Advanced therapy approach
Development of different targeted nanoliposomes encapsulating anti-tumour agents to apply in cancer animal models.
Nanosize drug delivery systems are overcoming the delivery limitations of many agents at the specific tissues. The versatility of the targeting (including active and passive) is provided by attaching at the nanosystem surface different types of ligands able to recognise antigens or receptors specifically expressed or up-regulated in tumour cells. Additionally, these nanocarriers present a controlled release property to achieve an increase therapeutic efficacy and reduce side effects.
In vivo evaluation of immune-modulator agents (mAbs, vaccines and peptides).
The stimulation of an antitumor immune response applying biomolecules is one of the most relevant aim pursued by many researchers, in the last decades. Immune checkpoints represent one of the mechanisms used by the tumours for the evasion of this immune system. The blockade of these immune checkpoints using specific monoclonal antibodies has demonstrated clinical benefit in several types of cancers (melanoma, squamous non-small cell lung cancer, bladder cancer…). The characterisation of several biomarkers involved in these mechanisms might throw some light on the possible combination of therapies to attain the desired effect. In that sense, other strategies such as vaccines or certain peptides are being used to seek the immune system stimulation.
Application of in vitro/ in vivo platform to develop PKPD mechanistic models.
Preclinical models are the previous requirement to develop a therapeutic agent. The first step to characterise in a quantitative way the pharmacokinetics and pharmacodynamics relationship for a specific agent is totally necessary to use animal models. These studies provide relevant insight about the agent behaviour at the organ level, which combined with the culture cell experiments explain in detail some processes that take place at intra- and cellular level. Therefore, all of these data provide us with essential information for the development of mechanistic-based models able to describe and predict those responses induced by the treatment.