Strong association of single nucleotide polymorphisms in BRCA1, ATM, and CHEK2 with breast cancer susceptibility in a sub-population of Iranian women.

ATM BRCA1 CHEK2 Breast cancer Polymorphism

Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 18 07 2024
accepted: 30 09 2024
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 22 10 2024
Statut: aheadofprint

Résumé

Breast cancer (BC) is the most prevalent malignancy in females worldwide. Mutations in the DNA repair pathway genes contribute to a significant increase in BC risk. The present study aimed to assess the frequency of polymorphisms in BRCA1, ATM, and CHEK2 genes and their association with BC susceptibility in the Kurdish population from the West of Iran. In the present case-control study, the distribution of single nucleotide polymorphisms (SNPs) in CHEK2 (rs17879961), ATM (rs28904921), and BRCA1 (rs80357906, rs1555576855, rs1555576858, and rs397509247) genes were investigated in 335 BC cases and 354 healthy-matched controls by Taqman allelic discrimination assay. The chi-square goodness-of-fit test was employed for the assessment of Hardy-Weinberg Equation. Relative risk and odds ratios were calculated based on the Koopman asymptotic score and the Baptista-Pike method, respectively. Also, the sensitivity and specificity of each polymorphism were assessed using the Wilson-Brown test and a P-value < 0.05 indicating significant differences between the two groups in all assessments. Data showed there was a strong association between rs397509247 (OR = 7.53, 95% CI 1.88-90.91, p = 0.004), rs1555576858 (OR = 10.53, 95% CI 0.01-0.51, p = 0.0005), and rs80357906 (OR = 6.33, 95% CI 0.05-0.043, p < 0.0001) in BRCA1 gene and rs17879961 (OR = 3.52, 95% CI 0.084-0.946, p = 0.02) in CHEK2 gene, with BC risk in the population of interest. Among these, rs28904921 in ATM gene demonstrated the strongest association (OR = 72.66, 95% CI 0.007-0.214, p < 0.0001). This suggests that these SNPs, particularly rs28904921, are significantly associated with an increased risk of BC in the studied population. Our results indicated that BRCA1, ATM, and CHEK2 polymorphisms have a high frequency in the Iranian breast cancer population, with some mutant allele frequencies being much higher than those reported in other populations. We have also provided a simple, multiplex, rapid, and accurate genotyping assay that is useful in clinical settings.

Sections du résumé

BACKGROUND BACKGROUND
Breast cancer (BC) is the most prevalent malignancy in females worldwide. Mutations in the DNA repair pathway genes contribute to a significant increase in BC risk. The present study aimed to assess the frequency of polymorphisms in BRCA1, ATM, and CHEK2 genes and their association with BC susceptibility in the Kurdish population from the West of Iran.
METHODS METHODS
In the present case-control study, the distribution of single nucleotide polymorphisms (SNPs) in CHEK2 (rs17879961), ATM (rs28904921), and BRCA1 (rs80357906, rs1555576855, rs1555576858, and rs397509247) genes were investigated in 335 BC cases and 354 healthy-matched controls by Taqman allelic discrimination assay. The chi-square goodness-of-fit test was employed for the assessment of Hardy-Weinberg Equation. Relative risk and odds ratios were calculated based on the Koopman asymptotic score and the Baptista-Pike method, respectively. Also, the sensitivity and specificity of each polymorphism were assessed using the Wilson-Brown test and a P-value < 0.05 indicating significant differences between the two groups in all assessments.
RESULTS RESULTS
Data showed there was a strong association between rs397509247 (OR = 7.53, 95% CI 1.88-90.91, p = 0.004), rs1555576858 (OR = 10.53, 95% CI 0.01-0.51, p = 0.0005), and rs80357906 (OR = 6.33, 95% CI 0.05-0.043, p < 0.0001) in BRCA1 gene and rs17879961 (OR = 3.52, 95% CI 0.084-0.946, p = 0.02) in CHEK2 gene, with BC risk in the population of interest. Among these, rs28904921 in ATM gene demonstrated the strongest association (OR = 72.66, 95% CI 0.007-0.214, p < 0.0001). This suggests that these SNPs, particularly rs28904921, are significantly associated with an increased risk of BC in the studied population.
CONCLUSION CONCLUSIONS
Our results indicated that BRCA1, ATM, and CHEK2 polymorphisms have a high frequency in the Iranian breast cancer population, with some mutant allele frequencies being much higher than those reported in other populations. We have also provided a simple, multiplex, rapid, and accurate genotyping assay that is useful in clinical settings.

Identifiants

pubmed: 39436532
doi: 10.1007/s10549-024-07503-7
pii: 10.1007/s10549-024-07503-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Kermanshah University Of Medical Sciences, Kermanshah, Iran
ID : 96259
Organisme : Kermanshah University Of Medical Sciences, Kermanshah, Iran
ID : 96259
Organisme : Kermanshah University Of Medical Sciences, Kermanshah, Iran
ID : 96259
Organisme : Kermanshah University Of Medical Sciences, Kermanshah, Iran
ID : 96259
Organisme : Kermanshah University Of Medical Sciences, Kermanshah, Iran
ID : 96259

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Sepideh Jahangiri (S)

Clinical Research Development Center of Imam Reza Hospital, Kermanshah University Of Medical Sciences, Kermanshah, Iran.

Zahra Abdan (Z)

Clinical Research Development Center of Imam Reza Hospital, Kermanshah University Of Medical Sciences, Kermanshah, Iran.

Ali Soroush (A)

Clinical Research Development Center of Imam Reza Hospital, Kermanshah University Of Medical Sciences, Kermanshah, Iran.

Massoud Houshmand (M)

Department of Medical Genetics, National Institute of Genetics and Biotechnology, Tehran, Iran.

Mozaffar Aznab (M)

Clinical Research Development Center of Imam Reza Hospital, Kermanshah University Of Medical Sciences, Kermanshah, Iran. draznab@yahoo.com.
Medical Oncology-Hematology, Internal Medicine Department, Kermanshah University Of Medical Sciences, Kermanshah, Iran. draznab@yahoo.com.

Classifications MeSH