Evidence map›Paper›PMID 31478352›Full record

ArticleMolecular genetics & genomic medicine2019

Association study between the polymorphisms of angiogenesis-related genes and cervical cancer susceptibility in Chinese Uygur population.

Lili Han, Sulaiya Husaiyin, Chunhua Ma, Mayinuer Niyazi

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Lili HanDepartment of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Sulaiya HusaiyinDepartment of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Chunhua MaDepartment of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Mayinuer NiyaziDepartment of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.ORCID 0000-0002-6686-1650
People's Hospital of Xinjiang Uygur Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the second most common malignant tumor in women, and its invasion and metastasis are regulated by tumor angiogenic growth factors and their cognate receptors. In this study, we explored the relationship between genetic polymorphisms of angiogenesis-related genes (VEGF-C, VEGFR-2, and VEGFR-3) and the risk of cervical cancer in Chinese Uygur population.

methodsWe investigated four single-nucleotide polymorphisms (SNPs) in 342 cervical cancer cases and 498 controls to evaluate their association with the risk of cervical cancer. Their correlations were evaluated by chi-squared test, Fisher's exact test, t test, and genetic model analyses. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression.

resultsWe observed that rs12646659 in VEGF-C was associated with a lower cervical cancer risk in allele, dominant, and log-additive models (allele: p = .017; dominant: p = .018; log-additive: p = .018). For the individuals older than 43, rs4604006 (VEGF-C) was related to an increased cervical cancer risk under codominant model (p = .035), and rs12646659 was significantly associated with a reduced cervical cancer risk in allele, dominant, log-additive models (allele: p = .028; codominant: p = .037; log-additive: p = .037) However, there were no significant correlation of rs1000611 (VEGFR-2) and rs1195571 (VEGFR-3) with cervical cancer risk in Chinese Uygur population.

conclusionOur study firstly provided evidence that rs4604006 and rs12646659 of VEGF-C gene were related to the susceptibility of cervical cancer in Chinese Uygur population.

Indexed as

AdultAllelesAsian PeopleCase-Control StudiesChinaFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedPolymorphism, Single NucleotideRiskUterine Cervical NeoplasmsVascular Endothelial Growth Factor CVascular Endothelial Growth Factor Receptor-2Vascular Endothelial Growth Factor CVascular Endothelial Growth Factor Receptor-2Vascular Endothelial Growth Factor Receptor-3VEGFC protein, humancervical cancergenetics polymorphismsVEGF-CVEGFR-2VEGFR-3

Identifiers

PMID31478352
PMCPMC6785432
OpenAlexW2971760425

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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.