Users can first choose the range of sub-datasets, and then separate the samples into two groups, according to the total proportion of cell cell types selected. Up to five sub-datasets are supported. In addition, we also apply the log-rank test to check whether the two K-M curves are statistically different. The p-value of the log-rank test will be displayed in the title of the survival plot.

Parameters

• TCGA Tumor/Used Datasets: Select cancer types of interest in the "TCGA Tumor" and click "add" to build dataset list in the "Used Expression Datasets" field. Also, manual input of cancer types split by comma (e.g. COAD Tumor,READ Tumor) is also acceptable. The correlation analysis is based on the datasets list.
• Cell types: Select cell type(s) of interest for analysis. If more than one cell types are selected, we will use the sum proportion of them.
• Cutoff-high: Samples with the sum proportion of selected cell type(s) higher than this threshold are considered as the high-expression cohort (red lines in the survival plot).
• Cutoff-low: Samples with the sum proportion of selected cell type(s) lower than this threshold are considered as the low-expression cohort (blue lines in the survival plot).
• Type of survival periods: Select "Overall Survival" or "Relapse-free Survival" data of TCGA tumor samples for analysis.
• Show 95% confidence interval: Select whether to show the 95% confidence interval of each K-M curve.
• Show right censoring mark: Select whether to show the + mark on the K-M curve for each right-censored sample.