Data Intensive Studies Center, Tufts University, Medford, Massachusetts; Section of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts; Bioinformatics Program, Boston University, Boston, Massachusetts.
Department of Translational Dental Medicine, Boston University School of Dental Medicine, Boston, Massachusetts; Molecular and Translational Medicine Program, Boston University School of Medicine, Boston, Massachusetts.
Transl Res. 2023 Oct;260:46-60. doi: 10.1016/j.trsl.2023.05.007. Epub 2023 Jun 21.
Head and neck cancers, which include oral squamous cell carcinoma (OSCC) as a major subsite, exhibit cellular plasticity that includes features of an epithelial-mesenchymal transition (EMT), referred to as partial-EMT (p-EMT). To identify molecular mechanisms contributing to OSCC plasticity, we performed a multiphase analysis of single cell RNA sequencing (scRNAseq) data from human OSCC. This included a multiresolution characterization of cancer cell subgroups to identify pathways and cell states that are heterogeneously represented, followed by casual inference analysis to elucidate activating and inhibitory relationships between these pathways and cell states. This approach revealed signaling networks associated with hierarchical cell state transitions, which notably included an association between β-catenin-driven CREB-binding protein (CBP) activity and mTORC1 signaling. This network was associated with subpopulations of cancer cells that were enriched for markers of the p-EMT state and poor patient survival. Functional analyses revealed that β-catenin/CBP induced mTORC1 activity in part through the transcriptional regulation of a raptor-interacting protein, chaperonin containing TCP1 subunit 5 (CCT5). Inhibition of β-catenin-CBP activity through the use of the orally active small molecule, E7386, reduced the expression of CCT5 and mTORC1 activity in vitro, and inhibited p-EMT-associated markers and tumor development in a murine model of OSCC. Our study highlights the use of multiresolution network analyses of scRNAseq data to identify targetable signals for therapeutic benefit, thus defining an underappreciated association between β-catenin/CBP and mTORC1 signaling in head and neck cancer plasticity.
头颈部癌症,包括口腔鳞状细胞癌(OSCC)作为主要的亚部位,表现出细胞可塑性,包括上皮-间充质转化(EMT)的特征,称为部分-EMT(p-EMT)。为了确定导致 OSCC 可塑性的分子机制,我们对头颈部癌症患者的单细胞 RNA 测序(scRNAseq)数据进行了多阶段分析。这包括对癌细胞亚群进行多分辨率特征分析,以确定异质表达的途径和细胞状态,然后进行因果推断分析,以阐明这些途径和细胞状态之间的激活和抑制关系。这种方法揭示了与细胞状态级联转换相关的信号网络,其中值得注意的是,β-catenin 驱动的 CREB 结合蛋白(CBP)活性与 mTORC1 信号之间存在关联。该网络与癌症细胞的亚群相关,这些亚群富含 p-EMT 状态和不良患者生存的标志物。功能分析表明,β-catenin/CBP 通过调节 raptor 相互作用蛋白、热休克蛋白 10 家族成员 5(CCT5)的转录,部分诱导 mTORC1 活性。通过使用口服活性小分子 E7386 抑制β-catenin/CBP 活性,降低了 CCT5 和 mTORC1 活性的表达,在 OSCC 的小鼠模型中抑制了 p-EMT 相关标志物和肿瘤的发展。我们的研究强调了使用 scRNAseq 数据的多分辨率网络分析来识别有治疗益处的靶向信号,从而定义了头颈部癌症可塑性中β-catenin/CBP 和 mTORC1 信号之间被低估的关联。