4.7 Article

Construction of a long noncoding RNA-based competing endogenous RNA network and prognostic signatures of left- and right-side colon cancer

期刊

CANCER CELL INTERNATIONAL
卷 21, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12935-021-01901-3

关键词

Colon cancer; Right-side colon cancer; Left-side colon cancer; Long noncoding RNA; Competing endogenous RNA; Prognostic signature

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资金

  1. National Natural Science Foundation [81860417]
  2. Natural Science Foundation of Guangxi [2018JJA140136]
  3. Basic Competence Promotion Project for Young and Middle-aged Teachers in Guangxi [2020KY0348]
  4. Guangxi Medicine Science Project [Z20200334]
  5. Guangxi University Students Innovation and Entrepreneurship Project [WLXSZX19039, 201910598012, 202010598086, 201910598241]

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Right-sided and left-sided colon cancers have distinct clinical and molecular characteristics. This study identified location-specific lncRNAs as ceRNAs in colon cancer and established a DEL-based prognostic signature. These differences can be used to assess prognosis and determine treatment strategies for patients with colon cancer.
Background Cancers located on the right and left sides of the colon have distinct clinical and molecular characteristics. This study aimed to explore the regulatory mechanisms of location-specific long noncoding RNAs (lncRNAs) as competing endogenous RNAs (ceRNAs) in colon cancer and identify potential prognostic biomarkers. Method Differentially expressed lncRNAs (DELs), miRNAs (DEMs), and genes (DEGs) between right- and left-side colon cancers were identified by comparing RNA sequencing profiles. Functional enrichment analysis was performed for the DEGs, and a ceRNA network was constructed. Associations between DELs and patient survival were examined, and a DEL-based signature was constructed to examine the prognostic value of these differences. Clinical colon cancer tissues and Gene Expression Omnibus (GEO) datasets were used to validate the results. Results We identified 376 DELs, 35 DEMs, and 805 DEGs between right- and left-side colon cancers. The functional enrichment analysis revealed the functions and pathway involvement of DEGs. A ceRNA network was constructed based on 95 DEL-DEM-DEG interactions. Three DELs (LINC01555, AC015712, and FZD10-AS1) were associated with the overall survival of patients with colon cancer, and a prognostic signature was established based on these three DELs. High risk scores for this signature indicated poor survival, suggesting that the signature has prognostic value for colon cancer. Examination of clinical colon cancer tissues and GEO dataset analysis confirmed the results. Conclusion The ceRNA regulatory network suggests roles for location-specific lncRNAs in colon cancer and allowed the development of an lncRNA-based prognostic signature, which could be used to assess prognosis and determine treatment strategies in patients with colon cancer.

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