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Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients

BACKGROUND: The correlations between circulating tumour DNA (ctDNA)-derived genomic markers and treatment response and survival outcome in Chinese patients with advanced breast cancer (ABC) have not been extensively characterized. METHODS: Blood samples from 141 ABC patients who underwent first-line...

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Autores principales: Liao, Hao, Zhang, Jiayang, Zheng, Tiantian, Liu, Xiaoran, Zhong, Jianxin, Shao, Bin, Dong, Xiaoxi, Wang, Xiaohong, Du, Pan, King, Bonnie L., Jia, Shidong, Yu, Jianjun, Li, Huiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101837/
https://www.ncbi.nlm.nih.gov/pubmed/35562750
http://dx.doi.org/10.1186/s12967-022-03421-8
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author Liao, Hao
Zhang, Jiayang
Zheng, Tiantian
Liu, Xiaoran
Zhong, Jianxin
Shao, Bin
Dong, Xiaoxi
Wang, Xiaohong
Du, Pan
King, Bonnie L.
Jia, Shidong
Yu, Jianjun
Li, Huiping
author_facet Liao, Hao
Zhang, Jiayang
Zheng, Tiantian
Liu, Xiaoran
Zhong, Jianxin
Shao, Bin
Dong, Xiaoxi
Wang, Xiaohong
Du, Pan
King, Bonnie L.
Jia, Shidong
Yu, Jianjun
Li, Huiping
author_sort Liao, Hao
collection PubMed
description BACKGROUND: The correlations between circulating tumour DNA (ctDNA)-derived genomic markers and treatment response and survival outcome in Chinese patients with advanced breast cancer (ABC) have not been extensively characterized. METHODS: Blood samples from 141 ABC patients who underwent first-line standard treatment in Peking University Cancer Hospital were collected. A next-generation sequencing based liquid biopsy assay (PredicineCARE) was used to detect somatic mutations and copy number variations (CNVs) in ctDNA. A subset of matched blood samples and tumour tissue biopsies were compared to evaluate the concordance. RESULTS: Overall, TP53 (44.0%) and PIK3CA (28.4%) were the top two altered genes. Frequent CNVs included amplifications of ERBB2 (24.8%) and FGFR1 (8.5%) and deletions of CDKN2A (3.5%). PIK3CA/TP53 and FGFR1/2/3 variants were associated with drug resistance in hormone receptor-positive (HR +) and human epidermal growth factor receptor 2-positive (HER2 +) patients. The comparison of genomic variants across matched tumour tissue and ctDNA samples revealed a moderate to high concordance that was gene dependent. Triple-negative breast cancer (TNBC) patients harbouring TP53 or PIK3CA alterations had a shorter overall survival than those without corresponding mutations (P = 0.03 and 0.008). A high ctDNA fraction was correlated with a shorter progression-free survival (PFS) (P = 0.005) in TNBC patients. High blood-based tumor mutation burden (bTMB) was associated with a shorter PFS for HER2 + and TNBC patients (P = 0.009 and 0.05). Moreover, disease monitoring revealed several acquired genomic variants such as ESR1 mutations, CDKN2A deletions, and FGFR1 amplifications. CONCLUSIONS: This study revealed the molecular profiles of Chinese patients with ABC and the clinical validity of ctDNA-derived markers, including the ctDNA fraction and bTMB, for predicting treatment response, prognosis, and disease progression. Trial registration: ClinicalTrials.gov ID: NCT03792529. Registered January 3rd 2019, https://clinicaltrials.gov/ct2/show/NCT03792529. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03421-8.
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spelling pubmed-91018372022-05-14 Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients Liao, Hao Zhang, Jiayang Zheng, Tiantian Liu, Xiaoran Zhong, Jianxin Shao, Bin Dong, Xiaoxi Wang, Xiaohong Du, Pan King, Bonnie L. Jia, Shidong Yu, Jianjun Li, Huiping J Transl Med Research BACKGROUND: The correlations between circulating tumour DNA (ctDNA)-derived genomic markers and treatment response and survival outcome in Chinese patients with advanced breast cancer (ABC) have not been extensively characterized. METHODS: Blood samples from 141 ABC patients who underwent first-line standard treatment in Peking University Cancer Hospital were collected. A next-generation sequencing based liquid biopsy assay (PredicineCARE) was used to detect somatic mutations and copy number variations (CNVs) in ctDNA. A subset of matched blood samples and tumour tissue biopsies were compared to evaluate the concordance. RESULTS: Overall, TP53 (44.0%) and PIK3CA (28.4%) were the top two altered genes. Frequent CNVs included amplifications of ERBB2 (24.8%) and FGFR1 (8.5%) and deletions of CDKN2A (3.5%). PIK3CA/TP53 and FGFR1/2/3 variants were associated with drug resistance in hormone receptor-positive (HR +) and human epidermal growth factor receptor 2-positive (HER2 +) patients. The comparison of genomic variants across matched tumour tissue and ctDNA samples revealed a moderate to high concordance that was gene dependent. Triple-negative breast cancer (TNBC) patients harbouring TP53 or PIK3CA alterations had a shorter overall survival than those without corresponding mutations (P = 0.03 and 0.008). A high ctDNA fraction was correlated with a shorter progression-free survival (PFS) (P = 0.005) in TNBC patients. High blood-based tumor mutation burden (bTMB) was associated with a shorter PFS for HER2 + and TNBC patients (P = 0.009 and 0.05). Moreover, disease monitoring revealed several acquired genomic variants such as ESR1 mutations, CDKN2A deletions, and FGFR1 amplifications. CONCLUSIONS: This study revealed the molecular profiles of Chinese patients with ABC and the clinical validity of ctDNA-derived markers, including the ctDNA fraction and bTMB, for predicting treatment response, prognosis, and disease progression. Trial registration: ClinicalTrials.gov ID: NCT03792529. Registered January 3rd 2019, https://clinicaltrials.gov/ct2/show/NCT03792529. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03421-8. BioMed Central 2022-05-13 /pmc/articles/PMC9101837/ /pubmed/35562750 http://dx.doi.org/10.1186/s12967-022-03421-8 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
Liao, Hao
Zhang, Jiayang
Zheng, Tiantian
Liu, Xiaoran
Zhong, Jianxin
Shao, Bin
Dong, Xiaoxi
Wang, Xiaohong
Du, Pan
King, Bonnie L.
Jia, Shidong
Yu, Jianjun
Li, Huiping
Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title_full Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title_fullStr Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title_full_unstemmed Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title_short Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients
title_sort identification of mutation patterns and circulating tumour dna-derived prognostic markers in advanced breast cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101837/
https://www.ncbi.nlm.nih.gov/pubmed/35562750
http://dx.doi.org/10.1186/s12967-022-03421-8
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