Guselkumab provides durable improvement across psoriatic arthritis disease domains: post hoc analysis of a phase 3, randomised, double-blind, placebo-controlled study.

OBJECTIVE: Evaluate long-term guselkumab effectiveness across Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)-recognised domains/related conditions of psoriatic arthritis (PsA). METHODS: Post hoc analyses used data from DISCOVER-2 (NCT03158285) biologic/Janus-kinase inhibitor-naïve participants with active PsA (≥5 swollen/≥5 tender joints, C-reactive protein ≥0.6 mg/dL), randomised (1:1:1) to guselkumab every 4 or 8 weeks (Q4W/Q8W) or placebo with crossover to guselkumab. Outcomes aligned with key GRAPPA-recognised domains of overall disease activity, peripheral arthritis, axial disease, enthesitis/dactylitis and skin psoriasis (nail psoriasis was not evaluated). PsA-related conditions (inflammatory bowel disease (IBD)/uveitis) were assessed via adverse events through W112. Least squares mean changes from baseline through W100 in continuous outcomes employed repeated measures mixed-effects models adjusting for baseline scores. Binary measure response rates were determined with non-responder imputation for missing data. RESULTS: 442/493 (90%) of guselkumab-randomised patients completed treatment through W100. Following early reductions in disease activity with guselkumab, durable improvements were observed across key PsA domains (swollen/tender joints, psoriasis, spinal pain, enthesitis/dactylitis) through W100. Response rates of therapeutically relevant targets generally increased through W100 with guselkumab Q4W/Q8W: Disease Activity Index for PsA low disease activity (LDA) 62%/59%, enthesitis resolution 61%/70%, dactylitis resolution 72%/83%, 100% improvement in Psoriasis Area and Severity Index 59%/53%, Psoriatic Arthritis Disease Activity Score LDA 51%/49% and minimal disease activity 38%/40%. Through W112, no cases of IBD developed among guselkumab-randomised patients and one case of uveitis was reported. CONCLUSION: In biologic-naïve patients with active PsA, guselkumab provided early and durable improvements in key GRAPPA-recognised domains through 2 years, with substantial proportions achieving important treatment targets.

Modulation of Interleukin-23 Signaling With Guselkumab in Biologic-Naive Patients Versus Tumor Necrosis Factor Inhibitor-Inadequate Responders With Active Psoriatic Arthritis.

OBJECTIVE: We assessed and compared immunologic differences and associations with clinical response to guselkumab, a fully human interleukin (IL)-23p19 subunit inhibitor, in participants with active psoriatic arthritis (PsA) who were biologic-naive or had inadequate response to tumor necrosis factor inhibitors (TNFi-IR). METHODS: Serum biomarker levels at baseline and after treatment with guselkumab 100 mg every 8 weeks were compared between biologic-naive (n = 251) and TNFi-IR (n = 93) subgroups identified in the pooled DISCOVER-1/DISCOVER-2/COSMOS data set. Baseline biomarker levels determined by achievement of week 24 clinical responses (≥75%/90% improvement in Psoriasis Area and Severity Index [PASI 75/90], Investigator's Global Assessment [IGA] of psoriasis score 0/1 and ≥2-point improvement], ≥20% improvement in American College of Rheumatology criteria [ACR20]) were compared between prior treatment subgroups. RESULTS: Baseline IL-22, TNFα, and beta defensin-2 (BD-2) levels were significantly lower in biologic-naive than in TNFi-IR participants. With guselkumab, week 24 IL-17A, IL-17F, IL-22, serum amyloid A, C-reactive protein, IL-6, and BD-2 levels were significantly reduced from baseline in biologic-naive and TNFi-IR participants (≥1.4-fold difference, nominal P < 0.05). Clinical responders to guselkumab exhibited significantly higher baseline levels of several biomarkers than nonresponders (IL-17A, IL-17F, BD-2 in biologic-naive PASI 90 responders; IL-17A, BD-2 in TNFi-IR IGA 0/1 responders; IL-22, BD-2 in TNFi-IR PASI 90 responders [nominal P < 0.05]) and trended higher in TNFi-IR ACR20 responders. CONCLUSION: Guselkumab modulates IL-23 signaling and provides consistent pharmacodynamic effects in both biologic-naive and TNFi-IR PsA patients. Significantly elevated baseline IL-22, TNFα, and BD-2 levels and associations between baseline IL-22, IL-17A, and BD-2 levels and skin responses to guselkumab suggest greater dysregulation of IL-23/Th17 signaling in patients with TNFi-IR.

Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation.

BACKGROUND: There is overwhelming evidence that in vitro three-dimensional tumor cell cultures more accurately reflect the complex in vivo microenvironment than simple two-dimensional cell monolayers, not least with respect to gene expression profiles, signaling pathway activity and drug sensitivity. However, most currently available three-dimensional techniques are time consuming and/or lack reproducibility; thus standardized and rapid protocols are urgently needed. RESULTS: To address this requirement, we have developed a versatile toolkit of reproducible three-dimensional tumor spheroid models for dynamic, automated, quantitative imaging and analysis that are compatible with routine high-throughput preclinical studies. Not only do these microplate methods measure three-dimensional tumor growth, but they have also been significantly enhanced to facilitate a range of functional assays exemplifying additional key hallmarks of cancer, namely cell motility and matrix invasion. Moreover, mutual tissue invasion and angiogenesis is accommodated by coculturing tumor spheroids with murine embryoid bodies within which angiogenic differentiation occurs. Highly malignant human tumor cells were selected to exemplify therapeutic effects of three specific molecularly-targeted agents: PI-103 (phosphatidylinositol-3-kinase (PI3K)-mammalian target of rapamycin (mTOR) inhibitor), 17-N-allylamino-17-demethoxygeldanamycin (17-AAG) (heat shock protein 90 (HSP90) inhibitor) and CCT130234 (in-house phospholipase C (PLC)γ inhibitor). Fully automated analysis using a Celigo cytometer was validated for tumor spheroid growth and invasion against standard image analysis techniques, with excellent reproducibility and significantly increased throughput. In addition, we discovered key differential sensitivities to targeted agents between two-dimensional and three-dimensional cultures, and also demonstrated enhanced potency of some agents against cell migration/invasion compared with proliferation, suggesting their preferential utility in metastatic disease. CONCLUSIONS: We have established and validated a suite of highly reproducible tumor microplate three-dimensional functional assays to enhance the biological relevance of early preclinical cancer studies. We believe these assays will increase the translational predictive value of in vitro drug evaluation studies and reduce the need for in vivo studies by more effective triaging of compounds.

Effect of guselkumab on serum biomarkers in patients with active psoriatic arthritis and inadequate response to tumor necrosis factor inhibitors: results from the COSMOS phase 3b study.

BACKGROUND: Guselkumab is a selective interleukin (IL)-23 inhibitor targeting the IL-23p19 subunit. In the phase 3b COSMOS trial, guselkumab demonstrated efficacy in treating participants with active psoriatic arthritis (PsA) and inadequate response (IR; lack of efficacy or intolerance) to tumor necrosis factor inhibitors (TNFi). METHODS: Adults with active PsA (≥ 3 swollen joints, ≥ 3 tender joints) and IR to one or two TNFi (TNFi-IR) were randomized 2:1 to guselkumab at Weeks 0, 4, then every 8 weeks (Q8W) or placebo➔guselkumab Q8W at Week 24 with possible early escape at Week 16. Levels of serum cytokines, including interferon É£ (IFNÉ£), IL-10, and tumor necrosis factor α (TNFα); T helper 17 (Th17) effector cytokines IL-17A, IL-17F, and IL-22; and acute phase proteins C-reactive protein (CRP), IL-6, and serum amyloid A (SAA), were assessed and compared with matched healthy controls; guselkumab pharmacodynamics through Week 24 were also assessed. Associations between baseline biomarker levels and 1) baseline disease activity (28-joint disease activity score using CRP [DAS28-CRP], psoriasis area and severity index [PASI], and % body surface area [BSA] affected by psoriasis) and 2) clinical response (including ≥ 20% improvement in American College of Rheumatology criteria [ACR20] response) at Week 24 were assessed. RESULTS: Baseline serum levels of IL-6, IL-10, IL-17A, IL-17F, IL-22, TNFα, and IFNÉ£ were significantly higher in COSMOS TNFi-IR participants than in matched healthy controls. Baseline IL-6, CRP, and SAA levels were associated with baseline DAS28-CRP. IL-17A and IL-17F levels were associated with baseline PASI score and psoriasis BSA. Baseline swollen or tender joint counts did not associate with baseline biomarker levels. At Week 24, significant decreases from baseline in CRP, SAA, IL-17A, IL-17F, and IL-22 levels were seen in guselkumab, but not placebo-, treated participants. IL-17F and IL-22 levels at Week 24 in guselkumab-treated participants did not significantly differ from those of matched healthy controls. Guselkumab-treated participants achieving ACR20 response at Week 24 exhibited higher baseline IL-22 and IFNÉ£ levels versus nonresponders. CONCLUSIONS: Results from COSMOS participants with active, TNFi-IR PsA suggest guselkumab reduces levels of effector cytokines associated with the IL-23/IL-17 pathway, including those associated with baseline arthritis and skin disease activity. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03796858.

PsABIOnd Study and eDaily Substudy Design: Long-Term Effectiveness and Safety of Guselkumab and IL-17 Inhibitors in Routine Clinical Practice in Patients with Psoriatic Arthritis.

INTRODUCTION: Randomised clinical studies in psoriatic arthritis (PsA) do not always reflect patients in routine clinical practice. Large-scale data from routine practice are needed to better understand drug persistence, effectiveness and long-term safety of therapeutic agents. METHODS: PsABIOnd is an international, prospective, observational study designed to collect long-term routine care data in patients with PsA who receive guselkumab (an interleukin-23 [IL-23] inhibitor) or an interleukin-17 (IL-17) inhibitor. Adult patients (≥ 18 years) with a confirmed diagnosis of PsA who are starting guselkumab or any approved IL-17 inhibitor as a first, second, third or fourth line of PsA treatment and who provide written informed consent will be eligible to participate. Participants will be followed for a maximum of 36 months (+3 months) from the start of treatment. Study visits will occur in line with the standard of care, approximately every 6 months, plus an additional visit at 3 months after the start of treatment. eDaily by PsABIOnd - aneHealth substudy, will document the impact of these treatments on wellbeing and symptoms in a subgroup of participants over a 24-week (+4 weeks) observation period on treatment. PLANNED OUTCOMES: The primary objective of PsABIOnd is to evaluate treatment persistence with guselkumab and IL-17 inhibitors. Data sources will include validated electronic patient-reported outcomes (ePROs) and physician-completed assessments. Safety data will be collected through reporting adverse events. The eDaily by PsABIOnd substudy will use wearable and digital technologies for continuous activity and sleep monitoring, and frequent patient eDiary and ePRO collection to provide a more detailed and comprehensive picture of PsA. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT05049798.

Psoriatic arthritis (PsA) is a type of arthritis associated with inflammation that occurs in almost one-third of patients with the inflammatory skin condition psoriasis. PsA can vary between individuals, and typically causes joint pain, swelling and stiffness, affecting both physical and social well-being. Over the past decade, several new PsA treatments have become available. However, there is currently a lack of agreement about the best treatment options. As PsA is a chronic (long-term) disease, the duration of time a patient continues taking a prescribed treatment (termed "treatment persistence") is important. The randomised clinical trials used to determine if a treatment works use strict rules to select patients. Therefore, large studies from everyday practice are needed to better understand the effectiveness and safety of these PsA treatments for a wider range of patients. PsABIOnd is a real-life study that will compare guselkumab (an interleukin-23 inhibitor) and interleukin-17 inhibitors, which are two relatively new types of PsA treatments. The study will provide information about how long patients remain on these treatments and how effectively and safely they work over a 3-year period. PsABIOnd will also explore the impact of PsA on participants' lives by collecting information about their quality of life, disease activity and treatment satisfaction. In addition, participants also taking part in the eDaily by PsABIOnd substudy will wear a watch-like device and use a smartphone-based app to record measurements including activity, sleep, pain and well-being to give a detailed picture of PsA and its impact on patients' daily lives.

Identification of PsA phenotypes with machine learning analytics using data from two phase III clinical trials of guselkumab in a bio-naïve population of patients with PsA.

OBJECTIVES: Psoriatic arthritis (PsA) phenotypes are typically defined by their clinical components, which may not reflect patients' overlapping symptoms. This post hoc analysis aimed to identify hypothesis-free PsA phenotype clusters using machine learning to analyse data from the phase III DISCOVER-1/DISCOVER-2 clinical trials. METHODS: Pooled data from bio-naïve patients with active PsA receiving guselkumab 100 mg every 8/4 weeks were retrospectively analysed. Non-negative matrix factorisation was applied as an unsupervised machine learning technique to identify PsA phenotype clusters; baseline patient characteristics and clinical observations were input features. Minimal disease activity (MDA), disease activity index for psoriatic arthritis (DAPSA) low disease activity (LDA) and DAPSA remission at weeks 24 and 52 were evaluated. RESULTS: Eight clusters (n=661) were identified: cluster 1 (feet dominant), cluster 2 (male, overweight, psoriasis dominant), cluster 3 (hand dominant), cluster 4 (dactylitis dominant), cluster 5 (enthesitis, large joints), cluster 6 (enthesitis, small joints), cluster 7 (axial dominant) and cluster 8 (female, obese, large joints). At week 24, MDA response was highest in cluster 2 and lowest in clusters 3, 5 and 6; at week 52, it was highest in cluster 2 and lowest in cluster 5. At weeks 24 and 52, DAPSA LDA and remission were highest in cluster 2 and lowest in clusters 4 and 6, respectively. All clusters improved with guselkumab treatment over 52 weeks. CONCLUSIONS: Unsupervised machine learning identified eight PsA phenotype clusters with significant differences in demographics, clinical features and treatment responses. In the future, such data could help support individualised treatment decisions.

An Automatable Hydrogel Culture Platform for Evaluating Efficacy of Antibody-Based Therapeutics in Overcoming Chemoresistance.

The microenvironment plays a major role in conferring chemoresistance to cancer cells. In order to better inform clinical response to chemoresistance, preclinical models that recapitulate its hallmark features are needed to enable screening for resistance-specific therapeutic targets. A novel platform for seeding cancer cells in 3D hydrogels is presented utilizing derivatives of chitosan and alginate that, critically, is amenable to high throughput screening: cell seeding in hydrogels, media changes, dosing of anticancer compounds, and cell viability assays are all automated using a standard and commercially available liquid handling robot. Culture in these hydrogels elicits resistance in ovarian, lung, and prostate cancer cells to treatment by doxorubicin and paclitaxel. In correlation, proteomics analysis of SKOV3 cells cultured in 3D reveals enrichment of proteins associated with extreme drug resistance including HMOX1 and ALDH2. Subsequently, therapeutic antibodies targeted to tumor-associated antigens upregulated in 3D cultures are shown to have higher efficacy compared to 2D cultures. Collectively, this automated 3D cell culture platform provides a powerful tool with utility in identification of drugs that may overcome chemoresistance.

Absence of lymphangiogenesis in ductal breast cancer at the primary tumor site.

Solid evidence for a relationship between lymphangiogenesis and prognosis in human breast cancer is still lacking. Evidence for ongoing lymphangiogenesis in breast cancer is only provided by animal studies. In the present study we investigated lymphatic vessel density as well as the expression level of the lymphangiogenic factors VEGF-C and -D in a series of 121 ductal breast cancer tissues using immunohistochemical stainings. We found that in the primary tumors the lymphatic vessel density, as well as the expression of both VEGF-C and -D, did not relate to grade, tumor stage, progression or patient survival. Furthermore, in tumors in which lymphatic vessels were present, a Ki-67/podoplanin double staining indicated the absence of proliferating lymphatic endothelial cells. In contrast, we did find a correlation between intratumoral lymphatic vessel density inside the lymph node metastases and patient survival. Another parameter that revealed prognostic value was the presence of tumor cells within the lymphatic vessels. This parameter did predict survival in patients with an age below 63 only. Interestingly, expression of VEGF-D was found to be related to the presence of intralymphatic tumor cells.

3D cell culture systems modeling tumor growth determinants in cancer target discovery.

Phenotypic heterogeneity of cancer cells, cell biological context, heterotypic crosstalk and the microenvironment are key determinants of the multistep process of tumor development. They sign responsible, to a significant extent, for the limited response and resistance of cancer cells to molecular-targeted therapies. Better functional knowledge of the complex intra- and intercellular signaling circuits underlying communication between the different cell types populating a tumor tissue and of the systemic and local factors that shape the tumor microenvironment is therefore imperative. Sophisticated 3D multicellular tumor spheroid (MCTS) systems provide an emerging tool to model the phenotypic and cellular heterogeneity as well as microenvironmental aspects of in vivo tumor growth. In this review we discuss the cellular, chemical and physical factors contributing to zonation and cellular crosstalk within tumor masses. On this basis, we further describe 3D cell culture technologies for growth of MCTS as advanced tools for exploring molecular tumor growth determinants and facilitating drug discovery efforts. We conclude with a synopsis on technological aspects for on-line analysis and post-processing of 3D MCTS models.

Two-dimensional vs. three-dimensional in vitro tumor migration and invasion assays.

Motility and invasion are key hallmarks that distinguish benign from malignant tumors, enabling cells to cross tissue boundaries, disseminate in blood and lymph and establish metastases at distant sites. Similar properties are also utilized by activated endothelial cells during tumor-induced angiogenesis. It is now appreciated that these processes might provide a rich source of novel molecular targets with the potential for inhibitors to restrain both metastasis and neoangiogenesis. Such therapeutic strategies require assays that can rapidly and quantitatively measure cell movement and the ability to traverse physiological barriers. The need for high-throughput, however, must be balanced by assay designs that accommodate, as far as possible, the complexity of the in vivo tumor microenvironment. This chapter aims to give an overview of some commonly used migration and invasion assays to aid in the selection of a balanced portfolio of techniques for the rapid and accurate evaluation of novel therapeutic agents.

Molecular markers of response and resistance to EGFR inhibitors in head and neck cancers.

Receptor tyrosine kinases (RTK) are key targets for novel cancer therapeutics since they activate multiple oncogenic signalling pathways. Also, they are inherently 'druggable' due to their small ATP-dependent kinase domains (inhibitable by small molecules) and cell surface location which renders them accessible to monoclonal antibody-based therapies. The epidermal growth factor receptor (EGFR) is overexpressed in the majority of SCCHN cases and this review focuses primarily on the progress made in targeting the EGFR for the therapy of SCCHN by both small molecules and antibody-based therapies. We then discuss the overlapping and distinct molecular markers of response, innate or acquired resistance to each modality, and how these may be overcome. We also consider other RTKs overexpressed in this disease that may impact on responses and/or provide additional targets for combination therapy.

Tumor spheroid-based migration assays for evaluation of therapeutic agents.

Cell migration is a key hallmark of malignant cells that contributes to the progression of cancers from a primary, localized mass to an invasive and/or metastatic phenotype. Traditional methods for the evaluation of tumor cell migration in vitro generally employ two-dimensional (2D), homogeneous cultures that do not take into account tumor heterogeneity, three-dimensional (3D) cell-cell contacts between tumor and/or host cells or interactions with extracellular matrix proteins. Here we describe a 3D tumor spheroid-based migration assay which more accurately reflects the solid tumor microenvironment and can accommodate both extracellular matrix and host cell interactions. It is a rapid and highly reproducible 96-well plate-based technique and we demonstrate its utility for the evaluation of therapeutic agents/drugs with anti-migratory properties.

Epithelial-to-mesenchymal transition and cancer stem(-like) cells in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) is the 6th commonest cancer worldwide. Relapse, thought to involve cancer stem(-like) cells (CSCs), and the development of metastases are common and survival rates remain low. Epithelial-to-mesenchymal transition (EMT) is a key event in metastasis and increasing evidence suggests a link between EMT and CSCs. MicroRNAs regulate multiple cellular processes including EMT and have been implicated in a CSC phenotype. This review aims to highlight key events that are involved in EMT, discusses their relevance in HNSCC progression and metastasis and explores the possibility of targeting EMT as a novel therapy in HNSCC.