Your browser doesn't support javascript.
loading
A BRAF mutation-associated gene risk model for predicting the prognosis of melanoma.
Huang, Xiang; Gou, Wanrong; Song, Qinxian; Huang, Yan; Wen, Chunlei; Bo, Xue; Jiang, Xian; Feng, Jianguo; Gao, Hong.
Afiliação
  • Huang X; Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China.
  • Gou W; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
  • Song Q; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
  • Huang Y; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
  • Wen C; Department of Dermatology, Suining First People's Hospital, Suining, 629000, Sichuan, China.
  • Bo X; Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China.
  • Jiang X; Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou, China.
  • Feng J; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
  • Gao H; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
Heliyon ; 9(5): e15939, 2023 May.
Article em En | MEDLINE | ID: mdl-37205993
ABSTRACT
BRAF mutation plays an important role in the pathogenesis and progression of melanoma and is correlated to the prognosis of melanoma patients. However, fewer studies have attempted to develop a BRAF mutation-associated gene risk model for predicting the prognosis of melanoma. The current research explores BRAF mutation-related biological features in melanoma and establishes a prognostic signature. First, we identified three significantly enriched KEGG pathways (glycosphingolipid biosynthesis - ganglio series, ether lipid metabolism, and glycosaminoglycan biosynthesis - keratan sulfate) and corresponding genes in the BRAF mutant group by gene set enrichment analysis. We then developed a prognostic signature based on 7 BRAF-associated genes (PLA2G2D, FUT8, PLA2G4E, PLA2G5, PLA2G1B, B3GNT2, and ST3GAL5) and assessed its prediction accuracy using ROC curve analysis. Finally, the nomogram was established according to the prognostic signature and independent clinical characteristics to predict the survival of melanoma patients. Furthermore, we found higher proportions of naive B cells, plasma cells, CD8 T cells, CD4 memory-activated T cells, and regulatory T cells in the low-risk group. Whereas lower proportions of M0, M1, and M2 macrophages and resting NK cells were observed in the high-risk group. The analysis also showed a significantly higher expression of immune checkpoint molecules (PD-1, PD-L1, CTLA4, BTLA, CD28, CD80, CD86, HAVCR2, ICOS, LAG3, and TIGIT) in the low-risk group. Our results provide novel insights into the effect of BRAF mutation on melanoma growth and indicate a promising direction toward immunotherapy and precision medicine in melanoma patients.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article