The University of Texas MD Anderson Cancer Center, Department of Genetics, Houston, Texas 77030, USA.
1] The University of Texas MD Anderson Cancer Center, Department of Genetics, Houston, Texas 77030, USA [2] The University of Texas Graduate School of Biomedical Sciences, Houston, Texas 77030, USA.
Nature. 2014 Aug 14;512(7513):155-60. doi: 10.1038/nature13600. Epub 2014 Jul 30.
Sequencing studies of breast tumour cohorts have identified many prevalent mutations, but provide limited insight into the genomic diversity within tumours. Here we developed a whole-genome and exome single cell sequencing approach called nuc-seq that uses G2/M nuclei to achieve 91% mean coverage breadth. We applied this method to sequence single normal and tumour nuclei from an oestrogen-receptor-positive (ER(+)) breast cancer and a triple-negative ductal carcinoma. In parallel, we performed single nuclei copy number profiling. Our data show that aneuploid rearrangements occurred early in tumour evolution and remained highly stable as the tumour masses clonally expanded. In contrast, point mutations evolved gradually, generating extensive clonal diversity. Using targeted single-molecule sequencing, many of the diverse mutations were shown to occur at low frequencies (<10%) in the tumour mass. Using mathematical modelling we found that the triple-negative tumour cells had an increased mutation rate (13.3×), whereas the ER(+) tumour cells did not. These findings have important implications for the diagnosis, therapeutic treatment and evolution of chemoresistance in breast cancer.
对乳腺肿瘤队列的测序研究已经确定了许多常见的突变,但对肿瘤内的基因组多样性提供的了解有限。在这里,我们开发了一种全基因组和外显子单细胞测序方法,称为 nuc-seq,它使用 G2/M 核来实现 91%的平均覆盖广度。我们将这种方法应用于从雌激素受体阳性(ER(+))乳腺癌和三阴性导管癌中测序单个正常和肿瘤核。同时,我们进行了单细胞核拷贝数分析。我们的数据表明,非整倍体重排发生在肿瘤进化的早期,并随着肿瘤团块的克隆性扩张而保持高度稳定。相比之下,点突变逐渐进化,产生了广泛的克隆多样性。使用靶向单分子测序,许多不同的突变显示在肿瘤块中以低频率(<10%)发生。通过数学建模,我们发现三阴性肿瘤细胞的突变率(13.3×)增加,而 ER(+)肿瘤细胞则没有。这些发现对乳腺癌的诊断、治疗和化疗耐药性的进化具有重要意义。