Evidence map›Paper›PMID 31880028›Full record

ArticleJournal of clinical laboratory analysis2020

Association of polymorphisms in MALAT1 with the risk of endometrial cancer in Southern Chinese women.

Guange Chen, Mingyao Zhang, Zongwen Liang, Sailing Chen, Feng Chen, Jiawei Zhu, Manman Zhao, Jing He, Wenfeng Hua, Ping Duan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 14 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

10 authors at 3 institutions in 1 country.

Guange ChenDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Mingyao ZhangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Zongwen LiangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Sailing ChenDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Feng ChenDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Jiawei ZhuDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Manman ZhaoDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Jing HeDepartment of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Institute of Pediatrics, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1954-2892
Wenfeng HuaDepartment of Laboratory Medicine and Central Laboratories, Guangdong Second Provincial General Hospital, Guangzhou, China.
Ping DuanDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0000-0003-0177-182X
Wenzhou Medical University · CNGuangdong Provincial People's Hospital · CNGuangzhou Women and Children Medical Center · CN

Funding

Lin He's New Medicine and Clinical Translation Academician Workstation Research Fund 17331204Wenzhou Basic Research Project Y20180015Wenzhou Innovation Team (Gynecological Oncology) C20170004Zhejiang Medical Association Clinical Research Fund Project 2017ZYC-A26
6 · The paper itself

Abstract

backgroundEndometrial cancer is the most common gynecologic malignancy worldwide. Polymorphisms in MALAT1 have been demonstrated to play critical roles in cancer. However, the roles of MALAT1 polymorphisms in the etiology of endometrial cancer have not been well documented.

methodsWe genotyped three MALAT1 polymorphisms in 249 endometrial cancer cases and 446 cancer-free female controls using quantitative polymerase chain reaction with TaqMan probes. To estimate the association between MALAT1 polymorphisms (rs591291 C>T, rs664589 C>G, and rs4102217 G>C) and the risk of endometrial cancer, an unconditional logistic regression model was conducted to calculate the odds ratio (OR) and the 95% confidence interval (CI), adjusting for surgery history, menopause, number of deliveries, BMI, and FIGO stage.

resultsWe found that the MALAT1 rs664589 C>G polymorphism was significantly associated with endometrial cancer risk (heterogeneous: adjusted OR = 0.57, 95% CI = 0.34-0.93, P = .026; homogenous: adjusted OR = 3.74, 95% CI = 1.12-12.45, P = .032; and recessive: adjusted OR = 4.06, 95% CI = 1.22-13.48, P = .022). Stratified analysis further demonstrated that the MALAT1 rs664589 C>G polymorphism significantly increased the risk of endometrial cancer susceptibility in patients with no history of surgery, more deliveries, BMI between 25 and 29.9, and FIGO stages II-III. Compared with the wild-type GCG haplotype carriers, individuals with CGG haplotypes had a higher risk of developing endometrial cancer.

conclusionThe MALAT1 rs664589 C>G polymorphism was associated with a significant increase in endometrial cancer risk.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultAgedAged, 80 and overAsian PeopleCase-Control StudiesEndometrial NeoplasmsFemaleHaplotypesHumansLogistic ModelsMiddle AgedPolymorphism, Single NucleotideRisk FactorsRNA, Long NoncodingMALAT1 long non-coding RNA, humanRNA, Long Noncodingendometrial cancerMALAT1risksingle nucleotide polymorphisms

Identifiers

PMID31880028
PMCPMC7171330
OpenAlexW2997661293

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Registered trials

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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.