Dose-toxicity Relationship Research Articles

Holmium-166 radioembolisation dosimetry in HCC.

To evaluate dosimetry, dose-response and dose-toxicity relationships for holmium-166 (166Ho) radioembolisation in patients with hepatocellular carcinoma (HCC). Thirty-one patients with hepatocellular carcinoma were included in the HEPAR Primary study (NCT03379844, registered on December 20th, 2017) and underwent 166Ho-microspheres radioembolisation. Linear mixed models assessed the association between tumour absorbed doses and response based on mRECIST both on tumour and patient level. Preliminary tumour absorbed dose thresholds were estimated based on predictive value. Linear regression models assessed the association between non-tumour absorbed dose and Common Terminology Criteria for Adverse Events version 4.03. Median tumour absorbed dose (tumour level) was 95.5 Gy (range 44-332 Gy). Median non-tumour absorbed dose based on whole liver volume was 19 Gy (range 3 - 48 Gy) and based on target liver volume was 30 Gy (range 13 - 54 Gy). There was a significant association between non-tumour absorbed dose and toxicity. Tumours with partial response/complete response (PR/CR, responders) received a 41% higher absorbed dose than tumours with progressive disease/stable disease (PD/SD, non-responders) (95%CI: 2%-93%, p = 0.04). A predictive value of 90% for tumour response was observed at a tumour absorbed dose threshold of 155 Gy, 100% predictive value was achieved at 184.5 Gy. This study confirms a positive relationship between tumour absorbed dose and response and between non-tumour absorbed dose and toxicity. Dose thresholds found in this study can serve as a basis for personalized dosimetry in HCC patients treated with 166Ho-microspheres.

Phase I/II Design for Selecting Subgroup-Specific Optimal Biological Doses for Prespecified Subgroups.

We propose a phase I/II trial design to support dose-finding when the optimal biological dose (OBD) may differ in two prespecified patient subgroups. The proposed design uses a utility function to quantify efficacy-toxicity trade-offs, and a Bayesian model with spike and slab prior distributions for the subgroup effect on toxicity and efficacy to guide dosing and to facilitate identifying either subgroup-specific OBDs or a common OBD depending on the resulting trial data. In a simulation study, we find the proposed design performs nearly as well as a design that ignores subgroups when the dose-toxicity and dose-efficacy relationships are the same in both subgroups, and nearly as well as a design with independent dose-finding within each subgroup when these relationships differ across subgroups. In other words, the proposed adaptive design performs similarly to the design that would be chosen if investigators possessed foreknowledge about whether the dose-toxicity and/or dose-efficacy relationship differs across two prespecified subgroups. Thus, the proposed design may be effective for OBD selection when uncertainty exists about whether the OBD differs in two prespecified subgroups.

Optimizing Hearing Outcomes in Nasopharyngeal Cancer Survivors in the Era of Modern Radiotherapy and Systemic Therapy.

Intensity-modulated radiation therapy (IMRT) improves disease control and reduces treatment-related toxicity in patients with localized nasopharyngeal carcinoma (NPC). However, due to the proximity of the auditory apparatus to the treatment volume and the frequent incorporation of cisplatin-based chemotherapy, treatment-related sensorineural hearing loss (SNHL) remains a common debilitating complication among NPC survivors. The reported crude incidence of SNHL following IMRT for NPC varies widely at 1-46% due to differences in auditory assessment methods and thresholds, follow-up durations, chemotherapy usage, and patient compositions. International guidelines and radiation dosimetric studies have recommended constraining the cochlear mean dose to less than 44-50 Gy, but the risk of SNHL remains high despite adherence to these constraints. Potential strategies to improve hearing outcomes in NPC survivors include cautious de-escalation of radiotherapy dose and volume, individualization of cochlear constraints, optimization of radiotherapy planning techniques, and the use of substitutes or alternative schedules for cisplatin-based chemotherapy. The addition of immune checkpoint inhibitors to chemoradiotherapy did not impact ototoxicity. Prospective studies that employ both objective and patient-reported auditory outcomes are warranted to test the long-term benefits of various approaches. This article aims to provide a comprehensive review of the incidence and radiation dose-toxicity relationship of SNHL in NPC survivors and to summarize potential strategies to optimize hearing outcomes in relation to nuances in radiotherapy planning and the selection of systemic therapy.

Dose Finding in Oncology Trials Guided by Ordinal Toxicity Grades Using Continuous Dose Levels.

We present a Bayesian adaptive design for dose finding in oncology trials with application to a first-in-human trial. The design is based on the escalation with overdose control principle and uses an intermediate grade 2 toxicity in addition to the traditional binary indicator of dose-limiting toxicity (DLT) to guide the dose escalation and de-escalation. We model the dose-toxicity relationship using the proportional odds model. This assumption satisfies an important ethical concern when a potentially toxic drug is first introduced in the clinic; if a patient experiences grade 2 toxicity at the most, then the amount of dose escalation is lower relative to that wherein if this patient experienced a maximum of grade 1 toxicity. This results in a more careful dose escalation. The performance of the design was assessed by deriving the operating characteristics under several scenarios for the true MTD and expected proportions of grade 2 toxicities. In general, the trial design is safe and achieves acceptable efficiency of the estimated MTD for a planned sample size of twenty patients. At the time of writing this manuscript, twelve patients have been enrolled to the trial.

REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors.

The rise of cutting-edge precision cancer treatments has led to a growing significance of the optimal biological dose (OBD) in modern oncology trials. These trials now prioritize the consideration of both toxicity and efficacy simultaneously when determining the most desirable dosage for treatment. Traditional approaches in early-phase oncology trials have conventionally relied on the assumption of a monotone relationship between treatment efficacy and dosage. However, this assumption may not hold valid for novel oncology therapies. In reality, the dose-efficacy curve of such treatments may reach a plateau at a specific dose, posing challenges for conventional methods in accurately identifying the OBD. Furthermore, achieving reliable identification of the OBD is typically not possible based on a single small-sample trial. With data from multiple phase I and phase I/II trials, we propose a novel Bayesian random-effects dose-optimization meta-analysis (REDOMA) approach to identify the OBD by synthesizing toxicity and efficacy data from each trial. The REDOMA method can address trials with heterogeneous characteristics. We adopt a curve-free approach based on a Gamma process prior to model the average dose-toxicity relationship. In addition, we utilize a Bayesian model selection framework that uses the spike-and-slab prior as an automatic variable selection technique to eliminate monotonic constraints on the dose-efficacy curve. The good performance of the REDOMA method is confirmed by extensive simulation studies.

Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis

Auraptene (AUR) and umbelliprenin (UMB) are naturally occurring prenylated coumarins that have demonstrated promising anticancer effects across various human cancer cell lines. This meta-analysis aimed to systematically assess, compare, and quantify the anticancer efficacy of AUR and UMB by synthesizing evidence from in vitro studies. A comprehensive literature search identified 27 eligible studies investigating AUR or UMB against cancer cells. Mixed-effects models revealed significant negative associations between coumarin dose and viability for AUR (est. = − 2.27) and UMB (est. = − 3.990), underscoring their dose-dependent cytotoxicity. Meta-regression indicated slightly higher potency for UMB over AUR, potentially due to increased lipophilicity imparted by additional isoprenyl units. Machine learning approaches identified coumarin dose and cancer type as the most influential determinants of toxicity, while treatment duration and the specific coumarin displayed weaker effects. Moderate (AUR) to substantial (UMB) between-study heterogeneity was detected, although the findings proved robust. In summary, this meta-analysis establishes AUR and UMB as promising natural anticancer candidates with clear dose-toxicity relationships across diverse malignancies. The structural insights and quantifications of anticancer efficacy can inform forthcoming efforts assessing therapeutic potential in pre-clinical models and human trials.

Abstract 1350: KD6001: A promising new anti-CTLA-4 human monoclonal antibody for cancer therapy

Abstract Cytotoxic T lymphocyte antigen-4 (CTLA-4) is a crucial immune checkpoint that negatively regulates T cell activation. Inhibiting this negative regulation through CTLA-4 blockade has emerged as a promising therapeutic strategy against cancer. Herein, we present the preclinical pharmacology study of KD6001, a novel anti-CTLA-4 IgG1 kappa human monoclonal antibody with superior properties compared to ipilimumab, a currently approved anti-CTLA-4 mAb. Surface plasmon resonance (SPR) analysis revealed that KD6001 exhibits a higher affinity for CTLA-4 compared to ipilimumab (KD = 0.57 nM vs 1.20 nM). Competition ELISA experiments demonstrated that KD6001 is significantly more potent than ipilimumab in disrupting CTLA-4 interactions with CD80 (IC50 = 16 ng/mL vs 93 ng/mL) and CD86. Further, amino acid point mutation analysis indicated that two specific residues following the CD80/CD86 binding site (99MYPPPY104) are critical for ipilimumab binding, whereas mutation of the two residues had minimal impact on KD6001's CTLA-4 binding activity. These findings suggest that KD6001 and ipilimumab bind distinct epitopes on CTLA-4. In vitro experiments demonstrated that KD6001 enhances the production of IL-2 and IFNγ in PHA-activated human lymphocytes and exhibits synergistic anti-tumor effects when combined with anti-PD-1/L1 antibodies. Moreover, in vivo studies utilizing syngeneic murine tumor models established in human CTLA-4 gene knock-in mice revealed that KD6001 effectively inhibits or delays tumor growth in colon cancer MC38, melanoma B16, and hepatocellular carcinoma Hepa1-6 models. Additionally, KD6001 demonstrated synergistic anti-tumor effects when combined with a mouse anti-PD-1 antibody or ibuprofen. Toxicity evaluation in cynomolgus monkeys revealed that KD6001 was generally well-tolerated at doses ranging from 1 mg/kg to 10 mg/kg administered intravenously once weekly for four weeks. The primary pathological changes observed were lymphocyte/monocyte infiltration or increased lymphocyte/monocyte infiltration in several organs, consistent with KD6001's mechanism of action. Notably, the similar affinity of KD6001 for human and cynomolgus monkey CTLA-4 suggests that the toxicity profile observed in monkeys accurately reflects the dose-toxicity relationship in human. The promising preclinical data presented herein support the further clinical development of KD6001 as a potential therapeutic agent for cancer treatment. Currently, clinical trials evaluating KD6001 in patients with advanced melanoma are ongoing. Citation Format: Yi Chen, Peng Li, Guobo Fang, Heng Wu, Chi Zhang, Zeling Cai. KD6001: A promising new anti-CTLA-4 human monoclonal antibody for cancer therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1350.

Clinical outcomes associated with orphenadrine deliberate self-poisoning: a retrospective poisons centre study

Introduction Orphenadrine overdoses can cause antimuscarinic toxicity, respiratory failure, refractory seizures and cardiotoxicity. The dose–toxicity relationship is poorly defined. Orphenadrine is marketed as immediate and sustained release formulations, and it is not known how the formulation impacts on toxicity. We determined the clinical toxicity of orphenadrine in patients referred to a regional poisons centre. Methods Retrospective case series of patients in New South Wales with orphenadrine deliberate self-poisoning from January 2016 to April 2022 referred to the New South Wales Poisons Information Centre. Demographics, history of exposure, treatment and outcomes were extracted from clinical databases. Receiver-operating characteristic curves were constructed to determine thresholds predicting toxicity. Results Forty-eight patients were identified, with information on clinical outcomes in 46 patients and doses in 41 patients. All patients were older than 12 years. The median orphenadrine dose was 770 mg (range 210–10,000 mg), 59 per cent as the immediate release formulation, and 67 per cent reported coingestants. Doses of sustained release formulations were significantly greater than immediate release formulations, median 2,750 mg versus 595 mg. Common clinical features were drowsiness (59 per cent), sinus tachycardia (37 per cent) and confusion (33 per cent). Three patients had mild hypotension, three were intubated for coma, and two had seizures; no patients suffered ventricular dysrhythmias. All patients survived, with 75 per cent being medically cleared within 24 hours of presentation. A dose–toxicity relationship was observed, but conclusions are limited by the small number of cases with moderate or severe toxicity. Discussion All patients survived, and severe cardiac and neurological toxicity were not observed. This contrasts to published case reports noting severe poisoning at similar or lower doses. Formulation may have an impact on outcomes, with lesser toxicity from sustained release products. Conclusions Orphenadrine doses up to 10 g were associated with antimuscarinic toxicity and sedation, but not severe cardiotoxicity. More research exploring the effect of dose and formulation on outcomes is required.

Dose–effect relationships in neuroendocrine tumour liver metastases treated with [166Ho]-radioembolization

PurposeAim of this study was to investigate a dose-response relationship, dose-toxicity relationship, progression free survival (PFS) and overall survival (OS) in neuroendocrine tumour liver metastases (NELM) treated with holmium-166-microspheres radioembolization ([166Ho]-radioembolization).Materials and methodsSingle center, retrospective study included patients with NELM that received [166Ho]-radioembolization with post-treatment SPECT/CT and CECT or MRI imaging for 3 months follow-up. Post-treatment SPECT/CT was used to calculate tumour (Dt) and whole liver healthy tissue (Dh) absorbed dose. Clinical and laboratory toxicity was graded by Common Terminology Criteria for Adverse Events (CTCAE), version 5 at baseline and three-months follow-up. Response was determined according to RECIST 1.1. The tumour and healthy doses was correlated to lesion-based objective response and patient-based toxicity. Kaplan Meier analyses were performed for progression free survival (PFS) and overall survival (OS).ResultsTwenty-seven treatments in 25 patients were included, with a total of 114 tumours. Median follow-up was 14 months (3 – 82 months). Mean Dt in non-responders was 68 Gy versus 118 Gy in responders, p = 0.01. ROC analysis determined 86 Gy to have the highest sensitivity and specificity, resp. 83% and 81%. Achieving a Dt of ≥ 120 Gy provided the highest likelihood of response (90%) for obtaining response. Sixteen patients had grade 1–2 clinical toxicity and only one patient grade 3. No clear healthy liver dose-toxicity relationship was found. The median PFS was 15 months (95% CI [10.2;19.8]) and median OS was not reached.ConclusionThis study confirms the safety and efficacy of [166Ho]-radioembolization in NELM in a real-world setting. A clear dose–response relationship was demonstrated and future studies should aim at a Dt of ≥ 120 Gy, being predictive of response. No dose-toxicity relationship could be established.

Estimands in Oncology Early Clinical Development: Assessing the Impact of Intercurrent Events on the Dose-Toxicity Relationship

The R1 addendum to ICH E9 (E9-R1) provides guidance on the definition of estimands in clinical drug development. While the E9-R1 has seen uptake in randomized late-stage clinical trials, its implementation in early clinical development remains sporadic potentially jeopardizing clarity, consistency, and coherency in early phase. In this article, we call for a more systematic use of the estimand thinking in phase 1 dose escalation oncology trials. In these adaptive trials, the primary clinical objective is usually to characterize the dose-toxicity relationship and to ascertain the maximum tolerated dose (MTD). One estimand of interest is the probability of dose-limiting toxicity (DLT). Intercurrent events (ICE) interfering with the existence or interpretation of DLT outcomes are common in these studies. Three types of ICEs are reviewed in detail: treatment discontinuation for reasons not related to toxicity (e.g., disease progression), treatment discontinuation due to adverse events which would not qualify as DLT, and dose modifications or omissions. The concept of replacement of non-DLT evaluable participants, often used so far, is not an acceptable general solution to ICEs in dose escalation studies. To address clinically relevant questions, adequate ICE handling strategies and estimators aligned to these settings should be used.

An extended Bayesian semi-mechanistic dose-finding design for phase I oncology trials using pharmacokinetic and pharmacodynamic information.

We propose a model-based, semi-mechanistic dose-finding (SDF) design for phase I oncology trials that incorporates pharmacokinetic/pharmacodynamic (PK/PD) information when modeling the dose-toxicity relationship. This design is motivated by a phase Ib/II clinical trial of anti-CD20/CD3 T cell therapy in non-Hodgkin lymphoma patients; it extends a recently proposed SDF model framework by incorporating measurements of a PD biomarker relevant to the primary dose-limiting toxicity (DLT). We propose joint Bayesian modeling of the PK, PD, and DLT outcomes. Our extensive simulation studies show that on average the proposed design outperforms some common phase I trial designs, including modified toxicity probability interval (mTPI) and Bayesian optimal interval (BOIN) designs, the continual reassessment method (CRM), as well as an SDF design assuming a latent PD biomarker (SDF-woPD), in terms of the percentage of correct selection of maximum tolerated dose (MTD) and average number of patients allocated to MTD, under a variety of dose-toxicity scenarios. When the working PK model and the class of link function between the cumulative PD effect and DLT probability is correctly specified, the proposed design also yields better estimated dose-toxicity curves than CRM and SDF-woPD. Our sensitivity analyses suggest that the design's performance is reasonably robust to prior specification for the parameter in the link function, as well as misspecification of the PK model and class of the link function.

Prospective approaches to gene therapy computational modeling - spotlight on viral gene therapy.

Clinical studies have found there still exists a lack of gene therapy dose-toxicity and dose-efficacy data that causes gene therapy dose selection to remain elusive. Model informed drug development (MIDD) has become a standard tool implemented throughout the discovery, development, and approval of pharmaceutical therapies, and has the potential to inform dose-toxicity and dose-efficacy relationships to support gene therapy dose selection. Despite this potential, MIDD approaches for gene therapy remain immature and require standardization to be useful for gene therapy clinical programs. With the goal to advance MIDD approaches for gene therapy, in this review we first provide an overview of gene therapy types and how they differ from a bioanalytical, formulation, route of administration, and regulatory standpoint. With this biological and regulatory background, we propose how MIDD can be advanced for AAV-based gene therapies by utilizing physiological based pharmacokinetic modeling and quantitative systems pharmacology to holistically inform AAV and target protein dynamics following dosing. We discuss how this proposed model, allowing for in-depth exploration of AAV pharmacology, could be the key the field needs to treat these unmet disease populations.

Generalized Likelihood Ratios for Designing Dose Optimization Studies of Targeted Therapies

Dose optimization studies of new therapeutic agents aim to identify one or more promising doses for further evaluation in subsequent studies. Traditionally, dose optimization has focused on finding the maximum tolerated dose (MTD), assuming that drug activity and efficacy generally increase with increasing dose. For modern targeted agents, the dose-activity relationship is often non-monotone and such that activity starts to plateau or even decline before reaching the MTD. Finding the optimal biological dose (OBD) for a targeted agent requires considering both toxicity and activity in dose optimization. This article proposes a new design for finding the OBD that utilizes generalized likelihood ratios (GLRs) to measure statistical evidence regarding key scientific questions on toxicity and activity. This GLR-based design requires no parametric modeling assumptions and only assumes that the dose-toxicity relationship is monotone and that the dose-activity relationship follows a two-sided isotonic regression model. Compared with existing designs that operate under similar assumptions, the GLR-based design is more general and more flexible, and performs competitively in simulation experiments where drug activity starts to plateau or decline before reaching the MTD.

A Phase 1 Trial of the Safety, Tolerability, and Biological Effects of Intravenous Enadenotucirev (EnAd), a Novel Oncolytic Virus, in Combination with Chemoradiotherapy in Locally Advanced Rectal Cancer (CEDAR)

Novel treatment combinations are required to increase response rates in rectal cancer. EnAd is an intravenous, tumor selective, oncolytic adenovirus with high affinity for malignant colorectal epithelial cells. Pre-clinical evidence of synergy with radiation warranted further clinical evaluation and assessment of safety in combination with chemoradiation (CRT), 25 × 2Gy and concurrent capecitabine. EnAd was escalated using 2 dose levels of viral particles (1 × 1012, 3 × 1012), given Monday, Wednesday, Friday over 3 schedules (pre-CRT, pre & post CRT). Toxicity and efficacy were used as dual end points in escalation decisions. A 2-parameter and 3-parameter logistic Time to Event Continual Reassessment Method (TiTE-CRM) were used estimate the dose-toxicity and dose-efficacy relationship, respectively. Results are shown as probability and 95% credible interval (Cr.I). The dose limiting toxicity (DLT) window was 13 weeks. Patients who had not completed their DLT window at the time of a dose decision were included in the safety analysis but down-weighted according to their follow-up time and amount of IMP received. Efficacy was assessed at 13 weeks using MRI Tumor Regression Grade (mrTRG), where mrTRG 1-2 equals response. The trial (NCT03916510) was conducted in 4 UK centers. A total of 13 patients were enrolled, 12 of whom were evaluable. Median age was 57 (range 31-84), and 10/13 were male. One patient had two G3 adverse events (AE); diarrhea, acute kidney injury. All other adverse events (AEs) were G1 or 2, with no G4/5 events. The most common AE by organ system was gastrointestinal (20.8%, G1). There were two observed DLTs on Dose schedule 3; leg swelling and acute kidney injury. Responses and toxicities increased with escalating schedules of EnAd (Table 1). CEDAR is the first trial to successfully combine an intravenous oncolytic adenovirus with radiation, demonstrating the feasibility and acceptability of this approach, and a new paradigm in radiosensitization in rectal cancer. Within this small Phase I study, EnAd demonstrated an acceptable safety profile with evidence of a higher-than-expected rate of response by mrTRG. Translation analysis of tissue, blood and microbiome for biological correlates of radiation synergy is underway. PsiOxus, CRUK (A24474). University of Oxford.

Effect of 28-day administration of Psoraleae Fructus water extract on early liver injury in rats

This study aims to investigate the hepatotoxicity of Psoraleae Fructus water extract and the underlying mechanism in rats. Forty-eight rats were randomly assigned into four groups: a blank group and low-(BZGL, 6.25 g·kg~(-1)), medium-(BGZM, 12.5 g·kg~(-1)), and high-dose(BGZH, 25 g·kg~(-1)) Psoraleae Fructus water extract groups. The rats were treated for 28 days, and toxicity and mortality were observed daily. After 28 days, the rats were sacrificed, and the body weight, liver index, and liver-to-brain ratio were calculated. The morphological changes in the liver tissue were observed, and the serum levels of related biochemical indicators were measured. The results showed that compared with the blank group, Psoraleae Fructus water extracts of different doses decreased the body weight, increased the liver index and liver-to-brain ratio, and caused liver hypertrophy and pathological changes. Pathological examination revealed that the rats in Psoraleae Fructus water extract groups had bile duct hyperplasia, inflammatory cell infiltration, and liver cell fibrosis. Compared with the blank group, BGZL elevated the levels of alanine transaminase(ALT), α-glutathione S-transferase(α-GST), and total bile acid(TBA)(P<0.05), and BGZM and BGZH elevated the levels of ALT, TBA, α-GST, γ-glutamyl transferase(γ-GT), purine nucleoside phosphorylase(PNP), ornithine carbamoyltransferase(OCT), and arginase(ArgI)(P<0.05). Compared with the blank group, Psoraleae Fructus water extracts of different doses down-regulated the mRNA and protein levels of bile salt export pump(BSEP) and farnesoid X receptor(FXR) and up-regulated the mRNA and protein levels of tumor necrosis factor-α(TNF-α), nuclear factor kappaB(NF-κB), and cholesterol 7 alpha-hydroxylase(CYP7A1)(P<0.05). The results suggested that Psoraleae Fructus water extract caused toxicity in rats, showing a dose-toxicity relationship. Psoraleae Fructus water extract may cause liver damage, which may be due to its effect on liver bile acid secretion and induction of inflammation.

Optimizing IFN alpha therapy against Myeloproliferative Neoplasms.

Myeloproliferative Neoplasms (MPNs) are hematological malignancies that result from acquired driver mutations in hematopoietic stem cells (HSCs), causing overproduction of blood cells and an increased risk of thrombo-hemorrhagic events. The most common MPN driver mutation affects the JAK2 gene (JAK2V617F ). Interferon alpha (IFNα) is a promising treatment against MPNs by inducing a hematological response and molecular remission for some patients. Mathematical models have been proposed to describe how IFNα targets mutated HSCs, indicating that a minimal dose is necessary for long-term remission. This study aims to determine a personalized treatment strategy. First, we show the capacity of an existing model to predict cell dynamics for new patients from data that can be easily obtained in clinic. Then, we study different treatment scenarios in silico for three patients, considering potential IFNα dose-toxicity relations. We assess when the treatment should be interrupted, depending on the response, the patient's age, and the inferred development of the malignant clone without IFNα. We find that an optimal strategy would be to treat the patients with a constant dose so that the treatment could be interrupted as fast as possible. Higher doses result in earlier discontinuation but also higher toxicity. Without knowledge of the dose-toxicity relationship, trade-off strategies can be found for each patient. A compromise strategy is to treat patients with medium doses (60-120 μg/week) for 10-15 years. Altogether, this work demonstrates how a mathematical model calibrated from real data can help build a clinical decision-support tool to optimize long-term IFNα therapy for MPN patients. Significance Statement Myeloproliferative Neoplasms (MPNs) are chronic blood cancers. Interferon alpha (IFNα) is a promising treatment with the potential to induce a molecular response by targeting mutated hematopoietic stem cells. MPN patients are treated over several years, and there is a lack of knowledge concerning the posology strategy and the best timing for interrupting therapy. The study opens avenues for rationalizing how to treat MPN patients with IFNα over several years, promoting a more personalized approach to treatment.

First-in-human phase I study of the OX40 agonist GSK3174998 with or without pembrolizumab in patients with selected advanced solid tumors (ENGAGE-1)

BackgroundThe phase I first-in-human study ENGAGE-1 evaluated the humanized IgG1 OX40 agonistic monoclonal antibody GSK3174998 alone (Part 1 (P1)) or in combination with pembrolizumab (Part 2 (P2)) in patients with...

Incorporating historical information to improve dose optimization design with toxicity and efficacy endpoints: iBOIN-ET.

In modern oncology drug development, adaptive designs have been proposed to identify the recommended phase 2 dose. The conventional dose finding designs focus on the identification of maximum tolerated dose (MTD). However, designs ignoring efficacy could put patients under risk by pushing to the MTD. Especially in immuno-oncology and cell therapy, the complex dose-toxicity and dose-efficacy relationships make such MTD driven designs more questionable. Additionally, it is not uncommon to have data available from other studies that target on similar mechanism of action and patient population. Due to the high variability from phase I trial, it is beneficial to borrow historical study information into the design when available. This will help to increase the model efficiency and accuracy and provide dose specific recommendation rules to avoid toxic dose level and increase the chance of patient allocation at potential efficacious dose levels. In this paper, we propose iBOIN-ET design that uses prior distribution extracted from historical studies to minimize the probability of decision error. The proposed design utilizes the concept of skeleton from both toxicity and efficacy data, coupled with prior effective sample size to control the amount of historical information to be incorporated. Extensive simulation studies across a variety of realistic settings are reported including a comparison of iBOIN-ET design to other model based and assisted approaches. The proposed novel design demonstrates the superior performances in percentage of selecting the correct optimal dose (OD), average number of patients allocated to the correct OD, and overdosing control during dose escalation process.

Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer

Theranostics - i.e., the combination of molecular imaging and radiopharmaceutical therapy of cancer targeting a common biological feature - is a rapidly expanding field owing the recent successes of novel radiopharmaceutical therapies, such as 177Lu-based prostate-specific membrane antigen radioligand therapy of prostate cancer and peptide receptor radionuclide therapy of neuroendocrine tumours. Despite the ongoing technical developments in imaging-based dosimetry, the existence of tumour absorbed dose-efficacy and organ absorbed dose-toxicity relationships, as well as the high interpatient variability in absorbed doses per unit activity, radiopharmaceutical therapies are still mostly administered in a fixed-activity, one-size-fits-all fashion. This is at odds with the principles of radiation oncology, where the absorbed doses to tissues are prescribed and their delivery is carefully planned and controlled for each individual patient to maximise the clinical benefits. There is a growing body of clinical evidence that dosimetry-based radiopharmaceutical therapy allows to safely optimise tumour irradiation, which translates into improved clinical outcomes. In this narrative review, we will present the reported prospective clinical experience to date on the use of imaging-based dosimetry to personalise radiopharmaceutical therapies.

Isotopically Modified Bioassay Bridges the Bioavailability and Toxicity Risk Assessment of Metals in Bedded Sediments.

The application of bioavailability-based risk assessment for the management of contaminated sediments requires new techniques to rapidly and accurately determine metal bioavailability. Here, we designed a multimetal isotopically modified bioassay to directly measure the bioavailability of different metals by tracing the change in their isotopic composition within organisms following sediment exposure. With a 24 h sediment exposure, the bioassay sensed significant bioavailability of nickel and lead within the sediment and determined that cadmium and copper exhibited low bioavailable concentrations and risk profiles. We further tested whether the metal bioavailability sensed by this new bioassay would predict the toxicity risk of metals by examining the relationship between metal bioavailability and metal toxicity to chironomid larvae emergence. A strong dose-toxicity relationship between nickel bioavailability (nickel assimilation rate) and toxicity (22 days emergence ratio) indicated exposure to bioavailable nickel in the sediment induced toxic effects to the chironomids. Overall, our study demonstrated that the isotopically modified bioassay successfully determined metal bioavailability in sediments within a relatively short period of exposure. Because of its speed of measurement, it may be used at the initial screening stage to rapidly diagnose the bioavailable contamination status of a site.