2017
DOI: 10.4155/bio-2017-0184
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Immunogenicity and Biomarkers: Bioanalytical Challenges and Considerations

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Cited by 5 publications
(5 citation statements)
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“…This is an advantage since idiotype‐specific detection mAbs do not allow to distinguish between different drugs of the same idiotype. Further restrictions of this approach include anti‐drug antibodies (ADAs) which may bind to idiotypic therapeutic mAbs; this phenomenon can interfere with the readout [ 5 ]. We show that anti‐PGLALA‐PE specifically detects IgG 1 ‐PGLALA bound to immune cells.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…This is an advantage since idiotype‐specific detection mAbs do not allow to distinguish between different drugs of the same idiotype. Further restrictions of this approach include anti‐drug antibodies (ADAs) which may bind to idiotypic therapeutic mAbs; this phenomenon can interfere with the readout [ 5 ]. We show that anti‐PGLALA‐PE specifically detects IgG 1 ‐PGLALA bound to immune cells.…”
Section: Discussionmentioning
confidence: 99%
“…We show that anti‐PGLALA‐PE specifically detects IgG 1 ‐PGLALA bound to immune cells. Consequently, we propose that this would also be of advantage in situations where ADAs against therapeutic mAbs are formed [ 5 , 41 , 42 , 43 ]. Currently, a number of IgG 1 ‐PGLALA based bispecific antibodies, immunocytokines and antibody fusion proteins are in pre‐clinical or clinical development [ 24 , 44 , 45 , 46 , 47 , 48 , 49 ] requiring custom tailored PD biomarker assays.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, any of the product- or host-related impurities previously discussed, as well as raw materials used during the product’s manufacture and purification, can technically be considered a potential biomarker [ 85 ]. During method development, quantitative assays must be validated using appropriate controls and quantification must employ a standard curve of known analyte concentrations to determine the range of conditions under which appropriate levels of confidence can be attributed to the reproducibility and accuracy of the data [ 84 , 96 ]. Further, the validated assay must then demonstrate both sensitivity and specificity for the biomarker [ 84 ], such that the biomarker is correctly identified (i.e., true positive, sensitivity) at clinically relevant (ng/mL to pg/mL) concentrations [ 96 ] without also reacting to residual therapeutics or other impurities likely to be present within the therapeutic formulation (i.e., true negative, specificity).…”
Section: Methods For Iimi Detectionmentioning
confidence: 99%
“…During method development, quantitative assays must be validated using appropriate controls and quantification must employ a standard curve of known analyte concentrations to determine the range of conditions under which appropriate levels of confidence can be attributed to the reproducibility and accuracy of the data [ 84 , 96 ]. Further, the validated assay must then demonstrate both sensitivity and specificity for the biomarker [ 84 ], such that the biomarker is correctly identified (i.e., true positive, sensitivity) at clinically relevant (ng/mL to pg/mL) concentrations [ 96 ] without also reacting to residual therapeutics or other impurities likely to be present within the therapeutic formulation (i.e., true negative, specificity). Reduced sensitivity can result in mistakenly missing the presence of IIMIs in a formulation (i.e., false negative) resulting in possible dangerous clinical manifestations and immunogenicity, while reduced specificity can result in misidentification of inert compounds as IIMI (i.e., false positive) leading to incorrect quantification and product disposal rather than administration to patients.…”
Section: Methods For Iimi Detectionmentioning
confidence: 99%