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Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population

BACKGROUND: Breast cancer (BC) is the most common malignancy with very high incidence and relatively high mortality in women. The PIK3CA gene plays a pivotal role in the pathogenicity of breast cancer. Despite this, the mutational status of all exons except exons 9 and 20 still remains unknown. METH...

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Autores principales: Kumar, Rahul, Kumar, Rakesh, Goel, Harsh, Kumar, Sonu, Ningombam, Somorjit Singh, Haider, Imran, Agrawal, Usha, Deo, Svs, Gogia, Ajay, Batra, Atul, Sharma, Ashok, Mathur, Sandeep, Ranjan, Amar, Chopra, Anita, Hussain, Showket, Tanwar, Pranay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568783/
https://www.ncbi.nlm.nih.gov/pubmed/37821962
http://dx.doi.org/10.1186/s12935-023-03075-6
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author Kumar, Rahul
Kumar, Rakesh
Goel, Harsh
Kumar, Sonu
Ningombam, Somorjit Singh
Haider, Imran
Agrawal, Usha
Deo, Svs
Gogia, Ajay
Batra, Atul
Sharma, Ashok
Mathur, Sandeep
Ranjan, Amar
Chopra, Anita
Hussain, Showket
Tanwar, Pranay
author_facet Kumar, Rahul
Kumar, Rakesh
Goel, Harsh
Kumar, Sonu
Ningombam, Somorjit Singh
Haider, Imran
Agrawal, Usha
Deo, Svs
Gogia, Ajay
Batra, Atul
Sharma, Ashok
Mathur, Sandeep
Ranjan, Amar
Chopra, Anita
Hussain, Showket
Tanwar, Pranay
author_sort Kumar, Rahul
collection PubMed
description BACKGROUND: Breast cancer (BC) is the most common malignancy with very high incidence and relatively high mortality in women. The PIK3CA gene plays a pivotal role in the pathogenicity of breast cancer. Despite this, the mutational status of all exons except exons 9 and 20 still remains unknown. METHODS: This study uses the whole exome sequencing (WES) based approach to identify somatic PIK3CA mutations in Indian BC cohorts. The resultant hotspot mutations were validated by droplet digital PCR (ddPCR). Further, molecular dynamics (MD) simulation was applied to elucidate the conformational and functional effects of hotspot position on PIK3CA protein. RESULTS: In our cohort, PIK3CA showed a 44.4% somatic mutation rate and was among the top mutated genes. The mutations of PIK3CA were confined in Exons 5, 9, 11, 18, and 20, whereas the maximum number of mutations lies within exons 9 and 20. A total of 9 variants were found in our study, of which 2 were novel mutations observed on exons 9 (p.H554L) and 11 (p.S629P). However, H1047R was the hotspot mutation at exon 20 (20%). In tumor tissues, there was a considerable difference between copy number of wild-type and H1047R mutant was detected by ddPCR. Significant structural and conformational changes were observed during MD simulation, induced due to point mutation at H1047R/L position. CONCLUSIONS: The current study provides a comprehensive view of novel as well as reported single nucleotide variants (SNVs) in PIK3CA gene associated with Indian breast cancer cases. The mutation status of H1047R/L could serve as a prognostic value in terms of selecting targeted therapy in BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03075-6.
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spelling pubmed-105687832023-10-13 Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population Kumar, Rahul Kumar, Rakesh Goel, Harsh Kumar, Sonu Ningombam, Somorjit Singh Haider, Imran Agrawal, Usha Deo, Svs Gogia, Ajay Batra, Atul Sharma, Ashok Mathur, Sandeep Ranjan, Amar Chopra, Anita Hussain, Showket Tanwar, Pranay Cancer Cell Int Research BACKGROUND: Breast cancer (BC) is the most common malignancy with very high incidence and relatively high mortality in women. The PIK3CA gene plays a pivotal role in the pathogenicity of breast cancer. Despite this, the mutational status of all exons except exons 9 and 20 still remains unknown. METHODS: This study uses the whole exome sequencing (WES) based approach to identify somatic PIK3CA mutations in Indian BC cohorts. The resultant hotspot mutations were validated by droplet digital PCR (ddPCR). Further, molecular dynamics (MD) simulation was applied to elucidate the conformational and functional effects of hotspot position on PIK3CA protein. RESULTS: In our cohort, PIK3CA showed a 44.4% somatic mutation rate and was among the top mutated genes. The mutations of PIK3CA were confined in Exons 5, 9, 11, 18, and 20, whereas the maximum number of mutations lies within exons 9 and 20. A total of 9 variants were found in our study, of which 2 were novel mutations observed on exons 9 (p.H554L) and 11 (p.S629P). However, H1047R was the hotspot mutation at exon 20 (20%). In tumor tissues, there was a considerable difference between copy number of wild-type and H1047R mutant was detected by ddPCR. Significant structural and conformational changes were observed during MD simulation, induced due to point mutation at H1047R/L position. CONCLUSIONS: The current study provides a comprehensive view of novel as well as reported single nucleotide variants (SNVs) in PIK3CA gene associated with Indian breast cancer cases. The mutation status of H1047R/L could serve as a prognostic value in terms of selecting targeted therapy in BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-023-03075-6. BioMed Central 2023-10-11 /pmc/articles/PMC10568783/ /pubmed/37821962 http://dx.doi.org/10.1186/s12935-023-03075-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kumar, Rahul
Kumar, Rakesh
Goel, Harsh
Kumar, Sonu
Ningombam, Somorjit Singh
Haider, Imran
Agrawal, Usha
Deo, Svs
Gogia, Ajay
Batra, Atul
Sharma, Ashok
Mathur, Sandeep
Ranjan, Amar
Chopra, Anita
Hussain, Showket
Tanwar, Pranay
Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title_full Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title_fullStr Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title_full_unstemmed Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title_short Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population
title_sort whole exome sequencing identifies novel variants of pik3ca and validation of hotspot mutation by droplet digital pcr in breast cancer among indian population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568783/
https://www.ncbi.nlm.nih.gov/pubmed/37821962
http://dx.doi.org/10.1186/s12935-023-03075-6
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