Comparative analysis of Herceptin N-Linked glycosylation by HILIC-FLD and LC-MS/MS methods.

Monoclonal antibodies like Herceptin play a pivotal role in modern therapeutics, with their glycosylation patterns significantly influencing their bioactivity. To characterize the N-glycan profile and their relative abundance in Herceptin, we employed two analytical methods: hydrophilic interaction chromatography with fluorescence detection (HILIC-FLD) for released glycans and liquid chromatography tandem mass spectrometry (LC-MS/MS) for glycopeptides. Our analysis included 21 European Union (EU)-Herceptin lots and 14 United States (US)-Herceptin lots. HILIC-FLD detected 25 glycan species, including positional isomers, revealing comparable chromatographic profiles for both EU and US lots. On the other hand, LC-MS/MS identified 26 glycoforms within the glycopeptide EEQYNSTYR. Both methods showed that a subset of glycans dominated the total abundance. Notably, EU-Herceptin lots with an expiration date of October 2022 exhibited increased levels of afucosylated and high mannose N-glycans. Our statistical comparisons showed that the difference in quantitative results between HILIC-FLD and LC-MS/MS is significant, indicating that the absolute quantitative values depend on the choice of the analytical method. However, despite these differences, both methods demonstrated a strong correlation in relative glycan proportions. This study contributes to the comprehensive analysis of Herceptin's glycosylation, offering insights into the influence of analytical methods on glycan quantification and providing valuable information for the biopharmaceutical industry.

Development of monoclonal antibodies for the detection of diuron in water and sugarcane and their application in immunochromatographic strips.

Diuron (DR) as a chemical herbicide persists in soil and water for a long time and causes extensive harm to humans. We have produced an excellent monoclonal antibody (mAb) with the ability to sensitively and specifically recognize DR in water and sugarcane samples. The semi-inhibitory concentration (IC50) of this mAb was 0.28 ng mL-1, and the limit of detection (LOD) was 0.07 ng mL-1. Based on the mAb, an immunochromatographic assay (ICA) strip was developed. The visual detection limits of the strip assay were estimated, and the critical values of DR in water and sugarcane samples were determined to be 5 and 10 ng mL-1, respectively, when assessed by the naked eye. The ICA strip was validated by HPLC-MS for water and sugarcane samples which had been spiked with DR. This ICA strip could be a useful tool for in-site and rapid detection of DR in water and sugarcane samples.

A concise review of bioanalytical methods of small molecule immuno-oncology drugs in cancer therapy.

Immuno-oncology (IO) is an emerging option to treat cancer malignancies. In the last two years, IO has accounted for more than 90% of the new active drugs in various therapeutic indications of oncology drug development. Bioanalytical methods used for the quantitation of various IO small molecule drugs have been summarized in this review. The most commonly used are HPLC and LC-MS/MS methods. Determination of IO drugs from biological matrices involves drug extraction from the biological matrix, which is mostly achieved by simple protein precipitation, liquid-liquid extraction and solid-phase extraction. Subsequently, quantitation is usually achieved by LC-MS/MS, but HPLC-UV has also been employed. The bioanalytical methods reported for each drug are briefly discussed and tabulated for easy access. Our review indicates that LC-MS/MS is a versatile and reliable tool for the sensitive, rapid and robust quantitation of IO drugs.

Stability of nivolumab in its original vials after opening and handing in normal saline bag for intravenous infusion.

OBJECTIVES: Nivolumab is an anti-programmed cell death-1 monoclonal antibody, approved for numerous indications in oncohaematological cancers. It is available as solution for infusion at 10 mg/ml. In accordance with the Summary of Product Characteristics (SmPCs), the product is stable for 24 h at 2-8 °C after dilution. However, to anticipate the needs and constraints related to the handling of the product, the aim was to obtain additional information that will contribute to the risk assessment in case of deviation. Potential changes in the stability of Opdivo® leftovers (10 mg/ml) and diluted nivolumab in normal saline solution (2 mg/ml) over a period exceeding 24 h, at different temperatures and after freezing/thawing cycles were studied. METHODS: Turbidimetry, Ultraviolet (UV)-spectroscopy, dynamic light scattering and chromatography were used to evaluate physicochemical stability. Potential pharmacological variations were monitored in vitro by a functional binding inhibition method. RESULTS: No change was detected after 1 month of storage at 2-8 °C neither after 7 days at 40 °C. Although slight changes were detected only after 3 months under 2-8 °C, major changes were found for the same period of time at 40 °C (variants in the distribution profile, slight increase in oligomers and fragments and UV spectral modifications). Physical instability was observed upon 3 freeze/thaw cycles, with the appearance of a new protein population associated with an increase in polydispersity index. CONCLUSION: In conclusion, our results provide additional rationale to the SmPCs, regarding the use of leftovers, reassignment of bags, pre-preparation or breaking the cold chain for Nivolumab.

Evaluation of Quantitative Relationship Between Target Expression and Antibody-Drug Conjugate Exposure Inside Cancer Cells.

Antibody-drug conjugates (ADCs) employ overexpressed cell surface antigens to deliver cytotoxic payloads inside cancer cells. However, the relationship between target expression and ADC efficacy remains ambiguous. In this manuscript, we have addressed a part of this ambiguity by quantitatively investigating the effect of antigen expression levels on ADC exposure within cancer cells. Trastuzumab-valine-citrulline-monomethyl auristatin E was used as a model ADC, and four different cell lines with diverse levels of human epidermal growth factor receptor 2 (HER2) expression were used as model cells. The pharmacokinetics (PK) of total trastuzumab, released monomethyl auristatin E (MMAE), and total MMAE were measured inside the cells and in the cell culture media following incubation with two different concentrations of ADC. In addition, target expression levels, target internalization rate, and cathepsin B and MDR1 protein concentrations were determined for each cell line. All the PK data were mathematically characterized using a cell-level systems PK model for ADC. It was found that SKBR-3, MDA-MB-453, MCF-7, and MDA-MB-468 cells had ∼800,000, ∼250,000, ∼50,000, and ∼10,000 HER2 receptors per cell, respectively. A strong linear relationship (R 2 > 0.9) was observed between HER2 receptor count and released MMAE exposure inside the cancer cells. There was an inverse relationship found between HER2 expression level and internalization rate, and cathepsin B and multidrug resistance protein 1 (MDR1) expression level varied slightly among the cell lines. The PK model was able to simultaneously capture all the PK profiles reasonably well while estimating only two parameters. Our results demonstrate a strong quantitative relationship between antigen expression level and intracellular exposure of ADCs in cancer cells. SIGNIFICANCE STATEMENT: In this manuscript, we have demonstrated a strong linear relationship between target expression level and antibody-drug conjugate (ADC) exposure inside cancer cells. We have also shown that this relationship can be accurately captured using the cell-level systems pharmacokinetics model developed for ADCs. Our results indirectly suggest that the lack of relationship between target expression and efficacy of ADC may stem from differences in the pharmacodynamic properties of cancer cells.

Conjugation Site Analysis of Lysine-Conjugated ADCs.

Lysine-conjugated antibody-drug conjugates (ADCs) are formed by attaching cytotoxic drugs to reactive lysine residues of monoclonal antibodies (mAbs) through chemical linkers. During production, the payloads are conjugated nonspecifically to lysine residues in mAbs, resulting in a heterogeneous mixture of ADCs with both different number and conjugation sites of drug payloads per mAb. On account of the drug conjugation sites and levels that both have significant influences on physical and pharmaceutical properties of ADCs, a reliable and straightforward approach for conjugation site analysis for ADCs is highly demanded. Herein, we used a lysine-conjugated ADC, Trastuzumab-MCC-DM1 (T-DM1), as a model ADC, and described an integrative strategy that combines the signature ion fingerprinting method for rapid and reliable filtering of DM1-conjugated peptides, and the normalized area quantitation approach for accurately gauging the conjugation levels for each identified site. This approach is believed to be readily applicable to other maytansinoid derivatives-modified ADCs, and more importantly, universally applicable to lysine-conjugated ADCs for both the recognition of conjugation sites and the measurement of conjugation levels.

Physical Stability Studies of Antibody-Drug Conjugates (ADCs) Under Stressed Conditions.

The conjugation of cytotoxic drugs to monoclonal antibodies (mAbs) generates heterogeneous drug load distribution. Antibody-drug conjugates (ADC) are physically less stable as compared to their parent molecule due to modifications made in order to link drugs to the interchain sulfhydryl groups of monoclonal antibodies. The conjugation of small molecule drugs to mAbs alters the physicochemical properties of mAbs and also impacts their degradation profile. The use of appropriate analytical tools to monitor physical stability changes is necessary to identify key product quality attributes such as aggregation. This chapter discusses suitable stress conditions and the use of stability indicating analytical methods to detect degradation products.

Native Reversed-Phase Liquid Chromatography: A Technique for LCMS of Intact Antibody-Drug Conjugates.

The synthesis of antibody-drug conjugates (ADCs) using the interchain cysteines of the antibody inherently gives a mixture of proteins with varying drug-to-antibody ratio. The drug distribution profiles of ADCs are routinely characterized by hydrophobic interaction chromatography (HIC). Because HIC is not in-line compatible with mass spectrometry (MS) due to the high salt levels, it is laborious to identify the constituents of HIC peaks. An MS-compatible alternative to HIC is reported here: native reversed phase liquid chromatography (nRPLC). This novel technique employs a mobile phase 50 mM ammonium acetate for high sensitivity in MS and elution with a gradient of water/isopropanol. The key to the enhancement is a bonded phase giving weaker drug-surface interactions compared to the noncovalent interactions holding the antibody-drug conjugates together. The hydrophobicity of the bonded phase is varied, and the least hydrophobic bonded phase in the series, poly(methyl methacrylate), is found to resolve the intact constituents of a model ADC (Ab095-PZ) and a commercial ADC (brentuximab vedotin) under the MS-compatible conditions. The nRPLC-MS data show that all species, ranging from drug-to-antibody ratios of 1 to 8, remained intact in the column. Another desired advantage of the nRPLC is the ability of resolving multiple positional isomers of ADC that are not well-resolved in other chromatographic modes. This supports the premise that lower hydrophobicity of the bonded phase is the key to enabling online nRPLC-MS analysis of antibody-drug conjugates.

Enzyme linked immunosorbent assay for the quantification of nivolumab and pembrolizumab in human serum and cerebrospinal fluid.

Immunotherapy with monoclonal antibodies targeting the programmed-death-1 (PD-1) receptor has become standard of care for an increasing number of tumor types. Pharmacokinetic studies may help to optimize anti-PD-1 therapy. Therefore, accurate and sensitive determination of antibody concentrations is essential. Here we report an enzyme linked immunosorbent assay (ELISA) capable of measuring nivolumab and pembrolizumab concentrations in serum and cerebrospinal fluid (CSF) with high sensitivity and specificity. The assay was developed and validated based on the specific capture of nivolumab and pembrolizumab by immobilized PD-1, with subsequent enzymatic chemiluminescent detection by anti-IgG4 coupled with horse radish peroxidase (HRP). The lower limit of quantification for serum and CSF was 2 ng/mL for both anti-PD-1 agents. The ELISA method was validated and showed long term sample stability of >1 year. This method is reliable, relatively inexpensive and can be used in serum and CSF from pembrolizumab and nivolumab treated patients.

A Novel Online Four-Dimensional SEC×SEC-IM×MS Methodology for Characterization of Monoclonal Antibody Size Variants.

The determination of size variants is a major critical quality attribute of a therapeutic monoclonal antibody (mAb that may affect the drug product safety, potency, and efficacy. Size variant characterization often relies on size-exclusion chromatography (SEC), which could be hampered by difficult identification of peaks. On the other hand, mass spectrometry (MS)-based techniques performed in nondenaturing conditions have proven to be valuable for mAb-related compound characterization. On the basis of the observation that limited SEC performance was observed in nondenaturing MS compatible ammonium acetate buffer compared with classical phosphate salts, a multidimensional analytical approach was proposed. It combines comprehensive online two-dimensional chromatography (SEC×SEC), with ion mobility and mass spectrometry (IM-MS) in nondenaturing conditions for the characterization of a variety of mAbs. We first exemplify the versatility of our approach for simultaneous detection, identification, and quantitation of adalimumab size variants. Benefits of the SEC×SEC-native IM×MS were further highlighted on forced degraded pembrolizumab and bevacizumab samples, for which the 4D setup was mandatory to obtain an extensive and unambiguous identification, and accurate quantitation of unexpected high/low molecular weight species (HMWS and LMWS). In this specific context, monomeric conformers were detected by IM-MS as HMWS or LMWS. Altogether, our results emphasize the power of comprehensive 2D LC×LC setups hyphenated to IM×MS in nondenaturing conditions with unprecedented performance including: (i) maintaining optimal SEC performance (under classical nonvolatile salt conditions), (ii) performing online native MS identification, and (iii) providing IM-MS conformational characterization of all separated size variants.

Evaluation of the selectivity and sensitivity of isoform- and mutation-specific RAS antibodies.

There is intense interest in developing therapeutic strategies for RAS proteins, the most frequently mutated oncoprotein family in cancer. Development of effective anti-RAS therapies will be aided by the greater appreciation of RAS isoform-specific differences in signaling events that support neoplastic cell growth. However, critical issues that require resolution to facilitate the success of these efforts remain. In particular, the use of well-validated anti-RAS antibodies is essential for accurate interpretation of experimental data. We evaluated 22 commercially available anti-RAS antibodies with a set of distinct reagents and cell lines for their specificity and selectivity in recognizing the intended RAS isoforms and mutants. Reliability varied substantially. For example, we found that some pan- or isoform-selective anti-RAS antibodies did not adequately recognize their intended target or showed greater selectivity for another; some were valid for detecting G12D and G12V mutant RAS proteins in Western blotting, but none were valid for immunofluorescence or immunohistochemical analyses; and some antibodies recognized nonspecific bands in lysates from "Rasless" cells expressing the oncoprotein BRAFV600E Using our validated antibodies, we identified RAS isoform-specific siRNAs and shRNAs. Our results may help to ensure the accurate interpretation of future RAS studies.

Analysis of therapeutic monoclonal antibody glycoforms by mass spectrometry for pharmacokinetics study.

Monoclonal antibodies (mAbs), are one of the most important protein drugs have attracted increasing attention. However, the pharmacokinetics of mAbs has not been fully investigated due to the complexity of protein drugs. Traditonal immuno-based approaches can not recognize the proteoforms of mAbs because of the long development cycles, prohibitive cost, and interactions between different proteins. Therefore, reliable qualitative and quantitative analysis of the proteoforms of mAbs in biological samples is of crucial importance. Herein, a novel method was developed for absolute quantitation of mAbs and their glycoforms in complex biological samples such as serum and tissues. With the combination of HILIC enrichment and parallel reaction monitoring by high resolution mass spectrometry, most of the glycoforms can be accurately quantified at the fmol level through the use of the model mAb of bevacizumab. More importantly, the structural confirmation can be achieved simultaneously without the need for additional experiments. This strategy can be readily applied to the pharmacokinetic study of glycosylation modification and biomarker discovery for clinical applications.

High-throughput identification of monoclonal antibodies after compounding by UV spectroscopy coupled to chemometrics analysis.

Monoclonal antibodies (mAbs) compounded into the hospital pharmacy are widely used nowadays. Their fast identification after compounding and just before administration to the patient is of paramount importance for quality control at the hospital. This remains challenging due to the high similarity of the structure between mAbs. Analysis of the ultraviolet spectral data of four monoclonal antibodies (cetuximab, rituximab, bevacizumab, and trastuzumab) using unsupervised principal component analysis led us to focus exclusively on the second-derivative spectra. Partial least squares-discriminant analysis (PLS-DA) applied to these data allowed us to build models for predicting which monoclonal antibody was present in a given infusion bag. The calibration of the models was obtained from a k-fold validation. A prediction set from another batch was used to demonstrate the ability of the models to predict well. PLS-DA models performed on the spectra of the region of aromatic amino acid residues presented high ability to predict mAb identity. The region corresponding to the tyrosine residue reached the highest score of good classification with 89 %. To improve the score, standard normal variate (SNV) preprocessing was applied to the spectral data. The quality of the optimized PLS-DA models was enhanced and the region from the tyrosine/tryptophan residues allowed us excellent classification (100 %) of the four mAbs according to the matrix of confusion. The sensitivity and specificity performance parameters assessed this excellent classification. The usefulness of the combination of UV second-derivative spectroscopy to multivariate analysis with SNV preprocessing demonstrated the unambiguous identification of commercially available monoclonal antibodies. Graphical abstract PLS-DA models on the spectra of the region of aromatic amino acid residues allows mAb identification with high prediction.