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Tumor Discovery Prognostic biomarkers in pancreatic cancer

A

B C

Figure 2. (A) Univariate Cox regression analysis showed that selected lncRNA was significantly associated with clinical prognosis. (B) Adjusted parameters
(logλ) of OS-related proteins were selected to cross-validate error curves. A vertical imaginary line was drawn at the optimal value according to the
minimum criterion and the 1-se criterion. (C) Distribution of LASSO coefficients and vertical imaginary lines for OS-associated lncRNA are plotted with
values selected by ten-fold cross-validation.

of functional reviews. The ggpubr package and the limma 2.5. Model estimation of tumor immune
package in R studio software were also used to analyze, microenvironment, principal component analysis,
whether the tumor mutation burden of the high-risk and and Kaplan–Meier survival analysis
low-risk groups was different. The survival package and
survminer package in the R studio software were then used Differential immune function in high-risk and low-risk
to analyze the survival of the high and low tumor mutation groups was screened by limma package, GSVA package,
burden groups. and GSEABase package in R studio software. The maftools

Volume 1 Issue 2 (2022) 4 https://doi.org/10.36922/td.v1i2.165