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Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations

Demographics for breast cancers vary widely among nations. The frequency of germline mutations in breast cancers, which reflects the hereditary cases, has not been investigated adequately and accurately in highly-consanguineous Pakistani population. In the present discovery case series, germ-line mu...

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Autores principales: Ajaz, Sadia, Zaidi, Sani-e-Zehra, Ali, Saleema, Siddiqa, Aisha, Memon, Muhammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959921/
https://www.ncbi.nlm.nih.gov/pubmed/35356428
http://dx.doi.org/10.3389/fgene.2022.820610
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author Ajaz, Sadia
Zaidi, Sani-e-Zehra
Ali, Saleema
Siddiqa, Aisha
Memon, Muhammad Ali
author_facet Ajaz, Sadia
Zaidi, Sani-e-Zehra
Ali, Saleema
Siddiqa, Aisha
Memon, Muhammad Ali
author_sort Ajaz, Sadia
collection PubMed
description Demographics for breast cancers vary widely among nations. The frequency of germline mutations in breast cancers, which reflects the hereditary cases, has not been investigated adequately and accurately in highly-consanguineous Pakistani population. In the present discovery case series, germ-line mutations in twenty-seven breast cancer candidate genes were investigated in eighty-four sporadic breast cancer patients along with the clinical correlations. The germ-line variants were also assessed in two healthy gender-matched controls. The clinico-pathological features were evaluated by descriptive analysis and Pearson χ(2) test (with significant p-value <0.05). The most frequent parameters associated with hereditary cancer cases are age and ethnicity. Therefore, the analyses were stratified on the basis of age (≤40 years vs. >40 years) and ethnicity. The breast cancer gene panel assay was carried out by BROCA, which is a genomic capture, massively parallel next generation sequencing assay on Illumina Hiseq2000 with 100bp read lengths. Copy number variations were determined by partially-mapped read algorithm. Once the mutation was identified, it was validated by Sanger sequencing. The ethnic analysis stratified on the basis of age showed that the frequency of breast cancer at young age (≤40 years) was higher in Sindhis (n = 12/19; 64%) in contrast to patients in other ethnic groups. Majority of the patients had stage III (38.1%), grade III (50%), tumor size 2–5 cm (54.8%), and invasive ductal carcinoma (81%). Overall, the analysis revealed germ-line mutations in 11.9% of the patients, which was not significantly associated with younger age or any particular ethnicity. The mutational spectrum was restricted to three genes: BRCA1, BRCA2, and TP53. The identified mutations consist of seven novel germ-line mutations, while three mutations have been reported previously. All the mutations are predicted to result in protein truncation. No mutations were identified in the remaining twenty-four candidate breast cancer genes. The present study provides the framework for the development of hereditary-based preventive and treatment strategies against breast cancers in Pakistani population.
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spelling pubmed-89599212022-03-29 Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations Ajaz, Sadia Zaidi, Sani-e-Zehra Ali, Saleema Siddiqa, Aisha Memon, Muhammad Ali Front Genet Genetics Demographics for breast cancers vary widely among nations. The frequency of germline mutations in breast cancers, which reflects the hereditary cases, has not been investigated adequately and accurately in highly-consanguineous Pakistani population. In the present discovery case series, germ-line mutations in twenty-seven breast cancer candidate genes were investigated in eighty-four sporadic breast cancer patients along with the clinical correlations. The germ-line variants were also assessed in two healthy gender-matched controls. The clinico-pathological features were evaluated by descriptive analysis and Pearson χ(2) test (with significant p-value <0.05). The most frequent parameters associated with hereditary cancer cases are age and ethnicity. Therefore, the analyses were stratified on the basis of age (≤40 years vs. >40 years) and ethnicity. The breast cancer gene panel assay was carried out by BROCA, which is a genomic capture, massively parallel next generation sequencing assay on Illumina Hiseq2000 with 100bp read lengths. Copy number variations were determined by partially-mapped read algorithm. Once the mutation was identified, it was validated by Sanger sequencing. The ethnic analysis stratified on the basis of age showed that the frequency of breast cancer at young age (≤40 years) was higher in Sindhis (n = 12/19; 64%) in contrast to patients in other ethnic groups. Majority of the patients had stage III (38.1%), grade III (50%), tumor size 2–5 cm (54.8%), and invasive ductal carcinoma (81%). Overall, the analysis revealed germ-line mutations in 11.9% of the patients, which was not significantly associated with younger age or any particular ethnicity. The mutational spectrum was restricted to three genes: BRCA1, BRCA2, and TP53. The identified mutations consist of seven novel germ-line mutations, while three mutations have been reported previously. All the mutations are predicted to result in protein truncation. No mutations were identified in the remaining twenty-four candidate breast cancer genes. The present study provides the framework for the development of hereditary-based preventive and treatment strategies against breast cancers in Pakistani population. Frontiers Media S.A. 2022-03-09 /pmc/articles/PMC8959921/ /pubmed/35356428 http://dx.doi.org/10.3389/fgene.2022.820610 Text en Copyright © 2022 Ajaz, Zaidi, Ali, Siddiqa and Memon. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Ajaz, Sadia
Zaidi, Sani-e-Zehra
Ali, Saleema
Siddiqa, Aisha
Memon, Muhammad Ali
Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title_full Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title_fullStr Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title_full_unstemmed Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title_short Germline Mutation Analysis in Sporadic Breast Cancer Cases With Clinical Correlations
title_sort germline mutation analysis in sporadic breast cancer cases with clinical correlations
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959921/
https://www.ncbi.nlm.nih.gov/pubmed/35356428
http://dx.doi.org/10.3389/fgene.2022.820610
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