Cited by 25

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Liver-targeting chimeras as a potential modality for the treatment of liver diseases

Chen, Chuanjie, Pan, Yongzhang, Yang, Xiaoyu, Li, Huiqin, Cai, Xinhui, He, Shengyuan, Wang, Qiong, Yang, Yiwen, Zheng, Runzi, Li, Huiwen, Yuan, Shengjie, Dong, Xin, Samarawickrama, Priyadarshani Nadeeshika, Zi, Meiting, He, Yonghan, Zhang, Xuan·2024·Journal of Controlled Release

Abstract

Liver diseases pose significant challenges to global public health. In the realm of drug discovery and development, overcoming 'on-target off-tissue' effects remains a substantial barrier for various diseases. In this study, we have pioneered a Liver-Targeting Chimera (LIVTAC) approach using a proteolysis-targeting chimera (PROTAC) molecule coupled to the liver-specific asialoglycoprotein receptor (ASGPR) through an innovative linker attachment strategy for the precise induction of target protein degradation within the liver. As a proof-of-concept study, we designed XZ1606, a mammalian bromodomain and extra-terminal domain (BET)-targeting LIVTAC agent, which not only demonstrated enduring tumor suppression (over 2 months) in combination with sorafenib but also an improved safety profile, notably ameliorating the incidence of thrombocytopenia, a common and severe on-target dose-limiting toxic effect associated with conventional BET inhibitors. These encouraging results highlight the potential of LIVTAC as a versatile platform for addressing a broad spectrum of liver diseases.

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Crossref · 10.1016/j.jconrel.2024.08.044

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  • LIVTACs conjugated with triantennary N-acetylgalactosamine (tri-GalNAc) enable selective delivery to hepatocytes via asialoglycoprotein receptor (ASGPR)-mediated endocytosis, increasing local drug concentration while reducing systemic exposure.

    “Liver-Targeting Chimeras (LIVTACs) conjugated with triantennary N-acetylgalactosamine (tri-GalNAc) enable selective delivery to hepatocytes via the asialoglycoprotein receptor (ASGPR)–mediated endocytosis, increasing local drug concentration while reducing systemic exposure”

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Research works printed but not linked: 41

  1. Asrani, 2019, Burden of liver diseases in the world, J. Hepatol., 70, 151, 10.1016/j.jhep.2018.09.014 · DOI · Paper page
  2. Williams, 2006, Global challenges in liver disease, Hepatology, 44, 521, 10.1002/hep.21347 · DOI · Paper page
  3. Llovet, 2023, Nonalcoholic steatohepatitis-related hepatocellular carcinoma: pathogenesis and treatment, Nat. Rev. Gastroenterol. Hepatol., 20, 487, 10.1038/s41575-023-00754-7 · DOI · Paper page
  4. Llovet, 2021, Hepatocellular carcinoma, Nat. Rev. Dis. Primers, 7, 6, 10.1038/s41572-020-00240-3 · DOI · Paper page
  5. Escudier, 2007, Sorafenib in advanced clear-cell renal-cell carcinoma, N. Engl. J. Med., 356, 125, 10.1056/NEJMoa060655 · DOI
  6. Finn, 2020, Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma, N. Engl. J. Med., 382, 1894, 10.1056/NEJMoa1915745 · DOI · Paper page
  7. Yang, 2023, Evolving therapeutic landscape of advanced hepatocellular carcinoma, Nat. Rev. Gastroenterol. Hepatol., 20, 203, 10.1038/s41575-022-00704-9 · DOI
  8. Delmore, 2011, BET Bromodomain inhibition as a therapeutic strategy to target c-Myc, Cell, 146, 904, 10.1016/j.cell.2011.08.017 · DOI
  9. Mertz, 2011, Targeting MYC dependence in cancer by inhibiting BET bromodomains, Proc. Natl. Acad. Sci. USA, 108, 16669, 10.1073/pnas.1108190108 · DOI
  10. Zhang, 2020, Targeting BET proteins with a PROTAC molecule elicits potent anticancer activity in HCC cells, Front. Oncol., 9, 1471, 10.3389/fonc.2019.01471 · DOI
  11. Zong, 2020, BRD4 levels determine the response of human lung Cancer cells to BET degraders that potently induce apoptosis through suppression of Mcl-1, Cancer Res., 80, 2380, 10.1158/0008-5472.CAN-19-3674 · DOI
  12. Zhang, 2020, The Long and the short of BRD4: two Tales in breast Cancer, Mol. Cell, 78, 993, 10.1016/j.molcel.2020.05.033 · DOI
  13. Dawson, 2011, Inhibition of BET recruitment to chromatin as an effective treatment for MLL-fusion leukaemia, Nature, 478, 529, 10.1038/nature10509 · DOI
  14. Rathert, 2015, Transcriptional plasticity promotes primary and acquired resistance to BET inhibition, Nature, 525, 543, 10.1038/nature14898 · DOI
  15. Doroshow, 2017, BET inhibitors: a novel epigenetic approach, Ann. Oncol., 28, 1776, 10.1093/annonc/mdx157 · DOI
  16. Chirnomas, 2023, Protein degraders enter the clinic — a new approach to cancer therapy, Nat. Rev. Clin. Oncol., 20, 265, 10.1038/s41571-023-00736-3 · DOI · Paper page
  17. Kabir, 2023, Chemically induced degradation of epigenetic targets, Chem. Soc. Rev., 52, 4313, 10.1039/D3CS00100H · DOI
  18. Guedeney, 2023, PROTAC technology: a new drug design for chemical biology with many challenges in drug discovery, Drug Discov. Today, 28, 10.1016/j.drudis.2022.103395 · DOI
  19. Spiess, 1990, The asialoglycoprotein receptor: a model for endocytic transport receptors, Biochemistry, 29, 10009, 10.1021/bi00495a001 · DOI
  20. Biessen, 2000, Novel hepatotrophic prodrugs of the antiviral nucleoside 9-(2-phosphonylmethoxyethyl)adenine with improved pharmacokinetics and antiviral activity, FASEB J., 14, 1784, 10.1096/fj.99-0887com · DOI
  21. Springer, 2018, GalNAc-siRNA conjugates: leading the way for delivery of RNAi therapeutics, Nucle. Acid Ther., 28, 109, 10.1089/nat.2018.0736 · DOI · Paper page
  22. Prakash, 2014, Targeted delivery of antisense oligonucleotides to hepatocytes using triantennary N-acetyl galactosamine improves potency 10-fold in mice, Nucleic Acids Res., 42, 8796, 10.1093/nar/gku531 · DOI
  23. Ahn, 2021, LYTACs that engage the asialoglycoprotein receptor for targeted protein degradation, Nat. Chem. Biol., 17, 937, 10.1038/s41589-021-00770-1 · DOI
  24. Ahn, 2023, Elucidating the cellular determinants of targeted membrane protein degradation by lysosome-targeting chimeras, Science, 382, eadf6249, 10.1126/science.adf6249 · DOI
  25. Zhang, 2015, BRD4 promotes tumor growth and epithelial-mesenchymal transition in hepatocellular carcinoma, Int. J. Immunopathol. Pharmacol., 28, 36, 10.1177/0394632015572070 · DOI
  26. Zengerle, 2015, Selective small molecule induced degradation of the BET bromodomain protein BRD4, ACS Chem. Biol., 10, 1770, 10.1021/acschembio.5b00216 · DOI · Paper page
  27. Chen, 2023, Recent advances in pro-PROTAC development to address on-target off-tumor toxicity, J. Med. Chem., 66, 8428, 10.1021/acs.jmedchem.3c00302 · DOI
  28. Fu, 2022, Antibody drug conjugate: the “biological missile” for targeted cancer therapy, Signal. Transduct. Target. Ther., 7, 93, 10.1038/s41392-022-00947-7 · DOI · Paper page
  29. Li, 2020, Proteolysis-targeting chimera (PROTAC) for targeted protein degradation and cancer therapy, J. Hematol. Oncol., 13, 1, 10.1186/s13045-020-00885-3 · DOI
  30. Nair, 2014, Multivalent N-acetylgalactosamine-conjugated siRNA localizes in hepatocytes and elicits robust RNAi-mediated gene silencing, J. Am. Chem. Soc., 136, 16958, 10.1021/ja505986a · DOI · Paper page
  31. Faivre, 2020, Selective inhibition of the BD2 bromodomain of BET proteins in prostate cancer, Nature, 578, 306, 10.1038/s41586-020-1930-8 · DOI · Paper page
  32. Collins, 2017, Translational modeling of drug-induced myelosuppression and effect of pretreatment myelosuppression for AZD5153, a selective BRD4 inhibitor, CPT Pharmacometrics Syst. Pharmacol., 6, 357, 10.1002/psp4.12194 · DOI
  33. Bruix, 2019, Insights into the success and failure of systemic therapy for hepatocellular carcinoma, Nat. Rev. Gastroenterol. Hepatol., 16, 617, 10.1038/s41575-019-0179-x · DOI
  34. Winkle, 2021, Noncoding RNA therapeutics—challenges and potential solutions, Nat. Rev. Drug Discov., 20, 629, 10.1038/s41573-021-00219-z · DOI · Paper page
  35. Dragovich, 2022, Degrader-antibody conjugates, Chem. Soc. Rev., 51, 3886, 10.1039/D2CS00141A · DOI
  36. Bargh, 2019, Cleavable linkers in antibody–drug conjugates, Chem. Soc. Rev., 48, 4361, 10.1039/C8CS00676H · DOI
  37. Lyon, 2015, Reducing hydrophobicity of homogeneous antibody-drug conjugates improves pharmacokinetics and therapeutic index, Nat. Biotechnol., 33, 733, 10.1038/nbt.3212 · DOI
  38. Hobson, 2023, Optimization of Drug-Linker to Enable Long-term Storage of Antibody–Drug Conjugate for Subcutaneous Dosing, J. Med. Chem., 66, 9161, 10.1021/acs.jmedchem.3c00794 · DOI
  39. Cerami, 2012, The cBio Cancer genomics portal: an open platform for exploring multidimensional Cancer genomics data, Cancer Discov., 2, 401, 10.1158/2159-8290.CD-12-0095 · DOI · Paper page
  40. He, 2020, Using proteolysis-targeting chimera technology to reduce navitoclax platelet toxicity and improve its senolytic activity, Nat. Commun., 11, 1996, 10.1038/s41467-020-15838-0 · DOI · Paper page
  41. Chabner, 2005, Timeline: chemotherapy and the war on cancer, Nat. Rev. Cancer, 5, 65, 10.1038/nrc1529 · DOI

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Metadata

Authors
Chen, C., Pan, Y., Yang, X., Li, H., Cai, X., He, S., Wang, Q., Yang, Y., Zheng, R., Li, H., Yuan, S., Dong, X., Samarawickrama, P. N., Zi, M., He, Y., & Zhang, X.
Venue
Journal of Controlled Release
Publisher
Elsevier BV
Published
2024-10
Volume
374
Pages
627-638
ISSN
0168-3659
Cited by
25
References
9
Language
en
Funders
  • National Natural Science Foundation of China (22277131, 8217155 8)
  • Chinese Academy of Sciences
  • National Key Research and Development Program of China (2023YFC3603300)

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