JOURNAL ARTICLE

Construction of five cuproptosis-related lncRNA signature for predicting prognosis and immune activity in skin cutaneous melanoma

Abstract

Cuproptosis is a newly discovered new mechanism of programmed cell death, and its unique pathway to regulate cell death is thought to have a unique role in understanding cancer progression and guiding cancer therapy. However, this regulation has not been studied in SKCM at present. In this study, data on Skin Cutaneous Melanoma (SKCM) patients were downloaded from the TCGA database. We screened the genes related to cuproptosis from the published papers and confirmed the lncRNAs related to them. We applied Univariate/multivariate and LASSO Cox regression algorithms, and finally identified 5 cuproptosis-related lncRNAs for constructing prognosis prediction models (VIM-AS1, AC012443.2, MALINC1, AL354696.2, HSD11B1-AS1). The reliability and validity test of the model indicated that the model could well distinguish the prognosis and survival of SKCM patients. Next, immune microenvironment, immunotherapy analysis, and functional enrichment analysis were also performed. In conclusion, this study is the first analysis based on cuproptosis-related lncRNAs in SKCM and aims to open up new directions for SKCM therapy.

Keywords:
Immunotherapy Melanoma Proportional hazards model Lasso (programming language) Immune system Univariate Tumor microenvironment Cancer Computational biology Multivariate statistics Medicine Biology Oncology Internal medicine Cancer research Immunology Computer science Machine learning

Metrics

19
Cited By
2.45
FWCI (Field Weighted Citation Impact)
54
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cancer-related molecular mechanisms research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Cancer Research
Ferroptosis and cancer prognosis
Health Sciences →  Medicine →  Pulmonary and Respiratory Medicine
Cancer Immunotherapy and Biomarkers
Health Sciences →  Medicine →  Oncology
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