An electroaffinity labelling platform for chemoproteomic-based target identification.

Target identification involves deconvoluting the protein target of a pharmacologically active, small-molecule ligand, a process that is critical for early drug discovery yet technically challenging. Photoaffinity labelling strategies have become the benchmark for small-molecule target deconvolution, but covalent protein capture requires the use of high-energy ultraviolet light, which can complicate downstream target identification. Thus, there is a strong demand for alternative technologies that allow for controlled activation of chemical probes to covalently label their protein target. Here we introduce an electroaffinity labelling platform that leverages the use of a small, redox-active diazetidinone functional group to enable chemoproteomic-based target identification of pharmacophores within live cell environments. The underlying discovery to enable this platform is that the diazetidinone can be electrochemically oxidized to reveal a reactive intermediate useful for covalent modification of proteins. This work demonstrates the electrochemical platform to be a functional tool for drug-target identification.

Targeted activation in localized protein environments via deep red photoredox catalysis.

State-of-the-art photoactivation strategies in chemical biology provide spatiotemporal control and visualization of biological processes. However, using high-energy light (λ < 500 nm) for substrate or photocatalyst sensitization can lead to background activation of photoactive small-molecule probes and reduce its efficacy in complex biological environments. Here we describe the development of targeted aryl azide activation via deep red-light (λ = 660 nm) photoredox catalysis and its use in photocatalysed proximity labelling. We demonstrate that aryl azides are converted to triplet nitrenes via a redox-centric mechanism and show that its spatially localized formation requires both red light and a photocatalyst-targeting modality. This technology was applied in different colon cancer cell systems for targeted protein environment labelling of epithelial cell adhesion molecule (EpCAM). We identified a small subset of proteins with previously known and unknown association to EpCAM, including CDH3, a clinically relevant protein that shares high tumour-selective expression with EpCAM.

Proteomic mapping of intercellular synaptic environments via flavin-dependent photoredox catalysis.

Receptor-ligand interactions play essential signaling roles within intercellular contact regions. This is particularly important within the context of the immune synapse where protein communication at the surface of physically interacting T cells and antigen-presenting cells regulate downstream immune signaling responses. To identify protein microenvironments within immunological synapses, we combined a flavin-dependent photocatalytic labeling strategy with quantitative mass spectrometry-based proteomics. Using α-PD-L1 or α-PD-1 single-domain antibody (VHH)-based photocatalyst targeting modalities, we profiled protein microenvironments within the intercellular region of an immune synapse-forming co-culture system. In addition to enrichment of both PD-L1 and PD-1 with either targeting modality, we also observed enrichment of both known immune synapse residing receptor-ligand pairs and surface proteins, as well as previously unknown synapse residing proteins.

Nanoscale Mapping of EGFR and c-MET Protein Environments on Lung Cancer Cell Surfaces via Therapeutic Antibody Photocatalyst Conjugates.

Receptor tyrosine kinases are involved in essential signaling roles that impact cell growth, differentiation, and proliferation. The overexpression or mutation of these proteins can lead to aberrant signaling that has been directly linked to a number of diseases including cancer cell formation and progression. This has led to intense clinical focus on modulating RTK activity through direct targeting of signaling activity or cell types harboring aberrant RTK behavior. In particular, epidermal growth factor receptor (EGFR) has attracted intense clinical attention due to the impact of inhibiting this RTK on tumor growth. However, mutations incurred through targeting EGFR have led to therapeutic resistance that involves not only direct mutations to the EGFR protein but also the involvement of other RTKs, such as c-MET, that can overcome therapeutic-based EGFR inhibition effects. This has, not surprisingly, led to co-targeting strategies of RTKs such as EGFR and c-MET to overcome resistance mechanisms. While the ability to co-target these proteins has led to success in the clinic, a more comprehensive understanding of their proximal environments, particularly in the context of therapeutic modalities, could further enhance both our understanding of their signaling biology and provide additional avenues for targeting these surface proteins. Thus, to investigate EGFR and c-MET protein microenvironments, we utilized our recently developed iridium photocatalyst-based microenvironment mapping technology to catalog EGFR and c-MET surface environments on non-small cell lung cancer cell lines. Through this approach, we enriched EGFR and c-MET from the cell surface and identified known EGFR and c-MET associators as well as previously unidentified proximal proteins.

Reverse Translating Molecular Determinants of Anti-Programmed Death 1 Immunotherapy Response in Mouse Syngeneic Tumor Models.

Targeting the programmed death 1/programmed death ligand 1 (PD-1/PD-L1) pathway with immunotherapy has revolutionized the treatment of many cancers. Somatic tumor mutational burden (TMB) and T-cell-inflamed gene expression profile (GEP) are clinically validated pan-tumor genomic biomarkers that can predict responsiveness to anti-PD-1/PD-L1 monotherapy in many tumor types. We analyzed the association between these biomarkers and the efficacy of PD-1 inhibitor in 11 commonly used preclinical syngeneic tumor mouse models using murinized rat anti-mouse PD-1 DX400 antibody muDX400, a surrogate for pembrolizumab. Response to muDX400 treatment was broadly classified into three categories: highly responsive, partially responsive, and intrinsically resistant to therapy. Molecular and cellular profiling validated differences in immune cell infiltration and activation in the tumor microenvironment of muDX400-responsive tumors. Baseline and on-treatment genomic analysis showed an association between TMB, murine T-cell-inflamed gene expression profile (murine-GEP), and response to muDX400 treatment. We extended our analysis to investigate a canonical set of cancer and immune biology-related gene signatures, including signatures of angiogenesis, myeloid-derived suppressor cells, and stromal/epithelial-to-mesenchymal transition/TGFß biology previously shown to be inversely associated with the clinical efficacy of immune checkpoint blockade. Finally, we evaluated the association between murine-GEP and preclinical efficacy with standard-of-care chemotherapy or antiangiogenic agents that previously demonstrated promising clinical activity, in combination with muDX400. Our profiling studies begin to elucidate the underlying biological mechanisms of response and resistance to PD-1/PD-L1 blockade represented by these models, thereby providing insight into which models are most appropriate for the evaluation of orthogonal combination strategies.

Toward developing a metastatic breast cancer treatment strategy that incorporates history of response to previous treatments.

BACKGROUND: Information regarding response to past treatments may provide clues concerning the classes of drugs most or least likely to work for a particular metastatic or neoadjuvant early stage breast cancer patient. However, currently there is no systematized knowledge base that would support clinical treatment decision-making that takes response history into account. METHODS: To model history-dependent response data we leveraged a published in vitro breast cancer viability dataset (84 cell lines, 90 therapeutic compounds) to calculate the odds ratios (log (OR)) of responding to each drug given knowledge of (intrinsic/prior) response to all other agents. This OR matrix assumes (1) response is based on intrinsic rather than acquired characteristics, and (2) intrinsic sensitivity remains unchanged at the time of the next decision point. Fisher's exact test is used to identify predictive pairs and groups of agents (BH p < 0.05). Recommendation systems are used to make further drug recommendations based on past 'history' of response. RESULTS: Of the 90 compounds, 57 have sensitivity profiles significantly associated with those of at least one other agent, mostly targeted drugs. Nearly all associations are positive, with (intrinsic/prior) sensitivity to one agent predicting sensitivity to others in the same or a related class (OR > 1). In vitro conditional response patterns clustered compounds into five predictive classes: (1) DNA damaging agents, (2) Aurora A kinase and cell cycle checkpoint inhibitors; (3) microtubule poisons; (4) HER2/EGFR inhibitors; and (5) PIK3C catalytic subunit inhibitors. The apriori algorithm implementation made further predictions including a directional association between resistance to HER2 inhibition and sensitivity to proteasome inhibitors. CONCLUSIONS: Investigating drug sensitivity conditioned on observed sensitivity or resistance to prior drugs may be pivotal in informing clinicians deciding on the next line of breast cancer treatments for patients who have progressed on their current treatment. This study supports a strategy of treating patients with different agents in the same class where an associated sensitivity was observed, likely after one or more intervening treatments.

Overcoming resistance to single-agent therapy for oncogenic BRAF gene fusions via combinatorial targeting of MAPK and PI3K/mTOR signaling pathways.

Pediatric low-grade gliomas (PLGGs) are frequently associated with activating BRAF gene fusions, such as KIAA1549-BRAF, that aberrantly drive the mitogen activated protein kinase (MAPK) pathway. Although RAF inhibitors (RAFi) have been proven effective in BRAF-V600E mutant tumors, we have previously shown how the KIAA1549-BRAF fusion can be paradoxically activated by RAFi. While newer classes of RAFi, such as PLX8394, have now been shown to inhibit MAPK activation by KIAA1549-BRAF, we sought to identify alternative MAPK pathway targeting strategies using clinically relevant MEK inhibitors (MEKi), along with potential escape mechanisms of acquired resistance to single-agent MAPK pathway therapies. We demonstrate effectiveness of multiple MEKi against diverse BRAF-fusions with novel N-terminal partners, with trametinib being the most potent. However, resistance to MEKi or PLX8394 develops via increased RTK expression causing activation of PI3K/mTOR pathway in BRAF-fusion expressing resistant clones. To circumvent acquired resistance, we show potency of combinatorial targeting with trametinib and everolimus, an mTOR inhibitor (mTORi) against multiple BRAF-fusions. While single-agent mTORi and MEKi PLGG clinical trials are underway, our study provides preclinical rationales for using MEKi and mTORi combinatorial therapy to stave off or prevent emergent drug-resistance in BRAF-fusion driven PLGGs.

Survival advantage combining a BRAF inhibitor and radiation in BRAF V600E-mutant glioma.

Radiation (RT) is critical to the treatment of high-grade gliomas (HGGs) but cures remain elusive. The BRAF mutation V600E is critical to the pathogenesis of 10-20% of pediatric gliomas, and a small proportion of adult HGGs. Here we aim to determine whether PLX4720, a specific BRAF V600E inhibitor, enhances the activity of RT in human HGGs in vitro and in vivo. Patient-derived HGG lines harboring wild-type BRAF or BRAF V600E were assessed in vitro to determine IC50 values, cell cycle arrest, apoptosis and senescence and elucidate mechanisms of combinatorial activity. A BRAF V600E HGG intracranial xenograft mouse model was used to evaluate in vivo combinatorial efficacy of PLX4720+RT. Tumors were harvested for immunohistochemistry to quantify cell cycle arrest and apoptosis. RT+PLX4720 exhibited greater anti-tumor effects than either monotherapy in BRAF V600E but not in BRAF WT lines. In vitro studies showed increased Annexin V and decreased S phase cells in BRAF V600E gliomas treated with PLX4720+RT, but no significant changes in ß-galactosidase levels. In vivo, concurrent and sequential PLX4720+RT each significantly prolonged survival compared to monotherapies, in the BRAF V600E HGG model. Immunohistochemistry of in vivo tumors demonstrated that PLX4720+RT decreased Ki-67 and phospho-MAPK, and increased γH2AX and p21 compared to control mice. BRAF V600E inhibition enhances radiation-induced cytotoxicity in BRAF V600E-mutated HGGs, in vitro and in vivo, effects likely mediated by apoptosis and cell cycle, but not senescence. These studies provide the pre-clinical rationale for clinical trials of concurrent radiotherapy and BRAF V600E inhibitors.

Targeting Wee1 for the treatment of pediatric high-grade gliomas.

BACKGROUND: We investigated the efficacy of the Wee1 inhibitor MK-1775 in combination with radiation for the treatment of pediatric high-grade gliomas (HGGs), including diffuse intrinsic pontine gliomas (DIPGs). METHODS: Gene expression analysis was performed for 38 primary pediatric gliomas (3 grade I, 10 grade II, 11 grade III, 14 grade IV) and 8 normal brain samples using the Agilent 4 × 44 K array. Clonogenic survival assays were carried out in pediatric and adult HGG cell lines (n = 6) to assess radiosensitizing effects of MK-1775. DNA repair capacity was evaluated by measuring protein levels of γ-H2AX, a marker of double strand DNA breaks. In vivo activity of MK-1775 with radiation was assessed in 2 distinct orthotopic engraftment models of pediatric HGG, including 1 derived from a genetically engineered mouse carrying a BRAF(V600E) mutation, and 1 xenograft model in which tumor cells were derived from a patient's DIPG. RESULTS: Wee1 is overexpressed in pediatric HGGs, with increasing expression positively correlated with malignancy (P = .007 for grade III + IV vs I + II) and markedly high expression in DIPG. Combination treatment of MK-1775 and radiation reduced clonogenic survival and increased expression of γ-H2AX to a greater extent than achieved by radiation alone. Finally, combined MK-1775 and radiation conferred greater survival benefit to mice bearing engrafted, orthotopic HGG and DIPG tumors, compared with treatment with radiation alone (BRAF(V600E) model P = .0061 and DIPG brainstem model P = .0163). CONCLUSION: Our results highlight MK-1775 as a promising new therapeutic agent for use in combination with radiation for the treatment of pediatric HGGs, including DIPG.