Department of Pathology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Department of Surgery, Division of Urology, Pennsylvania State University College of Medicine, PA, USA.
Sci Rep. 2016 Dec 7;6:38531. doi: 10.1038/srep38531.
Discrete bladder cancer molecular subtypes exhibit differential clinical aggressiveness and therapeutic response, which may have significant implications for identifying novel treatments for this common malignancy. However, research is hindered by the lack of suitable models to study each subtype. To address this limitation, we classified bladder cancer cell lines into molecular subtypes using publically available data in the Cancer Cell Line Encyclopedia (CCLE), guided by genomic characterization of bladder cancer by The Cancer Genome Atlas (TCGA). This identified a panel of bladder cancer cell lines which exhibit genetic alterations and gene expression patterns consistent with luminal and basal molecular subtypes of human disease. A subset of bladder cancer cell lines exhibit in vivo histomorphologic patterns consistent with luminal and basal subtypes, including papillary architecture and squamous differentiation. Using the molecular subtype assignments, and our own RNA-seq analysis, we found overexpression of GATA3 and FOXA1 cooperate with PPARɣ activation to drive transdifferentiation of a basal bladder cancer cells to a luminial phenotype. In summary, our analysis identified a set of human cell lines suitable for the study of molecular subtypes in bladder cancer, and furthermore indicates a cooperative regulatory network consisting of GATA3, FOXA1, and PPARɣ drive luminal cell fate.
离散的膀胱癌分子亚型表现出不同的临床侵袭性和治疗反应,这可能对确定这种常见恶性肿瘤的新治疗方法具有重要意义。然而,由于缺乏合适的模型来研究每种亚型,研究受到了阻碍。为了解决这一限制,我们使用癌症细胞系百科全书(CCLE)中公开可用的数据,根据癌症基因组图谱(TCGA)对膀胱癌的基因组特征,对膀胱癌细胞系进行了分子亚型分类。这确定了一组膀胱癌细胞系,它们表现出与人类疾病的腔型和基底分子亚型一致的遗传改变和基因表达模式。一部分膀胱癌细胞系表现出与腔型和基底亚型一致的体内组织形态学模式,包括乳头状结构和鳞状分化。使用分子亚型分配,以及我们自己的 RNA-seq 分析,我们发现 GATA3 和 FOXA1 的过表达与 PPARɣ 激活合作,驱动基底膀胱癌细胞向腔型表型的转分化。总之,我们的分析确定了一组适合膀胱癌分子亚型研究的人类细胞系,并且进一步表明由 GATA3、FOXA1 和 PPARɣ 组成的协同调控网络驱动腔型细胞命运。