An integrated analysis of single-cell and bulk transcriptomics reveals EFNA1 as a novel prognostic biomarker for cervical cancer

宫颈癌 医学 肿瘤科 癌变 生物标志物 癌症 内科学 列线图 比例危险模型 癌症研究 生物信息学 生物 遗传学
作者
Xiaopeng Shen,Meng Li,Lei Yang,Shan Lu,Sufen Wang,Zhongxian Liu,Chunguang Wang,Yun Zhao,Ao Wang,Chao Bi,Guoping Zhu
出处
期刊:Human Cell [Springer Science+Business Media]
卷期号:35 (2): 705-720 被引量:6
标识
DOI:10.1007/s13577-022-00679-4
摘要

Cervical cancer is a serious threat to women's health and lives worldwide. The recovery and survival of cervical cancer can be improved by customizing therapy strategies based on individual-specific gene expression patterns. EFNA1 was reported to be dysregulated in many cancers and associated with their overall survivals, but its prognostic value in cervical cancer is still unclear. In this study, we performed analyses on the single-cell and bulk RNA sequencing data to study the role of EFNA1 in cervical cancer. EFNA1 was found to be significantly upregulated in cervical cancer tissue, especially the cancer cell subgroup within tumors, which was verified by immunohistochemistry. Through Cox regressions, we found that high EFNA1 expression is an independent risk factor for cervical cancer. Nomogram analysis indicated that EFNA1 could be a predicting factor for the survival probabilities of cervical cancer. Gene ontology and pathway analyses showed that EFNA1 was involved in many tumorigenesis pathways, protein, and virus productions. These findings suggested that EFNA1 could be a prognostic biomarker and potential therapeutic target for cervical cancer.
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