Predictive value of prognosis and immune function analysis of N6-methyladenosine-related long non-coding RNA in ovarian cancer
Objective To investigate the predictive value of prognosis and immune function analysis of N6-methyl-adenosine(m6A)-related long non-coding RNA(lncRNA)in ovarian cancer.Method The transcriptomic data and clini-cal data of ovarian cancer patients were obtained through The Cancer Genome Atlas(TCGA)database,and the lncRNA co-expressed with m6A were selected by correlation analysis.Cox regression analysis,least absolute shrinkage and selec-tion operator(LASSO)analysis and random forest model were used to determine the m6A-related lncRNA for construct-ing prognostic risk assessment model.The prognostic value and independence of the model were verified by receiver op-erating characteristic(ROC)curve,Kaplan-Meier survival curve,principal component analysis(PCA),Cox regression analysis,and nomogram.Immunocorrelation analysis was used to explore the relationship between the model and immu-notherapy.Real-time quantitative polymerase chain reaction was used to verify the expression of m6A-related lncRNA in ovarian cancer cells.Result Four m6A-related lncRNA(AL138820.1,AC019080.1,AC007637.1,RFX3-AS1)were ob-tained.Among them,high expressions of AL 138820.1 and AC007637.1 were risk factors for prognosis of ovarian cancer patients(HR＞1).High expression of RFX3-AS1 was protective factor for the prognosis of ovarian cancer patients(HR＜1).The results of prognostic factors of ovarian cancer patients showed that risk score,age and tumor stage were indepen-dent influencing factors for prognostic of ovarian cancer patients(P＜0.05).The nomogram was constructed to predict 1-,3-,and 5-year overall survival for patients with ovarian cancer,the calibration curve showed high accuracy between actu-al observed and predicted value.Real-time quantitative reverse transcription polymerase chain reaction results showed that compared with human normal ovarian cell line IOSE80,the expressions of AL138820.1,AC019080.1 and AC007637.1 in SKOV3 ovarian cancer cell line were increased,while the expression of RFX3-AS1 was decreased,the differences were statistically significant(P＜0.05).Conclusion This study identified four m6A-related lncRNA in ovari-an cancer and established a validated and robust risk model.This model has a certain value in predicting prognosis and immune function,and provides a new idea for the early diagnosis and treatment of ovarian cancer based on m6A.
万方数据
维普
