A comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types
Katharine Yu1, Bin Chen1,3, Dvir Aran1, Theodore Goldstein1, Marina Sirota1,2
1. Institute for Computational Health Sciences, University of California, San Francisco, CA, USA
2. Department of Pediatrics, University of California, San Francisco, CA
3. Department of Pediatrics and Human Development, Department of Pharmacology and Toxicology, Michigan State University, Grand Rapids, MI, USA
Cancer cell lines are commonly used as models for cancer biology. While they are limited in their ability to capture complex interactions between tumors and their surrounding environment, they are a cornerstone of cancer research and many important findings have been discovered utilizing cell line models. Not all cell lines are appropriate models of primary tumors, however, which may contribute to the difficulty in translating in vitro findings to patients. We present here a comprehensive pan-cancer analysis utilizing approximately 9,000 transcriptomic profiles from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia to evaluate cell lines as models of primary tumors across 22 different tumor types. Our analysis of the 22 tumor types are available here in our web app as a resource to the cancer research community, and we hope it will allow researchers to select more appropriate cell line models and increase the translatability of in vitro findings.
Heatmap showing the median correlations between cell lines and primary tumor samples across all 22 tumor types