Novel ultrasensitive automated kinetic exclusion assay for measurement of plasma levels of soluble PD-L1, the predictive and prognostic biomarker in cancer patients treated with immune checkpoint inhibitors

被引:0
作者
Darwish, Ibrahim A. [1 ]
Alahmad, Waleed [2 ]
Vinoth, Rajendran [3 ,4 ]
机构
[1] King Saud Univ, Coll Pharm, Dept Pharmaceut Chem, POB 2457, Riyadh 11451, Saudi Arabia
[2] Chulalongkorn Univ, Fac Sci, Dept Chem, Bangkok 10330, Thailand
[3] Cent Electrochem Res Inst CECRI, Electrod & Electrocatalysis Div, CSIR, Karaikkudi 630003, Tamil Nadu, India
[4] Acad Sci & Innovat Res AcSIR, Ghaziabad 201002, India
关键词
Cancer; Predictive and prognostic biomarkers; PD-L1; Biosensor; KinExA; TUMOR-CELLS; IMMUNOASSAY; IMMUNOTHERAPY; BIOANALYSIS; ANTIBODY; LUNG;
D O I
10.1016/j.heliyon.2024.e31317
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recently, the blood plasma or serum levels of soluble programmed death protein 1 (PD -L1), but not tissue PD -L1 expression level, have been proposed as an effective predictive and prognostic biomarker in patients treated with immune checkpoint inhibitors for different types of cancers. The quantification of soluble PD -L1 in blood will provide a quick evaluation of patients ' immune status; however, the available assays have limitations in their sensitivity, reproducibility, and accuracy for use in clinical settings. To overcome these problems, this study was dedicated to developing an ultrasensitive automated flow -based kinetic exclusion assay (KinExA) for the accurate and precise measurement of soluble PD -L1 in plasma. The assay was developed with the assistance of KinExA TM 3200 biosensor. In this assay, PD -L1 in its calibrator or plasma sample solution was pre -equilibrated with anti -PD -L1 monoclonal antibody. The equilibrated mixture solution was then passed rapidly over PD -L1 protein that has been coated onto polymethylmethacrylate beads consolidated as a microcolumn in the observation cell of the KinExA TM biosensor. The free anti- PD -L1 antibody was bound to the immobilized PD -L1, however, the unbound molecules were removed from the beads microcolumn by flushing the system with phosphate -buffered saline. Fluorescein -labeled secondary antibody was passed rapidly over the beads, and the fluorescence signals were monitored during the flow of the labeled antibody through the beads. The calibration curve was generated by plotting the binding percentages as a function of PD -L1 concentrations in its sample solution. The working range of the assay with very a good correlation coefficient on a 4 -parameter equation (r = 0.9992) was 0.5 - 100 pg mL & horbar;1 . The assay limit of detection and quantitation were 0.15 and 0.5 pg mL & horbar;1 , respectively. The recovery values of plasma -spiked PD -L1 were in the range of 96.4 -104.3 % (+/- 3.7 -6.2 %). The precision of the assay was satisfactory; the values of the coefficient of variations did not exceed 6.2 % for both intra- and inter -day precision. The automated analysis by the proposed KinExA facilitates the processing of many specimens in clinical settings. The overall performance of the proposed KinExA is superior to the available assays for plasma levels of soluble PD -L1. The proposed assay is anticipated to have a great value in the measurement of PD -L1 where a more confident result is needed.
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页数:11
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  • [1] Automated flow fluorescent noncompetitive immunoassay for measurement of human plasma levels of monoclonal antibodies used for immunotherapy of cancers with KinExA™ 3200 biosensor
    AlRabiah, Haitham
    Hamidaddin, Mohammed A.
    Darwish, Ibrahim A.
    [J]. TALANTA, 2019, 192 : 331 - 338
  • [2] Plasma Levels of Soluble PD-L1 Correlate With Tumor Regression in Patients With Lung and Gastric Cancer Treated With Immune Checkpoint Inhibitors
    Ando, Kiyohiro
    Hamada, Kazuyuki
    Watanabe, Makoto
    Ohkuma, Ryotaro
    Shida, Midori
    Onoue, Rie
    Kubota, Yutaro
    Matsui, Hiroto
    Ishiguro, Tomoyuki
    Hirasawa, Yuya
    Ariizumi, Hirotsugu
    Tsurutani, Junji
    Yoshimura, Kiyoshi
    Tsunoda, Takuya
    Kobayashi, Shinichi
    Wada, Satoshi
    [J]. ANTICANCER RESEARCH, 2019, 39 (09) : 5195 - 5201
  • [3] Automated kinetic exclusion assays to quantify protein binding interactions in homogeneous solution
    Blake, RC
    Pavlov, AR
    Blake, DA
    [J]. ANALYTICAL BIOCHEMISTRY, 1999, 272 (02) : 123 - 134
  • [4] Interaction of PD-L1 on tumor cells with PD-1 on tumor-specific T cells as a mechanism of immune evasion: implications for tumor immunotherapy
    Blank, C
    Gajewski, TF
    Mackensen, A
    [J]. CANCER IMMUNOLOGY IMMUNOTHERAPY, 2005, 54 (04) : 307 - 314
  • [5] Biosensor applications in contaminated estuaries: Implications for disaster research response
    Camargo, Krisa
    Vogelbein, Mary Ann
    Horney, Jennifer A.
    Dellapenna, Timothy M.
    Knap, Anthony H.
    Sericano, Jose L.
    Wade, Terry L.
    McDonald, Thomas J.
    Chiu, Weihsueh A.
    Unger, Michael A.
    [J]. ENVIRONMENTAL RESEARCH, 2022, 204
  • [6] Development and Comparative Evaluation of Two Highly Sensitive Immunosensor Platforms for Trace Determination of Copper Ions in Drinking Water Using a Monoclonal Antibody Specific to Copper-EDTA Complex
    Darwish, Ibrahim A.
    Wang, Zongzhi
    Darling, Ryhan J.
    [J]. MOLECULES, 2023, 28 (20):
  • [7] Development of two highly sensitive and selective sensor-assisted fluorescence immunoassays for trace determination of copper residues in food samples
    Darwish, Ibrahim A.
    Wang, Zongzhi
    Darling, Ryhan J.
    Alzoman, Nourah Z.
    [J]. RSC ADVANCES, 2023, 13 (42) : 29195 - 29205
  • [8] Development of two different formats of heterogeneous fluorescence immunoassay for bioanalysis of afatinib by employing fluorescence plate reader and KinExA 3200 immunosensor
    Darwish, Ibrahim A.
    AlRabiah, Haitham
    Hamidaddin, Mohammed A.
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [9] Kinetic-exclusion analysis-based immunosensors versus enzyme-linked immunosorbent assays for measurement of cancer markers in biological specimens
    Darwish, Ibrahim A.
    Wani, Tanveer A.
    Alanazi, Amer M.
    Hamidaddin, Mohammed A.
    Zargar, Seema
    [J]. TALANTA, 2013, 111 : 13 - 19
  • [10] Biomarkers for Predicting Response to Immunotherapy with Immune Checkpoint Inhibitors in Cancer Patients
    Duffy, Michael J.
    Crown, John
    [J]. CLINICAL CHEMISTRY, 2019, 65 (10) : 1228 - 1238