Evidence map›Paper›PMID 31938181›Full record

ArticleInternational journal of clinical and experimental pathology2018

Interleukin-31 single nucleotide polymorphisms are significantly associated with endometrial cancer in Chinese Han women.

Zhu Lan, Yanyun Wang, Xiuzhang Yu, Huizi Song, Qin Li, Di You, Mingwei Yuan, Xi Zeng, Bin Zhou, Yaping Song and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 78% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. IL-31: State of the Art for an Inflammation-Oriented Interleukin.International journal of molecular sciences · 2022
    Pooled it
  2. Review
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

14 authors at 1 institution in 1 country.

Zhu LanDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Yanyun WangKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education Chengdu, Sichuan Province, China.
Xiuzhang YuDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Huizi SongDepartment of Cardiology, West China Hospital of Sichuan University Chengdu, Sichuan Province, China.
Qin LiDepartment of Immunology, West China School of Preclinical and Forensic Medicine, Sichuan University Chengdu, Sichuan Province, China.
Di YouDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Mingwei YuanDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Xi ZengDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Bin ZhouKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education Chengdu, Sichuan Province, China.
Yaping SongKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education Chengdu, Sichuan Province, China.
Min SuKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education Chengdu, Sichuan Province, China.
Yan ZhangDepartment of Pathology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Lin ZhangKey Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education Chengdu, Sichuan Province, China.
Mingrong XiDepartment of Obstetrics and Gynecology, West China Second Hospital, Sichuan University Number 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan Province, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAt present, cancer genetic markers of susceptibility (CGEMS) are a very important cancer research topic. This study aims to investigate possible correlations between the emergence of endometrial cancer (EC) and the presence of polymorphisms in two gene sites (rs4758680 and rs7977932) of interleukin-31 (IL-31) in a well-defined Chinese cohort.

methodsPolymerase Chain-Reaction (PCR) was performed to determine the genotypic composition and the allelic frequencies of IL-31 gene variants in 255 EC patients and 370 healthy controls.

resultsOur results revealed a statistically significant association between the presence of allele A of rs4758680 and increased EC risk (P = 0.009). Moreover, genotypic frequencies in the codominant (P = 0.0041), dominant (P = 0.0018), and overdominant (P<0.001) genetic models of rs4758680 were associated with EC susceptibility. For rs7977932, allele G was statistically more frequent in EC patients (P = 0.043).

conclusionsOur findings suggest that polymorphisms in rs4758680 and rs7977932 of IL-31 may have a role in increased susceptibility to EC in Chinese Han women.

Indexed as

Endometrial cancerinterleukin-31single nucleotide polymorphisms

Identifiers

PMID31938181
PMCPMC6958005
OpenAlexW3027083820

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.