bbamcr.2020.118893. View

2.
Tisato F, Marzano C, Porchia M, Pellei M, Santini C . Copper in diseases and treatments, and copper-based anticancer strategies. Med Res Rev. 2009; 30(4):708-49. DOI: 10.1002/med.20174. View

3.
Garbulowski M, Smolinska K, Cabuk U, Yones S, Celli L, Yaz E . Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment. Cancers (Basel). 2022; 14(4). PMC: 8870250. DOI: 10.3390/cancers14041014. View

4.
Li K, Qi Y, Xia T, Chan A, Zhang Z, Aibaidula A . The kinesin KIF14 is overexpressed in medulloblastoma and downregulation of KIF14 suppressed tumor proliferation and induced apoptosis. Lab Invest. 2017; 97(8):946-961. DOI: 10.1038/labinvest.2017.48. View

5.
Zhou Y, Zhou H, Hua L, Hou C, Jia Q, Chen J . Verification of ferroptosis and pyroptosis and identification of PTGS2 as the hub gene in human coronary artery atherosclerosis. Free Radic Biol Med. 2021; 171:55-68. DOI: 10.1016/j.freeradbiomed.2021.05.009. View