Abstract
Lung cancer is one of the leading causes of cancer mortality worldwide. Despite of remarkable progress made in the lung cancer therapy, an unmet need is there in tailoring the appropriate patient specific therapy due to a variety of treatment options. Our aim was to develop a high-throughput drug screening method of tumor ex-vivo analysis (TEVA) which can predict patient-specific drug response and thus can be used for personalized cancer treatment.
Original language | English |
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Pages (from-to) | S595 |
Journal | Journal of Thoracic Oncology |
Volume | 13 |
Issue number | 10 |
DOIs | |
State | Published - 2018 |