Zhang C, Shen C. Identification of hub gene and lncRNA signature related to
entotic cell death in cutaneous melanoma for prognostic and immune prediction.
Medicine (Baltimore) 2023;
102:e35881. [PMID:
37960805 PMCID:
PMC10637533 DOI:
10.1097/md.0000000000035881]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/11/2023] [Indexed: 11/15/2023] Open
Abstract
Entotic cell death (ECD), a cell death program observed in cancer cell competition, predominantly occurs in an autophagy protein-dependent, non-apoptotic manner. However, the relationship between cutaneous melanoma (CM) and ECD-associated genes and lncRNAs has remained unclear. This study aimed to elucidate the role and mechanism of ECD-associated genes in CM. To achieve this, 4 mechanism learning algorithms and integrated bioinformatic analyses were employed to identify the core ECD-associated genes and lncRNAs. Subsequently, 2 risk signatures based on ECD-associated genes and hub lncRNAs were constructed for CM patients. As a result, we observed significant differential expression of ECD-associated genes in CM, indicating their potential as valuable predictors for CM patients. Moreover, RHOA was identified as a core ECD-associated gene in CM, and its expression was found to be associated with patients' survival and immune infiltration, suggesting its relevance as a potential therapeutic target. Additionally, this study provided clarification on hub ECD-associated lncRNAs in CM, offering insights into their roles in the disease. Through bioinformatic analyses, we identified 2 risk signatures based on the expression of ECD-associated genes and hub ECD-associated lncRNAs, respectively. Both risk signatures were strongly linked to the prognosis and cancer growth of CM, underscoring their potential as valuable prognostic indicators. Furthermore, mechanistic analyses suggested a significant association between the risk signature and the immune microenvironment in CM, highlighting potential immune-related implications in disease progression. In conclusion, we propose that ECD-associated genes and lncRNAs hold promise as potential targets in CM. Moreover, our findings revealed a significant correlation between ECD and the immune microenvironment, providing crucial insights for guiding individualized treatment strategies in CM.
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