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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| 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 |
| Abstract | 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 . |
| Related Links | https://translational-medicine.biomedcentral.com/counter/pdf/10.1186/s12967-022-03421-8.pdf |
| Ending Page | 16 |
| Page Count | 16 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14795876 |
| DOI | 10.1186/s12967-022-03421-8 |
| Journal | Journal of Translational Medicine |
| Issue Number | 1 |
| Volume Number | 20 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-05-13 |
| Access Restriction | Open |
| Subject Keyword | Biomedicine Medicine Public Health Next generation sequencing Advanced breast cancer ctDNA fraction Tumor mutation burden Survival outcomes Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biochemistry, Genetics and Molecular Biology Medicine |
| Journal Impact Factor | 6.1/2023 |
| 5-Year Journal Impact Factor | 6.3/2023 |
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