ArticlePloS one2018
Identification of a microRNA signature associated with survivability in cervical squamous cell carcinoma.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Regulatory Genetic Networks by microRNAs: Exploring Genomic Signatures in Cervical Cancer.Biomedicines · 2025Review
- LUM as a novel prognostic marker and its correlation with immune infiltration in gastric cancer: a study based on immunohistochemical analysis and bioinformatics.BMC gastroenterology · 2023Article
- Functional Screen for microRNAs Suppressing Anchorage-Independent Growth in Human Cervical Cancer Cells.International journal of molecular sciences · 2022Article
- An immune-associated ten-long noncoding RNA signature for predicting overall survival in cervical cancer.Translational cancer research · 2021Article
- Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients.OncoTargets and therapy · 2021Article
- miR-642a-5p partially mediates the effects of lipopolysaccharide on human pulmonary microvascular endothelial cells via eEF2.FEBS open bio · 2020Article
- Inhibition of miR-378a-3p by Inflammation Enhances IL-33 Levels: A Novel Mechanism of Alarmin Modulation in Ulcerative Colitis.Frontiers in immunology · 2019Article
- A Comprehensive RNA Expression Signature for Cervical Squamous Cell Carcinoma Prognosis.Frontiers in genetics · 2018Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study is to find the potential miRNA expression signature capable of predicting survival time for cervical squamous cell carcinoma (CSCC) patients.
methodsThe expression of 332 miRNAs was measured in 131 (Training cohort) and 130 (Validation cohort) patients with CSCC in the Cancer Genome Atlas (TCGA) data portal. The miRNA expression signature was identified by Cox Proportion Hazard regression model to the Training data set, and subsequently validated in an independent Validation set. Kaplan-Meier curves and the receiver operating characteristic analyses of 5 years were used to access the overall survival of miRNA signature. MiRNA signature-gene target analysis was performed, followed by the construction of the regulatory network. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis were used to explore the function of target genes of miRNA signature.
resultsA 2-miRNA expression signature of hsa-mir-642a and hsa-mir-378c associated with survivability was identified in CSCC. Both of them had a significant diagnostic and prognostic value of patients with CSCC. A total of 345 miRNA signature-target pairs were obtained in the miRNA signature-gene target regulatory network, in which 316 genes were targets of has-mir-378c and has-mir-642a. Functional analysis of target genes showed that MAPK signaling pathway, VEGF signaling pathway and endocytosis were the significantly enriched signal pathways that covered most genes.
conclusionsThe 2-miRNA signature adds to the prognostic value of CSCC. In-depth interrogation of the 2-miRNAs will provide important biological insights that finding and developing novel molecularly prediction to improve prognosis for CSCC patients.
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