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首页> 外文期刊>Oncoimmunology. >Identification of a costimulatory molecule-based signature for predicting prognosis risk and immunotherapy response in patients with lung adenocarcinoma
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Identification of a costimulatory molecule-based signature for predicting prognosis risk and immunotherapy response in patients with lung adenocarcinoma

机译:鉴定肺腺癌患者预测预测风险和免疫疗法应对的基于刺激分子的鉴定

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Background: Costimulatory molecules play significant roles in mounting anti-tumor immune responses, and antibodies targeting these molecules are recognized as promising adjunctive cancer immunotherapies. Here, we aim to conduct a first full-scale exploration of costimulatory molecules from the B7-CD28 and TNF families in patients with lung adenocarcinoma (LUAD) and generated a costimulatory molecule-based signature (CMS) to predict survival and response to immunotherapy. Methods: We enrolled 1549 LUAD cases across 10 different cohorts and included 502 samples from TCGA for discovery. The validation set included 970 cases from eight different Gene Expression Omnibus (GEO) datasets and 77 frozen tumor tissues with qPCR data. The underlying mechanisms and predictive immunotherapy capabilities of the CMS were also explored. Results: A five gene-based CMS (CD40LG, TNFRSF6B, TNFSF13, TNFRSF13C, and TNFRSF19) was initially constructed using the bioinformatics method from TCGA that classifies cases as high- vs. low-risk groups per OS. Multivariable Cox regression analysis confirmed that the CMS was an independent prognostic factor. As expected, CMS exhibited prognostic significance in the stratified cohorts and different validation cohorts. Additionally, the prognostic meta-analysis revealed that CMS was superior to the previous signature. Samples in high- and low-risk groups exhibited significantly different tumor-infiltrating leukocytes and inflammatory activities. Importantly, we found that the CMS scores were closely related to multiple immunotherapy biomarkers. Conclusion: We conducted the first and most comprehensive costimulatory molecule landscape analysis of patients with LUAD and built a clinically feasible CMS for prognosis and immunotherapy response prediction, which will be helpful for further optimize immunotherapies for cancer. ?2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
机译:背景:性刺激分子在安装抗肿瘤免疫应答中起显着作用,并且靶向这些分子的抗体被认为是有前途的辅助癌症免疫治疗。在这里,我们的目标是对来自B7-CD28和TNF家族的第一次全面探索肺腺癌(Luad)患者,并产生一种基于共拖延分子的签名(CMS)以预测对免疫疗法的生存和反应。方法:我们注册了1549例水路案例,跨越10个不同的队列,包括来自TCGA的502个样本进行发现。验证集包括来自八种不同基因表达综合(Geo)数据集的970例,并具有QPCR数据的77个冷冻肿瘤组织。还探讨了CMS的潜在机制和预测免疫疗程。结果:最初使用来自TCGA的生物信息学方法,将来自TCGA的生物信息化方法初始构建五种基于基因的CMS(CD40LG,TNFRSF6B,TNFSF13,TNFRSF13C和TNFRSF19),该方法将病例分类为每个OS的低风险群。多变量COX回归分析证实CMS是一个独立的预后因子。正如预期的那样,CMS在分层队列和不同验证队列中表现出预后意义。另外,预后的Meta分析显示CMS优于前一个签名。高风险群体中的样品显着不同肿瘤渗透白细胞和炎症活性。重要的是,我们发现CMS评分与多种免疫疗法生物标志物密切相关。结论:我们对拉德患者进行了第一和最全面的共同刺激分子景观分析,并为预后和免疫治疗反应预测建立了临床可行的CMS,这将有助于进一步优化癌症免疫治疗。 ?2020作者。泰勒和弗朗西斯集团,LLC发布牌照。

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