4.6 Article

Comprehensive Analysis of CDK1-Associated ceRNA Network Revealing the Key Pathways LINC00460/LINC00525-Hsa-Mir-338-FAM111/ZWINT as Prognostic Biomarkers in Lung Adenocarcinoma Combined with Experiments

Journal

CELLS
Volume 11, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/cells11071220

Keywords

Lung adenocarcinoma; ceRNA network; CDK1 gene; LINC00525; LINC00460; FAM111B; ZWINT gene; prognosis

Categories

Funding

  1. Natural Science Foundation of Hunan Province of China [2020JJ4278]
  2. Scientific Research Fund of Hunan Provincial Education Department [21A0161, 20C0622]
  3. Central South University of Forestry and Technology Introduced Talent Research Startup Fund [2021YJ034, 2021YJ014]
  4. key programofHunan Provincial Department of science and technology [2020WK2020]

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This study identified long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs associated with CDK1 in lung adenocarcinoma (LUAD) patients. The regulatory axis of LINC00460/LINC00525-hsa-mir-338-FAM111B/ZWINT was determined, and abnormal up-regulation of FAM111B/ZWINT was found to be related to hypomethylation in LUAD. Results also suggested that FAM111B/ZWINT could affect LUAD development and prognosis by regulating the immune microenvironment and promoting tumor spread through EMT. Potential target medicines for LUAD treatment were identified using bioinformatics analysis.
Lung adenocarcinoma (LUAD) is the leading cause of cancer deaths worldwide, and effective biomarkers are still lacking for early detection and prognosis prediction. Here, based on gene expression profiles of LUAD patients from The Cancer Genome Atlas (TCGA), 806 long non-coding RNAs (lncRNAs), 122 microRNAs (miRNAs) and 1269 mRNAs associated with CDK1 were identified. The regulatory axis of LINC00460/LINC00525-hsa-mir-338-FAM111B/ZWINT was determined according to the correlation between gene expression and patient prognosis. The abnormal up-regulation of FAM111B/ZWINT in LUAD was related to hypomethylation. Furthermore, immune infiltration analysis suggested FAM111B/ZWINT could affect the development and prognosis of cancer by regulating the LUAD immune microenvironment. EMT feature analysis suggested that FAM111B/ZWINT promoted tumor spread through the EMT process. Functional analysis showed FAM111B/ZWINT was involved in cell cycle events such as DNA replication and chromosome separation. We analyzed the HERB and GSCALite databases to identify potential target medicines that may play a role in the treatment of LUAD. Finally, the expression of LINC00460/LINC00525-hsa-mir-338-FAM111B/ZWINT axis was verified in LUAD cells by RT-qPCR, and these results were consistent with bioinformatics analysis. Overall, we constructed a CDK1-related ceRNA network and revealed the LINC00460/LINC00525-hsa-mir-338-FAM111/ZWINT pathways as potential diagnostic biomarkers or therapeutic targets of LUAD.

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