Literature DB >> 24699064

Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing.

Chang Yu1, Jun Yu2, Xiaotian Yao1, William K K Wu2, Youyong Lu3, Senwei Tang4, Xiangchun Li1, Li Bao1, Xiaoxing Li2, Yong Hou5, Renhua Wu1, Min Jian1, Ruoyan Chen6, Fan Zhang7, Lixia Xu2, Fan Fan1, Jun He4, Qiaoyi Liang2, Hongyi Wang8, Xueda Hu1, Minghui He1, Xiang Zhang2, Hancheng Zheng1, Qibin Li1, Hanjie Wu1, Yan Chen1, Xu Yang1, Shida Zhu1, Xun Xu1, Huanming Yang1, Jian Wang1, Xiuqing Zhang1, Joseph J Y Sung2, Yingrui Li1, Jun Wang9.   

Abstract

Single-cell sequencing is a powerful tool for delineating clonal relationship and identifying key driver genes for personalized cancer management. Here we performed single-cell sequencing analysis of a case of colon cancer. Population genetics analyses identified two independent clones in tumor cell population. The major tumor clone harbored APC and TP53 mutations as early oncogenic events, whereas the minor clone contained preponderant CDC27 and PABPC1 mutations. The absence of APC and TP53 mutations in the minor clone supports that these two clones were derived from two cellular origins. Examination of somatic mutation allele frequency spectra of additional 21 whole-tissue exome-sequenced cases revealed the heterogeneity of clonal origins in colon cancer. Next, we identified a mutated gene SLC12A5 that showed a high frequency of mutation at the single-cell level but exhibited low prevalence at the population level. Functional characterization of mutant SLC12A5 revealed its potential oncogenic effect in colon cancer. Our study provides the first exome-wide evidence at single-cell level supporting that colon cancer could be of a biclonal origin, and suggests that low-prevalence mutations in a cohort may also play important protumorigenic roles at the individual level.

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Year:  2014        PMID: 24699064      PMCID: PMC4042168          DOI: 10.1038/cr.2014.43

Source DB:  PubMed          Journal:  Cell Res        ISSN: 1001-0602            Impact factor:   25.617


  25 in total

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  62 in total

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Review 6.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

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