Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients

Background: Breast cancer (BC) is a type of disease with high heterogeneity. Molecular profiling, by revealing the intrinsic nature of its various subtypes, has extensively improved the therapeutic management of BC patients. However, the genomic mutation landscape of Chinese metastatic BC has not be...

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Main Authors: Zhonghua Tao, Ting Li, Zhe Feng, Chang Liu, Yilin Shao, Mingyu Zhu, Chengcheng Gong, Biyun Wang, Jun Cao, Leipin Wang, Yiqun Du, Analyn Lizaso, Bing Li, Jian Zhang, Xichun Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01023/full
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author Zhonghua Tao
Zhonghua Tao
Ting Li
Ting Li
Zhe Feng
Zhe Feng
Chang Liu
Chang Liu
Yilin Shao
Yilin Shao
Mingyu Zhu
Mingyu Zhu
Chengcheng Gong
Chengcheng Gong
Biyun Wang
Biyun Wang
Jun Cao
Jun Cao
Leipin Wang
Leipin Wang
Yiqun Du
Yiqun Du
Analyn Lizaso
Bing Li
Jian Zhang
Jian Zhang
Xichun Hu
Xichun Hu
spellingShingle Zhonghua Tao
Zhonghua Tao
Ting Li
Ting Li
Zhe Feng
Zhe Feng
Chang Liu
Chang Liu
Yilin Shao
Yilin Shao
Mingyu Zhu
Mingyu Zhu
Chengcheng Gong
Chengcheng Gong
Biyun Wang
Biyun Wang
Jun Cao
Jun Cao
Leipin Wang
Leipin Wang
Yiqun Du
Yiqun Du
Analyn Lizaso
Bing Li
Jian Zhang
Jian Zhang
Xichun Hu
Xichun Hu
Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
Frontiers in Oncology
genomic profiling
metastatic breast cancer
liquid biopsy
next-generation sequencing
ctDNA assay
author_facet Zhonghua Tao
Zhonghua Tao
Ting Li
Ting Li
Zhe Feng
Zhe Feng
Chang Liu
Chang Liu
Yilin Shao
Yilin Shao
Mingyu Zhu
Mingyu Zhu
Chengcheng Gong
Chengcheng Gong
Biyun Wang
Biyun Wang
Jun Cao
Jun Cao
Leipin Wang
Leipin Wang
Yiqun Du
Yiqun Du
Analyn Lizaso
Bing Li
Jian Zhang
Jian Zhang
Xichun Hu
Xichun Hu
author_sort Zhonghua Tao
title Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
title_short Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
title_full Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
title_fullStr Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
title_full_unstemmed Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients
title_sort characterizations of cancer gene mutations in chinese metastatic breast cancer patients
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2020-06-01
description Background: Breast cancer (BC) is a type of disease with high heterogeneity. Molecular profiling, by revealing the intrinsic nature of its various subtypes, has extensively improved the therapeutic management of BC patients. However, the genomic mutation landscape of Chinese metastatic BC has not been fully explored.Methods: Matched plasma and mononuclear cells from 290 Chinese women with metastatic BC were sequenced using either of the two commercially-available panels consisting of 520 cancer-related and 108 BC-related genes. Both panels cover the same critical regions of 91 genes. The circulating tumor DNA mutation profile from our cohort was then compared with publicly-available metastatic BC datasets from Memorial Sloan Kettering Cancer Center (MSKCC) and Pan-cancer analysis of whole genomes (PCAWG).Results: A total of 1,201 mutations spanning 91 genes were detected from 234 patients, resulting in a mutation detection rate of 80.7%. TP53 (64.1%) was the gene with highest mutation frequency, followed by PIK3CA (31%), PTEN (11%), and RB1 (10%). Copy number amplifications (CNAs) in MYC (14.1%), FGFR1 (13.3%), CCND1 (6.6%), FGF3 (6.6%), FGF4 (6.2%) and FGF19 (6.2%) were also detected from our cohort. TP53 mutations were significantly more frequent among triple negative BC (TNBC), HR−/HER2+, and HR+/HER2+ BC, while less common in HR+/HER2– (P < 0.01). Meanwhile, PIK3CA mutations were significantly more frequent among HR+/HER2+, HR+/HER2–, and HR−/HER2+ BC, while less common in TNBC (P < 0.01). Pathogenic or likely pathogenic BRCA1/2 germline mutations were detected in 5.9% of the cohort and 4.4% in TNBC subgroup. Maximum allelic fraction (maxAF) of TP53, RB1, and PIK3CA mutations were associated with multiple organ metastasis. Patients with PIK3CA, PTEN, and RB1 mutation were more likely to have liver metastasis (P < 0.02). Compared with MSKCC and PCAWG dataset, Chinese patients had observably difference in genetic variation rates in different molecular subtypes (TNBC: TP53 73.0 vs. 91.5%, P < 0.001; PIK3CA 21.2 vs. 13.2%, P = 0.061; HR+/HER2−: FGFR1 3.3 vs. 0.7%, P = 0.035; TP 53 46.2 vs. 27.7%, P < 0.001; RB1 6.6 vs. 2.7%, P = 0.046; CDKN2A 7.7 vs. 1.0%, P < 0.001; PIK3CA 30.8 vs. 44.2%, P = 0.012; CDH1 1.1 vs. 18.2%, P < 0.001; GATA3 7.7 vs. 17.2%, P = 0.02).Conclusions: A distinct gene mutation profile was elucidated in Chinese women with metastatic BC, justifying further research. Liquid biopsy provides a quick, real-time, and minimally invasive tool for future clinical trial and routine practice.
topic genomic profiling
metastatic breast cancer
liquid biopsy
next-generation sequencing
ctDNA assay
url https://www.frontiersin.org/article/10.3389/fonc.2020.01023/full
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spelling doaj-12bca6d9ca0d4b12895c6c74c5c7790b2020-11-25T03:23:13ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-06-011010.3389/fonc.2020.01023522941Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer PatientsZhonghua Tao0Zhonghua Tao1Ting Li2Ting Li3Zhe Feng4Zhe Feng5Chang Liu6Chang Liu7Yilin Shao8Yilin Shao9Mingyu Zhu10Mingyu Zhu11Chengcheng Gong12Chengcheng Gong13Biyun Wang14Biyun Wang15Jun Cao16Jun Cao17Leipin Wang18Leipin Wang19Yiqun Du20Yiqun Du21Analyn Lizaso22Bing Li23Jian Zhang24Jian Zhang25Xichun Hu26Xichun Hu27Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaBurning Rock Biotech, Guangzhou, ChinaBurning Rock Biotech, Guangzhou, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, ChinaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, ChinaBackground: Breast cancer (BC) is a type of disease with high heterogeneity. Molecular profiling, by revealing the intrinsic nature of its various subtypes, has extensively improved the therapeutic management of BC patients. However, the genomic mutation landscape of Chinese metastatic BC has not been fully explored.Methods: Matched plasma and mononuclear cells from 290 Chinese women with metastatic BC were sequenced using either of the two commercially-available panels consisting of 520 cancer-related and 108 BC-related genes. Both panels cover the same critical regions of 91 genes. The circulating tumor DNA mutation profile from our cohort was then compared with publicly-available metastatic BC datasets from Memorial Sloan Kettering Cancer Center (MSKCC) and Pan-cancer analysis of whole genomes (PCAWG).Results: A total of 1,201 mutations spanning 91 genes were detected from 234 patients, resulting in a mutation detection rate of 80.7%. TP53 (64.1%) was the gene with highest mutation frequency, followed by PIK3CA (31%), PTEN (11%), and RB1 (10%). Copy number amplifications (CNAs) in MYC (14.1%), FGFR1 (13.3%), CCND1 (6.6%), FGF3 (6.6%), FGF4 (6.2%) and FGF19 (6.2%) were also detected from our cohort. TP53 mutations were significantly more frequent among triple negative BC (TNBC), HR−/HER2+, and HR+/HER2+ BC, while less common in HR+/HER2– (P < 0.01). Meanwhile, PIK3CA mutations were significantly more frequent among HR+/HER2+, HR+/HER2–, and HR−/HER2+ BC, while less common in TNBC (P < 0.01). Pathogenic or likely pathogenic BRCA1/2 germline mutations were detected in 5.9% of the cohort and 4.4% in TNBC subgroup. Maximum allelic fraction (maxAF) of TP53, RB1, and PIK3CA mutations were associated with multiple organ metastasis. Patients with PIK3CA, PTEN, and RB1 mutation were more likely to have liver metastasis (P < 0.02). Compared with MSKCC and PCAWG dataset, Chinese patients had observably difference in genetic variation rates in different molecular subtypes (TNBC: TP53 73.0 vs. 91.5%, P < 0.001; PIK3CA 21.2 vs. 13.2%, P = 0.061; HR+/HER2−: FGFR1 3.3 vs. 0.7%, P = 0.035; TP 53 46.2 vs. 27.7%, P < 0.001; RB1 6.6 vs. 2.7%, P = 0.046; CDKN2A 7.7 vs. 1.0%, P < 0.001; PIK3CA 30.8 vs. 44.2%, P = 0.012; CDH1 1.1 vs. 18.2%, P < 0.001; GATA3 7.7 vs. 17.2%, P = 0.02).Conclusions: A distinct gene mutation profile was elucidated in Chinese women with metastatic BC, justifying further research. Liquid biopsy provides a quick, real-time, and minimally invasive tool for future clinical trial and routine practice.https://www.frontiersin.org/article/10.3389/fonc.2020.01023/fullgenomic profilingmetastatic breast cancerliquid biopsynext-generation sequencingctDNA assay