Integrated Analysis of the <scp>LncRNA</scp> ‐Mediated <scp>ceRNA</scp> Network Associated With Prognosis in Posttreatment Recurrent Nasopharyngeal Carcinoma

The competing endogenous RNA hypothesis offers new insights into tumour progression, yet its role in posttreatment nasopharyngeal carcinoma relapse remains unclear. This study constructed ceRNA networks to identify molecular markers associated with NPC relapse. Three pairs of primary and relapse NPC tissue samples, along with their matched adjacent tissues, were collected for the RNA and miRNA sequencing, screened and identified relapse-related specific differentially expressed genes. We identified relapse-specific differentially expressed genes and functional analyses revealed enrichment in translation, biosynthesis, metabolism, TCA cycle, cell cycle, p53 signalling and immune pathways. Then these relapse-associated differentially expressed mRNAs, lncRNAs, and miRNAs were utilised to construct regulatory networks, resulting in a ceRNA network comprising 813 mRNAs, 143 lncRNAs, and 24 miRNAs, along with a survival-associated subnetwork of 23 mRNAs. Key mRNAs, such as UBC, PLA2R1, PTPRO, SMC5, PFN2, TIMM17B, NT5E and PCSK5, were validated via qPCR in NPC cell lines and tissues. To our knowledge, this is the first study to construct a comprehensive ceRNA network specifically for posttreatment recurrent NPC. These findings highlight the ceRNA network as a valuable framework for elucidating the mechanisms of NPC relapse and for identifying potential biomarkers for prognosis and therapeutic targets in recurrent nasopharyngeal carcinoma.

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Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2025-12-01
DOI
https://doi.org/10.1111/jcmm.70973
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

Integrated Analysis of the LncRNA ‐Mediated ceRNA Network Associated With Prognosis in Posttreatment Recurrent Nasopharyngeal Carcinoma

Wenbin Lei, Jingxiao Lu, Guohui Nie, Kexing Lyu et al.
Journal of Cellular and Molecular Medicine
Cancer-related molecular mechanisms research
article

Integrated Analysis of the LncRNA ‐Mediated ceRNA Network Associated With Prognosis in Posttreatment Recurrent Nasopharyngeal Carcinoma

Wenbin Lei, Jingxiao Lu, Guohui Nie, Kexing Lyu, Zhi‐Qiang Wang, Qihong Liu, Beiping Miao, Xiaoqin Fan, Jianhui Wu, Qingming Li
article en

Abstract

The competing endogenous RNA hypothesis offers new insights into tumour progression, yet its role in posttreatment nasopharyngeal carcinoma relapse remains unclear. This study constructed ceRNA networks to identify molecular markers associated with NPC relapse. Three pairs of primary and relapse NPC tissue samples, along with their matched adjacent tissues, were collected for the RNA and miRNA sequencing, screened and identified relapse-related specific differentially expressed genes. We identified relapse-specific differentially expressed genes and functional analyses revealed enrichment in translation, biosynthesis, metabolism, TCA cycle, cell cycle, p53 signalling and immune pathways. Then these relapse-associated differentially expressed mRNAs, lncRNAs, and miRNAs were utilised to construct regulatory networks, resulting in a ceRNA network comprising 813 mRNAs, 143 lncRNAs, and 24 miRNAs, along with a survival-associated subnetwork of 23 mRNAs. Key mRNAs, such as UBC, PLA2R1, PTPRO, SMC5, PFN2, TIMM17B, NT5E and PCSK5, were validated via qPCR in NPC cell lines and tissues. To our knowledge, this is the first study to construct a comprehensive ceRNA network specifically for posttreatment recurrent NPC. These findings highlight the ceRNA network as a valuable framework for elucidating the mechanisms of NPC relapse and for identifying potential biomarkers for prognosis and therapeutic targets in recurrent nasopharyngeal carcinoma.

Journal of Cellular and Molecular MedicineVol. 29(23)
Sun Yat-sen University (CN), Zhongshan People's Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Shenzhen Second People's Hospital (CN), Eighth Affiliated Hospital of Sun Yat-sen University
Openalex Percentile: Top 52%
Cancer-related molecular mechanisms research
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