Nuanced and granular decision-making for patients with ER-positive/HER2-negative metastatic breast cancer should certainly be informed by clinical trial data and risk/benefit trade-off considerations. Decisions about appropriate therapy may also be finessed by recognizing unique patient attributes such as age; performance status; extent of disease; degree of symptoms; tempo of progression; comorbidities; hepatic, renal, and pulmonary organ function; bone marrow reserve; and the nature of and time since prior adjuvant/neoadjuvant therapy. The results of genomic profiling of metastases, beyond ER, progesterone receptor, and HER2, will likely join these attributes. Although expert guidelines take us so far, I believe that it is inevitable that we will soon leverage computer-assisted physician decision support tools in the oncology clinic to help parse the more difficult therapeutic decisions.[15] Filtered through all of this, the patient’s own unique voice must be heard.
Financial Disclosure:Dr. Seidman is a consultant for Genentech, Novartis, and Pfizer; he is also a speaker for Genentech and Novartis.
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