In this panel, you can perform survival analysis based on the expression status of one gene or a multi-genes' signature and plot a Kaplan-Meier curve. Some gene signature lists are provided.

GEPIA performs Overall Survival (OS) or Progression-free Interval (PFI) analysis based on gene expression `log2 (TPM+1)` transformed. GEPIA uses Log-rank test, a.k.a the Mantel-Cox test, for hypothesis test. Cohorts thresholds can be adjusted. The cox proportional hazard ratio and the 95% confidence interval information can also be included in the survival plot.

Parameters:

• Gene: Input a gene/isoform or gene signature of interest
• Time Response: Select the OS or PFS survival response.
• Axis Units: Select Month or Day unit for plotting.
• Datasets Selection: Select one or multiple cancer types of interest in the "Dataset" field and click "+" to build dataset list in the "Selected Datasets" field.
• Colors: Choose color to plot
• Group Cutoff: Select a suitable expression threshold for splitting the high-expression and low-expression cohorts.
• Cutoff-High(%): Samples with expression level higher than this threshold are considered as the high-expression cohort.
• Cutoff-Low(%): Cutoff-Low(%): Samples with expression level lower than this threshold are considered the low-expression cohort.