A Competitive Co-cultivation Assay for Cancer Drug Specificity Evaluation

The identification of compounds that specifically inhibit or kill cancer cells without affecting cells from healthy tissues is very challenging but very important for reducing the side effects of current cancer therapies. Hence, there is an urgent need for improved assays allowing the selectivity of a given compound to be monitored directly. The authors present an assay system based on the competitive co-cultivation of an excess of cancer cells with a small fraction of noncancer human indicator cells generating a fluorescence signal. In the absence of a specific anticancer compound, the cancer cells outgrow the indicator cells and abolish the fluorescence signal. In contrast, the presence of specific anticancer drugs (such as Tyrphostin-AG1478 or PLX4720) results in the selective growth of the indicator cells, giving rise to a strong fluorescence signal. Furthermore, the authors show that the nonspecific cytotoxic compound sodium azide kills both cancer and noncancer cells, and no fluorescence signal is obtained. Hence, this assay system favors the selection of compounds that specifically target cancer cells and decreases the probability of selecting nonspecific cytotoxic molecules. Z factors of up to 0.85 were obtained, indicating an excellent assay that can be used for high-throughput screening.

Screening-based approach to discover effective platinum-based chemotherapies for cancers with poor prognosis

Damiano Banfi, Paul Joseph Dyson, Fabien Kuttler, Gerardo Turcatti, Hristo Plamenov Varbanov

Drug combinations are extensively used to treat cancer and are often selected according to complementary mechanisms. Here, we describe a cell-based high-throughput screening assay for identification of synergistic combinations between broadly applied platinum-based chemotherapeutics and drugs from a library composed of 1280 chemically and pharmacologically diverse (mostly FDA approved) compounds. The assay was performed on chemoresistant cell lines derived from lung (A549) and pancreatic (PANC-1) carcinoma, where platinum-based combination regimens are currently applied though with limited success. The synergistic combinations identified during the screening were validated by synergy quantification using the combination index method and via high content fluorescent microscopy analysis. New promising synergistic combinations discovered using this approach include compounds currently not used as anticancer drugs, such as cisplatin or carboplatin with hycanthone and cisplatin with spironolactone in pancreatic carcinoma, and carboplatin and deferoxamine in non-small cell lung cancer. Strong synergy between cisplatin or carboplatin and topotecan in PANC-1 cells, compared to A549 cells, suggests that this combination, currently used in lung cancer treatment regimens, could be applied to pancreatic carcinoma as well. Several drugs used to treat diseases other than cancer, including pyrvinium pamoate, auranofin, terfenadine and haloprogin, showed strong cytotoxicity on their own and synergistic interactions with platinum drugs. This study demonstrates that non-obvious drug combinations that would not be selected based on complementary mechanisms can be identified via high-throughput screening.

2019

Design and validation of bioorthogonal probes for cellular disease models

Well-validated chemical probes enable testing of biological hypotheses, investigation of target tractability and translatability to the clinical phase. Consequently, these important tool compounds play a key role in the drug discovery process. Moreover, their use for target validation may ultimately help to decrease the attrition rate encountered by new molecular entities in clinical trials. Despite the number of publications describing well-validated chemical probes, for several reasons, it remains a difficult challenge to identify and select the appropriate high quality molecule enabling the desired biological and pharmacological studies in the relevant disease model. Various reports describe sets of principles to be fulfilled by high quality chemical probes, which mainly rely on verifying that chemical probes are potent, engage their intended targets in the relevant cellular model, have sufficient exposure at the desired site of action and express functional pharmacological activities by a selective modulation of their targets. Classical chemical probes include LMW ligands, which inform on the functional consequences of interacting with a particular bio-logical target in a model system. To get information on other parameters (such as sub-cellular distribution of target or compound) different tools may need to be used, often requiring specific chemical functionalization in order to observe the molecule using the currently available technologies. Compared to classical chemical probes, bioorthogonal probes can also be small molecules that elicit a functional response but with the additional advantage of being able to undergo reaction with a variety of chemical reporters (e.g. fluorophores) in situ, in bio-logical model systems such as cells and animals. Therefore, this increases their versatility; for example their visualization using imaging technologies (bioluminescence and fluorescence imaging) can provide important insights on compound permeability, in-tracellular distribution, and potentially co-localization with its protein target in relevant cellular disease models. Hence, the use of a bespoke bioorthogonal probe may answer key biological questions, which are usually only addressed by using multiple classical probes. Herein, we describe the design and the synthesis of bioorthogonal probes to study the inhibition of the p53-Mdm2 protein-protein interaction. Furthermore, we report the development of a set of assays based on fluorescence and bioluminescence techniques enabling the validation of these molecules in a cellular osteosarcoma model. Our approach for chemical probe design and validation in cellular disease models may be applied in principle to a wide range of novel drug discovery projects to provide early mechanistic understanding.

EPFL2019

Design and validation of bioorthogonal probes for cellular disease models

EPFL2019