Hu Bin, Shi Xiaohua, Du Xiaohui, Xu Mingxin, Wang Qi, Zhao Hui
Ultrasound Department, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, PR China.
Pathology Department, Peking Union Medical College Hospital, Beijing 100730, PR China.
Clin Chim Acta. 2020 Sep;508:47-53. doi: 10.1016/j.cca.2020.04.036. Epub 2020 May 1.
Tumor-infiltrating immune cells play an essential role in prognosis and survival after therapy. However, previous works have not made clear about the diversity of distinct cell types that participate in the immune response. We determined the composition of tumor-infiltrating immune cells and their correlation with prognosis in lung cancer based on a metagene approach (known as CIBERSORT) and online databases.
A total of 22 tumor-infiltrating immune cells were estimated to confirm the associations between the immune infiltration pattern and survival. As a result, the proportions of activated NK cell, monocytes, M0 macrophages and M1 macrophages in 56 cancer samples were significantly higher than those in 56 paracancerous samples.
Univariate Cox regression analysis displayed that the proportions of NK cell and monocytes were significantly associated with prognosis. Hierarchical clustering analysis predicted five clusters by the method of within sum of squares errors (wss), which exhibited different infiltrating immune cell composition and prognosis.
The proportions of tumor-infiltrating immune cells as well as cluster patterns were associated with the prognosis, which provided potential therapeutic targets for lung cancer.
肿瘤浸润免疫细胞在治疗后的预后和生存中起着至关重要的作用。然而，以往的研究尚未明确参与免疫反应的不同细胞类型的多样性。我们基于元基因方法（称为CIBERSORT）和在线数据库确定了肺癌中肿瘤浸润免疫细胞的组成及其与预后的相关性。
共估计了22种肿瘤浸润免疫细胞，以确认免疫浸润模式与生存之间的关联。结果显示，56个癌症样本中活化自然杀伤细胞、单核细胞、M0巨噬细胞和M1巨噬细胞的比例显著高于56个癌旁样本。
单因素Cox回归分析显示，自然杀伤细胞和单核细胞的比例与预后显著相关。层次聚类分析采用误差平方和（wss）方法预测了五个聚类，其表现出不同的浸润免疫细胞组成和预后。
肿瘤浸润免疫细胞的比例以及聚类模式与预后相关，为肺癌提供了潜在的治疗靶点。
