Evidence map›Paper›PMID 23124277›Full record

ArticleEndocrine2013

A missense polymorphism (rs11466653, Met326Thr) of toll-like receptor 10 (TLR10) is associated with tumor size of papillary thyroid carcinoma in the Korean population.

Su Kang Kim, Hae Jeong Park, Il Ki Hong, Joo-Ho Chung, Young Gyu Eun

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Updates on Toll-Like Receptor 10 Research.European journal of immunology · 2025
    Review
  3. Article
  4. Review
  5. Diagnostic significance of elevated expression of HBME-1 in papillary thyroid carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Association ofIn vivo (Athens, Greece)
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Su Kang KimKohwang Medical Research Institute, School of Medicine, Kyung Hee University, Seoul, 130-701, Korea.
Hae Jeong Park
Il Ki Hong
Joo-Ho Chung
Young Gyu Eun
Kyung Hee University · KRKyung Hee University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are important components of innate immune response. The aim of this study was to investigate whether TLR gene cluster (TLR10-TLR1-TLR6) polymorphisms are associated with the etiology of papillary thyroid carcinoma (PTC) and its clinicopathologic characteristics. We recruited 94 PTC patients and 325 control subjects. Genotypes for each SNP were determined by direct sequencing. SNPStats and SPSS 18.0 were used to evaluate odds ratios (ORs), 95 % confidence intervals (CIs), and P values. Multiple logistic regression analyzes of genetic data were performed. The missense SNP rs11466653 was associated with small tumor size (<1 cm) in PTC. The frequency of the rs11466653 T allele was higher in PTC patients with tumors <1 cm in size than in the control group (95.8 vs. 87.2 %; P = 0.021, OR = 0.30, 95 % CI = 0.11-0.83). The T allele of rs11466653 (T/C, Met326Thr) in TLR10 may be a risk factor for the development of tumors in PTC in the Korean population.

Indexed as

Polymorphism, Single NucleotideAdultAgedAllelesAmino Acid SubstitutionCarcinomaCarcinoma, PapillaryFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMaleMiddle AgedRepublic of KoreaTLR10 protein, humanTLR6 protein, humanToll-Like Receptor 1Toll-Like Receptor 10Toll-Like Receptor 6

Identifiers

PMID23124277
OpenAlexW2039000263

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.