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Ancestral characterization of 1018 cancer cell lines highlights disparities and reveals gene expression and mutational differences.
Kessler, Michael D; Bateman, Nicholas W; Conrads, Thomas P; Maxwell, George L; Dunning Hotopp, Julie C; O'Connor, Timothy D.
Afiliación
  • Kessler MD; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland.
  • Bateman NW; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
  • Conrads TP; Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
  • Maxwell GL; University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland.
  • Dunning Hotopp JC; Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology and the John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland.
  • O'Connor TD; Inova Schar Cancer Institute, Inova Center for Personalized Health, Fairfax, Virginia.
Cancer ; 125(12): 2076-2088, 2019 06 15.
Article en En | MEDLINE | ID: mdl-30865299
ABSTRACT

BACKGROUND:

Although 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.

METHODS:

An 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.

RESULTS:

For 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.

CONCLUSIONS:

By 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Etnicidad / Biomarcadores de Tumor / Disparidades en el Estado de Salud / Genética de Población / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cancer Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Etnicidad / Biomarcadores de Tumor / Disparidades en el Estado de Salud / Genética de Población / Mutación / Neoplasias Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cancer Año: 2019 Tipo del documento: Article