Looking to the Future
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In the coming years, breast cancer will increasingly be seen and treated as a heterogeneous disease. This will spell the end of large, global neoadjuvant and adjuvant breast cancer treatment studies that approach breast cancer as a homogenous disease entity in favor of smaller studies that focus on treatment of disease subtypes. It is important to realize that to conduct these studies will continue to require screening a large number of patients in order to find the subset that is eligible for a particular study. The era of molecular predictors has already begun. Genomic technologies such as Oncotype DX and other gene signatures help identify subtypes of breast cancers and treatment strategies will increasingly be selected based on these markers. ER-positive highly endocrine sensitive cancers, triple negative disease, and HER2-positive tumors are already considered different disease entities requiring different treatment strategies and clinical trials.
The current first-generation genomic predictors including MammaPrint, Oncotype DX, and several others derive their value from being able to identify a particularly favorable prognostic group among the ER-positive patients and also define another ER-positive group that gains the most benefit from adjuvant chemotherapy. The current proposed chemotherapy response predictors predict chemoresponsiveness in a broad sense and their regimen specificity, if any, is unproven. Unfortunately almost all ER-negative patients are called high risk by MammaPrint or Oncotype DX despite their variable clinical course. Nevertheless, these assays represent a small but important improvement over older clinical variable–based risk prediction methods. When the clinical variable–based and genomic risk predictions are discordant (approximately 30% of all cases), the genomic predictors seem to be more accurate. This is probably due to their ability to better characterize patients with intermediate clinical risk features, in particular those with intermediate histological grade. Equally importantly, they provide an easily interpretable risk score that represents the combined information from multiple variables. This is an important advance over simply listing quantitative ER, PR, HER2, Ki67, and other marker results as it used to be presented in traditional pathology reports.
The available tests already provide us with the opportunity to start to individualize treatment strategies. In the near future, clinical trials may routinely select patients according to molecular phenotype. Different research hypotheses and different therapeutic questions may be appropriate for different genomic groups. This will allow us to apply the currently available and the emerging new therapies more judiciously.
For the next generation of genomic tests, it will be important to try to risk stratify ER- and HER2-negative breast cancers. Combining multiple different genomic predictors including determination of ER and HER-2 status into a single assay could greatly enhance the cost-effectiveness of these tests. There is also a lot of interest to test the hypothesis in the clinic that in vitro cell-line derived, drug-specific response predictors can be developed and can predict response in patients.
In addition, as we understand more about the molecular targets that characterize certain subtypes of breast cancer, we will begin to explore the use biologic treatments in concert with chemotherapy to individualize therapy for these breast cancer subtypes.
At the close of the panel session, Dr. Burstein asked each participant to predict how the recent advances in targeted therapy for breast cancer will influence approaches to treatment in the next 5 years. The faculty provided the following insight:
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