Evidence map›Paper›PMID 28707457›Full record

SynthesisCancer medicine2017

Clinical value of integrated-signature miRNAs in esophageal cancer.

Heng-Chao Zhang, Kai-Fu Tang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Prognostic Value of MicroRNAs in Esophageal Carcinoma: A Meta-Analysis.Clinical and translational gastroenterology · 2018
    Pooled it
  2. Pooled it
  3. miR-452-3p Targets Adenomatous Polyposis Coli to Regulate the Malignant Phenotypes and Prognosis of Esophageal Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Heng-Chao ZhangInstitute of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, Zhejiang, China.
Kai-Fu TangInstitute of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, Zhejiang, China.ORCID http://orcid.org/0000-0002-1672-1596
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are crucial regulators of gene expression in tumorigenesis and are of great interest to researchers, but miRNA profiles are often inconsistent between studies. The aim of this study was to confirm candidate miRNA biomarkers for esophageal cancer from integrated-miRNA expression profiling data and TCGA (The Cancer Genome Atlas) data in tissues. Here, we identify five significant miRNAs by a comprehensive analysis in esophageal cancer, and two of them (hsa-miR-100-5p and hsa-miR-133b) show better prognoses with significant difference for both 3-year and 5-year survival. Additionally, they participate in esophageal cancer occurrence and development according to KEGG and Panther enrichment analyses. Therefore, these five miRNAs may serve as miRNA biomarkers in esophageal cancer. Analysis of differential expression for target genes of these miRNAs may also provide new therapeutic alternatives in esophageal cancer.

Indexed as

TranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorComputational BiologyDatabases, GeneticEsophageal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedMolecular Sequence AnnotationBiomarkers, TumorMicroRNAsEnrichment analysisesophageal cancerprognosis

Identifiers

PMID28707457
PMCPMC5548877
OpenAlexW2736233999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.