Welcome to CPRCSdb!

What is CPRCSdb?

Cancer-Phenotype-Related Cancer Cell Subpopulations Database (CPRCSdb) is a database designed to systematically study how tumor single-cell heterogeneity influences tumor staging, patient survival, and responses to anti-cancer therapies. It employs Scissor, an algorithm published in Nature Biotechnology, to perform joint analysis. This approach preserves the rich clinical phenotype information from bulk data while capturing the cellular heterogeneity provided by single-cell data. The platform provides comprehensive bioinformatics analyses to explore the link between single-cell features and clinical phenotypes.

In brief, CPRCSdb curates data from over 4.05 million cells derived from approximately 1,053 manually collected single-cell samples and 101 integrated datasets, along with 11,032 bulk RNA-seq samples, collectively covering 29 cancer types. These bulk samples cover five clinical phenotypes, namely patient survival status, tumor stage, tumor size, lymph node involvement, and distant metastasis, as well as 30 anti-cancer drug response phenotypes, each supported by at least three sensitive and three resistant samples.