Four poly(ADP-ribose) polymerase (PARP) inhibitors have now presented phase 3 monotherapy data showing compelling benefit of targeting tumours enriched with DNA damage response (DDR) pathway deficiencies, including BRCA gene mutations. Indirect treatment comparisons using the published clinical data from these late stage trials suggest similar levels of monotherapy efficacy are observed in spite of reported differences in PARP trapping potency. However, there is greater diversity in the observed safety profiles. To try and understand these observations, we have carried out a head-to-head comparison of these four PARP inhibitors (olaparib, niraparib, rucaparib and talazoparib) as well as veliparib, which recently reported phase 3 chemotherapy combination data. In our studies, we included an assessment of molecular mechanism of action that included PAR inhibition, PARP trapping and synthetic lethality in isogenic BRCA mutant and wild type models. In addition, an assessment of selectivity in terms of both inhibition of PARP family members using a novel chemoproteomic approach, as well as secondary (off-target) activities was performed. Finally, effects on human haematopoietic stem cell viability and bio-distribution to bone marrow in the rat were tested and compared. A detailed correlation of our datasets with the observed clinical results, including adverse events, suggests these preclinical experiments provide an excellent predictor of clinical response and could be used to assess emerging as well as novel PARP inhibitors. OlaparibVeliparibRucaparibNiraparibTalazoparibCompanyAZAbbVieClovisTesaroPfizerPhaseApprovedIIIApprovedApprovedIIIPARP1 SPR Kd (µM)0.0010.0070.0010.0130.002PARP2 SPR Kd (µM)0.0010.0140.0230.0430.005PARPs with Proteomic Kd <1 µM1,2,3,4,131,2,3,4,131,2,3,4,10,131,2,131,2,3,4,5a,13, 16Sec. Pharm. #, top hit µM0/855/85 5HT7, 0.513/85 5HT4, 0.517/84 DAT, 0.040/85Monotherapy dose (mg)300 bd (tablet)500 bd600 bd300 od1 od Citation Format: Elisabetta Leo, Jeffrey Johannes, Giuditta Illuzzi, Andrew Zhang, Paul Hemsley, Michal J. Bista, Jonathan P. Orme, Verity A. Talbot, Ana J. Narvaez, Elizabeth Underwood, Andrew Pike, Jenni K. Nikkila, Lucy Riches, Sinbad Sweeney, Frida Gustafsson, Anna Cronin, Piero Ricchiuto, Debora A. Roaquin, Fiona Pachl, Eric Miele, Ruth MacDonald, Glen Hawthorne, Andrew N. Mead, Mark J. O'Connor. A head-to-head comparison of the properties of five clinical PARP inhibitors identifies new insights that can explain both the observed clinical efficacy and safety profiles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-273.
Enhancing the removal of aggregate-prone toxic proteins is a rational therapeutic strategy for a number of neurodegenerative diseases, especially Huntington’s disease and various spinocerebellar ataxias. Ideally, such approaches should preferentially clear the mutant/misfolded species, while having minimal impact on the stability of wild-type/normally-folded proteins. Furthermore, activation of both ubiquitin-proteasome and autophagy-lysosome routes may be advantageous, as this would allow effective clearance of both monomeric and oligomeric species, the latter which are inaccessible to the proteasome. Here we find that compounds that activate the D1 ATPase activity of VCP/p97 fulfill these requirements. Such effects are seen with small molecule VCP activators like SMER28, which activate autophagosome biogenesis by enhancing interactions of PI3K complex components to increase PI(3)P production, and also accelerate VCP-dependent proteasomal clearance of such substrates. Thus, this mode of VCP activation may be a very attractive target for many neurodegenerative diseases.
Cyclin-dependent-kinases (CDKs) are members of the serine/threonine kinase family and are highly regulated by cyclins, a family of regulatory subunits that bind to CDKs. CDK9 represents one of the most studied examples of these transcriptional CDKs. CDK9 forms a heterodimeric complex with its regulatory subunit cyclins T1, T2 and K to form the positive transcription elongation factor b (P-TEFb). This complex regulates transcription via the phosphorylation of RNA polymerase II (RNAPolII) on Ser-2, facilitating promoter clearance and transcription elongation and thus remains an attractive therapeutic target. Herein, we have utilized classical affinity purification chemical proteomics, kinobeads assay, compressed CEllular Thermal Shift Assay (CETSA)-MS and Limited Proteolysis (LiP) to study the selectivity, target engagement and downstream mechanistic insights of a CDK9 tool compound. The above experiments highlight the value of quantitative mass spectrometry approaches to drug discovery, specifically proteome wide target identification and selectivity profiling. The approaches utilized in this study unanimously indicated that the CDK family of kinases are the main target of the compound of interest, with CDK9, showing the highest target affinity with remarkable consistency across approaches. We aim to provide guidance to the scientific community on the available chemical biology/proteomic tools to study advanced lead molecules and to highlight pros and cons of each technology while describing our findings in the context of the CDKs biology.
Background. Mass Spectrometry (MS) based chemoproteomics has recently become a main tool to identify and quantify cellular target protein interactions with ligands/drugs in drug discovery. The complexity associated with these new types of data requires scientists with a limited computational background to perform systematic data quality controls as well as to visualize the results derived from the analysis to enable rapid decision making. To date, there are no readily accessible platforms specifically designed for chemoproteomics data analysis. Results. We developed a Shiny-based web application named DOSCHEDA (Down Stream Chemoproteomics Data Analysis) to assess the quality of chemoproteomics experiments, to filter peptide intensities based on linear correlations between replicates, and to perform statistical analysis based on the experimental design. In order to increase its accessibility, DOSCHEDA is designed to be used with minimal user input and it does not require programming knowledge. Typical inputs can be protein fold changes or peptide intensities obtained from Proteome Discover, MaxQuant or other similar software. DOSCHEDA aggregates results from bioinformatics analyses performed on the input dataset into a dynamic interface, it encompasses interactive graphics and enables customized output reports. Conclusions. DOSCHEDA is implemented entirely in R language. It can be launched by any system with R installed, including Windows, Mac OS and Linux distributions. DOSCHEDA is hosted on a shiny-server at https://doscheda.shinyapps.io/doscheda and is also available as a Bioconductor package (http://www.bioconductor.org/).
In an effort to map the selectivity and understand the mode of action of a CDK9 inhibitor (compound 1), we employed several orthogonal proteomics methods. Our results show a clear selectivity against the CDK family of kinases, with the highest specific affinity towards CDK9. In addition, our multi-method approach allows us to also map the protein binding sites of the inhibitor, identify non-kinase (off-) targets as well as detect the cellular molecular responses to the added inhibitor. Here we describe the methods used, their strengths and weaknesses, how they can be used in the drug discovery pipeline and how they synergize to provide mechanistic insights of compounds of interest. We have used chemoproteomics, kinase affinity tools (kinobeads), Cellular Thermal Shift Assay (CETSA) and Limited Proteolysis (LiP). The results obtained clearly show that CDK9 is the primary target of Compound 1, with affinity curves highly correlated between the different target deconvolution techniques. The chemoproteomic approach rely on a compound derivate, able to bind to a sepharose bead. Subsequently, the binding competition assays are performed on lysed cell material. The choice of a mild lysis buffer allowed us to identify, not only CDK9, but also it’s molecular partners in the p-Tefb complex (Cyclin T1, Cyclin T2 and Aff4) with similar concentration response behavior. The results for the kinases identified in the study were strikingly similar when also profiling the compound without the chemical modification using the kinobeads assay. In the CETSA experiments, where both lysed cells and intact cells were profiled, the lysate experiment most closely resembles that of the previous pull-downs. Here, only direct binders of Compound 1 show a thermal shift, for example several of the pulled down kinases but not the p-Tefb complex partners that were co-competed previously. In the intact cell version of CETSA, not only the direct binders of the compound show stability shifts, but also downstream events and other secondary modulatory effects leave thermal traces in the cell. For example, Compound 1 also binds to GSK3A/B, causing their melting temperature to increase. Inhibition of GSK3 further affects the phosphorylation state and cellular location of FOXK1, which in turn is identified as a destabilized protein. Finally, Limited Proteolysis was used to identify target protein and using the LiP-Quant approach their LiP scores were assigned. Further, out of the identified CDK targets, mapping of peptide cleavage pattern was performed for the members of the CDK family for which structural data is published. The result identified the peptides to be directly adjacent to the ATP binding pocket of CDK9 or regions of high homology. The use of complementary techniques, based on unique biological and biochemical processes, allow robust and confident characterization of inhibitor compounds. Citation Format: Adam Hendricks, Nigel Beaton, Alexey Chernobrovkin, Eric Miele, Ghaith Hamza, Piero Ricchiuto, Ronald Tomlinson, Tomas Friman, Cassandra Borenstein, Bernard Barlaam, Sudhir Hande, Chris De Savi, Rick Davies, Martin Main, Joakim Hellner, Kristina Beeler, Yuehan Feng, Roland Bruderer, Lukas Reiter, Daniel Martinez Molina, Maria Paola Castaldi. Target identification, selectivity profiling and mechanistic insights of a Cdk9 inhibitor using complementary proteomics methods [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2924.
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