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Targeting acute myeloid cell surface using a recombinant antibody isolated from whole-cell biopanning of a phage display human scFv antibody library

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Abstract

To discover new therapeutic antibodies for treatment of acute myeloid leukemia (AML) without the requirement of a known antigen, a human single-chain variable fragment (scFv) library was used to isolate novel antibody fragments recognizing HL-60 AML cells. After three rounds of biopanning, scFv-expressing phages were selected to test for binding to the target cell by flow cytometry. The clone with highest binding specificity to HL-60 cells (designated y1HL63D6) was further investigated. Fluorescent staining indicated that y1HL63D6 scFv bound to a target located on the cell surface. Whole immunoglobulin, IgG-y1HL63D6 was then generated and tested for the binding against bone marrow mononuclear cells (BMMCs) from AML patients. Significantly higher fluorescent signals were observed for some patient samples when compared to normal BMMCs or non-AML patients’ BMMCs. Next, the IgG-y1HL63D6 format was tested for antibody-dependent cell cytotoxicity (ADCC). The results demonstrated that IgG-y1HL63D6 but not the control antibody, trastuzumab, could mediate specific killing of HL-60 target cells. In conclusion, our results indicate that specific antibodies can be isolated by biopanning whole cells with a non-immunized human scFv antibody phage display library and that the isolated antibody against HL-60 cells showed therapeutic potential.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AML:

Acute myeloid leukemia

scFv:

Single-chain variable fragment

IgG:

Immunoglobulin G

VH:

Variable heavy

VL:

Variable light

HC:

Heavy chain

LC:

Light chain

BMMCs:

Bone marrow mononuclear cells

PBMCs:

Peripheral blood mononuclear cells

ADCC:

Antibody-dependent cell-mediated cytotoxicity

MFI:

Median fluorescent intensity

References

  1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30.

    Article  PubMed  Google Scholar 

  2. American cancer society. cancer facts & figures 2021. American Cancer Society. 2021. https://www.cancer.org/research/cancer-facts-statistics. Accessed 8 Mar 2022.

  3. Caron PC, et al. Biological and immunological features of humanized M195 (Anti-CD33) monoclonal antibodies. Cancer Res. 1992;52(24):6761.

    PubMed  CAS  Google Scholar 

  4. Bakker ABH, et al. C-Type Lectin-Like molecule-1: a novel myeloid cell surface marker associated with acute myeloid leukemia. Cancer Res. 2004;64(22):8443–50. https://doi.org/10.1158/0008-5472.CAN-04-1659.

    Article  PubMed  CAS  Google Scholar 

  5. Jin L, et al. Monoclonal antibody-mediated targeting of CD123, IL-3 receptor α chain, eliminates human acute myeloid leukemic stem cells. Cell Stem Cell. 2009;5(1):31–42. https://doi.org/10.1016/j.stem.2009.04.018.

    Article  PubMed  CAS  Google Scholar 

  6. Krupka, C., et al. Targeting CD157 in AML using a novel, Fc-engineered antibody construct. Oncotarget. 2017;8(22):35707–35717. https://doi.org/10.18632/oncotarget.16060

  7. Kantarjian H, et al. Acute myeloid leukemia: current progress and future directions. Blood Cancer J. 2021;11(2):41. https://doi.org/10.1038/s41408-021-00425-3.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Sidhu SS. Phage display in pharmaceutical biotechnology. Curr Opin Biotechnol. 2000;11(6):610–6. https://doi.org/10.1016/S0958-1669(00)00152-X.

    Article  PubMed  CAS  Google Scholar 

  9. Zhang, Y., et al. Prokaryotic expression of MLAA-34 and generation of a novel human ScFv against MLAA-34 by phage display technology. Oncotarget. 2017;8(24):39077–39086. https://doi.org/10.18632/oncotarget.16590

  10. Crepin R, et al. Whole-cell biopanning with a synthetic phage display library of nanobodies enabled the recovery of follicle-stimulating hormone receptor inhibitors. Biochem Biophys Res Commun. 2017;493(4):1567–72. https://doi.org/10.1016/j.bbrc.2017.10.036.

    Article  PubMed  CAS  Google Scholar 

  11. Yuan QA, et al. Isolation of anti-MISIIR scFv molecules from a phage display library by cell sorter biopanning. Cancer Immunol Immunother. 2008;57(3):367–78. https://doi.org/10.1007/s00262-007-0376-2.

    Article  PubMed  CAS  Google Scholar 

  12. Muraoka S, et al. Effective induction of cell death on adult T-cell leukaemia cells by HLA-DRbeta-specific small antibody fragment isolated from human antibody phage library. J Biochem. 2009;145(6):799–810. https://doi.org/10.1093/jb/mvp039.

    Article  PubMed  CAS  Google Scholar 

  13. Jones ML, et al. Targeting membrane proteins for antibody discovery using phage display. Sci Rep. 2016;6:26240. https://doi.org/10.1038/srep26240.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Drexler HG, et al. Leukemia cell lines: in vitro models for the study of acute promyelocytic leukemia. Leuk Res. 1995;19(10):681–91. https://doi.org/10.1016/0145-2126(95)00036-N.

    Article  PubMed  CAS  Google Scholar 

  15. Corcoran A, et al. Biological evaluation of double point modified analogues of 1,25-Dihydroxyvitamin D(2) as potential anti-leukemic agents. Int J Mol Sci. 2016;17(2):91. https://doi.org/10.3390/ijms17020091.

    Article  PubMed Central  CAS  Google Scholar 

  16. Li Q, et al. Subcellular localization of DJ-1 in human HL-60 leukemia cells in response to diallyl disulfide treatment. Mol Med Rep. 2016;14(5):4666–72. https://doi.org/10.3892/mmr.2016.5831.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Takahashi, N., et al. Retinoylation (covalent modification by retinoic acid) of Rho-GDIβ in the human myeloid leukemia cell line HL60 and its functional significance. Biochim Biophys Acta. 2016;1861(12, Part A):2011–2019. https://doi.org/10.1016/j.bbalip.2016.10.001

  18. Pansri P, Jaruseranee N, Rangnoi K, Kristensen P, Yamabhai M. A compact phage display human scFv library for selection of antibodies to a wide variety of antigens. BMC Biotechnol. 2009;9(1):6. https://doi.org/10.1186/1472-6750-9-6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Keller T, et al. Selection of scFv antibody fragments binding to human blood versus lymphatic endothelial surface antigens by direct cell phage display. PLoS ONE. 2015;10(5): e0127169. https://doi.org/10.1371/journal.pone.0127169.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Rangnoi K, et al. Binding characteristic of various antibody formats against aflatoxins. ACS Omega. 2021;6(39):25258–68. https://doi.org/10.1021/acsomega.1c03044.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Bühring HJ, et al. The receptor tyrosine kinase p185HER2 is expressed on a subset of B-lymphoid blasts from patients with acute lymphoblastic leukemia and chronic myelogenous leukemia. Blood. 1995;86(5):1916–23. https://doi.org/10.1182/blood.V86.5.1916.bloodjournal8651916.

    Article  PubMed  Google Scholar 

  22. van Rhenen A, et al. High stem cell frequency in acute myeloid leukemia at diagnosis predicts high minimal residual disease and poor survival. Clin Cancer Res. 2005;11(18):6520–7. https://doi.org/10.1158/1078-0432.CCR-05-0468.

    Article  PubMed  CAS  Google Scholar 

  23. Brian B, Eytan MS. Which are the most promising targets for minimal residual disease-directed therapy in acute myeloid leukemia prior to allogeneic stem cell transplant? Haematologica. 2019;104(8):1521–31. https://doi.org/10.3324/haematol.2018.208587.

    Article  CAS  Google Scholar 

  24. Dalton WT Jr, et al. HL-60 cell line was derived from a patient with FAB-M2 and not FAB-M3. Blood. 1988;71(1):242–7. https://doi.org/10.1182/blood.V71.1.242.242.

    Article  PubMed  Google Scholar 

  25. Mehdipour T, et al. Tailoring subtractive cell biopanning to identify diffuse gastric adenocarcinoma-associated antigens via human scFv antibodies. Immunology. 2020;159(1):96–108. https://doi.org/10.1111/imm.13129.

    Article  PubMed  CAS  Google Scholar 

  26. Hoogenboom HR, et al. Selection-dominant and nonaccessible epitopes on cell-surface receptors revealed by cell-panning with a large phage antibody library. Eur J Biochem. 1999;260(3):774–84. https://doi.org/10.1046/j.1432-1327.1999.00214.x.

    Article  PubMed  CAS  Google Scholar 

  27. Xu JL, Davis MM. Diversity in the CDR3 region of V(H) is sufficient for most antibody specificities. Immunity. 2000;13(1):37–45. https://doi.org/10.1016/S1074-7613(00)00006-6.

    Article  PubMed  CAS  Google Scholar 

  28. Lagunas-Rangel FA, et al. Acute myeloid leukemia-genetic alterations and their clinical prognosis. Int J Hematol Oncol Stem Cell Res. 2017;11(4):328–39.

    PubMed  PubMed Central  Google Scholar 

  29. Horibata S, et al. Heterogeneity in refractory acute myeloid leukemia. Proc Natl Acad Sci U S A. 2019;116(21):10494. https://doi.org/10.1073/pnas.1902375116.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Collignon A, et al. A chemogenomic approach to identify personalized therapy for patients with relapse or refractory acute myeloid leukemia: results of a prospective feasibility study. Blood Cancer J. 2020;10(6):64. https://doi.org/10.1038/s41408-020-0330-5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Chanput W, P.V., Wichers H. THP-1 and U937 Cells. In: The Impact of Food Bioactives on Health: in vitro and ex vivo models [Internet], C.P. Verhoeckx K, López-Expósito I, et al. Editor. Cham (CH): Springer; 2015. Chapter 14.

  32. Drexler HG, Matsuo Y, MacLeod RAF. Malignant hematopoietic cell lines: in vitro models for the study of erythroleukemia. Leuk Res. 2004;28(12):1243–51. https://doi.org/10.1016/j.leukres.2004.03.022.

    Article  PubMed  CAS  Google Scholar 

  33. Zotova A, Zotov I, Filatov A, Mazurov D. Determining antigen specificity of a monoclonal antibody using genome-scale CRISPR-Cas9 knockout library. J Immunol Methods. 2016;439:8–14. https://doi.org/10.1016/j.jim.2016.09.006.

    Article  PubMed  CAS  Google Scholar 

  34. Tabasinezhad M, Talebkhan Y, Wenzel W, Rahimi H, Omidinia E, Mahboudi F. Trends in therapeutic antibody affinity maturation: from in-vitro towards next-generation sequencing approaches. Immunol Lett. 2019;212:106–13. https://doi.org/10.1016/j.imlet.2019.06.009.

    Article  PubMed  CAS  Google Scholar 

  35. Park S, et al. Quantitative RT-PCR assay of HER2 mRNA expression in formalin-fixed and paraffin-embedded breast cancer tissues. Int J Clin Exp Pathol. 2014;7(10):6752–9.

    PubMed  PubMed Central  Google Scholar 

  36. Rangnoi K, et al. Enhancement and analysis of human antiaflatoxin B1 (AFB1) scFv antibody-ligand interaction using chain shuffling. J Agric Food Chem. 2018;66(22):5713–22. https://doi.org/10.1021/acs.jafc.8b01141.

    Article  PubMed  CAS  Google Scholar 

  37. Sompunga P, et al. Generation of human and rabbit recombinant antibodies for the detection of Zearalenone by phage display antibody technology. Talanta. 2019;201:397–405. https://doi.org/10.1016/j.talanta.2019.04.034.

    Article  PubMed  CAS  Google Scholar 

  38. Khaing, K.K., et al. Application of Recombinant Human scFv Antibody as a Powerful Tool to Monitor Nitrogen Fixing Biofertilizer in Rice and Legume. Microbiol Spectr. 2021;9(3):e0209421. https://doi.org/10.1128/Spectrum.02094-21

  39. Zahavi D, et al. Enhancing antibody-dependent cell-mediated cytotoxicity: a strategy for improving antibody-based immunotherapy. Antib Ther. 2018;1(1):7–12. https://doi.org/10.1093/abt/tby002.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Hassenrück F, et al. Sensitive detection of the natural killer cell-mediated cytotoxicity of anti-CD20 antibodies and its impairment by B-Cell receptor pathway inhibitors. Biomed Res Int. 2018;2018:1023490. https://doi.org/10.1155/2018/1023490.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Wang W, et al. NK cell-mediated antibody-dependent cellular cytotoxicity in cancer immunotherapy. Front Immunol. 2015;6:368–368. https://doi.org/10.3389/fimmu.2015.00368.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Fujiwara H, et al. Tissue-restricted T cell alloresponses across HLA barriers: selection and identification of leukemia-restricted CTL in HLA-mismatched stimulator–responder pairs. Bone Marrow Transpl. 2003;32(4):371–8. https://doi.org/10.1038/sj.bmt.1704142.

    Article  CAS  Google Scholar 

  43. Horowitz, A., et al. Genetic and environmental determinants of human NK cell diversity revealed by mass cytometry. Sci Transl Med. 2013;5(208):208ra145. https://doi.org/10.1126/scitranslmed.3006702

  44. Romain G, et al. Antibody Fc engineering improves frequency and promotes kinetic boosting of serial killing mediated by NK cells. Blood. 2014;124(22):3241–9. https://doi.org/10.1182/blood-2014-04-569061.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Vasu S, et al. Decitabine enhances anti-CD33 monoclonal antibody BI 836858-mediated natural killer ADCC against AML blasts. Blood. 2016;127(23):2879–89. https://doi.org/10.1182/blood-2015-11-680546.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank Miss Yuwadee Kitprasong, medical technologist at Sanphasitthiprasong hospital, for patient sample collection. We would also like to thank to all participants who volunteered for this study. We are in dept. of Prof. Dr. Pa-thai Yenchitsomanus from Siriraj Center of Research Excellence for Cancer Immunotherapy, Mahidol University, Thailand for several cell lines and grateful to MY lab members and KAC lab members for excellent technical assistances and advice.

Funding

This research was supported by Thailand Science Research and Innovation (TSRI) (TRF Senior Research grant number RTA6180012) and BIOTEC, the National Science and Technology Development Agency (NSTDA) (grant number P-18–50127), and Ministry of Higher Education, Science, Research and Innovation (MHESI) (grant number 256101A3040017). TS was co-supported by the Royal Golden Jubilee PhD program of Thailand (rgj.trf.or.th) and Suranaree University of Technology (www.sut.ac.th) [grant number PHD/0098/2553]. She also was supported by Newton Fund from British Council, as well as grants from MY Lab. MY was also supported by the Distinguished Research Professor Grant (NRCT 808/2563) of the National Research Council of Thailand.

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Thitima Sumphanapai performed the experiments, data collection, and writing of the initial draft. Surasak Sawatnatee provided patient samples and had a consultant/advisory role. Jenny Yeung conceived the experiments, supervised assay techniques, and revised the manuscript. Kerry Chester conceived the experiments and provided the critical review, commentary, and revision. Montarop Yamabhai conceived the experiments, conceptualization, supervision, edited the manuscript, and acquisition of the financial support for the project leading to this publication. All authors reviewed the manuscript.

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Correspondence to Montarop Yamabhai.

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The authors declare that they have no competing interests.

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The patient samples were collected under the approval of the Ethical Review Board of Sanphasitthiprasong hospital, Ubon Ratchathani, Thailand. The peripheral blood samples of healthy donors were obtained under the approval of the research ethics board of the Suranaree University of Technology, Nakhon Ratchasima, Thailand, in accordance with the Declaration of Helsinki.

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All samples analyzed in this study were obtained after informed consent of the donors.

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Sumphanapai, T., Chester, K., Sawatnatee, S. et al. Targeting acute myeloid cell surface using a recombinant antibody isolated from whole-cell biopanning of a phage display human scFv antibody library. Med Oncol 39, 205 (2022). https://doi.org/10.1007/s12032-022-01806-9

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