Single-cell sequencing analysis characterizes common and cell-lineage-specific mutations in a muscle-invasive bladder cancer

Yingrui Li, Xun Xu, Luting Song, Yong Hou, Zesong Li, Shirley Tsang, Fuqiang Li, Kate M. Im, Kui Wu, Hanjie Wu, Xiaofei Ye, Guibo Li, Linlin Wang, Bo Zhang, Jie Liang, Wei Xie, Renhua Wu, Hui Jiang, Xiao Liu, Chang YuHancheng Zheng, Min Jian, Liping Nie, Lei Wan, Min Shi, Xiaojuan Sun, Aifa Tang, Guangwu Guo, Yaoting Gui, Zhiming Cai, Jingxiang Li, Wen Wang, Zuhong Lu, Xiuqing Zhang, Lars Bolund, Karsten Kristiansen, Jian Wang, Huanming Yang, Michael Dean, Jun Wang

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

Background: Cancers arise through an evolutionary process in which cell populations are subjected to selection; however, to date, the process of bladder cancer, which is one of the most common cancers in the world, remains unknown at a single-cell level. Results: We carried out single-cell exome sequencing of 66 individual tumor cells from a muscle-invasive bladder transitional cell carcinoma (TCC). Analyses of the somatic mutant allele frequency spectrum and clonal structure revealed that the tumor cells were derived from a single ancestral cell, but that subsequent evolution occurred, leading to two distinct tumor cell subpopulations. By analyzing recurrently mutant genes in an additional cohort of 99 TCC tumors, we identified genes that might play roles in the maintenance of the ancestral clone and in the muscle-invasive capability of subclones of this bladder cancer, respectively. Conclusions: This work provides a new approach of investigating the genetic details of bladder tumoral changes at the single-cell level and a new method for assessing bladder cancer evolution at a cell-population level.

Original languageEnglish
Article number12
JournalGigaScience
Volume61
Issue number1
DOIs
StatePublished - 14 Aug 2012
Externally publishedYes

Keywords

  • Bladder cancer
  • Population genetics
  • Single-cell exome sequencing
  • Tumor evolution

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