Ancestral characterization of 1018 cancer cell lines highlights disparities and reveals gene expression and mutational differences

被引:13
|
作者
Kessler, Michael D. [1 ,2 ,3 ,4 ]
Bateman, Nicholas W. [5 ,6 ,7 ,8 ]
Conrads, Thomas P. [5 ,6 ,7 ,8 ,9 ]
Maxwell, George L. [5 ,6 ,7 ,8 ,9 ]
Hotopp, Julie C. Dunning [1 ,4 ,10 ]
O'Connor, Timothy D. [1 ,2 ,3 ,4 ]
机构
[1] Univ Maryland, Sch Med, Inst Genome Sci, 801 West Baltimore St, Baltimore, MD 21201 USA
[2] Univ Maryland, Sch Med, Dept Med, Baltimore, MD 21201 USA
[3] Univ Maryland, Sch Med, Program Personalized & Genom Med, Baltimore, MD 21201 USA
[4] Univ Maryland, Marlene & Stewart Greenebaum Comprehens Canc Ctr, Baltimore, MD 21201 USA
[5] Uniformed Serv Univ Hlth Sci, Gynecol Canc Ctr Excellence, Dept Obstet & Gynecol, Bethesda, MD 20814 USA
[6] Uniformed Serv Univ Hlth Sci, John P Murtha Canc Ctr, Bethesda, MD 20814 USA
[7] Walter Reed Natl Mil Med Ctr, Bethesda, MD USA
[8] Inova Ctr Personalized Hlth, Inova Schar Canc Inst, Fairfax, VA USA
[9] Inova Fairfax Med Campus, Dept Obstet & Gynecol, Falls Church, VA USA
[10] Univ Maryland, Sch Med, Dept Microbiol & Immunol, Baltimore, MD 21201 USA
基金
美国国家卫生研究院;
关键词
admixture; African ancestry; Asian ancestry; cancer genomics; clinical genetics; genomic ancestry; population genetics; precision medicine; RACIAL DISPARITY; PROSTATE-CANCER; BREAST-CANCER; ASSOCIATION; OVEREXPRESSION; CONTAMINATION; WHITE;
D O I
10.1002/cncr.32020
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:2076 / 2088
页数:13
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