ArticleScientific reports2017
A three miRNAs signature predicts survival in cervical cancer using bioinformatics analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed.
- Regulatory Genetic Networks by microRNAs: Exploring Genomic Signatures in Cervical Cancer.Biomedicines · 2025Review
- A predictive model for the transformation from cervical inflammation to cancer based on tumor immune-related factors.Frontiers in immunology · 2025Article
- Relationships between nine neuropsychiatric disorders and cervical cancer: insights from genetics, causality and shared gene expression patterns.BMC women's health · 2024Article
- RNA-binding proteins signature is a favorable biomarker of prognosis, immunotherapy and chemotherapy response for cervical cancer.Cancer cell international · 2024Article
- miR-23b-3p, miR-124-3p and miR-218-5p Synergistic or Additive Effects on Cellular Processes That Modulate Cervical Cancer Progression? A Molecular Balance That Needs Attention.International journal of molecular sciences · 2022Review
- Developing a 5-gene prognostic signature for cervical cancer by integrating mRNA and copy number variations.BMC cancer · 2022Article
- Identifying a cervical cancer survival signature based on mRNA expression and genome-wide copy number variations.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- The miR-133b/brefeldin A-inhibited guanine nucleotide-exchange protein 1 (ARFGEF1) axis represses proliferation, invasion, and migration in cervical cancer cells.Bioengineered · 2022Article
- Circular RNA hsa_circ_0000730 restrains cell proliferation, migration, and invasion in cervical cancer through miR-942-5p/PTEN axis.The Kaohsiung journal of medical sciences · 2021Article
- microRNA-based diagnostic and therapeutic applications in cancer medicine.Wiley interdisciplinary reviews. RNA · 2021Review
- Differential Expression of Non-Coding RNA Signatures in Thyroid Cancer between Two Ethnic Groups.Current oncology (Toronto, Ont.) · 2021Article
- Ten-gene signature reveals the significance of clinical prognosis and immuno-correlation of osteosarcoma and study on novel skeleton inhibitors regarding MMP9.Cancer cell international · 2021Article
- Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer.Cancer cell international · 2021Article
- Article
- Four potential microRNAs affect the progression of pancreatic ductal adenocarcinoma by targeting MET via the PI3K/AKT signaling pathway.Oncology letters · 2021Article
- Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.Cancer management and research · 2021Article
- A novel lncRNA-mRNA-miRNA signature predicts recurrence and disease-free survival in cervical cancer.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021Article
- Article
- Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach.Scientific reports · 2020Article
- Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays.Experimental and therapeutic medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growing evidences showed that a large number of miRNAs were abnormally expressed in cervical cancer tissues and played irreplaceable roles in tumorigenesis, progression and metastasis. The aim of the present study was to identify the differential miRNAs expression between cervical cancer and normal cervical tissues by analyzing the high-throughput miRNA data downloaded from TCGA database. Additionally, we evaluated the prognostic values of the differentially expressed miRNAs and constructed a three-miRNA signature that could effectively predict patient survival. According to the cut-off criteria (P < 0.05 and |log
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.