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Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients.
Xiong, Kaifen; Wang, Zheng; Hounye, Alphonse Houssou; Peng, Li; Zhang, Jianglin; Qi, Min.
Afiliação
  • Xiong K; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
  • Wang Z; School of Computer Science, Hunan First Normal University, Changsha, 410205, China.
  • Hounye AH; School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
  • Peng L; School of Computer Science, Hunan First Normal University, Changsha, 410205, China. goodbetter@163.com.
  • Zhang J; Department of Dermatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China. zhang.jianglin@szhospital.com.
  • Qi M; Candidate Branch of National Clinical Research Center for Skin Diseases, Shenzhen, 518020, Guangdong, China. zhang.jianglin@szhospital.com.
Apoptosis ; 28(5-6): 840-859, 2023 06.
Article em En | MEDLINE | ID: mdl-36964478
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / RNA Longo não Codificante / Ferroptose / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Apoptosis Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / RNA Longo não Codificante / Ferroptose / Melanoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Apoptosis Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China