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Tumor Discovery Prognostic biomarkers in pancreatic cancer

3.2. Construction and validation of risk models associated with survival. LASSO-penalized Cox analysis
based on m6A-related lncRNAs in PAAD patients is a common method for multiple regression analysis. The
application of this method not only improves the prediction
The m6A-related prognostic lncRNAs were screened from accuracy and interpretability of statistical models but
288 m6A-related lncRNAs in the TCGA training set using also enables variable selection and regularization to be
univariate Cox regression analysis. In Figure 2A, 24 m6A- performed simultaneously, which can effectively identify the
related lncRNAs in the TCGA dataset were significantly most available predictive markers and generate prognostic

A B

Figure 8. (A) Survival comparison of high and low tumor mutational burden. (B) Tumor mutational burden combined with patient risk score for survival
analysis

Figure 9. Six potential drugs for further analysis of PAAD patients

Volume 1 Issue 2 (2022) 9 https://doi.org/10.36922/td.v1i2.165