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Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women

Considerable efforts have been devoted to exploring the breast cancer mutational landscape to understand its genetic complexity. However, no studies have yet comprehensively elucidated the molecular characterization of breast tumors in Chinese women. This study aimed to determine the potential clini...

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Autores principales: Wang, Yinghao, Lin, Lizhi, Li, Linhong, Wen, Jialiang, Chi, Yili, Hao, Rutian, Dai, Xuanxuan, Chen, Yizuo, Huang, Duping, Zhou, Yili, You, Jie, Ye, Zhiqiang, Chen, Hao, Jin, Lingli, Chen, Danxiang, Yang, Fan, Xia, Erjie, Ma, Xueyan, Guo, Fengyu, Tong, Yunguang, Zheng, Min, Wang, Ouchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109076/
https://www.ncbi.nlm.nih.gov/pubmed/33893247
http://dx.doi.org/10.18632/aging.202888
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author Wang, Yinghao
Lin, Lizhi
Li, Linhong
Wen, Jialiang
Chi, Yili
Hao, Rutian
Dai, Xuanxuan
Chen, Yizuo
Huang, Duping
Zhou, Yili
You, Jie
Ye, Zhiqiang
Chen, Hao
Jin, Lingli
Chen, Danxiang
Yang, Fan
Xia, Erjie
Ma, Xueyan
Guo, Fengyu
Tong, Yunguang
Zheng, Min
Wang, Ouchen
author_facet Wang, Yinghao
Lin, Lizhi
Li, Linhong
Wen, Jialiang
Chi, Yili
Hao, Rutian
Dai, Xuanxuan
Chen, Yizuo
Huang, Duping
Zhou, Yili
You, Jie
Ye, Zhiqiang
Chen, Hao
Jin, Lingli
Chen, Danxiang
Yang, Fan
Xia, Erjie
Ma, Xueyan
Guo, Fengyu
Tong, Yunguang
Zheng, Min
Wang, Ouchen
author_sort Wang, Yinghao
collection PubMed
description Considerable efforts have been devoted to exploring the breast cancer mutational landscape to understand its genetic complexity. However, no studies have yet comprehensively elucidated the molecular characterization of breast tumors in Chinese women. This study aimed to determine the potential clinical utility of peripheral blood assessment for circulating tumor-derived DNA (ctDNA) and comprehensively characterize the female Chinese population’s genetic mutational spectrum. We used Omi-Seq to create cancer profiles of 273 patients enrolled at The First Affiliated Hospital of Wenzhou Medical University. The gene landscape results indicate PIK3CA and TP53 as the most frequently detected genes, followed by ERBB2, in Chinese breast cancer patients. The accuracy of ERBB2 copy number variations in tissue/formalin-fixed and paraffin-embedded samples was 95% with 86% sensitivity and 99% specificity. Moreover, mutation numbers varied between different molecular cell-free DNA subtypes, with the basal-like patients harboring a higher number of variants than the luminal patients. Furthermore, ratio changes in the max ctDNA allele fraction highly correlated with clinical response measurements, including cancer relapse and metastasis. Our data demonstrate that ctDNA characterization using the Omi-Seq platform can extend the capacity of personalized clinical cancer management.
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spelling pubmed-81090762021-05-12 Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women Wang, Yinghao Lin, Lizhi Li, Linhong Wen, Jialiang Chi, Yili Hao, Rutian Dai, Xuanxuan Chen, Yizuo Huang, Duping Zhou, Yili You, Jie Ye, Zhiqiang Chen, Hao Jin, Lingli Chen, Danxiang Yang, Fan Xia, Erjie Ma, Xueyan Guo, Fengyu Tong, Yunguang Zheng, Min Wang, Ouchen Aging (Albany NY) Research Paper Considerable efforts have been devoted to exploring the breast cancer mutational landscape to understand its genetic complexity. However, no studies have yet comprehensively elucidated the molecular characterization of breast tumors in Chinese women. This study aimed to determine the potential clinical utility of peripheral blood assessment for circulating tumor-derived DNA (ctDNA) and comprehensively characterize the female Chinese population’s genetic mutational spectrum. We used Omi-Seq to create cancer profiles of 273 patients enrolled at The First Affiliated Hospital of Wenzhou Medical University. The gene landscape results indicate PIK3CA and TP53 as the most frequently detected genes, followed by ERBB2, in Chinese breast cancer patients. The accuracy of ERBB2 copy number variations in tissue/formalin-fixed and paraffin-embedded samples was 95% with 86% sensitivity and 99% specificity. Moreover, mutation numbers varied between different molecular cell-free DNA subtypes, with the basal-like patients harboring a higher number of variants than the luminal patients. Furthermore, ratio changes in the max ctDNA allele fraction highly correlated with clinical response measurements, including cancer relapse and metastasis. Our data demonstrate that ctDNA characterization using the Omi-Seq platform can extend the capacity of personalized clinical cancer management. Impact Journals 2021-04-23 /pmc/articles/PMC8109076/ /pubmed/33893247 http://dx.doi.org/10.18632/aging.202888 Text en Copyright: © 2021 Wang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Yinghao
Lin, Lizhi
Li, Linhong
Wen, Jialiang
Chi, Yili
Hao, Rutian
Dai, Xuanxuan
Chen, Yizuo
Huang, Duping
Zhou, Yili
You, Jie
Ye, Zhiqiang
Chen, Hao
Jin, Lingli
Chen, Danxiang
Yang, Fan
Xia, Erjie
Ma, Xueyan
Guo, Fengyu
Tong, Yunguang
Zheng, Min
Wang, Ouchen
Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title_full Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title_fullStr Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title_full_unstemmed Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title_short Genetic landscape of breast cancer and mutation tracking with circulating tumor DNA in Chinese women
title_sort genetic landscape of breast cancer and mutation tracking with circulating tumor dna in chinese women
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109076/
https://www.ncbi.nlm.nih.gov/pubmed/33893247
http://dx.doi.org/10.18632/aging.202888
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