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Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
Published on: December 5, 2017
Quantitative assessment of HER2 amplification in HER2-positive breast cancer: its association with clinical outcomes
Qijia Xuan1, Hongfei Ji, Xuanchen Tao
1Department of Internal Medicine, The Third Affiliated Hospital of Harbin Medical University, Haping Road 150 of Nangang District, Harbin, 150081, Heilongjiang, China.
Abstract:
Human epidermal growth factor receptor 2 (HER2) is an effective therapeutic target in breast cancer. However, not all patients benefit from trastuzumab-based therapy. We aimed to investigate whether patients with different levels of HER2 amplification would experience different clinical outcomes with trastuzumab-based chemotherapy. We quantified the HER2 gene copy number (GCN) and HER2/centromere chromosome probe 17 (CEP17) ratio in 291 breast cancer patients with HER2 amplification confirmed by immunohistochemistry and fluorescence in situ hybridization. The optimal cutoff points for HER2 GCN and the HER2/CEP17 ratios for distinguishing positive results were determined by receiver operating characteristic (ROC) curve analyses. ROC analysis identified optimal cutoff points for HER2 GCN and HER2/CEP17 ratios as 11.5 and 6.5 (P = 0.039 and P = 0.012), respectively. The DFS in patients with HER2 GCN <11.5 was significantly longer than in HER2 GCN ≥11.5 patients (P = 0.015) according to Kaplan-Meier survival curves analysis. Similarly, patients with HER2/CEP17 ratios <6.5 had a significantly longer DFS than those with HER2/CEP17 ratios ≥6.5 (P = 0.013). Moreover, patients with HER2 cluster amplification showed a worse survival than those with HER2 non-cluster amplification (P = 0.041). This study demonstrated a significant association between the level of HER2 amplification and survival time in a relatively large cohort of HER2-positive breast cancer patients undergoing trastuzumab-based chemotherapy. Further investigations of more precise quantitative measurements and larger cohorts are required to define this threshold.
Insights
Higher human epidermal growth factor receptor 2 (HER2) gene amplification levels correlate with shorter survival in HER2-positive breast cancer patients receiving trastuzumab therapy. Quantitative analysis reveals distinct outcomes based on HER2 gene copy number and HER2/CEP17 ratios.
Area of Science:
- Oncology
- Genetics
- Pharmacogenomics
Background:
- Human epidermal growth factor receptor 2 (HER2) is a key therapeutic target in breast cancer.
- Trastuzumab-based therapies are effective, but patient response varies.
- Understanding HER2 amplification levels is crucial for predicting treatment outcomes.
Purpose of the Study:
- To investigate the association between different levels of HER2 amplification and clinical outcomes in breast cancer patients.
- To determine optimal cutoff points for HER2 gene copy number (GCN) and HER2/CEP17 ratio.
- To evaluate the impact of HER2 cluster amplification on patient survival.
Main Methods:
- Quantification of HER2 GCN and HER2/CEP17 ratio in 291 HER2-amplified breast cancer patients.
- Utilized immunohistochemistry and fluorescence in situ hybridization for confirmation.
- Receiver operating characteristic (ROC) curve analyses to identify optimal cutoff points.
- Kaplan-Meier survival analysis to assess disease-free survival (DFS).
Main Results:
- Optimal cutoff points were identified as HER2 GCN of 11.5 and HER2/CEP17 ratio of 6.5.
- Patients with lower HER2 GCN (<11.5) and HER2/CEP17 ratio (<6.5) showed significantly longer DFS.
- HER2 cluster amplification was associated with worse survival compared to non-cluster amplification (P=0.041).
Conclusions:
- The level of HER2 amplification significantly impacts survival in HER2-positive breast cancer patients undergoing trastuzumab-based chemotherapy.
- Quantitative HER2 GCN and HER2/CEP17 ratio can serve as prognostic indicators.
- Further research with larger cohorts and precise quantitative measurements is needed to establish definitive thresholds.
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