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Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population
PURPOSE: To analyze the mutational landscape of pan-cancer patients with PIK3CA mutations in Chinese population in real-world. METHODS: We analyzed PIK3CA mutation status in sequencing data of cell-free DNA from plasma and genomic DNA from matched peripheral blood lymphocyte in 11,904 Chinese pan-ca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248192/ https://www.ncbi.nlm.nih.gov/pubmed/35778737 http://dx.doi.org/10.1186/s12920-022-01297-7 |
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author | Huang, Qingfeng Zhou, Yang Wang, Bowen Zhao, Yi Zhang, Fengxia Ding, Bowen |
author_facet | Huang, Qingfeng Zhou, Yang Wang, Bowen Zhao, Yi Zhang, Fengxia Ding, Bowen |
author_sort | Huang, Qingfeng |
collection | PubMed |
description | PURPOSE: To analyze the mutational landscape of pan-cancer patients with PIK3CA mutations in Chinese population in real-world. METHODS: We analyzed PIK3CA mutation status in sequencing data of cell-free DNA from plasma and genomic DNA from matched peripheral blood lymphocyte in 11,904 Chinese pan-cancer patients, and compared them with genomic data from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Besides, concomitant genomic aberrations in PIK3CA-mutated samples were detected to investigate cancer driver genes, as well as their enriched pathways. Meanwhile, the mutations of Alpelisib targeting genes were screened and their co-alterations were analyzed according to OncoKB definition to identify the potential actionable ones. RESULTS: The proportion of patients with PIK3CA mutations varied among 21 types of cancer, with the top being BRCA, CESC, SCL, and UCEC. The most common PIK3CA mutation hotspots were found to be E545K, E542K and H1047R. The Chinese cohort had significantly lower frequencies of PIK3CA mutations in breast and stomach cancers, but markedly higher PIK3CA mutation frequencies in large intestine, kidney and lung cancers than the COSMIC cohort. Compared with COSMIC cohort, the mutation frequencies of Alpelisib-targeted genes in breast cancer were significantly reduced in the Chinese cohort. All PIK3CA-mutated patients had concomitant genomic aberrations. While the most common concomitant genomic alterations occurred in TP53, EGFR and FAT1, these co-mutated genes were mainly enriched in RTK/RAS pathway, PI3K pathway and P53 pathway. Moreover, 83.6% of patients carrying mutations in Alpelisib-targeted genes had at least one actionable concomitant alteration. Level 1 actionable alteration was identified in LUAD, BRCA, COAD, LUSC, READ, and STAD. CONCLUSION: Compared with the Western cohort, the mutation frequency of PIK3CA in breast cancer was reduced in the Chinese cohort. RTK/RAS pathway, PI3K pathway and P53 pathway were identified as the most common co-mutation pathways, suggesting that they may potentially serve as targets for possible Alpelisib-based combination therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01297-7. |
format | Online Article Text |
id | pubmed-9248192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92481922022-07-02 Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population Huang, Qingfeng Zhou, Yang Wang, Bowen Zhao, Yi Zhang, Fengxia Ding, Bowen BMC Med Genomics Research PURPOSE: To analyze the mutational landscape of pan-cancer patients with PIK3CA mutations in Chinese population in real-world. METHODS: We analyzed PIK3CA mutation status in sequencing data of cell-free DNA from plasma and genomic DNA from matched peripheral blood lymphocyte in 11,904 Chinese pan-cancer patients, and compared them with genomic data from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Besides, concomitant genomic aberrations in PIK3CA-mutated samples were detected to investigate cancer driver genes, as well as their enriched pathways. Meanwhile, the mutations of Alpelisib targeting genes were screened and their co-alterations were analyzed according to OncoKB definition to identify the potential actionable ones. RESULTS: The proportion of patients with PIK3CA mutations varied among 21 types of cancer, with the top being BRCA, CESC, SCL, and UCEC. The most common PIK3CA mutation hotspots were found to be E545K, E542K and H1047R. The Chinese cohort had significantly lower frequencies of PIK3CA mutations in breast and stomach cancers, but markedly higher PIK3CA mutation frequencies in large intestine, kidney and lung cancers than the COSMIC cohort. Compared with COSMIC cohort, the mutation frequencies of Alpelisib-targeted genes in breast cancer were significantly reduced in the Chinese cohort. All PIK3CA-mutated patients had concomitant genomic aberrations. While the most common concomitant genomic alterations occurred in TP53, EGFR and FAT1, these co-mutated genes were mainly enriched in RTK/RAS pathway, PI3K pathway and P53 pathway. Moreover, 83.6% of patients carrying mutations in Alpelisib-targeted genes had at least one actionable concomitant alteration. Level 1 actionable alteration was identified in LUAD, BRCA, COAD, LUSC, READ, and STAD. CONCLUSION: Compared with the Western cohort, the mutation frequency of PIK3CA in breast cancer was reduced in the Chinese cohort. RTK/RAS pathway, PI3K pathway and P53 pathway were identified as the most common co-mutation pathways, suggesting that they may potentially serve as targets for possible Alpelisib-based combination therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01297-7. BioMed Central 2022-07-01 /pmc/articles/PMC9248192/ /pubmed/35778737 http://dx.doi.org/10.1186/s12920-022-01297-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Huang, Qingfeng Zhou, Yang Wang, Bowen Zhao, Yi Zhang, Fengxia Ding, Bowen Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title | Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title_full | Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title_fullStr | Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title_full_unstemmed | Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title_short | Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population |
title_sort | mutational landscape of pan-cancer patients with pik3ca alterations in chinese population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248192/ https://www.ncbi.nlm.nih.gov/pubmed/35778737 http://dx.doi.org/10.1186/s12920-022-01297-7 |
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