Searching for Synergy: FAK Inhibition in Metastatic Breast Cancer Treatment

التفاصيل البيبلوغرافية
العنوان: Searching for Synergy: FAK Inhibition in Metastatic Breast Cancer Treatment
المؤلفون: Conway, Brianna
بيانات النشر: Université d'Ottawa / University of Ottawa, 2018.
سنة النشر: 2018
مصطلحات موضوعية: breast cancer, FAK, treatment, ROS, PF-562271, chemotherapy, topoisomerase inhibition, combination therapy, metastatic
الوصف: Breast cancer is the most common cancer among Canadian women and 14-20% will develop lethal metastases within 5 years. A potential novel therapeutic target is Focal Adhesion Kinase (FAK), a cytoplasmic tyrosine kinase. FAK’s expression is inversely correlated with survival and is known to regulate cell migration, proliferation and invasion. While tyrosine kinase inhibitors are historically ineffective as single agents, they are commonly used as part of combination therapies. Therefore, given its central role in tumor cell biology and cell signaling, we hypothesized that inhibiting FAK in combination with pharmacological agents commonly used to treat metastatic breast cancer patients will result in enhanced anti-tumor activity. We combined a commercial FAK inhibitor (PF-562271) with a range of chemotherapeutic agents commonly used to treat metastatic breast cancer and searched for synergistic partners. Only DNA topoisomerase inhibitors showed potential to synergistically reduce cell viability when paired with low doses of the FAK inhibitor. However, the combination does not induce an increase in cell death or apoptosis. It was then discovered that both agents in isolation and in combination produce increased levels of ROS, a toxic metabolite. This, along with other more preliminary data, provides clues for a novel proposed mechanism of action for this interaction.
اللغة: English
DOI: 10.20381/ruor-21576
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::758c7dc47dcb7f3d34d8249dd298cddf
رقم الأكسشن: edsair.doi...........758c7dc47dcb7f3d34d8249dd298cddf
قاعدة البيانات: OpenAIRE