Gouin Kenneth H, Ing Nathan, Plummer Jasmine T, Rosser Charles J, Ben Cheikh Bassem, Oh Catherine, Chen Stephanie S, Chan Keith Syson, Furuya Hideki, Tourtellotte Warren G, Knott Simon R V, Theodorescu Dan
Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Nat Commun. 2021 Aug 12;12(1):4906. doi: 10.1038/s41467-021-25103-7.
Neoadjuvant chemotherapy (NAC) prior to surgery and immune checkpoint therapy (ICT) have revolutionized bladder cancer management. However, stratification of patients that would benefit most from these modalities remains a major clinical challenge. Here, we combine single nuclei RNA sequencing with spatial transcriptomics and single-cell resolution spatial proteomic analysis of human bladder cancer to identify an epithelial subpopulation with therapeutic response prediction ability. These cells express Cadherin 12 (CDH12, N-Cadherin 2), catenins, and other epithelial markers. CDH12-enriched tumors define patients with poor outcome following surgery with or without NAC. In contrast, CDH12-enriched tumors exhibit superior response to ICT. In all settings, patient stratification by tumor CDH12 enrichment offers better prediction of outcome than currently established bladder cancer subtypes. Molecularly, the CDH12 population resembles an undifferentiated state with inherently aggressive biology including chemoresistance, likely mediated through progenitor-like gene expression and fibroblast activation. CDH12-enriched cells express PD-L1 and PD-L2 and co-localize with exhausted T-cells, possibly mediated through CD49a (ITGA1), providing one explanation for ICT efficacy in these tumors. Altogether, this study describes a cancer cell population with an intriguing diametric response to major bladder cancer therapeutics. Importantly, it also provides a compelling framework for designing biomarker-guided clinical trials.
手术前的新辅助化疗(NAC)和免疫检查点疗法(ICT)彻底改变了膀胱癌的治疗方式。然而,确定最能从这些治疗方式中获益的患者分层仍然是一项重大的临床挑战。在此,我们将单核RNA测序与空间转录组学以及人类膀胱癌的单细胞分辨率空间蛋白质组分析相结合,以识别具有治疗反应预测能力的上皮亚群。这些细胞表达钙黏蛋白12(CDH12,N-钙黏蛋白2)、连环蛋白和其他上皮标志物。富含CDH12的肿瘤表明,无论是否接受NAC,患者术后预后均较差。相比之下,富含CDH12的肿瘤对ICT表现出更好的反应。在所有情况下,通过肿瘤CDH12富集进行患者分层比目前已确立的膀胱癌亚型能更好地预测预后。在分子水平上,CDH12细胞群类似于一种未分化状态,具有包括化疗耐药性在内的内在侵袭性生物学特性,可能是通过祖细胞样基因表达和成纤维细胞激活介导的。富含CDH12的细胞表达PD-L1和PD-L2,并与耗竭的T细胞共定位,可能是通过CD49a(整合素α1)介导的,这为这些肿瘤中ICT的疗效提供了一种解释。总之,本研究描述了一种对主要膀胱癌治疗药物具有有趣的截然相反反应的癌细胞群。重要的是,它还为设计生物标志物指导的临床试验提供了一个令人信服的框架。