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Human epidermal growth factor receptor 2 (HER2) is an important biomarker for detection and treatment of breast cancer. In this study, we developed monoclonal antibodies against the extracellular domain (ECD) of HER2 and established a rapid and accurate lateral flow immunoassay (LFIA) for use in community medical institutions. The gene sequence of human HER2-ECD was obtained from the National Center for Biotechnology Information (NCBI) to construct the expression plasmid. HER2-ECD protein expressed in HEK293F cells was used to immunize BALB/c mice. The monoclonal antibodies were produced in mouse ascites and isolated by hybridoma cell screening. Antibodies were analyzed for purity by SDS-PAGE (sodium dodecyl sulphate-polyacrylamide gel-electrophoresis) and affinity was assessed by enzyme-linked immunosorbent assay (ELISA) while subtypes were detected using the commercial kits. The HER2-ECD test strip was prepared based on the sandwich method and evaluated using a portable detection instrument. The affinity of the paired antibodies, 4D8 and 8D9, both reached 1 × 108 L/mol. Both antibodies specifically recognized the HER2-ECD protein in serum. The limit of detection (LOD) of the gold nanoparticle (AuNP)-based LFIA was 1.7 ng/mL with a detection range of 1.7–400 ng/mL, and the performance of the HER2-ECD strip correlated well with that of a Siemens chemiluminescent immunoassay (CLIA) kit. In conclusion, the paired antibodies were successfully prepared with high affinity and specificity. The AuNP-based LFIA of HER2-ECD provides a fast and accurate method to detect the concentration of HER2-ECD in serum samples for clinical use in community medical institutions, and could contribute to determining the progress of the disease or the effectiveness of treatment.


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Quantitative assessment of the breast cancer marker HER2 using a gold nanoparticle-based lateral flow immunoassay

Show Author's information Liya YeXinxin XuAihua QuLiqiang LiuChuanlai XuHua Kuang( )
International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China

Abstract

Human epidermal growth factor receptor 2 (HER2) is an important biomarker for detection and treatment of breast cancer. In this study, we developed monoclonal antibodies against the extracellular domain (ECD) of HER2 and established a rapid and accurate lateral flow immunoassay (LFIA) for use in community medical institutions. The gene sequence of human HER2-ECD was obtained from the National Center for Biotechnology Information (NCBI) to construct the expression plasmid. HER2-ECD protein expressed in HEK293F cells was used to immunize BALB/c mice. The monoclonal antibodies were produced in mouse ascites and isolated by hybridoma cell screening. Antibodies were analyzed for purity by SDS-PAGE (sodium dodecyl sulphate-polyacrylamide gel-electrophoresis) and affinity was assessed by enzyme-linked immunosorbent assay (ELISA) while subtypes were detected using the commercial kits. The HER2-ECD test strip was prepared based on the sandwich method and evaluated using a portable detection instrument. The affinity of the paired antibodies, 4D8 and 8D9, both reached 1 × 108 L/mol. Both antibodies specifically recognized the HER2-ECD protein in serum. The limit of detection (LOD) of the gold nanoparticle (AuNP)-based LFIA was 1.7 ng/mL with a detection range of 1.7–400 ng/mL, and the performance of the HER2-ECD strip correlated well with that of a Siemens chemiluminescent immunoassay (CLIA) kit. In conclusion, the paired antibodies were successfully prepared with high affinity and specificity. The AuNP-based LFIA of HER2-ECD provides a fast and accurate method to detect the concentration of HER2-ECD in serum samples for clinical use in community medical institutions, and could contribute to determining the progress of the disease or the effectiveness of treatment.

Keywords: breast cancer, lateral flow immunoassay, monoclonal antibody, human epidermal growth factor receptor 2, quantitative

References(47)

[1]

Wieduwilt, M. J.; Moasser, M. M. The epidermal growth factor receptor family: Biology driving targeted therapeutics. Cell. Mol. Life Sci. 2008, 65, 1566–1584.

[2]

Yarden, Y.; Sliwkowski, M. X. Untangling the ErbB signalling network. Nat. Rev. Mol. Cell. Biol. 2001, 2, 127–137.

[3]

Slamon, D. J.; Clark, G. M.; Wong, S. G.; Levin, W. J.; Ullrich, A.; McGuire, W. L. Human breast cancer: Correlation of relapse and survival with amplification of the HER-2/ neu oncogene. Science 1987, 235, 177–182.

[4]

Akiyama, T.; Sudo, C.; Ogawara, H.; Toyoshima, K.; Yamamoto, T. The product of the human c- erbB-2 gene: A 185-kilodalton glycoprotein with tyrosine kinase activity. Science 1986, 232, 1644–1646.

[5]

Rubin, I.; Yarden, Y. The basic biology of HER2. Ann. Oncol. 2001, 12, S3–S8.

[6]

Ligibel, J. A. Could the women’s health initiative breathe new life into breast cancer prevention. J. Clin. Oncol. 2020, 38, 1375–1377.

[7]

Kamgar, M.; Assad, H.; Hastert, T. A.; McLaughlin, E.; Reding, K.; Paskett, E. D.; Bea, J. W.; Shadyab, A. H.; Neuhouser, M. L.; Nassir, R. et al. Peripheral neuropathy after breast cancer: An analysis of data from the women’s health initiative life and longevity after cancer cohort. J. Clin. Oncol. 2020, 38, e24093.

[8]

Papakonstantinou, A.; Nuciforo, P.; Borrell, M.; Zamora, E.; Pimentel, I.; Saura, C.; Oliveira, M. The conundrum of breast cancer and microbiome - a comprehensive review of the current evidence. Cancer Treat. Rev. 2022, 111, 102470.

[9]

Wolff, A. C.; Hammond, M. E. H.; Allison, K. H.; Harvey, B. E.; Mangu, P. B.; Bartlett, J. M. S.; Bilous, M.; Ellis, I. O.; Fitzgibbons, P.; Hanna, W. et al. Human epidermal growth factor receptor 2 testing in breast cancer: American society of clinical oncology/college of american pathologists clinical practice guideline focused update. Arch. Pathol. Lab. Med. 2018, 142, 1364–1382.

[10]

Xu, B.; Shen, J. G.; Guo, W. H.; Zhao, W. H.; Zhuang, Y. Y.; Wang, L. B. Impact of the 2018 ASCO/CAP HER2 guidelines update for HER2 testing by FISH in breast cancer. Pathol. Res. Pract. 2019, 215, 251–255.

[11]

Perez, E. A.; Cortés, J.; Gonzalez-Angulo, A. M.; Bartlett, J. M. S. HER2 testing: Current status and future directions. Cancer Treat. Rev. 2014 , 40, 276–284.

[12]

Shamshirian, A.; Aref, A. R.; Yip, G. W.; Ebrahimi Warkiani, M.; Heydari, K.; Razavi Bazaz, S.; Hamzehgardeshi, Z.; Shamshirian, D.; Moosazadeh, M.; Alizadeh-Navaei, R. Diagnostic value of serum HER2 levels in breast cancer: A systematic review and meta-analysis. BMC Cancer. 2020, 20, 1049.

[13]

Lam, L.; McAndrew, N.; Yee, M.; Fu, T.; Tchou, J. C.; Zhang, H. T. Challenges in the clinical utility of the serum test for HER2 ECD. Biochim. Biophys. Acta Rev. Cancer. 2012, 1826, 199–208.

[14]

Tsé, C.; Gauchez, A. S.; Jacot, W.; Lamy, P. J. HER2 shedding and serum HER2 extracellular domain: Biology and clinical utility in breast cancer. Cancer Treat. Rev. 2012 , 38, 133–142.

[15]

Alhalwani, A. Y.; Repine, J. E.; Knowles, M. K.; Huffman, J. A. Development of a sandwich ELISA with potential for selective quantification of human lactoferrin protein nitrated through disease or environmental exposure. Anal. Bioanal. Chem. 2018, 410, 1389–1396.

[16]

Moelans, C. B.; de Weger, R. A.; Van der Wall, E.; van Diest, P. J. Current technologies for HER2 testing in breast cancer. Crit. Rev. Oncol. Hematol. 2011, 80, 380–392.

[17]

Ahirwar, R. Recent advances in nanomaterials-based electrochemical immunosensors and aptasensors for HER2 assessment in breast cancer. Microchim. Acta 2021, 188, 317.

[18]

Lah, Z. M. A. N. H.; Ahmad, S. A. A.; Zaini, M. S.; Kamarudin, M. A. An electrochemical sandwich immunosensor for the detection of HER2 using antibody-conjugated PbS quantum dot as a label. J. Pharm. Biomed. Anal. 2019, 174, 608–617.

[19]

Freitas, M.; Nouws, H. P. A.; Keating, E.; Delerue-Matos, C. High-performance electrochemical immunomagnetic assay for breast cancer analysis. Sens. Actuators B Chem. 2020, 308, 127667.

[20]

Marques, R. C. B.; Viswanathan, S.; Nouws, H. P. A.; Delerue-Matos, C.; González-García, M. B. Electrochemical immunosensor for the analysis of the breast cancer biomarker HER2 ECD. Talanta 2014, 129, 594–599.

[21]

Chu, H. W.; Liu, C. H.; Liu, J. S.; Yang, J.; Li, Y. C.; Zhang, X. J. Recent advances and challenges of biosensing in point-of-care molecular diagnosis. Sens. Actuators B Chem. 2021, 348, 130708.

[22]

Yang, J. C.; Wang, K.; Xu, H.; Yan, W. Q.; Jin, Q. H.; Cui, D. X. Detection platforms for point-of-care testing based on colorimetric, luminescent and magnetic assays: A review. Talanta 2019, 202, 96–110.

[23]

Zhu, G. Y.; Yin, X. D.; Jin, D. L.; Zhang, B.; Gu, Y. Y.; An, Y. R. Paper-based immunosensors: Current trends in the types and applied detection techniques. Trends Analyt. Chem. 2019, 111, 100–117.

[24]

Mahmoudi, T.; de la Guardia, M.; Baradaran, B. Lateral flow assays towards point-of-care cancer detection: A review of current progress and future trends. Trends Analyt. Chem. 2020, 125, 115842.

[25]

Lou, D. D.; Fan, L.; Jiang, T.; Zhang, Y. Advances in nanoparticle-based lateral flow immunoassay for point-of-care testing. VIEW 2022, 3, 20200125.

[26]

Nguyen, V. T.; Song, S.; Park, S.; Joo, C. Recent advances in high-sensitivity detection methods for paper-based lateral-flow assay. Biosens. Bioelectron. 2020, 152, 112015.

[27]

Jiang, N.; Ahmed, R.; Damayantharan, M.; Ünal, B.; Butt, H.; Yetisen, A. K. Lateral and vertical flow assays for point-of-care diagnostics. Adv. Healthc. Mater. 2019, 8, 1900244.

[28]

Urusov, A. E.; Zherdev, A. V.; Dzantiev, B. B. Towards lateral flow quantitative assays: Detection approaches. Biosensors 2019, 9, 89.

[29]

Lu, Z. D.; O’Dell, D.; Srinivasan, B.; Rey, E.; Wang, R. S.; Vemulapati, S.; Mehta, S.; Erickson, D. Rapid diagnostic testing platform for iron and vitamin A deficiency. Proc. Natl. Acad. Sci. USA 2017, 114, 13513–13518.

[30]

Ye, L. Y.; Xu, L. G.; Kuang, H.; Xu, X. X.; Xu, C. L. Colloidal gold-based immunochromatographic biosensor for quantitative detection of S100B in serum samples. Nanoscale Horiz. 2023, 8, 1253–1261.

[31]

Ye, L. Y.; Xu, X. X.; Song, S. S.; Xu, L. G.; Kuang, H.; Xu, C. L. Rapid colloidal gold immunochromatographic assay for the detection of SARS-CoV-2 total antibodies after vaccination. J. Mater. Chem. B 2022, 10, 1786–1794.

[32]

Ye, L. Y.; Lei, X. L.; Xu, L. G.; Kuang, H.; Xu, C. L.; Xu, X. X. Gold nanoparticle-based immunochromatographic assay for the rapid detection of the SARS-CoV-2 Omicron variant. Mater. Chem. Front. 2023, 7, 4063–4072.

[33]

Guo, L. L.; Xu, X. X.; Zhao, J.; Hu, S. D.; Xu, L. G.; Kuang, H.; Xu, C. L. Multiple detection of 15 triazine herbicides by gold nanoparticle based-paper sensor. Nano Res. 2022, 15, 5483–5491.

[34]

Lei, X. L.; Xu, X. X.; Wang, L.; Zhou, W.; Liu, L. Q.; Xu, L. G.; Kuang, H.; Xu, C. L. A quadruplex immunochromatographic assay for the ultrasensitive detection of 11 anesthetics. Nano Res. 2023, 16, 11269–11277.

[35]

Zeng, L.; Xu, X. X.; Song, S. S.; Xu, L. G.; Liu, L. Q.; Xiao, J.; Xu, C. L.; Kuang, H. Synthesis of haptens and gold-based immunochromatographic paper sensor for vitamin B6 in energy drinks and dietary supplements. Nano Res. 2022, 15, 2479–2488.

[36]

Lei, X. L.; Xu, X. X.; Liu, L. Q.; Xu, L. G.; Wang, L.; Kuang, H.; Xu, C. L. Gold-nanoparticle-based multiplex immuno-strip biosensor for simultaneous determination of 83 antibiotics. Nano Res. 2023, 16, 1259–1268.

[37]

Yu, X. C.; McGraw, P. A.; House, F. S.; Crowe, J. E. An optimized electrofusion-based protocol for generating virus-specific human monoclonal antibodies. J. Immunol. Methods 2008, 336, 142–151.

[38]

Zeng, L.; Guo, L. L.; Wang, Z. X.; Xu, X. X.; Ding, H. L.; Song, S. S.; Xu, L. G.; Kuang, H.; Xu, C. L. Gold nanoparticle-based immunochromatographic assay for detection Pseudomonas aeruginosa in water and food samples. Food Chem. X 2021, 9, 100117.

[39]

Liu, J. J.; Cui, D. X.; Jiang, Y.; Li, Y. Y.; Liu, Z. X.; Tao, L.; Zhao, Q.; Diao, A. P. Selection and characterization of a novel affibody peptide and its application in a two-site ELISA for the detection of cancer biomarker alpha-fetoprotein. Int. J. Biol. Macromol. 2021, 166, 884–892.

[40]

Guliy, O. I.; Velichko, N. S.; Fedonenko, Y. P.; Bunin, V. D. Use of an electro-optical sensor and phage antibodies for immunodetection of Herbaspirillum. Talanta 2019, 202, 362–368.

[41]

Wang, Z. X.; Wu, X. L.; Liu, L. Q.; Xu, L. G.; Kuang, H.; Xu, C. L. An immunochromatographic strip sensor for sildenafil and its analogues. J. Mater. Chem. B 2019, 7, 6383–6389.

[42]

Lu, Q. Q.; Ding, H. L.; Liu, L. Q.; Xu, L. G.; Kuang, H.; Xu, C. L.; Guo, L. L. Immunochromatographic assay for rapid detection of flupyradifurone in grape, blueberry, and tomato samples. Food Chem. 2024, 433, 137328.

[43]

Liu, J.; Xu, X. X.; Wu, A. H.; Song, S. S.; Xu, L. G.; Xu, C. L.; Kuang, H.; Liu, L. Q. Immunochromatographic assay for the rapid and sensitive detection of etoxazole in orange and grape samples. LWT 2022, 163, 113519.

[44]

Han, H.; Wang, C. W.; Yang, X. S.; Zheng, S.; Cheng, X. D.; Liu, Z. Z.; Zhao, B. H.; Xiao, R. Rapid field determination of SARS-CoV-2 by a colorimetric and fluorescent dual-functional lateral flow immunoassay biosensor. Sens. Actuators B Chem. 2022, 351, 130897.

[45]

Wang, C. W.; Yang, X. S.; Zheng, S.; Cheng, X. D.; Xiao, R.; Li, Q. J.; Wang, W. Q.; Liu, X. X.; Wang, S. Q. Development of an ultrasensitive fluorescent immunochromatographic assay based on multilayer quantum dot nanobead for simultaneous detection of SARS-CoV-2 antigen and influenza A virus. Sens. Actuators B Chem. 2021, 345, 130372.

[46]

Zhou, S.; Peng, Y. L.; Hu, J.; Duan, H.; Ma, T. T.; Hou, L.; Li, X. M.; Xiong, Y. H. Quantum dot nanobead-based immunochromatographic assay for the quantitative detection of the procalcitonin antigen in serum samples. Microchem. J. 2020, 159, 105533.

[47]

Geistanger, A.; Braese, K.; Laubender, R. Automated data analytics workflow for stability experiments based on regression analysis. J. Mass. Spectrom Adv. Clin. Lab. 2022, 24, 5–14.

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Publication history
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Acknowledgements

Publication history

Received: 29 November 2023
Revised: 26 December 2023
Accepted: 03 January 2024
Published: 01 February 2024

Copyright

© Tsinghua University Press 2024

Acknowledgements

Acknowledgements

This work is financially supported by the National Natural Science Foundation of China (No. 22236002), and National Key R&D Program(Nos. 2023YFF1105003 and 2022YFA1207300).

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