Immune Infiltration Profiling in Nonsmall Cell Lung Cancer and Their Clinical Significance: Study Based on Gene Expression Measurements
Immune Infiltration Profiling in Nonsmall Cell Lung Cancer and Their Clinical Significance: Study Based on Gene Expression Measurements
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非小细胞肺癌的免疫浸润分析及其临床意义：基于基因表达测量的研究
DOI：
10.1089/dna.2019.4899
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发表时间：
2019-09-24
影响因子：
3.1
通讯作者：
Yan, Hong
中科院分区：
文献类型：
--
作者：
Chen, Fangyao;Yang, Yuhui;Yan, Hong
免疫细胞浸润与癌症的预后相关。本研究旨在探讨非小细胞肺癌（NSCLC）免疫浸润特征及其与生存结局的关系。研究数据来自Gene Expression Omnibus和The Cancer Genome Atlas数据库。采用CIBERSORT算法计算22种免疫细胞的相对比例。采用对数秩检验比较不同免疫细胞比例患者的生存结局。估计的风险比用森林图表示。进行多变量考克斯回归分析，以估计不同类型的浸润性免疫细胞与生存预后之间的校正相关性，控制其他临床特征和混杂因素。采用CIBERSORT方法，我们评估了2050例NSCLC患者中22种浸润免疫细胞的比例。通过进行生存分析，我们发现不同比例的某些类型的浸润免疫细胞的情况下，不同的生存结果。在研究的细胞亚群中，浆细胞（风险比[HR] = 0.775，95%置信区间[CI]：0.669-0.898）和调节性T细胞（HR = 1.258，95% CI：1.091-1.451）与NSCLC患者的生存结局相关，控制了其他协变量。亚组分析表明，我们的结果具有良好的一致性和鲁棒性。本研究结果可为非小细胞肺癌的预后判断和细胞学研究提供有用的信息。
Immune cell infiltration is associated with the prognosis of cancer. This study focused on the immune infiltration profiling and their association with survival outcome in nonsmall cell lung cancer (NSCLC). Research data were obtained from the Gene Expression Omnibus and The Cancer Genome Atlas databases. CIBERSORT algorithm was applied to assess the relative proportions of 22 kinds of immune cells. Log-rank test was performed to compare the survival outcome of patients with different proportions of immune cells. The estimated hazard ratios were presented with forest plot. Multivariate Cox regression analysis was conducted to estimate the adjusted associations between different types of infiltrating immune cells and survival prognosis controlling for other clinical features and confounders. With the CIBERSORT approach, we assessed the proportions of 22 infiltrating immune cells of 2050 cases with NSCLC. By conducting survival analysis, we found different survival outcomes among cases with different proportions of certain types of infiltrating immune cells. Among the cell subsets investigated, plasma cells (hazard ratio [HR] = 0.775, 95% confidence interval [CI]: 0.669-0.898) and regulatory T cells (HR = 1.258, 95% CI: 1.091-1.451) were associated with survival outcome of NSCLC patients controlling for other covariates. Subgroup analysis suggested a good consistency and robustness of our results. Our findings might provide useful information for prognosis prediction and cellular study in NSCLC.