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Simultaneous evolutionary expansion and constraint of genomic heterogeneity in multifocal lung cancer

Recent genomic analyses have revealed substantial tumor heterogeneity across various cancers. However, it remains unclear whether and how genomic heterogeneity is constrained during tumor evolution. Here, we sequence a unique cohort of multiple synchronous lung cancers (MSLCs) to determine the relat...

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Detalles Bibliográficos
Autores principales: Ma, Pengfei, Fu, Yujie, Cai, Mei-Chun, Yan, Ying, Jing, Ying, Zhang, Shengzhe, Chen, Minjiang, Wu, Jie, Shen, Ying, Zhu, Liang, Chen, Hong-Zhuan, Gao, Wei-Qiang, Wang, Mengzhao, Gu, Zhenyu, Bivona, Trever G., Zhao, Xiaojing, Zhuang, Guanglei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634994/
https://www.ncbi.nlm.nih.gov/pubmed/29018192
http://dx.doi.org/10.1038/s41467-017-00963-0
Descripción
Sumario:Recent genomic analyses have revealed substantial tumor heterogeneity across various cancers. However, it remains unclear whether and how genomic heterogeneity is constrained during tumor evolution. Here, we sequence a unique cohort of multiple synchronous lung cancers (MSLCs) to determine the relative diversity and uniformity of genetic drivers upon identical germline and environmental background. We find that each multicentric primary tumor harbors distinct oncogenic alterations, including novel mutations that are experimentally demonstrated to be functional and therapeutically targetable. However, functional studies show a strikingly constrained tumorigenic pathway underlying heterogeneous genetic variants. These results suggest that although the mutation-specific routes that cells take during oncogenesis are stochastic, genetic trajectories may be constrained by selection for functional convergence on key signaling pathways. Our findings highlight the robust evolutionary pressures that simultaneously shape the expansion and constraint of genomic diversity, a principle that holds important implications for understanding tumor evolution and optimizing therapeutic strategies.