Cargando…
Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics
Background: Comprehensive analysis of PI3K-AKT-mTOR pathway gene alterations in breast cancer may be helpful for targeted therapy. Methods: We performed targeted sequencing using a panel of 520 cancer-related genes to investigate gene alterations in the PI3K-AKT-mTOR pathway from 589 consecutive Chi...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176410/ https://www.ncbi.nlm.nih.gov/pubmed/34093841 http://dx.doi.org/10.7150/jca.52993 |
_version_ | 1783703254123675648 |
---|---|
author | Xiao, Weikai Zhang, Guochun Chen, Bo Chen, Xiaoqing Wen, Lingzhu Lai, Jianguo Li, Xuerui Li, Min Liu, Hao Liu, Jing Han-Zhang, Han Lizaso, Analyn Liao, Ning |
author_facet | Xiao, Weikai Zhang, Guochun Chen, Bo Chen, Xiaoqing Wen, Lingzhu Lai, Jianguo Li, Xuerui Li, Min Liu, Hao Liu, Jing Han-Zhang, Han Lizaso, Analyn Liao, Ning |
author_sort | Xiao, Weikai |
collection | PubMed |
description | Background: Comprehensive analysis of PI3K-AKT-mTOR pathway gene alterations in breast cancer may be helpful for targeted therapy. Methods: We performed targeted sequencing using a panel of 520 cancer-related genes to investigate gene alterations in the PI3K-AKT-mTOR pathway from 589 consecutive Chinese women diagnosed with stage I-III breast cancer. Analyses of overall survival (OS) were performed using the publicly available clinical and genomic data from METABRIC. Results: PI3K-AKT-mTOR pathway gene alterations were detected in 62.6% (369/589) of our cohort. The most commonly altered genes were PIK3CA (45%), PTEN (7.5%), AKT1 (5.9 %), PIK3R1 (2.7%), and PIK3CG (2%). Four PIK3CA mutations (E545K, H1047R, E542K, and H1047L) were detected in all the breast cancer molecular subtypes. Seven PIK3CA mutations (E545G, E418_L422delinsV, E726K, E110del, G1049R, G118D, and D350G) were only detected in HR(+) subtypes. Two PIK3CA mutations (C420R and N345K) were only detected in non-triple-negative subtypes. Most cases with PTEN mutation were HR(+)/HER2(-) subtype (77.3%), followed by triple-negative subtype (18.2%). In the METABRIC breast cancer dataset, no significant OS difference was observed between the PIK3CA-mutant and wild-type groups. However, patients with multiple PIK3CA mutations (mOS: 131 vs. 159 months, P= 0.029), or PIK3CA mutations located in the C2 domain had significantly shorter OS (mOS, 130 vs. 154 months, P=0.020) than those without the mutations. Conclusions: Our study reveals the heterogeneity in PI3K-AKT-mTOR pathway among the breast cancer molecular subtypes in our cohort. Moreover, the number and specific sites of PIK3CA mutations have distinct prognostic impact. |
format | Online Article Text |
id | pubmed-8176410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-81764102021-06-04 Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics Xiao, Weikai Zhang, Guochun Chen, Bo Chen, Xiaoqing Wen, Lingzhu Lai, Jianguo Li, Xuerui Li, Min Liu, Hao Liu, Jing Han-Zhang, Han Lizaso, Analyn Liao, Ning J Cancer Research Paper Background: Comprehensive analysis of PI3K-AKT-mTOR pathway gene alterations in breast cancer may be helpful for targeted therapy. Methods: We performed targeted sequencing using a panel of 520 cancer-related genes to investigate gene alterations in the PI3K-AKT-mTOR pathway from 589 consecutive Chinese women diagnosed with stage I-III breast cancer. Analyses of overall survival (OS) were performed using the publicly available clinical and genomic data from METABRIC. Results: PI3K-AKT-mTOR pathway gene alterations were detected in 62.6% (369/589) of our cohort. The most commonly altered genes were PIK3CA (45%), PTEN (7.5%), AKT1 (5.9 %), PIK3R1 (2.7%), and PIK3CG (2%). Four PIK3CA mutations (E545K, H1047R, E542K, and H1047L) were detected in all the breast cancer molecular subtypes. Seven PIK3CA mutations (E545G, E418_L422delinsV, E726K, E110del, G1049R, G118D, and D350G) were only detected in HR(+) subtypes. Two PIK3CA mutations (C420R and N345K) were only detected in non-triple-negative subtypes. Most cases with PTEN mutation were HR(+)/HER2(-) subtype (77.3%), followed by triple-negative subtype (18.2%). In the METABRIC breast cancer dataset, no significant OS difference was observed between the PIK3CA-mutant and wild-type groups. However, patients with multiple PIK3CA mutations (mOS: 131 vs. 159 months, P= 0.029), or PIK3CA mutations located in the C2 domain had significantly shorter OS (mOS, 130 vs. 154 months, P=0.020) than those without the mutations. Conclusions: Our study reveals the heterogeneity in PI3K-AKT-mTOR pathway among the breast cancer molecular subtypes in our cohort. Moreover, the number and specific sites of PIK3CA mutations have distinct prognostic impact. Ivyspring International Publisher 2021-05-27 /pmc/articles/PMC8176410/ /pubmed/34093841 http://dx.doi.org/10.7150/jca.52993 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Xiao, Weikai Zhang, Guochun Chen, Bo Chen, Xiaoqing Wen, Lingzhu Lai, Jianguo Li, Xuerui Li, Min Liu, Hao Liu, Jing Han-Zhang, Han Lizaso, Analyn Liao, Ning Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title | Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title_full | Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title_fullStr | Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title_full_unstemmed | Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title_short | Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics |
title_sort | mutational landscape of pi3k-akt-mtor pathway in breast cancer: implications for targeted therapeutics |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176410/ https://www.ncbi.nlm.nih.gov/pubmed/34093841 http://dx.doi.org/10.7150/jca.52993 |
work_keys_str_mv | AT xiaoweikai mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT zhangguochun mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT chenbo mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT chenxiaoqing mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT wenlingzhu mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT laijianguo mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT lixuerui mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT limin mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT liuhao mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT liujing mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT hanzhanghan mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT lizasoanalyn mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics AT liaoning mutationallandscapeofpi3kaktmtorpathwayinbreastcancerimplicationsfortargetedtherapeutics |