The Indication of Poor Prognosis by High Expression of ENO1 in Squamous Cell Carcinoma of the Lung.
Wan-Ying HuangGang ChenShang-Wei ChenYi-Wu DangYun DengHua-Fu ZhouJin-Liang KongYu ZhangJun-Xian MoChang-Bo LiJuan HePublished in: Journal of oncology (2021)
The purpose of this study is to investigate the significance of alpha-enolase (ENO1) expression in squamous cell carcinoma of the lung (LUSC), its prognostic value, and prospective molecular mechanism. Using multiplatforms data, including in-house immunohistochemistry, in-house real-time fluorescence quantitative polymerase chain reaction (RT-qPCR), in-house microarray, and public high-throughput data, the expression significance and prognostic role of ENO1 in LUSC tissues were analyzed comprehensively. With the combination of all eligible cases, compared with 941 non-LUSC lung tissues, ENO1 was significantly overexpressed in 1163 cases of LUSC (standardized mean difference (SMD) = 1.23, 95% confidence interval (CI) = 0.76-1.70, P < 0.001). ENO1 also displayed a great ability to differentiate LUSC tissues from non-LUSC lung tissues (AUC = 0.8705) with the comprehensive sensitivity being 0.88 [0.83-0.92], and comprehensive specificity being 0.89 [0.84-0.94]). Moreover, in 1860 cases of LUSC with survival information, patients with higher expression of ENO1 had poorer prognosis (hazard ratio (HR) = 1.20, 95% CI = 1.01-1.43, P = 0.043). ENO1 and its related genes mainly participated in the pathways of cell division and proliferation. In conclusion, the upregulation of ENO1 could affect the carcinogenesis and unfavorable outcome of LUSC.
Keyphrases
- binding protein
- poor prognosis
- squamous cell carcinoma
- long non coding rna
- gene expression
- high throughput
- healthcare
- cell proliferation
- big data
- lymph node metastasis
- emergency department
- bone marrow
- single molecule
- machine learning
- mesenchymal stem cells
- radiation therapy
- locally advanced
- data analysis
- mass spectrometry
- structural basis
- free survival