Recently developed potent and selective CDK4/6 inhibitors fall into two classes based on structure and toxicity profiles in clinical studies. One class, exemplified by palbociclib and ribociclib, exhibits neutropenia as a dose-limiting toxicity and requires discontinuous dosing. In contrast, the structurally distinct CDK4/6 inhibitor abemaciclib is dosed continuously, and has diarrhea and fatigue as dose-limiting toxicities. In preclinical models, palbociclib has been extensively studied and induces cell cycle inhibition in an RB-dependent manner. Thus far, abemaciclib has been less extensively evaluated. We found that abemaciclib cell cycle inhibitory activity is RB-dependent at clinically achievable concentrations. Abemaciclib elicited potent suppression of RB/E2F regulated genes associated with prognosis in ER-positive breast cancer. However, unlike palbociclib, at 250nM-1 mu M doses abemaciclib induced cell death in RB-deficient cell lines. This response was associated with a rapidlyinduced multi-vacuolar phenotype indicative of lysosomal membrane permeabilization that could be ameliorated with chloroquine. This event was not a reflection of inhibition of other CDK family members, but could be recapitulated with CBX4945 that inhibits casein and DYRK/HIPK kinases. To determine if these "off-target" features of abemaciclib were observed in vivo, mice harboring matched RB-positive and negative xenografts were treated with palbociclib and abemaciclib. In vivo, all of the apparent activity of abemaciclib was RB-dependent and strongly elicited suppression of cell cycle regulatory genes in a fashion markedly similar to palbociclib. Using gene expression data from cell lines and tumors treated with abemaciclib and palbociclib a composite signature of response to CDK4/6 inhibition was developed that included many genes that are individually required for tumor cell proliferation or viability. These data indicate that while abemaciclib and palbociclib can exert distinct biological and molecular effects, there are common gene expression features that could be broadly utilized in measuring the response to CDK4/6 inhibition.

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Brain metastases (BMs) present a formidable obstacle across various primary cancer types, notably small cell lung cancer (SCLC), non-small cell lung cancer (NSCLC), melanomas, and breast cancers. In this investigation, we aim to evaluate the potential of genotype-guided targeted therapy while addressing the challenges of co-existing genomic alterations frequently encountered in BMs. This research explores the efficacy of adagrasib (MRTX849), a KRAS G12C inhibitor, and abemaciclib, a CDK 4/6 inhibitor, both individually and in combination against BMs originating from NSCLC cell lines harboring KRAS G12C and CDKN2A mutations. Utilizing a diverse array of methodologies encompassing cell viability assays, cell death assays, western blot analyses, and in vivo xenograft models, we elucidate both the therapeutic potential and underlying mechanisms. Distinct responses to adagrasib and abemaciclib monotherapies were observed across two different cell lines, underscoring the necessity for tailored treatment strategies. While adagrasib exhibited variable efficacy, abemaciclib consistently inhibited CDK 4/6 activity. Notably, the combination therapy demonstrated synergistic effects, suggesting a promising approach for enhanced therapeutic outcomes. Our findings from both in vitro assays and western blot analyses corroborate targeted pathway inhibition, although the observed pathway reactivation underscores the importance of optimizing dosing strategies. In vivo studies further support our in vitro findings, demonstrating efficacy but also raising concerns regarding toxicity with combination therapy. Pharmacokinetic / pharmacodynamic (PK/PD) analyses underscore potential advantages of combination therapy in terms of systemic exposure and brain penetration. Despite histological evidence of therapeutic effects, discrepancies between in vivo and in vitro caspase-dependent apoptosis results highlight the complexity of tumor biology and the challenges of translation. By Focusing on personalized treatment approaches and addressing therapeutic hurdles, this work establishes the foundation for clinical investigation in advancing the management of BMs and improving treatment outcomes in NSCLC patients.

<p>Despite advancements in therapies, such as surgery, irradiation (IR) and chemotherapy, outcome for patients suffering from glioblastoma (GBM) remains fatal; the median survival time is only about 15 months. Even with novel therapeutic targets, networks and signaling pathways being discovered, monotherapy with such agents targeting such pathways has been disappointing in clinical trials. Poor prognosis for GBM can be attributed to several factors, including failure of drugs to cross the blood-brain-barrier (BBB), tumor heterogeneity, invasiveness, and angiogenesis. Development of tumor resistance, particularly to temozolomide (TMZ) and IR, creates a substantial clinical challenge.</p><p> </p><p>The primary focus of the work described herein was to develop a modeling and simulation approach that could be applied to rationally develop novel combination therapies and dose regimens that mitigate resistance development. Specifically, TMZ was combined with small molecule inhibitors that are either currently in clinical trials or are approved drugs for other cancer types, and which target the disease at various resistance signaling pathways that are induced in response to TMZ monotherapy. To accomplish this objective, an integrated PKPD modeling approach was used. A PK model for each drug was first defined. PK models were subsequently linked to a PD model description of tumor growth dynamics in the presence of a single drug or combinations of drugs. A key outcome of these combined PKPD models was tumor static concentration (TSC) curves of TMZ in combination with small molecule inhibitors that identify combination drug exposures predicted to arrest tumor growth. This approach was applied to TMZ in combination with abemaciclib (a dual CDK4/6 small molecule inhibitor) based on data from a published study evaluating abemaciclib (ACB) efficacy in combination with TMZ in a U87 GBM xenograft model. TSC was also constructed for TMZ in combination with RG7388 (MDM2 inhibitor) based on the data from an in-vivo study that evaluated effects on tumor growth suppression of these small molecule inhibitors in combination with TMZ in GBM 10 patient derived xenografts.</p><p>In GBM 43 mouse xenografts, emergence of resistance to TMZ treatment was identified. Thus, a resistance integrated PKPD model was developed to predict tumor growth kinetics after treatment with TMZ in GBM 43 tumors. Population PK models in immune deficient NOD.Cg-<em>Prkdc^scid Il2rg^tm1Wjl</em>/SzJ (NSG) mice for TMZ and small molecule inhibitors (GDC0068/RG7112) were developed based on a combination of data obtained from an in-vivo study and published sources. Subsequently, PK models were linked to tumor volume data obtained from GBM 43 subcutaneous xenografts. Model parameters quantifying tumor volume dynamics were precisely estimated (coefficient of variation < 40%) compared to a base tumor growth inhibition model in GBM 43 that did not incorporate resistance development. Graphical diagnostics of the resistance incorporated PKPD tumor growth inhibition model demonstrated a superior fit compared to the base model, and accurately captured the emergence of resistance to the TMZ monotherapy treatment observed in the GBM 43 patient derived xenograft model.</p>