Title | Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients |
Author | |
Corresponding Author | Peng, Li; Zhang, Jianglin; Qi, Min |
Publication Years | 2023-03-01
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DOI | |
Source Title | |
ISSN | 1360-8185
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EISSN | 1573-675X
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Abstract | Ferroptosis, a form of cell death caused by iron-dependent peroxidation of lipids, plays an important role in cancer. Recent studies have shown that long noncoding RNAs (lncRNAs) are involved in the regulation of ferroptosis in tumor cells and are also closely related to tumor immunity. Immune cell infiltration in the tumor microenvironment affects the prognosis and clinical outcome of immunotherapy in melanoma patients, and immune cell classification may be able to accurately predict the prognosis of melanoma patients. However, the prognostic value of ferroptosis-related lncRNAs (FRLs) in melanoma has not been thoroughly explored, and it is difficult to define the immune characteristics of melanoma. We used The Cancer Genome Atlas (TCGA), the Genotype-Tissue Expression (GTEx) database, and the FerrDb database to identify FRLs. FRLs with prognostic value were evaluated in an experimental cohort utilizing univariate, LASSO (least absolute shrinkage and selection operator) and multivariate Cox regression, followed by in vitro assays evaluating the expression levels and the biological functions of three candidate FRLs. Kaplan-Meier (K-M) and receiver operating characteristic (ROC) curve analyses were used to assess the validity of the risk model, and the drug sensitivity of FRLs was examined by drug sensitivity analysis. The differentially expressed genes between the high- and low-risk groups in the risk model were enriched in the immune pathway, and we further found immune gene signatures (IRGs) that could predict the prognosis of melanoma patients through a series of methods including single-sample Gene Set Enrichment Analysis (ssGSEA). Finally, two GEO cohorts were used to validate the predictive accuracy and reliability of these two signature models. Our findings suggest that FRLs and IRGs have the potential to predict the prognosis of patients with cutaneous melanoma. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | Corresponding
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Funding Project | National Natural Science Foundation of China["82073019","82073018"]
; Hunan Provincial Natural Science Foundation of China[2022JJ30189]
; Teaching Reform Research Project of Universities in HunanProvince[HNJG-2021-1120]
; Shenzhen Science and Technology Innovation Commission, China (Natural Science Foundation of Shenzhen)["JCYJ20210324113001005","JCYJ20210324114212035"]
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WOS Research Area | Biochemistry & Molecular Biology
; Cell Biology
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WOS Subject | Biochemistry & Molecular Biology
; Cell Biology
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WOS Accession No | WOS:000958728800002
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Publisher | |
ESI Research Field | MOLECULAR BIOLOGY & GENETICS
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Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:1
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/524020 |
Department | Shenzhen People's Hospital |
Affiliation | 1.Cent South Univ, Xiangya Hosp, Dept Dermatol, Changsha 410008, Hunan, Peoples R China 2.Hunan First Normal Univ, Sch Comp Sci, Changsha 410205, Peoples R China 3.Cent South Univ, Sch Math & Stat, Changsha 410083, Peoples R China 4.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Affiliated Hosp 1,Clin Med Coll 2,Dept Dermatol, Shenzhen 518020, Guangdong, Peoples R China 5.Natl Clin Res Ctr Skin Dis, Candidate Branch, Shenzhen 518020, Guangdong, Peoples R China 6.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2,Affiliated Hosp 1,Dept Geriatr, Shenzhen 518020, Guangdong, Peoples R China 7.Cent South Univ, Xiangya Hosp, Dept Plast Surg, Changsha 410008, Peoples R China |
Corresponding Author Affilication | Shenzhen People's Hospital |
Recommended Citation GB/T 7714 |
Xiong, Kaifen,Wang, Zheng,Hounye, Alphonse Houssou,et al. Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients[J]. APOPTOSIS,2023.
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APA |
Xiong, Kaifen,Wang, Zheng,Hounye, Alphonse Houssou,Peng, Li,Zhang, Jianglin,&Qi, Min.(2023).Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients.APOPTOSIS.
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MLA |
Xiong, Kaifen,et al."Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients".APOPTOSIS (2023).
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