4.6 Article

The Construction and Comprehensive Prognostic Analysis of the LncRNA-Associated Competitive Endogenous RNAs Network in Colorectal Cancer

期刊

FRONTIERS IN GENETICS
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2020.00583

关键词

colorectal cancer; differentially expressed RNAs; ceRNA network; overall survival; nomogram

资金

  1. National Natural Science Foundation of China [81572758]
  2. Natural Science Foundation of Hebei Province [H2017206286]
  3. Young Top-Notch Talent Foundation of Hebei Province Office of Education [BJ2018042]
  4. International Science and Technology Cooperation Program of Hebei [YZ201802, 2019YX006A]
  5. foundation from Hebei Province [LNB201911, zh2018002, 162777271, 20180222, 18277741D]
  6. Spark Program of the First Hospital of Hebei Medical University

向作者/读者索取更多资源

Competing endogenous RNAs (ceRNAs) are a newly proposed RNA interaction mechanism that has been associated with the tumorigenesis, metastasis, diagnosis, and predicting survival of various cancers. In this study, we constructed a ceRNA network in colorectal cancer (CRC). Then, we sought to develop and validate a composite clinicopathologic-genomic nomogram using The Cancer Genome Atlas (TCGA) database. To construct the ceRNA network in CRC, we analyzed the mRNAseq, miRNAseq data, and clinical information from TCGA database. LncRNA, miRNA, and mRNA signatures were identified to construct risk score as independent indicators of the prognostic value in CRC patients. A composite clinicopathologic-genomic nomogram was developed to predict the overall survival (OS). One hundred sixty-one CRC-specific lncRNAs, 97 miRNAs, and 161 mRNAs were identified to construct the ceRNA network. Multivariate Cox proportional hazards regression analysis indicated that nine-lncRNA signatures, eight-miRNA signatures, and five-mRNA signatures showed a significant prognostic value for CRC. Furthermore, a clinicopathologic-genomic nomogram was constructed in the primary cohort, which performed well in both the primary and validation sets. This study presents a nomogram that incorporates the CRC-specific ceRNA expression profile, clinical features, and pathological factors, which demonstrate its excellent differentiation and risk stratification in predicting OS in CRC patients.

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