ArticleCancer2019
Ancestral characterization of 1018 cancer cell lines highlights disparities and reveals gene expression and mutational differences.
Article in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- Choroid plexus carcinoma: state of the field and emerging directions.Oncogenesis · 2026Review
- Actionable Genes and Carcinogenic Pathways for Gastric Cancer in Latinos.Cancer medicine · 2025Article
- TRACE: applying AI language models to extract ancestry information from curated biomedical literature.Frontiers in digital health · 2025Article
- Variation to biology: optimizing functional analysis of cancer risk variants.Journal of the National Cancer Institute · 2024Article
- Genetic diversity among the present Japanese population: evidence from genotyping of human cell lines established in Japan.Human cell · 2024Article
- Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries.Nature communications · 2024Article
- Tackling the lack of diversity in cancer research.Disease models & mechanisms · 2023Article
- Parabens Promote Protumorigenic Effects in Luminal Breast Cancer Cell Lines With Diverse Genetic Ancestry.Journal of the Endocrine Society · 2023Article
- Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms.Cancer research · 2023Article
- How inclusive are cell lines in preclinical engineered cancer models?Disease models & mechanisms · 2022Article
- Diversifying preclinical research tools: expanding patient-derived models to address cancer health disparities.Trends in cancer · 2022Article
- Peptide ancestry informative markers in uterine neoplasms from women of European, African, and Asian ancestry.iScience · 2022Article
- HSD17B7 gene in self-renewal and oncogenicity of keratinocytes from Black versus White populations.EMBO molecular medicine · 2021Article
- Kasumi leukemia cell lines: characterization of tumor genomes with ethnic origin and scales of genomic alterations.Human cell · 2020Article
- Extended transcriptome analysis reveals genome-wide lncRNA-mediated epigenetic dysregulation in colorectal cancer.Computational and structural biotechnology journal · 2020Article
- MicroRNAs and Cancer Racial Disparities.Wiley interdisciplinary reviews. RNAReview
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Authors and funding
6 authors.
Funding
Abstract
backgroundAlthough cell lines are an essential resource for studying cancer biology, many are of unknown ancestral origin, and their use may not be optimal for evaluating the biology of all patient populations.
methodsAn admixture analysis was performed using genome-wide chip data from the Catalogue of Somatic Mutations in Cancer (COSMIC) Cell Lines Project to calculate genetic ancestry estimates for 1018 cancer cell lines. After stratifying the analyses by tissue and histology types, linear models were used to evaluate the influence of ancestry on gene expression and somatic mutation frequency.
resultsFor the 701 cell lines with unreported ancestry, 215 were of East Asian origin, 30 were of African or African American origin, and 453 were of European origin. Notable imbalances were observed in ancestral representation across tissue type, with the majority of analyzed tissue types having few cell lines of African American ancestral origin, and with Hispanic and South Asian ancestry being almost entirely absent across all cell lines. In evaluating gene expression across these cell lines, expression levels of the genes neurobeachin line 1 (NBEAL1), solute carrier family 6 member 19 (SLC6A19), HEAT repeat containing 6 (HEATR6), and epithelial cell transforming 2 like (ECT2L) were associated with ancestry. Significant differences were also observed in the proportions of somatic mutation types across cell lines with varying ancestral proportions.
conclusionsBy estimating genetic ancestry for 1018 cancer cell lines, the authors have produced a resource that cancer researchers can use to ensure that their cell lines are ancestrally representative of the populations they intend to affect. Furthermore, the novel ancestry-specific signal identified underscores the importance of ancestral awareness when studying cancer.
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