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Genomic Analysis of Tumor Microenvironment Immune Types across 14 Solid Cancer Types: Immunotherapeutic Implications

机译:跨越14种实体癌类型的肿瘤微环境免疫类型的基因组分析:免疫治疗意义

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摘要

We performed a comprehensive immuno-genomic analysis of tumor microenvironment immune types (TMITs), which is classified into four groups based on PD-L1+CD8A or PD-L1+cytolytic activity (CYT) expression, across a broad spectrum of solid tumors in order to help identify patients who will benefit from anti- PD-1/PD-L1 therapy. The mRNA sequencing data from The Cancer Genome Atlas (TCGA) of 14 solid cancer types representing 6,685 tumor samples was analyzed. TMIT was classified only for those tumor types that both PD-L1 and CD8A/CYT could prefict mutation and/or neoantigen number. The mutational and neoepitope features of the tumor were compared according to the four TMITs. We found that PD-L1/CD8A/CYT subgroups could not distinguish different mutation and neoantigen numbers in certain tumor types such as glioblastoma multiforme, prostate adenocarcinoma, and head and neck and lung squamous cell carcinoma. For the remaining tumor types, compared with TIMT II (low PD-L1 and CD8A/CYT), TIMT I (high PD-L1 and CD8A/CYT) had a significantly higher number of mutations or neoantigens in bladder urothelial carcinoma, breast and cervical cancer, colorectal, stomach and lung adenocarcinoma, and melanoma. In contrast, TMIT I of kidney clear cell, liver hepatocellular, and thyroid carcinoma were negatively correlated with mutation burden or neoantigen numbers. Our findings show that the TMIT stratification proposed could serve as a favorable approach for tailoring optimal immunotherapeutic strategies in certain tumor types. Going forward, it will be important to test the clinical practicability of TMIT based on quantification of immune infiltrates using mRNA-seq to predict clinical response to these and other immunotherapeutic strategies in more different tumors.
机译:我们对肿瘤的微环境免疫类型(TMIT)进行了全面的免疫基因组分析,根据PD-L1 + CD8A或PD-L1 +溶细胞活性(CYT)表达,它在广泛的实体瘤中分为四类。为了帮助确定将受益于抗PD-1 / PD-L1治疗的患者。分析了代表6685个肿瘤样品的14种实体癌类型的癌症基因组图谱(TCGA)的mRNA测序数据。 TMIT仅针对PD-L1和CD8A / CYT均可预测突变和/或新抗原数量的那些肿瘤类型进行分类。根据四个TMIT比较了肿瘤的突变和新表位特征。我们发现PD-L1 / CD8A / CYT亚组不能区分某些类型的肿瘤(如多形性胶质母细胞瘤,前列腺腺癌以及头颈部和肺鳞状细胞癌)中的不同突变和新抗原数量。对于其余的肿瘤类型,与TIMT II(低PD-L1和CD8A / CYT)相比,TIMT I(高PD-L1和CD8A / CYT)在膀胱尿路上皮癌,乳腺癌和宫颈癌中具有明显更高的突变或新抗原数量癌症,大肠癌,胃和肺腺癌和黑色素瘤。相反,肾透明细胞,肝肝细胞癌和甲状腺癌的TMIT I与突变负荷或新抗原数量呈负相关。我们的研究结果表明,建议的TMIT分层可作为在某些肿瘤类型中调整最佳免疫治疗策略的有利方法。展望未来,基于mRNA-seq免疫浸润的定量来预测TMIT的临床实用性对预测更多不同肿瘤对这些和其他免疫治疗策略的临床反应将至关重要。

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