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Antibody-drug conjugates (ADCs) have gained traction in the oncology space in the past few decades, with significant progress being made in recent years. Although the use of pharmacometric modeling is well-established in the drug development process, there is an increasing need for a better quantitative biological understanding of the pharmacokinetic and pharmacodynamic relationships of these complex molecules. Quantitative systems pharmacology (QSP) approaches can assist in this endeavor; recent computational QSP models incorporate ADC-specific mechanisms and use data-driven simulations to predict experimental outcomes. Various modeling approaches and platforms have been developed at the in vitro, in vivo, and clinical scales, and can be further integrated to facilitate preclinical to clinical translation. These new tools can help researchers better understand the nature and mechanisms of these targeted therapies to help achieve a more favorable therapeutic window. This review delves into the world of systems pharmacology modeling of ADCs, discussing various modeling efforts in the field thus far.

Supplementary Data from Efficacy, Tolerability, and Pharmacokinetic Studies of Antibody–Drug Conjugates Containing a Low-Potency Pyrrolobenzodiazepine Dimer

Supplementary Figure S1. Analytical characterization of INT016-ADCs; Supplementary Figure S2. Validation of B7-H4 antibodies for use in IHC; Supplementary Figure S3. Relationship between B7-H4 expression level and heterogeneity in the studied human triple-negative cohort; Supplementary Figure S4. Binding of antibody INT016 to HEK 293 cells stably expressing human, mouse, or cynomolgus monkey B7-H4; Supplementary Figure S5. Binding of antibody INT016 to human breast cancer cell lines and to HT29 cells stably expressing human B7-H4; Supplementary Figure S6. Internalization and lysosomal trafficking of INT016; Supplementary Figure S7. In vitro stability of INT016-ADCs in mouse and cynomolgus monkey serum; Supplementary Figure S8. In vitro cytotoxicity of INT016-ADCs in HT29 and HT29-huB7-H4 isogenic cell lines; Supplementary Figure S9. In vivo efficacy of INT016-ADCs in the MX-1 xenograft model; Supplementary Figure S10. Growth rate analysis of MX-1 in vivo efficacy study comparing INT016-ADCs from days 14–40.

Surface plasmon resonance; In vitro cytotoxicity assays; In vitro proliferation assays; Internalization assays; Subcellular localization microscopy; Immunoblotting; Statistical analysis

Supplementary Table S1. Primary antibodies used for immunoblotting; Supplementary Table S2. Characterization of ADCs evaluated in this study; Supplementary Table S3. B7-H4 expression in human normal tissue; Supplementary Table S4. Binding affinity of anti-B7-H4 antibody INT016 Fab to human, cynomolgus monkey, and mouse B7-H4, measured by surface plasmon resonance.

Purpose:We evaluated the activity of AZD8205, a B7-H4–directed antibody–drug conjugate (ADC) bearing a novel topoisomerase I inhibitor (TOP1i) payload, alone and in combination with the PARP1-selective inhibitor AZD5305, in preclinical models.Experimental Design:IHC and deep-learning–based image analysis algorithms were used to assess prevalence and intratumoral heterogeneity of B7-H4 expression in human tumors. Several TOP1i-ADCs, prepared with Val-Ala or Gly–Gly–Phe–Gly peptide linkers, with or without a PEG8 spacer, were compared in biophysical, in vivo efficacy, and rat toxicology studies. AZD8205 mechanism of action and efficacy studies were conducted in human cancer cell line and patient-derived xenograft (PDX) models.Results:Evaluation of IHC-staining density on a per-cell basis revealed a range of heterogeneous B7-H4 expression across patient tumors. This informed selection of bystander-capable Val-Ala–PEG8–TOP1i payload AZ14170133 and development of AZD8205, which demonstrated improved stability, efficacy, and safety compared with other linker–payload ADCs. In a study of 26 PDX tumors, single administration of 3.5 mg/kg AZD8205 provided a 69% overall response rate, according to modified RECIST criteria, which correlated with homologous recombination repair (HRR) deficiency (HRD) and elevated levels of B7-H4 in HRR-proficient models. Addition of AZD5305 sensitized very low B7-H4–expressing tumors to AZD8205 treatment, independent of HRD status and in models representing clinically relevant mechanisms of PARPi resistance.Conclusions:These data provide evidence for the potential utility of AZD8205 for treatment of B7-H4–expressing tumors and support the rationale for an ongoing phase 1 clinical study (NCT05123482).See related commentary by Pommier and Thomas, p. 991

Adrenal myelolipomas are rare, hormonally silent, adipose and myeloid-containing lesions that are mostly asymptomatic. If they do present it is usually with mass-related flank pain or spontaneous haemorrhage. A 55-year-old female presented with right flank pain after a fall from a static pushbike. Computer tomography identified a large adrenal lesion with surrounding acute retroperitoneal haemorrhage. A conservative approach to treatment was decided on as the patient remained haemodynamically stable. The patient developed a pulmonary embolism during the time of conservative management and therefore had to be anticoagulated with close monitoring. Outpatient surveillance imaging was reassuring, hormonal screening was negative and biopsy confirmed myelolipoma. We report a rare presentation of adrenal myelolipoma with the sequelae of haemorrhage from low-impact trauma and the challenges of conservative management.

Objective: This study aimed to determine the effect of template transperineal (TTP) compared to transrectal (TR) biopsy on surgical and functional outcomes after robotic-assisted radical prostatectomy (RARP). Methods: From 2014 to 2018, 280 patients underwent RARP by a single surgeon. Of these, 184 had TR, and 96 had TTP biopsy. Primary outcomes were continence and erectile function recovery (EFR) rates up to 24 months postoperatively. Secondary outcomes comprised positive margin rates and markers of a difficult operation, including operative time, estimated blood loss (EBL), urethral preservation quality and ability to perform planned nerve-sparing surgery. Results: The median age was greater in the TTP group (64 vs. 62 years, p=0.028). The proportions of men with preoperative erectile dysfunction and men undergoing nerve-sparing surgery were not different between groups. Operative time, EBL, urethral preservation quality, proportion of men undergoing intended nerve-sparing procedure, positive margin rates and continence recovery rates were not different among the groups. At 24 months, men in the TR group had a higher EFR rate on univariate analysis ( p=0.036), and multivariate analysis ( p=0.03). Conclusion: TTP biopsy was not associated with markers of a more difficult RARP or worse oncological and continence recovery outcomes but did appear to impact upon long-term rates of EFR. Level of evidence: Level 4.

The cell-surface glycoprotein B7-H4 is overexpressed in a range of solid tumors including breast cancer, ovarian serous carcinoma, endometrial carcinoma, and cholangiocarcinoma, yet has limited expression in normal tissue, making it an attractive target for an antibody-drug conjugate (ADC). This presentation describes for the first time the development of AZD8205, a B7-H4 targeted ADC incorporating a novel topoisomerase 1 inhibitor (TOP1i) linker-warhead, AZ’0133 which was designed to exploit the full potential of B7-H4 as an ADC target. Initially, we investigated a series of more than 35 TOP1i compounds as warheads and achieved activity in a clinically relevant nM range. We further optimized the conjugation site and chemistry to reduce the potential for aggregation while maintaining potency, overcoming major synthetic challenges to deliver a robust synthetic route amenable to scale-up. Finally, with a series of optimized linker-warheads, we explored the impact of linker-warhead design on ADC hydrophobicity, stability, efficacy, pharmacokinetics and tolerability culminating in the development of AZD8205. The primary mechanism of action of AZD8205 is intracellular delivery of the TOP1i warhead to B7-H4 positive cells, leading to DNA damage and apoptotic cell death. AZD8205 drove bystander killing of target negative cells in mixed cultures in vitro, which is further supported by robust antitumor activity observed in in vivo studies with patient-derived xenograft (PDX) tumors with heterogeneous target expression, representing multiple tumor indications. In a study of 26 human TNBC PDX tumors, a single IV administration of 3.5 mg/kg AZD8205 provided an overall response rate of 69% (tumor regression of 30% or greater from baseline) and complete responses observed in 9/26 (36%) of models. To understand the biology underlying antitumor response, we conducted a multiparametric analysis including genomics, proteomics and computational pathology and found that deeper antitumor activity was observed in models with elevated B7-H4 expression as well as in models with defects in DNA damage repair (DDR). To further exploit the DNA damage elicited by the TOP1i warhead, we examined combinations of AZD8205 with small molecules, including a novel PARP1 selective inhibitor, in a BRCA wild type MDA-MB-468 model. These data suggest that AZD8205 is a promising therapeutic candidate for the treatment of B7-H4 positive solid tumors. A first in human phase 1 study in patients with advanced solid tumors is currently ongoing (NCT05123482). Citation Format: Krista Kinneer, Niall J. Dickinson, Luke Masterson, Thais Cailleau, Ian Hutchinson, Balakumar Vijayakrishnan, Nazzareno Dimasi, R. James Christie, Mary McFarlane, Kathryn Ball, Arthur Lewis, Sofia Koch, Lee Brown, Yue Huang, Anton I. Rosenbaum, Jiaqi Yuan, Si Mou, Noel R. Monks, Jon Chesebrough, Ravinder Tammali, Judith Anderton, Darrin Sabol, Frances Anne Tosto, Philipp Wortmann, Zachary A. Cooper, Pauline Ryan, John Hood, Carlos Fernandez Teruel, Carlos Serra Traynor, Andy Pike, Michael Davies, Elisabetta Leo, Kimberly Cook, Nadia Luheshi, Philip W. Howard, Puja Sapra. Discovery and first disclosure of AZD8205, a B7-H4-targeted antibody-drug conjugate utilizing a novel topoisomerase I linker-warhead [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 1765.

Objective: To determine if a precise 5-point nerve-spare (NS) scoring system at the time of robot-assisted radical prostatectomy (RARP) correlates with post-operative erectile function recovery (EFR). Patients and methods: From 2014 to 2018, 277 patients underwent RARP by a single surgeon. NS quality was recorded as: grade 1, non-NS; grade 2, Results: At 24 months, EFR defined as Sexual Health Inventory for Men (SHIM) score ⩾17 was 75%, 55%, 41%, 23%, 12% and 0% for groups 1–6, respectively ( p = 0.001). EFR defined as spontaneous erection sufficient for intercourse with or without PDE5i was 60%, 58%, 40%, 33%, 0% and 11% for groups 1–6, respectively ( p < 0.001). Conclusion: A precise anatomic NS scoring system at RARP allows good prognostication of EFR, which may inform patient counselling and erectile dysfunction management. Level of evidence: 4

This paper examines the merit of conducting a qualitative analysis of LibQUAL+® survey comments as a means of leveraging quantitative LibQUAL+ results, and using importance-satisfaction matrices to present and assess qualitative findings. Comments collected from the authors’ institution’s LibQUAL+ survey were analyzed using a codebook based on theoretical insights of customer satisfaction with library features. Qualitative findings extended the quantitative results and yielded key recommendations that were new or unclear from the quantitative results alone. Importance-satisfaction matrices were beneficial in pinpointing primary and secondary opportunities for improvement, areas to place continued emphasis, and areas where expectations were exceeded.

A PBPK modelling approach was used to predict organic anion transporter (OAT) mediated drug-drug interactions involving S44121, a substrate and an inhibitor of OAT1 and OAT3. Model predictions were then compared to the results of a clinical DDI study which was carried out to investigate the interaction of S44121 with probenecid, tenofovir and ciprofloxacin. PBPK models were developed and qualified using existing clinical data, and inhibition constants were determined in vitro. The model predictions for S44121 as an OAT inhibitor were similar to the results obtained from the clinical DDI study, with no interaction observed for tenofovir or ciprofloxacin in the presence of S44121. An observed AUC ratio of 2.2 was obtained for S44121 in the presence of probenecid, which was slightly higher than the model predicted AUC ratio of 1.6. A DDI study in the monkey was also carried out for the interaction between S44121 and probenecid, since the monkey has previously been reported to be a good preclinical model for OAT-mediated DDI. However, this study highlighted a species difference in the major route of S44121 elimination between monkey (mainly hepatic metabolism) and human (mainly renal excretion of unchanged drug), rendering a comparison between the two DDI studies difficult. Overall, for S44121 the PBPK modelling approach gave a better prediction of the extent of DDI than the static predictions based on inhibitor Cmax and IC50, therefore this can be considered a potentially valuable tool within drug development.

The prediction of brain extracellular fluid (ECF) concentrations in human is a potentially valuable asset during drug development as it can provide the pharmacokinetic input for pharmacokinetic–pharmacodynamic models. This study aimed to compare two translational modelling approaches that can be applied at the preclinical stage of development in order to simulate human brain ECF concentrations. A population-PBPK model of the central nervous system was developed based on brain microdialysis data, and the model parameters were translated to their corresponding human values to simulate ECF and brain tissue concentration profiles. In parallel, the PBPK modelling software Simcyp was used to simulate human brain tissue concentrations, via the bottom-up prediction of brain tissue distribution using two different sets of mechanistic tissue composition-based equations. The population-PBPK and bottom-up approaches gave similar predictions of total brain concentrations in both rat and human, while only the population-PBPK model was capable of accurately simulating the rat ECF concentrations. The choice of PBPK model must therefore depend on the purpose of the modelling exercise, the in vitro and in vivo data available and knowledge of the mechanisms governing the membrane permeability and distribution of the drug. Copyright © 2014 John Wiley & Sons, Ltd.

McMaster University Library (Hamilton, Canada) implemented the Balanced Scorecard as a strategic planning and performance management tool in 2009. The implementation process was time-consuming and resource intensive but ultimately the project was successful. The Library expects to maintain key elements of the Balanced Scorecard as it prepares to undertake another strategic planning cycle.

A whole-body physiologically based pharmacokinetic (PBPK) model was developed for the prediction of unbound drug concentration-time profiles in the rat brain, in which drug transfer across the blood–brain barrier (BBB) was treated mechanistically by separating the parameters governing the rate (permeability) of BBB transfer from brain binding. An in vitro–in vivo scaling strategy based on Caco-2 cell permeability was proposed to extrapolate the active transporter-driven component of this permeability, in which a relative activity factor, RAF, was estimated by fitting the model to rat in vivo profiles. This scaling factor could be interpreted as the ratio of transporter activity between the in vitro system and the in vivo BBB, for a given drug in a given in vitro system. Morphine and oxycodone were selected to evaluate this strategy, as substrates of BBB-located efflux and influx transporters, respectively. After estimation of their respective RAFs using the rat model, the PBPK model was used to simulate human brain concentration profiles assuming the same RAF, and the implications of this were discussed. © 2012 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 101:4277–4292, 2012

In 2005, a survey compared a number of commercial PBPK software available at the time, mainly focusing on 'ready to use' modelling tools. Since then, these tools and software have been further developed and improved to allow modellers to perform WB-PBPK modelling including ADME processes at a high level of sophistication. This review presents a comparison of the features, values and limitations of both the 'ready to use' software and of the traditional user customizable software that are frequently used for the building and use of PBPK models, as well as the challenges associated with the various modelling approaches regarding their current and future use. PBPK models continue to be used more and more frequently during the drug development process since they represent a quantitative, physiologically realistic platform with which to simulate and predict the impact of various potential scenarios on the pharmacokinetics and pharmacodynamics of drugs. The 'ready to use' PBPK software has been a major factor in the increasing use of PBPK modelling in the pharmaceutical industry, opening up the PBPK approach to a broader range of users. The challenge is now to educate and to train scientists and modellers to ensure their appropriate understanding of the assumptions and the limitations linked both to the physiological framework of the 'virtual body' and to the scaling methodology from in vitro to in vivo (IVIVE).

The intracellular ileal lipid binding proteins (ILBPs) are involved in the transport and enterohepatic circulation of bile acids. ILBPs from different species show high sequence and structural homology and have been shown to bind multiple bile acid ligands with differing degrees of selectivity and positive co-operativity. Human ILBP binds bile acid derivatives in a well-characterised 2:1 ligand:protein complex, however, we show that the highly homologous rabbit ILBP (82% sequence identity) with seven conservative substitutions preferentially binds multiple conjugated deoxycholate ligands in a novel 3:1 binding mode essentially within the same beta-clam shell structure. We have extended these studies to investigate the role of the alpha-helical capping motif (residues 9-35) in controlling the dimensions of the binding cavity and ligand uptake. Substituting the alpha-helical motif (residues 9-35) with a short Gly-Gly-Ser-Gly linker dramatically affects the protein stability such that under physiological conditions the mutant (Deltaalpha-ILBP) is highly disordered. However, we show that the inability of the mutant to adopt a stable three-dimensional structure under these conditions is no barrier to binding ligands with near-native affinity. These structural modifications not only demonstrate the possibility of strong coupling between ligand binding and protein folding, but result in changes in bile acid selectivity and binding stoichiometry, which we characterise in detail using isothermal calorimetry and mass spectrometry.

The prediction of brain extracellular fluid (ECF) concentrations in human is a potentially valuable asset during drug development as it can provide the pharmacokinetic input for pharmacokinetic-pharmacodynamic models. This study aimed to compare two translational modelling approaches that can be applied at the preclinical stage of development in order to simulate human brain ECF concentrations. A population-PBPK model of the central nervous system was developed based on brain microdialysis data, and the model parameters were translated to their corresponding human values to simulate ECF and brain tissue concentration profiles. In parallel, the PBPK modelling software Simcyp was used to simulate human brain tissue concentrations, via the bottom-up prediction of brain tissue distribution using two different sets of mechanistic tissue composition-based equations. The population-PBPK and bottom-up approaches gave similar predictions of total brain concentrations in both rat and human, while only the population-PBPK model was capable of accurately simulating the rat ECF concentrations. The choice of PBPK model must therefore depend on the purpose of the modelling exercise, the in vitro and in vivo data available and knowledge of the mechanisms governing the membrane permeability and distribution of the drug.

Physiologically based pharmacokinetic (PBPK) modeling of the central nervous system (CNS) provides the opportunity to predict the relevant drug concentrations at the therapeutic target site during preclinical and clinical development. In order to successfully interpret model results, and to provide confidence in the subsequent human predictions, it is essential that an appropriate model structure is chosen at the preclinical stage which takes into account both physiological and drug-specific knowledge. However, the models published to date in the literature show significant variation in the approaches applied by different authors, which can lead to difficulties in the interpretation of model parameter estimates. We aimed to develop a coherent PBPK modeling approach in the rat, which would also be adaptable depending on the quantity and quality of in vivo data obtained during drug development. Based on a sensitivity analysis of the model parameters, and using three CNS drugs as case studies (atomoxetine, acetaminophen, and S 18986), we proposed a decision tree to aid in the appropriate parametrization and structure of the model according to the data available. We compared our parameter estimates to those originally published, and considered the impact of the respective approaches on the mechanistic interpretation of the parameter values. Since the measurement of brain extracellular fluid (ECF) concentrations using microdialysis is not routinely performed in the industrial environment, we also evaluated the bottom-up scaling of in vitro permeability data from the Caco-2 cell line to predict BBB passive permeability in the absence of measured ECF concentrations. Our strategy demonstrates the value of PBPK as a prediction tool throughout the development process of CNS-targeting drugs.

Predicting the penetration of drugs across the human blood–brain barrier (BBB) is a significant challenge during their development. A variety of in vitro systems representing the BBB have been described, but the optimal use of these data in terms of extrapolation to human unbound brain concentration profiles remains to be fully exploited. Physiologically based pharmacokinetic (PBPK) modelling of drug disposition in the central nervous system (CNS) currently consists of fitting preclinical in vivo data to compartmental models in order to estimate the permeability and efflux of drugs across the BBB. The increasingly popular approach of using in vitro–in vivo extrapolation (IVIVE) to generate PBPK model input parameters could provide a more mechanistic basis for the interspecies translation of preclinical models of the CNS. However, a major hurdle exists in verifying these predictions with observed data, since human brain concentrations can’t be directly measured. Therefore a combination of IVIVE-based and empirical modelling approaches based on preclinical data are currently required. In this review, we summarise the existing PBPK models of the CNS in the literature, and we evaluate the current opportunities and limitations of potential IVIVE strategies for PBPK modelling of BBB penetration.

Libraries are increasingly using quantitative and qualitative research methods to assess the quality of their resources and services. This can include collecting survey data and conducting focus groups and patron interviews. While these forms of data collection are considered standard assessment tools, libraries already have a rich collection of data available to them through their suggestion boxes – one of the most longstanding methods to determine how well your library is doing. A survey of Canadian academic libraries was conducted to gain some insight into the prevalence of the suggestion box, how libraries were managing them in their day to day operations, and whether the collected data was mined for any decision-making purposes. The authors provide recommendations on how libraries can analyze their suggestion box data to improve services and engage more effectively with their users.

Murine double minute 2 (MDM2) protein exhibits many diverse biochemical functions on the tumour suppressor protein p53, including transcriptional suppression and E3 ubiquitin ligase activity. However, more recent data have shown that MDM2 can exhibit ATP-dependent molecular chaperone activity and directly mediate folding of the p53 tetramer. Analysing the ATP-dependent function of MDM2 will provide novel insights into the evolution and function of the protein. We have established a system to analyse the molecular chaperone function of MDM2 on another of its target proteins, the transcription factor E2F1. In the absence of ATP, MDM2 was able to catalyse inhibition of the DNA-binding function of E2F1. However, the inhibition of E2F1 by MDM2 was stimulated by ATP, and mutation of the ATP-binding domain of MDM2 (K454A) prevented the ATP-stimulated inhibition of E2F1. Further, ATP stabilized the binding of E2F1 to MDM2 using conditions under which ATP destabilized the MDM2:p53 complex. However, the ATP-binding mutant of MDM2 was as active as an E3 ubiquitin ligase on E2F1 and p53, highlighting a specific function for the ATP-binding domain of MDM2 in altering substrate protein folding. Antibodies to three distinct domains of MDM2 neutralized its activity, showing that inhibition of E2F1 is MDM2-dependent and that multiple domains of MDM2 are involved in E2F1 inhibition. Dimethylsulfoxide, which reduces protein unfolding, also prevented E2F1 inhibition by MDM2. These data support a role for the ATP-binding domain in altering the protein-protein interaction function of MDM2.

Historical use of urine varies greatly from the production of gunpowder, as a fertiliser, dyeing wool in the textile industry and wound healing. The ancient Egyptians used to have a pregnant woman urinate on bags of wheat and bags of barley. if wheat sprouted, it was a girl; if barley did, it was a boy; if neither did, there was no pregnancy! However, it was Carl Friedrich Gartner (1772–1850) who towards the end of the 18th century pioneered urine testing at the bedside.