Prior systemic treatment increased the incidence of somatic mutations in metastatic breast cancer
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Published on: December 26, 2016
Takeo Fujii1, Naoko Matsuda1, Miho Kono1
1Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Background:
Understanding the biology of breast cancer is important for guiding treatment strategies and revealing resistance mechanisms. Our objectives were to investigate the relationship between previous systemic therapy exposure and mutational spectrum in metastatic breast cancer and to identify clinicopathological factors associated with identified frequent somatic mutations.
Methods:
Archival tissues of patients with metastatic breast cancer were subjected to hotspot molecular testing by next-generation sequencing. The variables that significantly differed (P < 0.05) in univariate analysis were selected to fit multivariate models. Logistic models were fit to estimate the association between mutation status and clinical variables of interest. Five-fold cross-validation was performed to estimate the prediction error of each model.
Results:
A total of 922 patients were included in the analysis. In multivariate analysis, previous systemic treatment before molecular testing (N = 186) was associated with a significantly higher rate of TP53 and PIK3CA mutations compared with the lack of systemic treatment (P < 0.001 for both).
Conclusion:
Systemic treatment exposure is an independent risk factor for high rates of TP53 and PIK3CA mutation, which suggests the importance of testing samples after systemic therapy to accurately assess mutations. It is worth testing the gene profile when tumours become resistant to systemic treatments.
Insights
Previous systemic therapy increases TP53 and PIK3CA mutations in metastatic breast cancer. Testing gene profiles after treatment is crucial for understanding tumor resistance and guiding therapy.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Understanding breast cancer biology is key for effective treatment strategies and identifying resistance mechanisms.
- Investigating the link between prior systemic therapy and the mutational landscape in metastatic breast cancer is critical.
- Identifying clinicopathological factors associated with common somatic mutations provides valuable insights.
Purpose of the Study:
- To explore the association between previous systemic therapy exposure and the mutational spectrum in metastatic breast cancer.
- To identify clinicopathological factors linked to frequent somatic mutations in breast cancer.
- To understand how systemic treatments influence the genetic profile of metastatic breast cancer.
Main Methods:
- Next-generation sequencing was used for hotspot molecular testing on archival tissues from metastatic breast cancer patients.
- Multivariate logistic models were employed to assess the relationship between mutation status and clinical variables.
- Variables showing significant differences in univariate analysis (P < 0.05) were included in multivariate models.
Main Results:
- Analysis included 922 patients with metastatic breast cancer.
- Previous systemic treatment was associated with significantly higher rates of TP53 and PIK3CA mutations (P < 0.001).
- This association was observed in multivariate analysis comparing patients with and without prior systemic treatment.
Conclusions:
- Systemic treatment exposure is an independent risk factor for elevated TP53 and PIK3CA mutation rates.
- Testing tumor samples after systemic therapy is important for accurate mutation assessment.
- Analyzing gene profiles in treatment-resistant tumors can reveal mechanisms of resistance.
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