Rational design of chimeric antigen receptor T cells against glypican 3 decouples toxicity from therapeutic efficacy.

Background: Chimeric antigen receptor (CAR) T cell therapy has yielded impressive clinical results in hematological malignancies and is a promising approach for solid tumor treatment. However, toxicity, including cytokine-release syndrome (CRS) and neurotoxicity, is a concern hampering its broader use.

Methods: In selecting a lead CAR-T candidate against the oncofetal antigen glypican 3 (GPC3), we compared CARs bearing a low- and high-affinity single-chain variable fragment (scFv) binding to a similar epitope and cross-reactive with murine GPC3.

Synthesis and evaluation of pyrrolobenzodiazepine dimer antibody-drug conjugates with dual β-glucuronide and dipeptide triggers.

Antibody-drug conjugates (ADCs) containing pyrrolobenzodiazepine (PBD) dimers are currently being evaluated in human oncology clinical trials with encouraging results. To further improve the therapeutic window, next-generation PBD drug-linker design has focused on the inclusion of additional tumor-selective triggers and use of lower-potency PBDs. β-Glucuronidase is a well-known target for discovery prodrugs due to increased presence in tumor cells and microenvironment.

Selective activation of anti-CD73 mechanisms in control of primary tumors and metastases.

The emerging role for CD73 in driving cancer growth and metastasis has presented opportunities to develop anti-CD73 monoclonal antibodies (mAbs) in the treatment of human cancers. Blockade of CD73 by antagonistic CD73 mAbs ameliorates tumor growth and metastasis via the inhibition of enzymatic and non-enzymatic CD73 pathways. In this study, we investigated whether Fc-receptor cross-linking represented a non-redundant mechanism by which anti-CD73 mAbs exert potent suppression of solid tumors and metastases.

Guiding bispecific monovalent antibody formation through proteolysis of IgG1 single-chain.

We developed an IgG1 domain-tethering approach to guide the correct assembly of 2 light and 2 heavy chains, derived from 2 different antibodies, to form bispecific monovalent antibodies in IgG1 format. We show here that assembling 2 different light and heavy chains by sequentially connecting them with protease-cleavable polypeptide linkers results in the generation of monovalent bispecific antibodies that have IgG1 sequence, structure and functional properties. This approach was used to generate a bispecific monovalent antibody targeting the epidermal growth factor receptor and the type I insulin-like growth factor receptor that: 1) can be produced and purified using standard IgG1 techniques; 2) exhibits stability and structural features comparable to IgG1; 3) binds both targets simultaneously; and 4) has potent anti-tumor activity.

Co-inhibition of CD73 and A2AR Adenosine Signaling Improves Anti-tumor Immune Responses.

Preclinical studies targeting the adenosinergic pathway have gained much attention for their clinical potential in overcoming tumor-induced immunosuppression. Here, we have identified that co-blockade of the ectonucleotidase that generates adenosine CD73 and the A2A adenosine receptor (A2AR) that mediates adenosine signaling in leuokocytes, by using compound gene-targeted mice or therapeutics that target these molecules, limits tumor initiation, growth, and metastasis. This tumor control requires effector lymphocytes and interferon-γ, while antibodies targeting CD73 promote an optimal therapeutic response in vivo when engaging activating Fc receptors.

Targeting CD73 in the tumor microenvironment with MEDI9447.

MEDI9447 is a human monoclonal antibody that is specific for the ectoenzyme CD73 and currently undergoing Phase I clinical trials. Here we show that MEDI9447 is a potent inhibitor of CD73 ectonucleotidase activity, with wide ranging immune regulatory consequences. MEDI9447 results in relief from adenosine monophosphate (AMP)-mediated lymphocyte suppression in vitro and inhibition of mouse syngeneic tumor growth in vivo.

A New Bliss Independence Model to Analyze Drug Combination Data.

The Bliss independence model is widely used to analyze drug combination data when screening for candidate drug combinations. The method compares the observed combination response (Y(O)) with the predicted combination response (Y(P)), which was obtained based on the assumption that there is no effect from drug-drug interactions. Typically, the combination effect is declared synergistic if Y(O) is greater than Y(P).