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Exploration and validation of ceRNA regulatory networks in colorectal cancer based on associations whole transcriptome sequencing
Zhang, Lulu1; Li, Yulei2; Fu, Chao3; Yang, Li Xia1; Li, Gang3; Wu, Yiyang3; Tong, Huanjun2; Tian, Guojiang3; Wang, Kaifang4; Wang, Jun2; Ying, Xiaojiang3; Li, Zhenjun3
2024-12-01
Source PublicationScientific Reports
ISSN2045-2322
Volume14Issue:1Pages:20446
Abstract

Colorectal cancer (CRC) is a wide-spread gastrointestinal cancer that is associated with augmented morbidity and mortality, and we do not yet have a deep understanding of its epidemiology and carcinogenicity. The transcriptome can reveal the complexity and heterogeneity of tumors and uncover new biomarkers or treatment options. In this study, we identified messenger RNAs (mRNAs), long non-coding RNAs (lncRNAs), round RNAs (circRNAs), and microRNAs (miRNAs) using whole-transcriptome sequencing and generated competing endogenous RNA (ceRNA) modulatory axes. We conducted whole transcriptome sequencing on 10 CRC and para-cancer (CRCP) samples and discovered 2465 differentially expressed (DE) mRNAs (DEmRNAs), 77 DE miRNAs (DEmiRNAs). 2852 DE lncRNAs (DElncRNAs) and 1477 DE circRNAs (DEcircRNAs). In addition, utilizing co-DE analysis, we generated the ceRNA axis. Subsequently, we employed the ceRNA axis to identify essential genes and corresponding associations with lncRNAs, circRNAs, and miRNAs in CRC. ceRNA regulatory network including mRNA-miRNA-lncRNA and mRNA-miRNA-circRNA. These modulatory axes potentially modulate the positive regulation of smooth muscle contraction, melanosome, plasma membrane, integral plasma membrane component and so on. Finally, the results of RNA sequencing (RNA-SEQ) were combined with the TCGA and GEO databases, and the DEGs strongly correlated with the TCGA-COAD overall survival (OS) as estimated by univariate cox and logarithmic rank analyses were cross-analyzed, and the co-upregulated DEGs were screened. Among the many DEs, KPNA2 was chosen for additional analysis. Using invitro experimentations, western blot, CCK8, EdU and other experiments were performed to verify the results. We found siRNA-based KPNA2 depletion reduces bladder cancer cells’ viability, migratory, and proliferative activities, which showed that the DEmRNA profiles were comparable to the sequencing information, confirming that the sequencing data were very reliable. These evidences highlight the ceRNA regulatory mechanisms in CRC and will aid future research into the molecular mechanisms behind colorectal cancer prevention and treatment.

KeywordCompeting Endogenous Rna Crc Expression Pattern Non-coding Rna Whole Transcriptome
DOI10.1038/s41598-024-71465-5
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:001304196000001
PublisherNATURE PORTFOLIO, HEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY
Scopus ID2-s2.0-85202997476
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Corresponding AuthorYing, Xiaojiang; Li, Zhenjun
Affiliation1.Medical research center, Shaoxing People’s Hospital, Shaoxing, No. 568, Zhongxing North Road, Zhejiang, 312000, China
2.Shaoxing People’s Hospital, Shaoxing, No. 568, Zhongxing North Road, Zhejiang, 312000, China
3.Department of Colorectal and Anal Surgery, Shaoxing People’s Hospital, Shaoxing, No. 568, Zhongxing North Road, Zhejiang, 312000, China
4.Faculty of Health Sciences, University of Macau, Taipa, Avenida de Universidade Special Adiministrative Region, Macao
Recommended Citation
GB/T 7714
Zhang, Lulu,Li, Yulei,Fu, Chao,et al. Exploration and validation of ceRNA regulatory networks in colorectal cancer based on associations whole transcriptome sequencing[J]. Scientific Reports, 2024, 14(1), 20446.
APA Zhang, Lulu., Li, Yulei., Fu, Chao., Yang, Li Xia., Li, Gang., Wu, Yiyang., Tong, Huanjun., Tian, Guojiang., Wang, Kaifang., Wang, Jun., Ying, Xiaojiang., & Li, Zhenjun (2024). Exploration and validation of ceRNA regulatory networks in colorectal cancer based on associations whole transcriptome sequencing. Scientific Reports, 14(1), 20446.
MLA Zhang, Lulu,et al."Exploration and validation of ceRNA regulatory networks in colorectal cancer based on associations whole transcriptome sequencing".Scientific Reports 14.1(2024):20446.
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