Milan Radovich, PhD, on ctDNA After Neoadjuvant Chemotherapy and Recurrence in Triple-Negative Breast Cancer
2019 San Antonio Breast Cancer Symposium
Milan Radovich, PhD, of Indiana University School of Medicine, discusses trial findings that show patients with triple-negative breast cancer who are at high risk of relapse after receiving preoperative chemotherapy can be risk-stratified based on the presence of minimal residual disease as determined by circulating tumor DNA and circulating tumor cells (Abstract GS5-02).
Hope S. Rugo, MD, of the University of California San Francisco Comprehensive Cancer Center, discusses trial data on margetuximab plus chemotherapy, which improved progression-free survival in patients with previously treated HER2-positive metastatic breast cancer when compared with trastuzumab plus chemotherapy. Maturing data comparing overall survival also provides new insights (Abstract GS1-02).
Joerg Heil, MD, PhD, of the University Hospital Heidelberg, discusses findings on how accurately this technique can diagnose residual disease and pathologic complete response after neoadjuvant chemotherapy in patients with breast cancer. These data may help tailor, de-escalate, and potentially avoid unnecessary surgeries (Abstract GS5-03).
Joseph Sparano, MD, of the Montefiore Medical Center, discusses three challenges:
- How can gene-expression profiles and other diagnostic tests be used to guide the use of adjuvant systemic therapy?
- Is it time to reappraise active surveillance?
- Are there diagnostic and therapeutic strategies that can identify tumors at highest risk of metastasis, and novel therapies that can block the spread of disease?
Luca Gianni, MD, of the Fondazione Michelangelo, discusses findings from the NeoTRIP trial on pathologic complete response to neoadjuvant treatment with or without atezolizumab in triple-negative, early high-risk, and locally advanced breast cancer (Abstract GS3-04).
Belinda Kingston, MB ChB, of the Institute of Cancer Research London, discusses next-generation sequencing results from the plasmaMATCH trial, including the incidence of gene alterations overall, as well as the associations with clinical and pathologic features that may help direct treatment decisions (Abstract GS3-07).
