Evidence map›Paper›PMID 24504675›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Polymorphisms of Toll-like receptor 9 are associated with nasopharyngeal carcinoma susceptibility.

Qiong Dai, Xing Pu Li, Li Chai, Han An Long, Zhi Hui Yang

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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Qiong DaiDepartment of Human Anatomy, Luzhou Medical College, Luzhou, 646000, Sichuan, People's Republic of China.
Xing Pu Li
Li Chai
Han An Long
Zhi Hui Yang
First Affiliated Hospital of Sichuan Medical University · CNSouthwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptor 9 (TLR9) plays a pivotal role in sensing a wide range of pathogens, including bacteria, fungi, and viruses. A dysregulation of TLR9 signaling may contribute to a higher risk of developing cancers. A hospital-based case-control study, including 356 nasopharyngeal carcinoma (NPC) cases and 356 controls, was conducted to assess the relationship between TLR9 -1237T/C, -1486T/C, and 2848G/A polymorphisms and NPC risk as well as clinical characteristics. The genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Protein level of transforming growth factor-β1 (TGF-β1), vascular endothelial growth factor (VEGF), and interleukin-6 (IL-6) in NPC biopsies was measured by enzyme-linked immunosorbent assay (ELISA). We found that -1486T/C CC genotype had an increased NPC risk at odds ratio (OR) = 1.808 with 95% confidence interval (CI) 1.169 ∼ 2.798 (P = 0.008). The patients with -1486 CC genotype are inclined to advanced tumor stage and lymph node metastasis. In addition, protein concentration of VEGF in NPC biopsies with -1486 CC genotype was significantly increased compared patients with -1486 TT genotype. For the first time, our data suggested that TLR9 -1486T/C may be a risk biomarker of NPC.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAdultAgedCarcinomaCase-Control StudiesFemaleGenotypeHumansMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsToll-Like Receptor 9TLR9 protein, humanToll-Like Receptor 9

Identifiers

PMID24504675
OpenAlexW2093972465

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.