clinical trial experience
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2021 ◽  
Author(s):  
Rahul Banerjee ◽  
Mimi Lo ◽  
Thomas G Martin

The treatment of relapsed multiple myeloma remains challenging. Based on interim data from the randomized Phase III IKEMA study demonstrating a progression-free survival benefit with a combination of isatuximab (Isa, a CD38-targeted monoclonal antibody) and carfilzomib/dexamethasone (Kd) versus Kd alone, Isa-Kd recently received regulatory approval in the USA and Europe for patients with multiple myeloma who have received at least one prior line of therapy (in the USA, up to three prior lines). In this review we discuss the rationale and clinical trial experience to date with Isa-Kd. Although final IKEMA results are pending, Isa-Kd has emerged as an effective and tolerable therapy for patients with relapsed multiple myeloma. Given the growing number of antibody-containing triplet regimens in this setting, potential niches and limitations for Isa-Kd are also discussed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Michelle F. Huffaker ◽  
Srinath Sanda ◽  
Sindhu Chandran ◽  
Sharon A. Chung ◽  
E. William St. Clair ◽  
...  

The development of rational approaches to restore immune tolerance requires an iterative approach that builds on past success and utilizes new mechanistic insights into immune-mediated pathologies. This article will review concepts that have evolved from the clinical trial experience of the Immune Tolerance Network, with an emphasis on lessons learned from the innovative mechanistic studies conducted for these trials and new strategies under development for induction of tolerance.


2020 ◽  
Vol 17 (5) ◽  
pp. 1337-1345
Author(s):  
Yaron Shoham ◽  
Yuval Krieger ◽  
Guy Rubin ◽  
Ingo Koenigs ◽  
Bernd Hartmann ◽  
...  

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S568-S568
Author(s):  
Jason Moore ◽  
Sonia Pahwa ◽  
Zhixia Yan Danielsen ◽  
Philip Colangelo

Abstract Background Nonclinical (animal and in vitro) models are commonly used during the development of antibacterial drugs. Pharmacokinetic (PK) and pharmacodynamic (PD) data obtained from these nonclinical models are used to generate a PK-PD target, which can then be bridged to humans in a probability of PK-PD target attainment (PTA) analysis to support selection of the dose regimen for phase 3 trials and in vitro susceptibility testing criteria (breakpoints) to guide clinical usage. Methods Two recently approved tetracycline antibacterial drugs, eravacycline (ERV) and omadacycline (OMD), were evaluated. PK-PD data from nonclinical models and clinical microbiological response were collected from each of the respective clinical pharmacology reviews and assessments published by FDA and EMA, respectively. The highest MICs (minimum inhibitory concentrations) reflecting 80% success in the ability of the drug to inhibit growth in the target bacteria were identified from clinical and nonclinical data and termed the MIC cutoff. The nonclinical MIC cutoff was obtained from the PTA analysis using the PK-PD targets from animal studies. The clinical MIC cutoff was obtained from microbiological response (microbiological intent-to-treat population) data from clinical trial experience. The ratios of the clinical and nonclinical MIC cutoffs were calculated and used to evaluate potential discrepancies between the animal model prediction and clinical trial experience. Results The drug development programs for ERV and OMD included murine infection models and in vitro models to characterize PK-PD. The clinical to nonclinical MIC cutoff ratios ranged from 4 to 32. Higher values of the MIC cutoff signify that the drug can treat larger proportions of the bacterial population; therefore, high clinical to nonclinical MIC cutoff ratios signify that the drugs had more activity in reducing the bacterial population in clinical than in nonclinical studies. Conclusion Thus, the nonclinical models for ERV and OMD under-predicted microbiological response and breakpoints. While nonclinical models are generally useful, more characterization of translational factors may be needed to allow nonclinical models to be more predictive of clinical trial outcomes. Disclosures All authors: No reported disclosures.


2019 ◽  
Author(s):  
Thomas J. Songer ◽  
Morey W. Haymond ◽  
Judith E. Glazner ◽  
Georgeanna J. Klingensmith ◽  
Lori M. Laffel ◽  
...  

Open Heart ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e000960 ◽  
Author(s):  
Tara L Jones ◽  
Kenta Nakamura ◽  
James M McCabe

Cardiogenic shock (CS) is a complex and highly morbid entity conceptualised as a vicious cycle of injury, cardiac and systemic decompensation, and further injury and decompensation. The pathophysiology of CS is incompletely understood but limited clinical trial experience suggests that early and robust support of the failing heart to allow for restoration of systemic homoeostasis appears critical for survival. We review the pathophysiology, clinical features and trial data to construct a contemporary model of CS as a systemic process characterised with maladaptive compensatory mechanisms requiring prompt and appropriately tailored medical and mechanical support for optimal outcomes. We conclude with an algorithmic approach to acute CS incorporating clinical and haemodynamic data to match the patient’s cardiac and systemic needs as a template for contemporary management.


2018 ◽  
Vol 105 (1) ◽  
pp. 31-37
Author(s):  
Britt Rudnas ◽  
Emanuela Montanari ◽  
Monia Dall’Agata ◽  
Elisabetta Petracci ◽  
Oriana Nanni

Introduction: Patients’ awareness of clinical research and their involvement in clinical trials is of great importance, but it is difficult to estimate the extent of knowledge on the research being undertaken. Methods: We evaluated the level of knowledge about clinical research using a self-reporting survey distributed to 967 adult patients with cancer attending the Departments of Medical Oncology and Onco-Haematology Units of IRST IRCCS and 4 hospitals in the region of Emilia-Romagna, Italy. The questionnaire was composed of 10 specific items on research knowledge. Patients responding correctly to at least 8 of the 10 items were considered to have a good understanding of clinical research. Results: The questionnaire was completed by 769 patients (response rate 79.5%). Only 19% of patients were found to have a good understanding of clinical research. Patients with higher education and those who had previous clinical trial experience showed a significantly better understanding. Fifty-three percent of patients said that they would be willing to participate in a trial studying a new drug and 75% expressed an interest in taking part in informative meetings/events about clinical studies. Conclusions: Our results show that patients’ understanding of clinical research is limited and highlight an interest in learning more.


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