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Authors Chen Q, Zeng X, Huang D, Qiu X
Received 10 August 2018
Accepted for publication 9 November 2018
Published 28 November 2018 Volume 2018:10 Pages 6489—6504
DOI https://doi.org/10.2147/CMAR.S183488
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 2
Editor who approved publication: Dr Beicheng Sun
Background and aim: Previous
studies have suggested that lymph node metastasis (LNM) in early-stage cervical
cancer (CESC) may affect the prognosis of patients and the outcomes of
subsequent adjuvant therapy. However, research focused on miRNA expression in
early-stage CESC patients with LNM remains limited. Therefore, it is necessary
to identify prognostic miRNAs and determine their molecular mechanisms.
Methods: We
evaluated the differentially expressed genes in early-stage CESC patients with
LNM compared to patients without LNM and evaluated the prognostic significance
of these differentially expressed genes by analyzing a public dataset from The
Cancer Genome Atlas. Potential molecular mechanisms were investigated by gene
ontology, the Kyoto Encyclopedia of Genes and Genomes, and protein–protein
interaction network analyses.
Results: According
to the The Cancer Genome Atlas data, hsa-miR-508, hsa-miR-509-2, and
hsa-miR-526b expression levels were significantly lower in early-stage CESC
patients with LNM than in patients without LNM. A multivariate analysis
suggested that three miRNAs were prognostic factors for CESC (P <0.05). The
target genes were identified to be involved in the MAPK, cAMP, PI3K/Akt, mTOR,
and estrogen cancer signaling pathways. Protein–protein interaction network
analysis showed that TP53, MMP1, NOTCH1, SMAD4, and NFKB1 were the most
significant hub proteins.
Conclusion: Our
results indicate that hsa-miR-508, hsa-miR-509-2, and hsa-miR-526b may be
potential diagnostic biomarkers for early-stage CESC with LNM, and serve as
prognostic predictors for patients with CESC.
Keywords: lymph
nodes, miRNAs, prognosis, uterine cervical neoplasms
