Evidence map›Paper›PMID 35117206›Full record

ArticleTranslational cancer research2020

SNP rs2240688 in

Xiaolan Pan, Lingsha Huang, Dan Mo, Yihua Liang, Zhaodong Huang, Bo Zhu, Min Fang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. 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
0.3field-weighted citation impact, top 38% 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, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 2 institutions in 1 country.

Xiaolan Pan *Department of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Lingsha Huang *Department of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Dan MoDepartment of Surgery, Maternal and Child Health Hospital of the Guangxi Zhuang Autonomous Region, Nanning, China.
Yihua LiangDepartment of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Zhaodong HuangDepartment of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Bo ZhuDepartment of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Min FangDepartment of Clinical Laboratory, Guangxi Medical University Affiliated Tumor Hospital, Nanning, China.
Tumor Hospital of Guangxi Medical University · CNGuangxi Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD133 is one of the important cancer stem cells (CSCs) markers of hepatocellular carcinoma (HCC). The aim of this study was to explore the relationship between CD133 single-nucleotide polymorphisms (SNPs) and risk factors associated with HCC susceptibility and clinicopathological features in HCC cases and healthy controls from the Guangxi region of southern China.

methodsA case control study was conducted, including 565 HCC patients and 561 control subjects. The genotyping of rs2240688 was performed using the SNaPshot method. Unconditional logistic regression was used to correct for gender, age, and other confounding factors. Odds ratio (OR) and its 95% confidence interval (CI) were calculated to analyze the relationship between allele and genotype frequency and the risk of HCC.

resultsThe distribution frequencies of CD133 alleles and genotypes in the HCC case group and the control group were statistically significant (P<0.05). The CA heterozygous (P=0.003, OR =1.463, 95% CI: 1.134-1.887) and CC homozygous genotypes (P=0.036, OR =1.910, 95% CI: 1.044-3.493), as well as C carrier status (P=0.004, OR =1.465, 95% CI: 1.136-1.889) and C alleles (P=0.004, OR =1.465, 95% CI: 1.136-1.889), were associated with an increased risk of HCC. Additionally, in the subgroup analysis of CD133 rs2240688 polymorphism and clinical characteristics, the results showed that the genotype distribution of CD133 rs2240688 was significantly different in genotype distribution of metastasis and alanine aminotransferase (ALT).

conclusionsthe expression of miRNA binding site rs2240688 of tumor stem cell marker gene

Indexed as

cancer stem cells (CSCs)CD133Hepatocellular carcinoma (HCC)rs2240688single-nucleotide polymorphisms (SNPs)

Identifiers

PMID35117206
PMCPMC8799249
OpenAlexW3087697207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.