Immunogenicity in Clinical Practice and Drug Development: When is it Significant?

Managing immunogenicity in clinical practice and during drug development was a recent topic at the ASCPT 2019 annual meeting. This commentary expands on the discussion to facilitate a broader engagement across the community. The intent is to provide a rationale for ongoing research into the current gaps in assessing and interpreting immunogenicity in drug development and managing clinical immunogenicity for an approved drug. The following are highlighted: (i) Immunogenicity Considerations in Clinical Practice, (ii) Immunogenicity Testing and Current Limitations, (iii) Immunogenicity Risk Assessment and Mitigation, and (iv) Quantitative Systems Pharmacology (QSP) models of Immunogenicity

Nivolumab and ipilimumab population pharmacokinetics in support of pediatric dose recommendations—Going beyond the body‐size effect

Abstract Body size has historically been considered the primary source of difference in the pharmacokinetics (PKs) of monoclonal antibodies (mAbs) between children aged greater than or equal to 2 years and adults. The contribution of age‐associated differences (e.g., ontogeny) beyond body‐size differences in the pediatric PKs of mAbs has not been comprehensively evaluated. In this study, the population PK of two mAbs (nivolumab and ipilimumab) in pediatric oncology patients were characterized. The effects of age‐related covariates on nivolumab or ipilimumab PKs were assessed using data from 13 and 10 clinical studies, respectively, across multiple tumor types, including melanoma, lymphoma, central nervous system tumors (CNSTs), and other solid tumors. Clearance was lower in pediatric patients (aged 1–17 years) with solid tumors or CNST than in adults after adjusting for other covariates, including the effect of body size. In contrast, clearance was similar in pediatric patients with lymphoma to that in adults with lymphoma. The pediatric effects characterized have increased the accuracy of the predictions of the model, facilitating its use in subsequent exposure comparisons between pediatric and adult patients, as well as for exposure–response analyses to inform pediatric dosing. This study approach may be applicable to the optimization of pediatric dosing of other mAbs and possibly other biologics

A Novel and Cost Effective Method of Removing Excess Albumin from Plasma/Serum Samples and Its Impacts on LC-MS/MS Bioanalysis of Therapeutic Proteins

We have developed an innovative method to remove albumin from plasma/serum samples for the LC-MS/MS quantitation of therapeutic proteins. Different combinations of organic solvents and acids were screened for their ability to remove albumin from plasma and serum samples. Removal efficiency was monitored by two signature peptides (QTA­LVE­LVK and LVN­EVT­EF­AK) from albumin. Isopropanol with 1.0% trichloroacetic acid was found to be the most effective combination to remove albumin while retaining the protein of interest. Our approach was compared with a commercial albumin depletion kit on both efficiency of albumin removal and recovery of target proteins. We have demonstrated that our approach can remove 95% of the total albumin in human plasma samples while retaining close to 100% for two of three therapeutic proteins tested, with the third one at 60–80%. The commercial kit removed 98% of albumin but suffered at least 50% recovery loss for all therapeutic proteins when compared to our approach. Using BMS-C as a probe compound, the incorporation of the albumin removal approach has improved both assay sensitivity and ruggedness, compared to the whole plasma protein digestion approach alone. An LC-MS/MS method was developed and validated based on this new approach for the analysis of BMS-C in monkey serum. This assay was successfully applied to a toxicological study. When the albumin removal method was used in another clinical LC-MS/MS method, the sensitivity improved 10-fold to 50 ng/mL LLOQ comparing to a typical pellet digestion method

Immunogenicity in Clinical Practice and Drug Development: When is it Significant?

Managing immunogenicity in clinical practice and during drug development was a recent topic at the ASCPT 2019 annual meeting. This commentary expands on the discussion to facilitate a broader engagement across the community. The intent is to provide a rationale for ongoing research into the current gaps in assessing and interpreting immunogenicity in drug development and managing clinical immunogenicity for an approved drug. The following are highlighted: (i) Immunogenicity Considerations in Clinical Practice, (ii) Immunogenicity Testing and Current Limitations, (iii) Immunogenicity Risk Assessment and Mitigation, and (iv) Quantitative Systems Pharmacology (QSP) models of Immunogenicity

Amino acid variant in the kinase binding domain of dual-specific A kinase-anchoring protein 2: A disease susceptibility polymorphism

The focus of human genetics in recent years has shifted toward identifying genes that are involved in the development of common diseases such as cancer, diabetes, cardiovascular diseases, and Alzheimer's disease. Because many complex diseases are late-onset, the frequencies of disease susceptibility alleles are expected to decrease in the healthy elderly individuals of the population at large because of their contribution to disease morbidity and/or mortality. To test this assumption, we compared allele frequencies of 6,500 single-nucleotide polymorphisms (SNPs) located in ≈5,000 genes between DNA pools of age-stratified healthy, European-American individuals. A SNP that results in an amino acid change from Ile to Val in the dual-specific A kinase-anchoring protein 2 (d-AKAP2) gene, showed the strongest correlation with age. Subsequent analysis of an independent sample indicated that the Val variant was associated with a statistically significant decrease in the length of the electrocardiogram PR interval. The Ile/Val SNP is located in the A-kinase-binding domain. An in vitro binding assay revealed that the Ile variant bound ≈3-fold weaker to the protein kinase A (PKA)-RIα isoform than the Val variant. This decreased affinity resulted in alterations in the subcellular distribution of the recombinantly expressed PKA-RIα isoform. Our study suggests that alterations in PKA-RIα subcellular localization caused by variation in d-AKAP2 may have a negative health prognosis in the aging population, which may be related to cardiac dysfunction. Age-stratified samples appear to be useful for screening SNPs to identify functional gene variants that have an impact on health