Genomic and Functional Approaches to Understanding Cancer Aneuploidy

Publication date

2018-04-09

Authors

Taylor, Alison M.
Shih, Juliann
Ha, Gavin
Gao, Galen F.
Zhang, Xiaoyang
Berger, Ashton C.
Schumacher, Steven E.
Wang, Chen
Hu, Hai
Liu, Jianfang

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

cc_by_nc_nd

Abstract

Aneuploidy, whole chromosome or chromosome arm imbalance, is a near-universal characteristic of human cancers. In 10,522 cancer genomes from The Cancer Genome Atlas, aneuploidy was correlated with TP53 mutation, somatic mutation rate, and expression of proliferation genes. Aneuploidy was anti-correlated with expression of immune signaling genes, due to decreased leukocyte infiltrates in high-aneuploidy samples. Chromosome arm-level alterations show cancer-specific patterns, including loss of chromosome arm 3p in squamous cancers. We applied genome engineering to delete 3p in lung cells, causing decreased proliferation rescued in part by chromosome 3 duplication. This study defines genomic and phenotypic correlates of cancer aneuploidy and provides an experimental approach to study chromosome arm aneuploidy. Analyzing >10,000 human cancers, Taylor et al. show that aneuploidy is correlated with somatic mutation rate, expression of proliferation genes, and decreased leukocyte infiltration. Loss of chromosome arm 3p is common in squamous cancers, but deletion of chromosome 3p reduces cell proliferation in vitro.

Keywords

aneuploidy, cancer genomics, genome engineering, lung squamous cell carcinoma, Oncology, Cell Biology, Cancer Research

Citation

Taylor, A M, Shih, J, Ha, G, Gao, G F, Zhang, X, Berger, A C, Schumacher, S E, Wang, C, Hu, H, Liu, J, Lazar, A J, Caesar-Johnson, S J, Demchok, J A, Felau, I, Kasapi, M, Ferguson, M L, Hutter, C M, Sofia, H J, Tarnuzzer, R, Wang, Z, Yang, L, Zenklusen, J C, Zhang, J, Chudamani, S, Liu, J, Lolla, L, Naresh, R, Pihl, T, Sun, Q, Wan, Y, Wu, Y, Cho, J, DeFreitas, T, Frazer, S, Gehlenborg, N, Getz, G, Heiman, D I, Kim, J, Lawrence, M S, Lin, P, Meier, S, Noble, M S, Saksena, G, Voet, D, Zhang, H, Bernard, B, Chambwe, N, Dhankani, V, Knijnenburg, T, de Krijger, R & The Cancer Genome Atlas Research Network 2018, 'Genomic and Functional Approaches to Understanding Cancer Aneuploidy', Cancer Cell, vol. 33, no. 4, pp. 676-689.e3. https://doi.org/10.1016/j.ccell.2018.03.007