For analysis of the prognosis of immune genes in HCC, follow-up data and gene expression were applied to calculate coefficient of each gene. Package survival of R was employed to conduct the univariable Cox proportional hazards regression. This was applied to every mRNA selected from the former step to analyze the independent effect. The hazard ratio (HR) of each RNA was calculated using the following equation:

where β represented the coefficient from Cox regression. The 2-sided Wald test was used to test the statistical significance of every predictor. Genes with P-value < .05 were selected as valuable predictors of HCC prognosis.

PI analysis in HCC between VIR and NVIR

Based on the included genes, a risk score named PI was calculated for every patient as an integrated inductor for survival analysis. PI was calculated as follows.

where βi represented the coefficient of the involved gene i, and Ei represented the expression level of the corresponding gene. To obtain the best PI cutoff value to divide HCC patients into a high-risk or low-risk survival group, the time-dependent receiver operating characteristic (ROC) curve analysis and Youden index (J) were applied. Next, Kaplan–Meier (K-M) survival curves were created to evaluate the predictive value of PI.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.