Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain.
Institute of Biomedical Research Hospital "12 de Octubre" (imas12), 28041 Madrid, Spain.
Int J Mol Sci. 2023 Oct 18;24(20):15284. doi: 10.3390/ijms242015284.
There is a clear need to expand the toolkit of adequate mouse models and cell lines available for preclinical studies of high-grade neuroendocrine lung carcinoma (small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC)). SCLC and LCNEC are two highly aggressive tumor types with dismal prognoses and few therapeutic options. Currently, there is an extreme paucity of material, particularly in the case of LCNEC. Given the lack of murine cell lines and transplant models of LCNEC, the need is imperative. In this study, we generated and examined new models of LCNEC and SCLC transplantable cell lines derived from our previously developed primary mouse LCNEC and SCLC tumors. RNA-seq analysis demonstrated that our cell lines and syngeneic tumors maintained the transcriptome program from the original transgenic primary tumor and displayed strong similarities to human SCLC or LCNEC. Importantly, the SCLC transplanted cell lines showed the ability to metastasize and mimic this characteristic of the human condition. In summary, we generated mouse cell line tools that allow further basic and translational research as well as preclinical testing of new treatment strategies for SCLC and LCNEC. These tools retain important features of their human counterparts and address the lack of LCNEC disease models.
显然需要扩展适用于高级神经内分泌肺癌(小细胞肺癌 (SCLC) 和大细胞神经内分泌癌 (LCNEC))临床前研究的合适小鼠模型和细胞系工具包。SCLC 和 LCNEC 是两种具有侵袭性的肿瘤类型,预后不良,治疗选择有限。目前,材料极其缺乏,特别是在 LCNEC 的情况下。鉴于缺乏 LCNEC 的小鼠细胞系和移植模型,这种需求是迫切的。在这项研究中,我们生成并检查了源自我们先前开发的原发性小鼠 LCNEC 和 SCLC 肿瘤的新型可移植 LCNEC 和 SCLC 细胞系模型。RNA-seq 分析表明,我们的细胞系和同基因肿瘤保留了原始转基因原发性肿瘤的转录组程序,并与人类 SCLC 或 LCNEC 显示出很强的相似性。重要的是,移植的 SCLC 细胞系显示出转移的能力,并模拟了这种人类疾病的特征。总之,我们生成了小鼠细胞系工具,可进一步进行基础和转化研究,以及对 SCLC 和 LCNEC 的新治疗策略进行临床前测试。这些工具保留了其人类对应物的重要特征,并解决了 LCNEC 疾病模型的缺乏。