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首页> 外文期刊>Journal of Cancer >Comprehensive Analysis of the Tumor Microenvironment in Cutaneous Melanoma associated with Immune Infiltration
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Comprehensive Analysis of the Tumor Microenvironment in Cutaneous Melanoma associated with Immune Infiltration

机译:免疫渗透相关皮肤瘤中肿瘤微环境的综合分析

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摘要

Accumulating evidence suggests that the malignant phenotypes of cancers are determined not only by the intrinsic properties of cancer cells but also by components in the tumor microenvironment (TME). In this study, we comprehensively characterized the TME of cutaneous melanoma (CM). As a result, tumor stage, tissue site, ulceration, thickness as well as patient age, sex were associated with immune infiltration. Patients of higher immune infiltration exhibited better survival outcomes, and antitumor effector cells, such as CD8 T cells and M1 macrophages, were found in significantly higher numbers in those tissues. Differential expression of mRNAs and long non-coding RNAs (lncRNAs) was analyzed and utilized to construct an immune-related competing endogenous RNA network, in which a lncRNA-associated subnetwork that could positively regulate the expression of IFN-γ was highlighted. Functional analysis confirmed that this network was remarkably enriched in functional terms related to both immune response and tumor-intrinsic pathways. Finally, a total of 109 high-confidence prognostic genes were identified, and a gene module that contained several key immune checkpoint molecules or modulators (PD-1, PD-L1, PD-L2, and LCK) was screened, which confers survival benefit for CM patients as supported by both overall and relapse-free survival rates from different datasets.? The author(s).
机译:积累证据表明,癌症的恶性表型不仅由癌细胞的内在特性确定,而且是通过肿瘤微环境(TME)中的组分。在这项研究中,我们全面地表征了皮肤黑素瘤(CM)的TME。结果,肿瘤阶段,组织部位,溃疡,厚度以及患者年龄,性别与免疫浸润有关。更高的免疫浸润的患者表现更好存活结果,和抗肿瘤效应细胞,例如CD8 T细胞和巨噬细胞M1,在那些组织显著较高的数字被发现了。进行分析的mRNA和长的非编码RNA(lncRNAs)的差异表达和用于构建免疫相关竞争内源RNA网络,其中一个lncRNA相关子网络,可以正向调节IFN-γ的表达得到了强调。功能分析证实,该网络以与免疫应答和肿瘤内在途径相关的功能术语显着富集。最后,筛选了总共109个高置信型预后基因,并筛选了包含几个关键免疫检查点分子或调节剂(PD-1,PD-L1,PD-L2和LCK)的基因模块,赋予生存效益对于来自不同数据集的总体和复发的生存率的支持CM患者。作者。

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