MétaCan
Menu
Retour à la cohorte
Enregistrement W2014141048 · doi:10.1111/j.1752-8062.2009.00121.x

Translational Medicine Lessons from Flurizan's Failure in Alzheimer's Disease (AD) Trial: Implication for Future Drug Discovery and Development for AD

2009· letter· en· W2014141048 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueClinical and Translational Science · 2009
Typeletter
Langueen
DomaineMedicine
ThématiqueCholinesterase and Neurodegenerative Diseases
Établissements canadiensWomen's Health Research Institute
Organismes subventionnairesnon disponible
Mots-clésDrug developmentDrug discoveryMedicineTranslational medicineDiseaseAlzheimer's diseaseClinical trialDrug trialTranslational researchDrugMEDLINEIntensive care medicinePharmacologyBioinformaticsInternal medicinePathologyBiology

Résumé

récupéré en direct d'OpenAlex

Alzheimer's disease (AD) is a progressive and fatal brain disease. According to the Alzheimer's Association, as many as 5.2 million people in the United States are living with AD and 10 million “baby boomers” are expected to develop the disease in their lifetime. AD is the sixth leading cause of death, and the direct and indirect costs of dementia amount to more than $148 billion each year (2008 Alzheimer's Disease Facts and Figures, Alzheimer's Association). Currently, there is no cure. To date, the U.S. Food and Drug Administration (FDA) has approved three cholinesterase inhibitors (donepezil, galantamine, and rivastigmine) and an N-methylD-aspartate (NMDA) receptor antagonist (memantine) that offer modest improvement in cognitive function in some individuals, but such treatments are often discontinued within 6 months because of inadequate efficacy and/or tolerability issues. Although treatments with the potential to modify the course of AD by affecting the underlying pathophysiology are rapidly evolving and several of them have entered advanced phases of human clinical trials, none has shown convincing clinical efficacy in a large pivotal trial. The recent announcement from Myriad Pharmaceuticals, Inc. (Salt Lake City, UT, USA) on June 30, 2008, that Flurizan (Tarenflurbil, MPC-7869) failed to demonstrate statistically significant efficacy in either of the co-primary endpoints in the phase III trial represents another high-profile failure in the pursuit of disease-modifying therapeutics for AD. It is believed that on the basis of this result, Myriad and partner Lundbeck decided to discontinue the development of Flurizan, including the ongoing international phase III trial, which was due to complete in October. This phase III trial followed 1,684 AD patients over an 18-month treatment period for a change in the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) score (a cognitive measure) and Alzheimer's Disease Cooperative Study-Activities of Daily Living Inventory (ACDS-ADL) score (a functional measure) relative to placebo as the efficacy endpoints. As this trial was powered to achieve statistical significance in a nonclinically significant change in the ADAS-Cog score, the failure confirms that Flurizan has no clinical effect beyond the standard of care (and placebo). Prior to Myriad's announcement, the most recent failure was tramiprosate (Alzhemed), developed by Neurochem (Laval, Quebec, Canada), which was supposed to act by binding soluble amyloid Aβ peptides. It was terminated in August 2007 again after a large phase III trial that included over 1,800 AD patients treated for 18 months showed no statistical significant difference b etween treatment and placebo groups in both primary efficacy endpoints of the ADAS-Cog and Disability Assessment for Dimentia (DAD). These two large clinical trials with compounds reputed for their antiamyloid mechanism of action were disappointing news to the AD community, especially for the patients and caregivers who are desperately waiting for a disease-modifying therapy that would offer some hope for disease slowing beyond the short-term symptomatic relief. In this commentary, we offer a translational medicine perspective on the choices made to select and develop these compounds for AD treatment. A close examination of the Flurizan case presented below could provide important insights and “lessons learned,” especially regarding the issues of evidence-based clinical decision making during the drug development program. This case study highlights the importance of appropriate and rigorous use of biomarkers in AD drug development. We take the position, based on our analysis and available literature, that these compounds are inadequate tools to fully investigate the role of amyloid pathways in AD. We further recommend a biomarker-driven roadmap that could be used at different stages to reduce the risk of development of innovative compounds based on a new mechanism of action in the AD program. It is widely recognized that today's environment for a new pharmaceutical development is increasingly challenging, particularly since many new targets are not as well validated. In response to this challenge, the pharmaceutical industry is increasingly using biomarkers as rationales and potentially cost-effective means of predicting potential success of novel therapeutics in drug discovery and development. Biomarkers can be employed to (1) understand the relevance of the drug target to human disease, (2) demonstrate drug-target interaction, (3) measure the consequences of target modulation (pharmacodynamic [PD] effects), (4) detect modulation of pathophysiological processes, and (5) optimize patient selection to detect medical benefits. The use of such evidence-based biomarkers can increase confidence during early development, improve the ability to prioritize clinical drug candidates across a broad portfolio, and yield better and more cost-effective advancement decisions.1–4 For convenience and to achieve a uniform lexicon, we group biomarkers into the following categories based on their intended use (Box): Target validation biomarkers provide scientific evidence on the role of the target in human diseases and its potential to be exploited in drug discovery and development campaigns. Target-compound interaction biomarkers provide evidence on the physical-chemical interaction of the drug with its intended target. PD biomarkers report on the biological consequences of drug action in the exposed organism or patient. These include biomarkers of efficacy and safety. Disease biomarkers report on disease severity, progression, and regression and could provide guidance as to whether a drug candidate has the potential to fundamentally alter or modify the disease process. Patient selection biomarkers provide information on those patients most likely to respond (or not respond) to the treatment. Such biomarkers provide an opportunity to stratify patients for risk of disease progression and potentially enable shorter trials with higher event rates and earlier outcome assessments. Box. Biomarkers: utilitarian classification. In the following sections, we examine the case of Flurizan with regard to these five criteria and discuss the potential value of biomarker in decision making. While the precise etiology and pathogenesis of AD are still unclear, the most convincing hypothesis postulates that the accumulation of Aβ peptide triggers the formation of amyloid plaques and neurofibrillary tangles with subsequent inflammation and brain atrophy5 (Figure 1). Rare, inherited forms of AD offer strong support for the role of Aβ in the pathogenesis of the disease. Mutations in either the precursor protein or the processing enzymes lead to Aβ accumulation and amyloid plaque and tangle formation.6,7 Despite the fact that the etiology of the disease in sporadic AD remains elusive, Aβ peptides and amyloid plaques also accumulate in these patients. Amyloid cascade hypothesis. Tremendous progress has been made in understanding the biological role of Aβ, including its production, clearance, and physiological impact on neuronal function and pathology. Multiple agents targeting this pathway, which are expected to further reduce Aβ production or clear amyloid plaques, are in various stages of clinical testing. The results of such ongoing clinical trials are expected to provide proof of concept (POC) for an Aβ-lowering mechanism as being sufficient to modify the disease course. Although clinical evidence of such amyloid-targeted therapeutics has not been demonstrated in a pivotal study to date, promising data have been recently emerging.8,9 Gaps in our understanding of Aβ as a drug target remain, and the tools currently available to study Aβ in its various forms are limiting. In vitro and animal studies indicate that soluble forms of Aβ aggregates rather than amyloid deposits are the neurotoxic species and these aggregates are difficult to measure, particularly in a clinical setting. Any measurement of soluble Aβ directly in the human brain is problematic, and although measurements in the cerebrospinal fluid (CSF) or plasma are feasible, their relationship to brain levels is confounded by the differences in the dynamic equilibrium between compartments and the rather ubiquitous expression of the amyloid precursor protein (APP) precursor and processing enzymes. Positron emission tomography (PET) is a promising method that has been used for the in vivo detection of Aβ plaque burden. However, longitudinal studies indicate that amyloid deposition precedes cognitive impairment by decades and correlates with memory loss only in the very mildest stages of AD or in normal elderly.10 The issues with validating antibody (Ab) as a drug target in AD patients and the inherent limitations of current biomarkers are not unique to Flurizan and relate to all Aβ-lowering agents. Flurizan is the pure R-enantiomer form of flurbiprofen—a nonsteroidal anti-inflammatory drug (NSAID) with 25 years of clinical experience behind it. Unlike classical NSAIDs, however, Flurizan is not an inhibitor of cyclooxygenase enzymes (COX-1 and COX-2).11 Based on in vitro cell-based assay results, Flurizan is proposed to be a selective Aβ42-lowering agent.12 The data generated to date suggest that Flurizan modulates, rather than inhibits, γ-secretase to preferentially reduce the generation of the longer toxic Aβ42peptide and favor the production of shorter, less toxic forms. As a selective Aβ42-lowering agent, Flurizan does this without affecting the processing of other essential γ-secretase substrates such as Notch, which provides an advantage over direct γ-secretase inhibitors. The exact nature of Flurizan's interaction with γ-secretase complex is not fully understood. One hypothesis is that NSAIDs, including Flurizan, specifically lower Aβ42 through an allosteric binding mechanism that alters the conformation of the presenilin complex.13,14 More recent data indicate that Flurizan does not interact with the enzyme subunits but directly binds to the APP substrate.12 The authors suggest that drug binding shifts the position of the APP precursor in the plane of the membrane to alter the γ-secretase cleavage site. Additionally, Flurizan might inhibit Aβ aggregation since the minimal binding site is the same domain that is involved in fibrilization. In cell-based systems expressing human APP containing the “Swedish” mutation, Flurizan demonstrated selective Aβ42-lowering activity. A 50% reduction in Aβ42was observed in human H4 neuroglioma cells at 100 μM using the ELISA method15 and a 40% reduction was observed at 250 μM in human embryonic kidney cells.16 Potency was not improved in a broken-cell model using membrane preparations derived from Chinese Hamster Ovary (CHO) cells to directly measure the inhibition of -γ-secretase in vivo11 and in vitro. Inhibitory concentration (IC) values for Aβ42-lowering activity have not been reported. In comparison, several γ-secretase inhibitors that entered clinical development, including GSI-95317 and LY-450139,18 have IC50 in the low nanomolar range. Taken together, the ambiguity and controversy regarding the direct target that Flurizan interacts with and the weak in vitro potency in reducing Aβ42 production represent significant knowledge gaps, which increase the risk assumed in further drug development. Assuming that the amyloid cascade is correct and the reduction of Aβ can slow or halt disease progression, it is still unclear how much Aβ42 inhibition is required for clinical efficacy Data from PDAPP transgenic animals that were backcrossed into β-site of APP cleaving enzyme (BACE) heterozygous knockout mice with a partial reduction of BACE leads to about 12% reduction of soluble total Aβ in brain tissues.19,20 However, this level of reduction in soluble Aβ results in a much more substantial reduction in amyloid plaque load as the animal ages. Similarly, it is possible that in AD patients, a chronic treatment strategy with moderate amyloid reduction might lead to a more substantial impact on amyloid plaque deposition and on the rate of disease progression. One line of evidence comes from the fact that Down's syndrome patients, who process 50% more amyloid precursor protein in brain tissue because of an additional copy of the APP gene on chromosome 21, often develop AD-like pathology in the third and fourth decades, some 20–30 years earlier than the onset of the sporadic form of the disease. Conversely, one might speculate that reducing Aβ levels for even less than 50% could lead to a substantial delay in disease onset and progression. When administered orally to transgenic Tg2576 mice, Flurizan lowered Aβ42 in the brain but lacked a dose-proportional response. A 3-day subchronic dosing regime at 10, 25, and 50 mg/kg/day produced 26% (p < 0.01), 60% (p < 0.001), and 34% (p < 0.001) reduction of brain Aβ42 levels, respectively. Plasma Aβ40 and Aβ42 levels were decreased by30–50% but lacked direct correlation with brain Aβ levels. The average drug levels for the brain (1.5, 2.6, and 2.5 μM) and plasma (83,117, and 78 μM) at 2 hours after dosing were reported for 10, 25, and 50 mg/kg/day, respectively.15 Thus, corresponding brain-to-plasma ratios were poor (approximately 0.02), perhaps explaining the unpredictable pharmacokinetics (PK)/PD relationship. At best, an exposure multiple of approximately 0.2 was obtained in the brain, in which the concentrations reached approximately 50-fold lower drug levels than the estimated in vitro IC50 value for Aβ42-lowering activity.21 Similar studies performed independently in Tg2576 mice unexpectedly failed to detect significant reductions of Aβ42 levels in the brain.22 Thus, the reported in vivo PK/PD data did not provide robust evidence for Flurizan's activity as a selective Aβ42-lowering agent. Although Flurizan was well tolerated in humans, phase I single-dose PK data demonstrate that the exposure was not dose-proportional and plasma drug levels ranged from 131 to 483 μM.15,23 When administered orally twice a day in healthy elderly volunteers, Flurizan demonstrated a half-life of 6–8 hours and Cmax of 158 and 185 μM were achieved at Tmax of 1–2 hours (based on 400 and 800 mg b.i.d.). Th e CSF-to-plasma ratio of Flurizan was approximately 0.5%.24 These two doses were later tested in the larger phase II and phase III trials. Based on the preclinical data described above and assuming a similar brainto-plasma ratio (approximately 0.2), brain drug levels of 2.6–9.7 μM would achieve exposure multiples of only 0.03–0.1. Although it has been reported that Flurizan displays minimal enantiomeric bioinversion in humans,23 it is possible that any bioinversion could have further added complexity in understanding the in vivo PK/PD relationship. As a small molecule candidate for a central nervous system (CNS) disease, Flurizan does not have an optimal brain penetration profile and it is possible that drug levels may not have achieved concentrations necessary for efficacy. More significant early warning signs were raised by a clinical study with healthy elderly subjects: treatment with Flurizan for 21 days did not results in significant Aβ42 reduction by ELISA in either the plasma or the When and levels in the treatment groups of mg 400 mg and 800 mg reductions in either Aβ42 or plasma Aβ42 were not and there was no evidence of selective modulation of Aβ as the proposed mechanism would even the same method did a in and in from cells treated with Flurizan in One of the study results, as the authors is that in the plasma and may not have been optimal and drug activity might have been In this only one was used for both and on day 21 of the study for both plasma and biomarker it has been reported that Aβ levels, especially in the can a on the of and within hours in the same it would be a more rigorous study to plasma and Aβ levels at multiple At this in clinical development, there is no clear evidence that Flurizan its target in human have been developed to measurement of both plasma and Aβ peptides and of the plasma and from healthy and AD patients is inhibitors have demonstrated a Aβ in the plasma in both healthy and AD of Aβ42 by a of means is a widely strategy for AD and compounds are development. In such biomarker evidence that a drug its target and can a biological response at be as an essential for a drug candidate substantial are and a larger of AD patients are exposed for a longer the of clinical efficacy most phase II trials are not powered to detect significant in the ADAS-Cog score or It is even more important at this phase of AD drug development to biomarkers to evidence of drug activity in the patient The most biomarkers that AD disease progression are for brain or It is that although these biomarkers have been shown by multiple groups to with the disease and disease how a would is not fully understood. with the required to AD trials to clinical efficacy and the risk of failure of disease it is to the risk of clinical development by including such biomarkers as early as The Flurizan phase II trial was a and study over a period that did not include any or biomarker Flurizan 400 mg or 800 mg did not statistical significance in reducing cognitive in for patients with statistical significance was reached in the two functional were other that the phase III study In the in patients with disease doses of the drug and higher drug concentrations were with better However, such are to be because of the small and the that patients in a less disease. The fact that Flurizan showed on and functional but not on cognitive was and as functional are often more than the ADAS-Cog score in AD clinical trials. In in the phase II trials patients with moderate disease for Flurizan and placebo patients who on the drug did not These could be as additional Flurizan's efficacy. As presented at the on Alzheimer's Disease the phase III study of Flurizan as was a and trial in with AD examination The 18-month study was to the potential effect of Flurizan on and function but did not include any or biomarker The treatment groups were well at placebo rates were as expected over the 18-month and were of the AD difference between placebo and treatment groups in clinical outcome very about the Flurizan's of efficacy. It is recognized that sporadic AD is not a disease but likely a complex of pathology and from the AD patient groups with a likely difference in the rate of and response to candidate treatment. While risk have been in AD patients, only the of the has been and the analysis of the is increasingly being into AD drug trials. protein has been proposed to be involved in and of amyloid peptides and have risk to develop AD at an earlier A analysis of did not a effect of Flurizan with placebo in the phase III study and further the of clinical AD patients have also been in clinical trials by disease severity, which may the drug response. For an Aβ-lowering it has been that more patients may a clinical or patient groups have been based on cognitive rather than or criteria or the rate of of a response to Flurizan in the from the analysis of the phase II data to Myriad's decision to modify its phase III study and on AD patients. In the of a whether this was a better strategy remains We a rigorous to AD treatments in of the and risk involved in the clinical of candidate A robust biomarker data is to the risk of and phase II and phase III trials. We that for agents with proposed Aβ-lowering a analysis be in and to the PK/PD relationship in compartments such as the and brain (Figure The direct measurement of Aβ and rate in and of human would offer a more direct of Aβ-lowering agents (Figure We also that in brain such as and by be into As the and more patient selection using amyloid might to select the most appropriate patients with amyloid pathology for studies in which both and amyloid species as well as amyloid deposition in the brain can be for activity. Such studies and a shorter treatment a on cognitive and functional endpoints is not drug activity on such and biomarkers would increase the confidence in the clinical development program. Conversely, the of convincing biomarker results a risk in further clinical testing. PK/PD analysis can be performed in multiple compartments across and rate of peptide can be in human from of an with an in and a in the was at a rate of for or hours after an of 2 Plasma are through the other line and through the in the and from an during a in the and plasma a level within an was an in levels after the of into the was at The average over hours from The were and the for each is shown for or from to or is no of the in the This is followed by an increase in which the levels of (approximately over the hours of the In the Flurizan phase III failure not have been A examination of the evidence to the study weak poor brain and a of target modulation in human or AD patients. to AD patients were exposed to an treatment in the phase III in the process. The strategy with Flurizan did not include sufficient risk and multiple clinical decision based on biomarker data could have been

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,596
Score d'incertitude au seuil0,950

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,099
Tête enseignante GPT0,405
Écart entre enseignants0,305 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle