m7G-lncRNAs are potential biomarkers for prognosis and tumor microenvironment in endometrial cancer patients
Objective To screen m7G-related lncRNAs associated with the prognosis of endometrial cancer and con-struct a risk assessment model using bioinformatics methods.Methods Expression matrices and clinical data of endometrial cancer patients were downloaded from the TCGA database.m7G-related lncRNAs were selected through Pearson correlation analysis,univariate COX regression and LASSO regression analyses.Multivariate COX regression was performed to select and construct a predictive risk score model(m7G-LPR).Patients were divided into high and low-risk groups based on the model score.Kaplan-Meier analysis was used to compare the survival rates of different risk subgroups.The CIBERSORT de-convolution algorithm was used to assess differences in immune cell infiltration between high and low-risk groups.The prog-nostic accuracy of the m7G-LPR prognostic model and clinical pathological features were evaluated using the area under the curve(AUC).The model was evaluated using calibration curves.Results Eight m7G-related lncRNAs were included in the study to construct the m7G-LPR prognostic model.Kaplan-Meier survival analysis showed that patients in the low-risk group had better overall survival.The prognostic model independently predicted patients'overall survival and outperformed other clinical and pathological features.The nomogram predicted patient prognosis with an AUC value of 0.797,and calibration curves showed good consistency between observed and predicted survival rates at 1,3,and 5 years.The proportions of resting CD4+T cells,M2 macrophages,resting dendritic cells,and activated dendritic cells were significantly increased in the high-risk group,while plasma cells,CD8+T cells,activated CD4+T cells,and regulatory T cells were significantly decreased.Most immune checkpoint genes were highly expressed in the low-risk group.The proportion of MSI was higher in the low-risk group compared to the MSS group,and patients with MSI had significantly lower risk scores compared to MSS.Tumor muta-tion burden(TMB)results showed that the TMB level was higher in the low-risk group compared to the high-risk group,indi-cating a good correlation between the m7G-LPR model and TMB.Conclusion The m7G-LPR prognostic model can independ-ently predict the prognosis of endometrial cancer patients and reflect the tumor microenvironment and the efficacy of immune therapy,providing new insights for clinical precision treatment.
NETL
NSTL
万方数据
