Cargando…
Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients
Breast cancer, one of the most frequently occurring cancers worldwide, is the leading cause of cancer-related death among women. AKT1, PIK3CA, PTEN and TP53 mutations were common observed in breast cancer representing potential clinical biomarkers for cancer classification and treatment. A comprehen...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136723/ https://www.ncbi.nlm.nih.gov/pubmed/30212483 http://dx.doi.org/10.1371/journal.pone.0203495 |
_version_ | 1783355055235137536 |
---|---|
author | Li, Guoli Guo, Xinwu Chen, Ming Tang, Lili Jiang, Hui Day, Julia X. Xie, Yueliang Peng, Limin Xu, Xunxun Li, Jinliang Wang, Shouman Xiao, Zhi Dai, Lizhong Wang, Jun |
author_facet | Li, Guoli Guo, Xinwu Chen, Ming Tang, Lili Jiang, Hui Day, Julia X. Xie, Yueliang Peng, Limin Xu, Xunxun Li, Jinliang Wang, Shouman Xiao, Zhi Dai, Lizhong Wang, Jun |
author_sort | Li, Guoli |
collection | PubMed |
description | Breast cancer, one of the most frequently occurring cancers worldwide, is the leading cause of cancer-related death among women. AKT1, PIK3CA, PTEN and TP53 mutations were common observed in breast cancer representing potential clinical biomarkers for cancer classification and treatment. A comprehensive knowledge of AKT1, PIK3CA, PTEN and TP53 mutations in breast cancer was still insufficient in Chinese population. In this study, the complete coding regions and exon-intron boundaries of AKT1, PIK3CA, PTEN and TP53 genes were sequenced in paired breast tumor and normal tissues from 313 Chinese breast cancer patients using microfluidic PCR-based target enrichment and next-generation sequencing technology. Total 120 somatic mutations were identified in 190 of the 313 patients (60.7%), with the mutation frequency of AKT1 as 3.2%, PIK3CA as 36.4%, PTEN as 4.8%, and TP53 as 33.9%. Among these mutations, 1 in PIK3CA (p.I69N), 3 in PTEN (p.K62X, c.635-12_636delTTAACCATGCAGAT and p.N340IfsTer4) and 5 in TP53 (p.Q136AfsTer5, p.K139_P142del, p.Y234dup, p.V274LfsTer31 and p.N310TfsTer35) were novel. Notably, PIK3CA somatic mutations were significantly associated with ER-positive or PR-positive tumors. TP53 somatic mutations were significantly associated with ER-negative, PR-negative, HER2-positive, BRCA1 mutation, Ki67 high expression and basal-like tumors. Our findings provided a comprehensive mutation profiling of AKT1, PIK3CA, PTEN and TP53 genes in Chinese breast cancer patients, which have potential implications in clinical management. |
format | Online Article Text |
id | pubmed-6136723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61367232018-09-27 Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients Li, Guoli Guo, Xinwu Chen, Ming Tang, Lili Jiang, Hui Day, Julia X. Xie, Yueliang Peng, Limin Xu, Xunxun Li, Jinliang Wang, Shouman Xiao, Zhi Dai, Lizhong Wang, Jun PLoS One Research Article Breast cancer, one of the most frequently occurring cancers worldwide, is the leading cause of cancer-related death among women. AKT1, PIK3CA, PTEN and TP53 mutations were common observed in breast cancer representing potential clinical biomarkers for cancer classification and treatment. A comprehensive knowledge of AKT1, PIK3CA, PTEN and TP53 mutations in breast cancer was still insufficient in Chinese population. In this study, the complete coding regions and exon-intron boundaries of AKT1, PIK3CA, PTEN and TP53 genes were sequenced in paired breast tumor and normal tissues from 313 Chinese breast cancer patients using microfluidic PCR-based target enrichment and next-generation sequencing technology. Total 120 somatic mutations were identified in 190 of the 313 patients (60.7%), with the mutation frequency of AKT1 as 3.2%, PIK3CA as 36.4%, PTEN as 4.8%, and TP53 as 33.9%. Among these mutations, 1 in PIK3CA (p.I69N), 3 in PTEN (p.K62X, c.635-12_636delTTAACCATGCAGAT and p.N340IfsTer4) and 5 in TP53 (p.Q136AfsTer5, p.K139_P142del, p.Y234dup, p.V274LfsTer31 and p.N310TfsTer35) were novel. Notably, PIK3CA somatic mutations were significantly associated with ER-positive or PR-positive tumors. TP53 somatic mutations were significantly associated with ER-negative, PR-negative, HER2-positive, BRCA1 mutation, Ki67 high expression and basal-like tumors. Our findings provided a comprehensive mutation profiling of AKT1, PIK3CA, PTEN and TP53 genes in Chinese breast cancer patients, which have potential implications in clinical management. Public Library of Science 2018-09-13 /pmc/articles/PMC6136723/ /pubmed/30212483 http://dx.doi.org/10.1371/journal.pone.0203495 Text en © 2018 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Li, Guoli Guo, Xinwu Chen, Ming Tang, Lili Jiang, Hui Day, Julia X. Xie, Yueliang Peng, Limin Xu, Xunxun Li, Jinliang Wang, Shouman Xiao, Zhi Dai, Lizhong Wang, Jun Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title | Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title_full | Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title_fullStr | Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title_full_unstemmed | Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title_short | Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients |
title_sort | prevalence and spectrum of akt1, pik3ca, pten and tp53 somatic mutations in chinese breast cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136723/ https://www.ncbi.nlm.nih.gov/pubmed/30212483 http://dx.doi.org/10.1371/journal.pone.0203495 |
work_keys_str_mv | AT liguoli prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT guoxinwu prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT chenming prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT tanglili prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT jianghui prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT dayjuliax prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT xieyueliang prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT penglimin prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT xuxunxun prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT lijinliang prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT wangshouman prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT xiaozhi prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT dailizhong prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients AT wangjun prevalenceandspectrumofakt1pik3captenandtp53somaticmutationsinchinesebreastcancerpatients |