Evidence map›Paper›PMID 32351566›Full record

ArticleJournal of oncology2020

Impact of Genetic Variation in

Hongjiao Wu, Hui Gao, Ang Li, Yuning Xie, Zhenxian Jia, Zhenbang Yang, Hongmei Zhang, Zhi Zhang, Xuemei Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Impact ofBiomolecules & biomedicine · 2024
    Article
  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

9 authors at 1 institution in 1 country.

Hongjiao WuCollege of Life Science, North China University of Science and Technology, Tangshan 063210, China.
Hui GaoSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Ang LiSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Yuning XieSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Zhenxian JiaSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Zhenbang YangSchool of Basic Medical Sciences, North China University of Science and Technology, Tangshan 063210, China.
Hongmei ZhangSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Zhi ZhangAffliated Tangshan Gongren Hospital, North China University of Science and Technology, Tangshan 063000, China.ORCID https://orcid.org/0000-0001-6530-9736
Xuemei ZhangCollege of Life Science, North China University of Science and Technology, Tangshan 063210, China.ORCID https://orcid.org/0000-0003-0705-4231
North China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptors (TLRs) are expressed not only in immune cells but also in a variety of tumor cells. Single-nucleotide polymorphisms (SNPs) located in the TLRs' promoter or the 3' untranslated region may affect gene expression by affecting the activity of the promoter or regulating the binding of mRNA to miRNA. This study aimed to investigate the association of the SNPs in TLR genes with the susceptibility to NSCLC. This case-control study involved 700 lung cancer patients and 700 healthy controls. All individuals were genotyped for all selected SNPs in TLR genes using polymerase chain reaction (PCR) test-based restriction fragment length polymorphism (PCR-RFLP) and TaqMan SNP genotyping assay. The association of genetic variations in TLRs with the susceptibility to NSCLC was evaluated by unconditional logistic regression with OR (95% CI). After evaluating transcriptional factor or miRNA binding capability by bioinformatics methods, six TLRs were identified for further analysis. We did not find that

Identifiers

PMID32351566
PMCPMC7171665
OpenAlexW3015759410

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.