2536 Background: Tyrosine Kinase Inhibitors (TKIs) can interact with drug transport proteins. P-gp is a transporter with two important roles in cancer drug therapy. If overexpressed in tumour cells it can cause drug resistance. However, P-gp, expressed in tissues as part of normal drug clearance mechanisms, is also involved in termination of drug action. Hence, TKI-mediated interactions with P-gp have significant therapeutic consequences. Methods: P-gp over-expressing cancer cell lines were used to determine the inhibitor or substrate status of tyrosine kinase inhibitors (erlotinib, gefitinib, lapatinib, dasatinb, neratinib, afatinib and pazopanib). Cell proliferation assays in combination with a potent P-gp inhibitor, or P-gp substrate were also employed. Findings were augmented using LC-MS-based quantitation of cellular levels of target drugs. Results: We summarise our findings of four distinct interactions with P-gp among various TKIs. Some agents have little interaction at conventional doses; others can act as P-gp inhibitors without being substrates; substrates without being inhibitors or substrates which also prevent the actions of the transporter.Eachof the investigated TKIs has a distinct relationship with P-gp. As examples, lapatinib is an inhibitor but not a substrate, dasatinib is a substrate but not an inhibitor, while pazopanib has little interaction with P-gp. Other agents also have an effect on or are affected by P-gp to varying amounts with some of these interactions likely to be suprapharmacological. Conclusions: P-gp protein has important roles both in resistance and drug toxicology, hence, a clear understanding of the interaction of emerging drugs with this transporter is vital. Agents which are inhibitors of P-gp may have applications in drug resistance circumvention but may also greatly exacerbate the toxicity of concurrently administered P-gp substrate cytotoxics; conversely the activity of P-gp substrate TKIs may be reduced by tumour overexpression of the transporter. Hence in vitro screening of TKI-transporter interactions may identify putative TKI resistance mechanisms, help guide the development of combination schedule trials and/or reducing unwanted treatment side effects.