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PECAM-1表达水平在非小细胞肺癌中的预后意义

Prognostic Implication of the Expression Level of PECAM-1 in Non-small Cell Lung Cancer.

作者信息

Cao Shuhui, Wang Yue, Li Jingwen, Ling Xuxinyi, Zhang Yao, Zhou Yan, Zhong Hua

机构信息

Department of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.

出版信息

Front Oncol. 2021 Mar 22;11:587744. doi: 10.3389/fonc.2021.587744. eCollection 2021.

Abstract

Lung cancer is a malignant disease that threatens human health. Hence, it is crucial to identify effective prognostic factors and treatment targets. Single-cell RNA sequencing can quantify the expression profiles of transcripts in individual cells. GSE117570 profiles were downloaded from the Gene Expression Omnibus database. Key ligand-receptor genes in the tumor and the normal groups were screened to identify integrated differentially expressed genes (DEGs) from the GSE118370 and The Cancer Genome Atlas Lung Adenocarcinoma databases. DEGs associated with more ligand-receptor pairs were selected as candidate DEGs for Gene Ontology (GO) functional annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and survival analysis. In addition, we conducted validation immunohistochemical experiments on postoperative specimens of 30 patients with lung cancer. A total of 18 candidate DEGs were identified from the tumor and the normal groups. The analysis of the GO biological process revealed that these DEGs were mainly enriched in wound healing, in response to wounding, cell migration, cell motility, and regulation of cell motility, while the KEGG pathway analysis found that these DEGs were mainly enriched in proteoglycans in cancer, bladder cancer, malaria, tyrosine kinase inhibitor resistance in Epidermal Growth Factor Receptor (EGFR), and the ERBB signaling pathway. Survival analysis showed that a high, rather than a low, expression of platelet endothelial cell adhesion molecule-1 (PECAM-1) was associated with improved survival. Similarly, in postoperative patients with lung cancer, we found that the overall survival of the PECAM-1 high-expression group shows a better trend than the PECAM-1 low-expression group ( = 0.172). The candidate DEGs identified in this study may play some important roles in the occurrence and development of lung cancer, especially PECAM-1, which may present potential prognostic biomarkers for the outcome.

摘要

肺癌是一种威胁人类健康的恶性疾病。因此,识别有效的预后因素和治疗靶点至关重要。单细胞RNA测序可以量化单个细胞中转录本的表达谱。从基因表达综合数据库下载了GSE117570图谱。筛选肿瘤组和正常组中的关键配体-受体基因,以从GSE118370和癌症基因组图谱肺腺癌数据库中鉴定整合的差异表达基因(DEG)。选择与更多配体-受体对相关的DEG作为候选DEG,用于基因本体(GO)功能注释、京都基因与基因组百科全书(KEGG)通路分析和生存分析。此外,我们对30例肺癌患者的术后标本进行了验证性免疫组织化学实验。从肿瘤组和正常组中共鉴定出18个候选DEG。GO生物学过程分析表明,这些DEG主要富集于伤口愈合、对创伤的反应、细胞迁移、细胞运动以及细胞运动的调节,而KEGG通路分析发现这些DEG主要富集于癌症中的蛋白聚糖、膀胱癌、疟疾、表皮生长因子受体(EGFR)中的酪氨酸激酶抑制剂抗性以及ERBB信号通路。生存分析表明,血小板内皮细胞黏附分子-1(PECAM-1)的高表达而非低表达与生存率提高相关。同样,在肺癌术后患者中,我们发现PECAM-1高表达组的总生存率显示出比PECAM-1低表达组更好的趋势(P = 0.172)。本研究中鉴定出的候选DEG可能在肺癌的发生发展中发挥一些重要作用,尤其是PECAM-1,它可能是预后结果的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61b9/8019905/39187acc2f55/fonc-11-587744-g0001.jpg

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