Evidence map›Paper›PMID 30210668›Full record

ArticleAmerican journal of translational research2018

A comprehensive investigation using meta-analysis and bioinformatics on miR-34a-5p expression and its potential role in head and neck squamous cell carcinoma.

Jixi Li, Kang Liu, Tingting Zhang, Zhendong Yang, Rensheng Wang, Gang Chen, Min Kang

Abstract read
In one paragraph

Article in American journal of translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

7 authors.

Jixi LiDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.
Kang LiuDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.
Tingting ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.
Zhendong YangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.
Rensheng WangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, P. R. China.
Min KangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University Nanning 530021, Guangxi, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HNSCC is the sixth most common cancer worldwide and is characterized as an aggressive, malignant tumor. MiR-34a-5p (miR-34a) expression has been strongly linked to HNSCC development. However, the exact target gene of miRNA-34a-as well as its biological and mechanistic pathways-are unclear. It is critical that the clinical value of HNSCC receive further study. We conducted a continuous variable, meta-analysis from data found in the cancer literature as well as that provided by the Cancer Genome Atlas (TCGA) to estimate miR-34a expression in HNSCC. Next, TCGA database, microarray, and MiRWalk were all used to predict the target gene of miR-34a in HNSCC. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to explore the underlying molecular mechanism of miR-34a in HNSCC. Finally, we used Spearman's analysis and survival curves to identify the roles of related target genes involved in significant pathways during the development of HNSCC. Expression levels of miR-34a in HNSCC were significant lower than those in normal tissues (

Indexed as

bioinformaticsHNSCCmeta-analysismiR-34a-5pTCGA

Identifiers

PMID30210668
PMCPMC6129509

What OpenQuestion holds

Textmetadata
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.