2013
DOI: 10.1016/j.jpba.2012.10.027
|View full text |Cite
|
Sign up to set email alerts
|

Correlation of screening and confirmatory results in tiered immunogenicity testing by solution-phase bridging assays

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
7
1

Relationship

3
5

Authors

Journals

citations
Cited by 23 publications
(12 citation statements)
references
References 18 publications
0
12
0
Order By: Relevance
“…This could be caused by conservative outlier exclusion during determination of assay cut points [71] and failure to differentiate between analytical and biological variability [72]. The use of non-orthogonal confirmatory assays can also contribute to excessive false positives [73,74].…”
Section: Immunogenicity Assays For Biosimilar Programsmentioning
confidence: 99%
“…This could be caused by conservative outlier exclusion during determination of assay cut points [71] and failure to differentiate between analytical and biological variability [72]. The use of non-orthogonal confirmatory assays can also contribute to excessive false positives [73,74].…”
Section: Immunogenicity Assays For Biosimilar Programsmentioning
confidence: 99%
“…Statistical procedures, particularly the outlier analysis, recommended for CP determination tend to reduce biological variability and may result in cut points that are very low and do not represent the entire population. It is expected that tiered testing should reduce the number of false positives; however, due to correlation of the screening and confirmatory responses, the tiered assays with low CP may generate a significant number of false positives [78]. It was agreed that it may be appropriate to evaluate setting up CP rules in the future to better differentiate the true positive samples, particularly for ultrasensitive assays.…”
Section: Issues In Cut Point Determination and Ada Assay Drug Tolerance And Sensitivitymentioning
confidence: 99%
“…To determine the SSCP for monoclonal antibodies using a small sample size with few or no repeats, one approach discussed was Rosner's multiple-outlier test for outlier identification. Also used were non-normal Bayesian hierarchical models (e.g., Johnson SU or skew-t) to separate biological and analytical variation, and then estimate the CP as a conservative low bound on a quantile of the posterior predictive distribution of future signals [78,82]. Although statistical methods for cut-point calculations have been discussed in several statistical and white papers in the last decade, less pronounced emphasis has been given to outlier detection approaches as a key component of cut-point determination.…”
Section: Issues With Dynamic Nab Biosimilar Cut Points and Outliersmentioning
confidence: 99%
“…As expected, screening cut points established using reagents stored in PBS (and containing aggregates) were much higher than those obtained with reagents stored in HSB (little or no aggregation) with the difference being approximately 4-fold for disease A population and almost 15-fold for disease B population. It should be noted that all cut point values were obtained after removal of statistical outliers following the customary procedures detailed in [ 15 , 16 ]. The elevated screening cut point values obtained with the PBS reagent preparations were caused by broadening of signal distributions in both disease A and disease B populations.…”
Section: Resultsmentioning
confidence: 99%
“…Confirmatory assay percent inhibition values were calculated as % Inhibition = 100% [1 − (Response in the presence of drug)/(Response in the absence of drug)]. The screening and confirmatory cut points were obtained with the respective false positive rates set to 5% and 1% using statistical methods described in detail elsewhere [ 15 , 16 ].…”
Section: Methodsmentioning
confidence: 99%