Evidence map›Paper›PMID 37501182›Full record

ArticleBMC medical genomics2023

Association of A1AT genetic polymorphism and NSCLC: a case- control study in Egyptian population.

Aliaa N El-Dawa, Afaf M ElSaid, Sherif Refaat, Omali Y El-Khawaga

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

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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

3 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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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

4 authors at 1 institution in 1 country.

Aliaa N El-DawaBiochemistry Division, Chemistry Department, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.
Afaf M ElSaidGenetic unit, Department of Pediatrics, Faculty of Medicine, Mansoura University, 35516, Mansoura, Egypt.
Sherif RefaatLecturer of Medical Oncology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Omali Y El-KhawagaBiochemistry Division, Chemistry Department, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt. elkhawaga70s@mans.edu.eg.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer mortality is higher than other forms of cancer. Genetic tendencies in cancer patients have long been known. Given the link between A1ATD and numerous lung disorders, it is worth investigating if this genetic trait is linked to a higher risk of developing LC, as the lung is the most afflicted organ in individuals with severe A1ATD. This study is intended to investigate the possible association between AAT rs17580 and rs8004738 gene polymorphisms and susceptibility to non-small cell lung cancer for early prediction in Egyptians.

methodsA case-control study was performed on 124 NSCLC cases and 124 healthy controls from 2021 to 2022 in the oncology center of Mansoura University. Peripheral blood was used to obtain genomic DNA. ARMS-PCR was used to genotype SNPs and other chemical parameters. Windows SPSS Statistics was used to review, encode, and tabulate the acquired data.

resultsA molecular study for A1AT rs17580 and rs8004738 genotypes showed that NSCLC cases were significantly associated with a higher proportion of mutant S (T) and mutant Z (A) alleles (p = 0.042, 0.041, respectively). Different A1AT genotypes (MS, MZ, SS, SZ, and ZZ) showed no significant association with NSCLC or NLR.

conclusionS and Z alleles might have significant impacts on NSCLC risk and can be useful for detecting and protecting individuals who may be vulnerable to carcinogens. Further research with larger sample sizes is needed to confirm the current findings.

Indexed as

alpha 1-AntitrypsinCarcinoma, Non-Small-Cell LungLung NeoplasmsCase-Control StudiesEgyptGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single Nucleotidealpha 1-AntitrypsinSERPINA1 protein, humanA1ATDBiomarkerGeneticsLung cancer

Identifiers

PMID37501182
PMCPMC10373285
OpenAlexW4385310256

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LicenceCC BY
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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.