Evidence map›Paper›PMID 37563730›Full record

ArticleWorld journal of surgical oncology2023

Relationship between cancer stem cell-related SNPs and survival outcomes in patients with primary lung cancer.

Xinying Xu, Yuhang Liu, Huiyi Hu, Jinshen Wang, Yuxin Cai, Jun Xie, Mingqiang Kang, Fei He

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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, 3 citations in OpenAlex.

  1. Review
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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

8 authors at 4 institutions in 1 country.

Xinying XuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Yuhang LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Huiyi HuDepartment of Labor Health, School of Public Health, China Medical University, Shenyang, China.
Jinshen WangDepartment of Venereal Disease Prevention, Dermatology Hospital, Southern Medical University, Guangzhou, China.
Yuxin CaiDepartment of Health Toxicology, School of Public Health, Xiamen University, Xiamen, China.
Jun XieSanming Dermatology Hospital, Sanming, China.
Mingqiang KangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China. 9199115045@fjmu.edu.cn.
Fei HeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. i.fei.he@fjmu.edu.cn.
Fujian Medical University · CNChina Medical University · CNSouthern Medical University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer stem cells may be the source of cancer-causing mutant cells and are closely related to the prognosis of cancer. Our study aimed to investigate the potential association between single-nucleotide polymorphisms (SNPs) of cancer stem cell-related genes and the prognosis of lung cancer patients.

methodsThe SNP loci were genotyped by matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS), and the overall survival of subjects was analyzed by log-rank test after stratifying and adjusting their demographic data, clinical data, and genotypes. The correlation between survival time and quality of life of lung cancer under codominant, dominant, recessive, and additive genetic models was analyzed by the Cox regression model. The association between SNP polymorphism and the prognosis of lung cancer was analyzed by Stata16.0 software, and their heterogeneity was tested. Interaction analysis was performed using R software (version 4.2.0).

resultsStratified analysis unveiled that rs3740535 had recessive AA genotype and additive GG genotype; Rs3130932 dominant GT + GG genotype, additive TT genotype; Rs13409 additive TT genotype; Rs6815391 recessive CC genotype and additional TT genotype were associated with increased risk of lung cancer death. Rs3130932 recessive GG genotype was associated with a reduced risk of lung cancer death.

conclusionRs3740535, rs3130932, rs13409, and rs6815391 are associated with the overall survival of lung cancer patients and may be valuable for the prognosis of lung cancer patients.

Indexed as

Lung NeoplasmsPolymorphism, Single NucleotideCase-Control StudiesGenetic Predisposition to DiseaseGenotypeHumansPrognosisQuality of LifeGeneLung cancer stem cellsPrognosisSingle-nucleotide polymorphism

Identifiers

PMID37563730
PMCPMC10416443
OpenAlexW4385717894

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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.