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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Frontiers Media S.A.
2020-06-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2020.01023/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
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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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 |