| Objective: Anoikis and Necroptosis are two specific forms of programmed cell death,both of which play a significant role in the tumor microenvironment and affect tumor progression through their high immunogenicity.Cutaneous melanoma,the most common,metastatic and lethal skin tumour,is sensitive to immunotherapy but often results in a poor prognosis due to lack of early and accurate diagnosis.Long non-coding RNAs have an important role in the epigenetic regulation of tumour.However,no relevant studies have yet elucidated the prognostic impact of two programmed cell death-associated long non-coding RNAs on cutaneous melanoma.Therefore,in this study,we used bioinformatic analysis to screen for characteristic markers of prognostic value and construct corresponding predictive models and explore the correlation with immune features.Methods: RNA sequences and relevant clinical information of cutaneous melanoma and normal skin tissues were downloaded and pre-processed based on public databases.Person correlation analysis,differential screening,univariate Cox regression,LASSO regression,and multivariate Cox regression analysis were used to identify characteristic lncRNA with prognostic value and construct corresponding risk models,respectively.The two prediction models were evaluated separately for various clinical characteristics using multiple integrated methods to ensure that they produced accurate predictions.The correlation between the two sets of risk profiles and the immune microenvironment was further analyzed,and potential sensitive anti-cancer drugs were predicted.Results:1.Anoikis-related lncRNA was strongly associated with overall and progression-free survival of patients and were independent of other clinical factors.The low-risk group showed a more favorable immunological profile,was less affected by RNA methylation and was more sensitive to most anti-cancer drugs.2.A risk model based on Necroptosis-related lncRNA reliably predicted for OS in melanoma patients,and the low-risk score correlated more strongly with the immunological profile.Clustering analysis of necroptosis-associated lncRNA expression profiles identified two subgroups with different immunogenicity,namely cold and hot tumour subgroups,with significant differences in prognosis between the two groups.Conclusion: This research is the first to establish the prognostic profile of lncRNA associated with Anoikis and Necroptosis in cutaneous melanoma,which can accurately predict the prognosis of patients and provide potential biomarkers,providing a new idea for basic research,prognosis determination and individualized diagnosis and treatment plan of melanoma. |