RESUMO
Targeted covalent inhibitors (TCIs) are an emerging class of anticancer therapeutics. TCIs are designed to selectively engage their targeted proteins via covalent warheads. From the drug development standpoint, the covalent inhibition mechanism is anticipated to elicit the following theoretical benefits: (i) an extended duration of therapeutic action that is determined by the target protein turnover rate and not necessarily by drug half-life, (ii) a lower therapeutic dose owing to greater pharmacological potency, (iii) lower risk of off-target binding and associated adverse events, and (iv) reduced drug-drug interaction (DDI) liability due to high selectivity and low dose. Elucidating the clinical relevance of these expected benefits requires an integrated assessment of pharmacokinetics (PK), efficacy, safety, and DDI data. In this review, we compared the clinical pharmacology attributes of FDA-approved oncology TCIs within the last 10 years against their reversible inhibitor (RI) counterparts. Our findings indicated that (i) PK half-lives of TCIs were typically shorter and (ii) at their respective recommended clinical doses per drug label, the molar unbound steady state areas under the concentration-time curve (AUCss) of TCIs were lower than those of RIs, but with longer clinically observed durations of response. However, (iii) there was no conclusive evidence supporting improved clinical safety profiles for TCIs, and (iv) DDI perpetrator profiles appeared to be similar between TCIs and RIs. The overall clinical pharmacology comparison of TCI vs. RI surveyed in this paper suggested that at least two of the four forecasted clinical benefits were achieved by TCIs.
RESUMO
BACKGROUND: Therapies for relapsed/refractory acute myeloid leukemia remain limited and outcomes poor, especially amongst patients who are ineligible for cytotoxic chemotherapy or targeted therapies. PATIENTS AND METHODS: This phase 1b trial evaluated venetoclax, a B-cell lymphoma-2 (BCL-2) inhibitor, plus cobimetinib, a MEK1/2 inhibitor, in patients with relapsed/refractory acute myeloid leukemia, ineligible for cytotoxic chemotherapy. Two-dimensional dose-escalation was performed for venetoclax dosed daily, and for cobimetinib dosed on days 1-21 of each 28-day cycle. RESULTS: Thirty patients (median [range] age: 71.5 years [60-84]) received venetoclax-cobimetinib. The most common adverse events (AEs; in ≥40.0% of patients) were diarrhea (80.0%), nausea (60.0%), vomiting (40.0%), febrile neutropenia (40.0%), and fatigue (40.0%). Overall, 66.7% and 23.3% of patients experienced AEs leading to dose modification/interruption or treatment withdrawal, respectively. The composite complete remission (CRc) rate (complete remission [CR]â¯+â¯CR with incomplete blood count recoveryâ¯+â¯CR with incomplete platelet recovery) was 15.6%; antileukemic response rate (CRcâ¯+â¯morphologic leukemia-free state/partial remission) was 18.8%. For the recommended phase 2 dose (venetoclax: 600 mg; cobimetinib: 40 mg), CRc and antileukemic response rates were both 12.5%. Failure to achieve an antileukemic response was associated with elevated baseline phosphorylated ERK and MCL-1 levels, but not BCL-xL. Baseline mutations in ≥1 signaling gene or TP53 were noted in nonresponders and emerged on treatment. Pharmacodynamic biomarkers revealed inconsistent, transient inhibition of the mitogen-activated protein kinase (MAPK) pathway. CONCLUSION: Venetoclax-cobimetinib showed limited preliminary efficacy similar to single-agent venetoclax, but with added toxicity. Our findings will inform future trials of BCL-2/MAPK pathway inhibitor combinations.
Assuntos
Protocolos de Quimioterapia Combinada Antineoplásica , Azetidinas , Compostos Bicíclicos Heterocíclicos com Pontes , Leucemia Mieloide Aguda , Piperidinas , Sulfonamidas , Humanos , Compostos Bicíclicos Heterocíclicos com Pontes/uso terapêutico , Compostos Bicíclicos Heterocíclicos com Pontes/farmacologia , Compostos Bicíclicos Heterocíclicos com Pontes/administração & dosagem , Sulfonamidas/farmacologia , Sulfonamidas/uso terapêutico , Sulfonamidas/administração & dosagem , Idoso , Masculino , Feminino , Pessoa de Meia-Idade , Azetidinas/uso terapêutico , Azetidinas/farmacologia , Azetidinas/administração & dosagem , Piperidinas/uso terapêutico , Piperidinas/farmacologia , Idoso de 80 Anos ou mais , Leucemia Mieloide Aguda/tratamento farmacológico , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Protocolos de Quimioterapia Combinada Antineoplásica/farmacologia , Protocolos de Quimioterapia Combinada Antineoplásica/efeitos adversos , Resultado do Tratamento , Resistencia a Medicamentos Antineoplásicos/efeitos dos fármacosRESUMO
Despite recent progress in adoptive T cell therapy for cancer, understanding and predicting the kinetics of infused T cells remains a challenge. Multiple factors can impact the distribution, expansion, and decay or persistence of infused T cells in patients. We have developed a novel quantitative systems pharmacology (QSP) model of TCR-transgenic T cell therapy in patients with solid tumors to describe the kinetics of endogenous T cells and multiple memory subsets of engineered T cells after infusion. These T cells undergo lymphodepletion, proliferation, trafficking, differentiation, and apoptosis in blood, lymph nodes, tumor site, and other peripheral tissues. Using the model, we generated patient-matched digital twins that recapitulate the circulating T cell kinetics reported from a clinical trial of TCR-engineered T cells targeting E7 in patients with metastatic HPV-associated epithelial cancers. Analyses of key parameters influencing cell kinetics and differences among digital twins identify stem cell-like memory T cells (Tscm) cells as an important determinant of both expansion and persistence and suggest that Tscm-related differences contribute significantly to the observed variability in cellular kinetics among patients. We simulated in silico clinical trials using digital twins and predict that Tscm enrichment in the infused product improves persistence of the engineered T cells and could enable administration of a lower dose. Finally, we verified the broader relevance of the QSP model, the digital twins, and findings on the importance of Tscm enrichment by predicting kinetics for two patients with pancreatic cancer treated with KRAS G12D targeting T cell therapy. This work offers insight into the key role of Tscm biology on T cell kinetics and provides a quantitative framework to evaluate cellular kinetics for future efforts in the development and clinical application of TCR-engineered T cell therapies.