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Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis

机译:通过生物信息分析确定肺腺癌的新型免疫亚型

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The magnitude of the immune response is closely associated with clinical outcome in patients with cancer. However, finding potential therapeutic targets for lung cancer in the immune system remains challenging. Here, we constructed a vital immune‐prognosis genes (VIPGs) based cluster of lung adenocarcinoma (LUAD) from IMMPORT databases and The Cancer Genome Atlas. A transcription factor regulatory network for the VIPGs was also established. The tumor microenvironment of LUAD was analyzed using the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm and single‐sample Gene Set Enrichment Analysis. The immune checkpoints and genomic alterations were explored in the different immune clusters. We identified 15 VIPGs for patients with LUAD and clustered the patients into low‐immunity and high‐immunity subtypes. The immune score, stromal score and ESTIMATE score were significantly higher in the high‐immunity subtype, whereas tumor purity was higher in the low‐immunity subtype. In addition, the immune checkpoints cytotoxic T lymphocyte associate protein‐4(CTLA4), programmed cell death protein‐1 and programmed death‐ligand were elevated in the low‐immunity subtype. The genomic results also showed that the tumor mutation burden was higher in the high‐immunity subtype. Finally, Gene Set Enrichment Analysis showed that several immune‐related gene sets, including interleukin‐2/STAT5 signaling, inflammatory response, interleukin‐6/Janus kinase(JAK)/signal transducer and activator of transcription 3 (STAT3) signaling, interferon‐gamma response and allograft rejection, were elevated in the high‐immunity subtype. Finally, high‐immunity patients exhibited greater overall and disease‐specific survival outcome compared with low‐immunity patients (log rank P =?0.013 and P =?0.0097). Altogether, here we have identified 15 immune‐prognosis genes and a potential immune subtype for patients with LUAD, which may provide new insights into the prognosis and treatment of LUAD.
机译:免疫应答的幅度与癌症患者的临床结果密切相关。然而,在免疫系统中寻找肺癌的潜在治疗目标仍然​​具有挑战性。在这里,我们构建了一种从Immport数据库和癌症基因组地图集的肺腺癌(Luad)的重要免疫预后基因(VIPGS)。还建立了VIPGS的转录因子监管网络。使用估计(使用表达数据估计恶性肿瘤组织中的基质和免疫细胞估计)算法和单样本基因设定富集分析来分析管道的肿瘤微环境。在不同的免疫簇中探讨了免疫检查点和基因组改变。我们确定了15名vipgs为鲁拉患者进行,将患者聚集成低免疫力和高免疫亚型。在高免疫亚型中,免疫评分,基质评分和估计分数显着高,而低免疫亚型肿瘤纯度较高。此外,免疫检查点细胞毒性T淋巴细胞促进蛋白-4(CTLA4),编程的细胞死亡蛋白-1和编程的死亡配体在低免疫性亚型中升高。基因组结果还表明,高免疫亚型肿瘤突变负担较高。最后,基因设定富集分析表明,几种免疫相关基因套,包括白细胞介素-2 / stat5信号传导,炎症反应,白细胞介素-6 / Janus激酶(Jak)/信号传感器和转录3(STAT3)信号传导,干扰素 - γ反应和同种异体移植物排斥在高免疫亚型中升高。最后,高免疫患者与低免疫患者相比表现出更大的总体和疾病特异性的存活结果(对数排名P = 0.013和P = 0.0097)。在这里,我们已经确定了杜拉患者的15个免疫预测基因和潜在的免疫亚型,这可能会对拉德的预后和治疗提供新的见解。

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