Related Experiment Video
Updated: Jan 27, 2026

Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
Published on: August 21, 2019
An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines
Julie Dutil1, Zhihua Chen2, Alvaro N Monteiro3
1Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico. Steven.Eschrich@moffitt.org jdutil@psm.edu.
Abstract:
Recent work points to a lack of diversity in genomics studies from genome-wide association studies to somatic (tumor) genome analyses. Yet, population-specific genetic variation has been shown to contribute to health disparities in cancer risk and outcomes. Immortalized cancer cell lines are widely used in cancer research, from mechanistic studies to drug screening. Larger collections of cancer cell lines better represent the genomic heterogeneity found in primary tumors. Yet, the genetic ancestral origin of cancer cell lines is rarely acknowledged and often unknown. Using genome-wide genotyping data from 1,393 cancer cell lines from the Catalogue of Somatic Mutations in Cancer (COSMIC) and Cancer Cell Line Encyclopedia (CCLE), we estimated the genetic ancestral origin for each cell line. Our data indicate that cancer cell line collections are not representative of the diverse ancestry and admixture characterizing human populations. We discuss the implications of genetic ancestry and diversity of cellular models for cancer research and present an interactive tool, Estimated Cell Line Ancestry (ECLA), where ancestry can be visualized with reference populations of the 1000 Genomes Project. Cancer researchers can use this resource to identify cell line models for their studies by taking ancestral origins into consideration.
Related Concept Videos
Short-distance Transport of Resources
Cell Diversity
Multicellular...
Cell Lines
Diversity in Cell Signaling Responses
Graded and Abrupt Responses
Some signaling systems generate...
Genetics of Speciation
What are Estimates?
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...

