Evidence map›Paper›PMID 30568508›Full record

ArticleCancer management and research2018

Identification of differentially expressed miRNAs in early-stage cervical cancer with lymph node metastasis across The Cancer Genome Atlas datasets.

Qian Chen, Xiaoyun Zeng, Dongping Huang, Xiaoqiang Qiu

Abstract read
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Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
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  9. Article
  10. Potential Five-MicroRNA Signature Model for the Prediction of Prognosis in Patients with Wilms Tumor.Medical science monitor : international medical journal of experimental and clinical research · 2019
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qian ChenDepartment of Research, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiaoyun ZengDepartment of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China, xqqiu9999@sina.com.
Dongping HuangDepartment of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China, xqqiu9999@sina.com.
Xiaoqiang QiuDepartment of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China, xqqiu9999@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPrevious 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.

methodsWe 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.

resultsAccording 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 (

conclusionOur 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.

Indexed as

lymph nodesmiRNAsprognosisuterine cervical neoplasms

Identifiers

PMID30568508
PMCPMC6276827

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