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ZENODO
Article . 2019
License: CC BY
Data sources: ZENODO
Anticancer Research
Article . 2019 . Peer-reviewed
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A Brief Guide to Performing Pharmacological Studies In Vitro: Reflections from the EORTC-PAMM Course “Preclinical and Early-phase Clinical Pharmacology”

Authors: Capula Mjriam; Corno Cristina; Hassouni EI Btissame; Li Petri Giovanna; Aranđelović Sandra; EORTC PAMM Group;

A Brief Guide to Performing Pharmacological Studies In Vitro: Reflections from the EORTC-PAMM Course “Preclinical and Early-phase Clinical Pharmacology”

Abstract

One aim of cell-based in vitro assays is to identify the best drug candidate to develop using the best tumor cell model. This is challenging in every anticancer drug discovery process. Briefly, we summarize the parameters to be taken into account when performing in vitro cell assays, in order to obtain reliable and reproducible results, which was fundamentally discussed by lecturers at the educational course on preclinical and early-phase clinical pharmacology studies, at the 40th Winter Meeting of the Pharmacology and Molecular Mechanisms Group of the European Organization for Research and Treatment of Cancer. Moreover, specific cellular sensitivity tests are described. In addition to monolayer in vitro cell models for the screening of new potential candidate drugs, three-dimensional tumor/cell tissue models are emerging as new pre-clinical tools that more closely reflect the in vivo microenvironment. Therefore, the use of different in vitro models for drug screening can enhance the predictability and reliability of pre-clinical drug-discovery phases and target validation.

Keywords

tumor cells, review, Cell Culture Techniques, Drug Evaluation, Preclinical, anticancer drugs, In vitro, cell-sensitivity assays, Pharmacology, Clinical, Humans, Biological Assay

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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