Zhou Yong, Fan Yongfei, Mao Yifeng, Lou Ming, Liu Xiaoshuang, Yuan Kai, Tong Jichun
The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China.
Heart & Lung Disease Laboratory, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, 213003, China.
Biomark Med. 2022 May;16(7):523-535. doi: 10.2217/bmm-2021-1090. Epub 2022 Feb 24.
Non-small-cell lung cancer (NSCLC) is the leading cause of cancer-related deaths. The protein plays a significant role in tumor development. We set up a tissue microarray (containing 140 NSCLC and ten normal lung tissues) and performed immunohistochemistry to assess expression in the tissues of 140 patients. The prognostic value of in NSCLC was assessed using the univariate and multivariate Cox proportional hazards regression models and Kaplan-Meier plots. We analyzed the association between and immune infiltration in NSCLC. Multifactorial analysis and Kaplan-Meier plots revealed that upregulation of expression was an independent factor in the prognosis of NSCLC. Data from CIBERSORT showed a negative correlation between and the expression of memory CD4 T cells, CD8 T cells, dendritic cells, macrophages, mast cells and natural killer cells (p < 0.001). Gene set enrichment analysis revealed that cell cycle, adhesion and proliferation were significantly enriched in samples with a high expression. is a novel biomarker of prognosis and is associated with immune cell infiltration in the tumor microenvironment. Thus it may be a potential target in NSCLC treatment.
非小细胞肺癌（NSCLC）是癌症相关死亡的主要原因。该蛋白在肿瘤发展中起重要作用。我们构建了一个组织芯片（包含140例NSCLC组织和10例正常肺组织），并进行免疫组织化学以评估140例患者组织中的表达情况。使用单因素和多因素Cox比例风险回归模型以及Kaplan-Meier曲线评估在NSCLC中的预后价值。我们分析了与NSCLC中免疫浸润之间的关联。多因素分析和Kaplan-Meier曲线显示，表达上调是NSCLC预后的独立因素。来自CIBERSORT的数据显示与记忆性CD4 T细胞、CD8 T细胞、树突状细胞、巨噬细胞、肥大细胞和自然杀伤细胞的表达呈负相关（p < 0.001）。基因集富集分析表明细胞周期、黏附和增殖在高表达样本中显著富集。是一种新的预后生物标志物，并且与肿瘤微环境中的免疫细胞浸润相关。因此它可能是NSCLC治疗中的一个潜在靶点。
