Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Mol Cancer Res. 2022 Jan;20(1):102-113. doi: 10.1158/1541-7786.MCR-21-0471. Epub 2021 Sep 23.
Whole-genome sequencing of primary breast tumors enabled the identification of cancer driver genes and noncoding cancer driver plexuses from somatic mutations. However, differentiating driver from passenger events among noncoding genetic variants remains a challenge. Herein, we reveal cancer-driver -regulatory elements linked to transcription factors previously shown to be involved in development of luminal breast cancers by defining a tumor-enriched catalogue of approximately 100,000 unique -regulatory elements from 26 primary luminal estrogen receptor (ER) progesterone receptor (PR) breast tumors. Integrating this catalog with somatic mutations from 350 publicly available breast tumor whole genomes, we uncovered cancer driver cistromes, defined as the sum of binding sites for a transcription factor, for ten transcription factors in luminal breast cancer such as FOXA1 and ER, nine of which are essential for growth in breast cancer with four exclusive to the luminal subtype. Collectively, we present a strategy to find cancer driver cistromes relying on quantifying the enrichment of noncoding mutations over -regulatory elements concatenated into a functional unit. IMPLICATIONS: Mapping the accessible chromatin of luminal breast cancer led to discovery of an accumulation of mutations within cistromes of transcription factors essential to luminal breast cancer. This demonstrates coopting of regulatory networks to drive cancer and provides a framework to derive insight into the noncoding space of cancer.
对原发性乳腺癌进行全基因组测序,可从体细胞突变中鉴定出癌症驱动基因和非编码癌症驱动丛。然而,区分非编码遗传变异中的驱动事件和乘客事件仍然是一个挑战。在此,我们通过从 26 个原发性腔ER/PR 乳腺癌中定义大约 100,000 个独特的 -调控元件,揭示了与先前证明参与腔乳腺癌发生的转录因子相关的癌症驱动 -调控元件。将这个目录与 350 个公开的乳腺癌全基因组中的体细胞突变相结合,我们发现了癌症驱动 cistromes,定义为转录因子结合位点的总和,在腔乳腺癌中发现了十个转录因子,如 FOXA1 和 ER,其中九个对于乳腺癌的生长是必需的,其中四个是腔亚型所独有的。总之,我们提出了一种依赖于量化非编码突变在连接成功能单元的 -调控元件上的富集来寻找癌症驱动 cistromes 的策略。意义:对腔乳腺癌可及染色质的映射导致在对腔乳腺癌至关重要的转录因子的 cistromes 内积累了突变。这表明调节网络的劫持以驱动癌症,并为深入了解癌症的非编码空间提供了一个框架。