Evidence map›Paper›PMID 27465286›Full record

SynthesisCancer medicine2016

Candidate microRNAs as biomarkers of thyroid carcinoma: a systematic review, meta-analysis, and experimental validation.

Yiren Hu, Hui Wang, Ende Chen, Zhifeng Xu, Bi Chen, Guowen Lu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. MicroRNA Profiling in Papillary Thyroid Cancer.International journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Balkan journal of medical genetics : BJMG · 2022
    Article
  10. Recurrence of Papillary Thyroid Cancer: A Systematic Appraisal of Risk Factors.The Journal of clinical endocrinology and metabolism · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. MicroRNA signatures associated with lymph node metastasis in intramucosal gastric cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Yiren HuDepartment of General Surgery, The Third Clinical College of Wenzhou Medical University, Wenzhou People's Hospital, Wenzhou, China.
Hui WangDepartment of General Surgery, Ningbo Yinzhou People's Hospital, Ningbo, China.
Ende ChenDepartment of General Surgery, The Third Clinical College of Wenzhou Medical University, Wenzhou People's Hospital, Wenzhou, China.
Zhifeng XuDepartment of General Surgery, The Third Clinical College of Wenzhou Medical University, Wenzhou People's Hospital, Wenzhou, China.
Bi ChenDepartment of Oncological Surgery, Wenzhou People's Hospital, The Third Clinical College of Wenzhou Medical University, Wenzhou, China.
Guowen LuDepartment of Thyroid and breast mininally invasive surgery, Ningbo Yinzhou People's Hospital, Ningbo, China. uutong@hotmail.com.
Wenzhou City People's Hospital · CNNingbo No. 2 Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer is one of the most common carcinomas of the endocrine system with an increasing incidence. A growing number of studies have focused on the diagnostic and prognostic values of dysregulated microRNAs (miRNAs) in thyroid carcinoma. However, differences in the measurement platforms, variations in lab protocols, and small sample sizes can make gene profiling data incomparable. A meta-review of the published studies that compared miRNA expression data of thyroid carcinoma and paired normal tissues was performed to identify potential miRNA biomarkers of thyroid carcinoma with the vote-counting strategy. Two hundred and thirty-six aberrantly expressed miRNAs were reported in 19 microRNA expression profiling studies. Among them, 138 miRNAs were reported in at least two studies. We also provided a meta-signature of differentially expressed miRNAs between individual histological types of thyroid carcinoma and normal tissues. The experimental validation with qRT-PCR analysis verified that the profiles identified with the meta-review approach could effectively discriminate papillary thyroid carcinoma tissues from paired noncancer tissues. The meta-review of miRNA expression profiling studies of thyroid carcinoma would provide information on candidate miRNAs that could potentially be used as biomarkers in thyroid carcinoma.

Indexed as

Biomarkers, TumorAdolescentAdultAgedCarcinoma, PapillaryComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedThyroid Cancer, PapillaryThyroid NeoplasmsYoung AdultBiomarkers, TumorMicroRNAsBiomarkermeta-analysismiRNAthyroid cancer

Identifiers

PMID27465286
PMCPMC5055193
OpenAlexW2490315018

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.