Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients

Xiong, Kaifen1; Wang, Zheng2; Hounye, Alphonse Houssou3; Peng, Li2; Zhang, Jianglin4,5,6; Qi, Min7

2023-03-01

10.1007/s10495-023-01831-7

APOPTOSIS   Impact Factor & Quartile

1360-8185

1573-675X

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.

Ferroptosis Cutaneous melanoma Long noncoding RNAs (lncRNAs) Immune Bioinformatics

SCI

English

Corresponding

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"]

Biochemistry & Molecular Biology ; Cell Biology

Biochemistry & Molecular Biology ; Cell Biology

WOS:000958728800002

SPRINGER

MOLECULAR BIOLOGY & GENETICS

Web of Science

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

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.

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.

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).