A New Strategy to Identify ceRNA-Based CCDC144NL-AS1/SERPINE1 Regulatory Axis as a Novel Prognostic Biomarker for Stomach Adenocarcinoma via High Throughput Transcriptome Data Mining and Computational Verification

Stomach adenocarcinoma (STAD) is one of the most malignant cancers that endanger human health. There is growing evidence that competitive endogenous RNA (ceRNA) regulatory networks play an important role in various human tumors. However, the complexity and behavioral characteristics of the ceRNA net...

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Vydané v:Frontiers in oncology Ročník 11; s. 802727
Hlavní autori: Huang, Zhihong, Liu, Xinkui, Wu, Chao, Lu, Shan, Antony, Stalin, Zhou, Wei, Zhang, Jingyuan, Wu, Zhishan, Tan, Yingying, Fan, Xiaotian, You, Leiming, Jing, Zhiwei, Wu, Jiarui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland Frontiers Media S.A 27.01.2022
Predmet:
CCDC144NL-AS1/SERPINE1 axis
competitive endogenous RNA
high throughput transcriptome data mining and computational verification
Oncology
prognostic biomarker
stomach adenocarcinoma
prognostic biomarker
high throughput transcriptome data mining and computational verification
competitive endogenous RNA
stomach adenocarcinoma
CCDC144NL-AS1/SERPINE1 axis
ISSN:2234-943X, 2234-943X
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Shrnutí:Stomach adenocarcinoma (STAD) is one of the most malignant cancers that endanger human health. There is growing evidence that competitive endogenous RNA (ceRNA) regulatory networks play an important role in various human tumors. However, the complexity and behavioral characteristics of the ceRNA network in STAD are still unclear. In this study, we constructed a ceRNA regulatory network to identify the potential prognostic biomarkers associated with STAD. The expression profile of lncRNA, miRNA, and mRNA was downloaded from The Cancer Genome Atlas (TCGA). After performing bioinformatics analysis, the CCDC144NL-AS1/hsa-miR-145-5p/SERPINE1 ceRNA network associated to STAD prognosis of STAD was obtained. The CCDC144NL-AS1/SERPINE1 axis in the ceRNA network was identified by correlation analysis and considered as a clinical prognosis model by Cox regression analysis. In addition, methylation analysis indicated that the abnormal upregulation of CCDC144NL-AS1/SERPINE1 axis might be related to the aberrant methylation of some sites, and immune infiltration analysis suggested that CCDC144NL-AS1/SERPINE1 axis probably influences the alteration of tumor immune microenvironment and the occurrence and development of STAD. In particular, the CCDC144NL-AS1/SERPINE1 axis based on the ceRNA network constructed in the present study might be an important novel factor correlating with the diagnosis and prognosis of STAD.
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Edited by: Zijun Wang, The Rockefeller University, United States
Reviewed by: Kai Zhang, Zhengzhou University, China; Weijian Bei, Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, China; Mei-zhou Huang, Southwest Medical University, China
This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Oncology
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2021.802727