journal article·2021-07-27

Targeted Intracellular Delivery of Trastuzumab Using Designer Phage Lambda Nanoparticles Alters Cellular Programs in Human Breast Cancer Cells

Alexis Catala, Monika Dzieciatkowska, Guankui Wang, Arthur Gutierrez-Hartmann, Dmitri Simberg, Kirk C. Hansen, Angelo D’Alessandro, Carlos E. Catalano

ACS Nano· Volume 15· Issue 7
Publisher page

Abstract

| Several diseases exhibit a high degree of heterogeneity and diverse reprogramming of cellular pathways. To address this complexity, additional strategies and technologies must be developed to define their scope and variability with the goal of improving current treatments. Nanomedicines derived from viruses are modular systems that can be easily adapted for combinatorial approaches, including imaging, biomarker targeting, and intracellular delivery of therapeutics. Here, we describe a “designer nanoparticle” system that can be rapidly engineered in a tunable and defined manner. Phage-like particles (PLPs) derived from bacteriophage lambda possess physiochemical properties compatible with pharmaceutical standards, and in vitro particle tracking and cell targeting are accomplished by simultaneous display of fluorescein-5-maleimide (F5M) and trastuzumab (Trz), respectively (Trz-PLPs). Trz-PLPs bind to the oncogenically active human epidermal growth factor receptor 2 (HER2) and are internalized by breast cancer cells of the HER2 overexpression subtype, but not by those lacking the HER2 amplification. Compared to treatment with Trz, robust internalization of Trz-PLPs results in higher intracellular concentrations of Trz, prolonged inhibition of cell growth, and modulated regulation of cellular programs associated with HER2 signaling, proliferation, metabolism, and protein synthesis. Given the implications to cancer pathogenesis and that dysregulated signaling and metabolism can lead to drug resistance and cancer cell survival, the present study identifies metabolic and proteomic liabilities that could be exploited by the PLP platform to enhance therapeutic efficacy. The lambda PLP system is robust and rapidly modifiable, which offers a platform that can be easily “tuned” for broad utility and tailored functionality.
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Research context

OpenAlex topics: Monoclonal and Polyclonal Antibodies Research · Bacteriophages and microbial interactions · Advanced Proteomics Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States

Program in Structural Biology and Biochemistry, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States

Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States

Departments of Biochemistry and Molecular Genetics and Medicine – Division of Endocrinology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States

Departments of Biochemistry and Molecular Genetics and Medicine – Division of Hematology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States

Funding

Division of Molecular and Cellular Biosciences · University of Colorado · Division of Graduate Education · National Institute of General Medical Sciences · National Heart, Lung and Blood Institute

References (93)

Show source-provided references
1. Knipe D. M. · 2007
2. Calendar, R.; Abedon, S. T.; Calendar, R.The Bacteriophages, 2nd ed. Oxford University Press, Inc.: New York, NY: 2006; p 746.10.1093/oso/9780195148503.001.0001 ↗
3. 10.4161/bact.2828110.4161/bact.28281 ↗
4. 10.3390/molecules1604308910.3390/molecules16043089 ↗
5. 10.1021/acsnano.5b0336010.1021/acsnano.5b03360 ↗
6. 10.15252/embr.20194880610.15252/embr.201948806 ↗
7. 10.1016/j.addr.2016.03.00310.1016/j.addr.2016.03.003 ↗
8. 10.1146/annurev-virology-100114-05514110.1146/annurev-virology-100114-055141 ↗
9. 10.1016/j.tibtech.2006.03.00310.1016/j.tibtech.2006.03.003 ↗
10. 10.1016/j.addr.2018.06.02510.1016/j.addr.2018.06.025 ↗
11. 10.1016/j.cbpa.2017.03.01310.1016/j.cbpa.2017.03.013 ↗
12. 10.1073/pnas.130086711010.1073/pnas.1300867110 ↗
13. 10.1099/jmm.0.2008/002873-010.1099/jmm.0.2008/002873-0 ↗
14. 10.1128/AAC.49.7.2874-2878.200510.1128/AAC.49.7.2874-2878.2005 ↗
15. 10.12968/jowc.2009.18.6.4280110.12968/jowc.2009.18.6.42801 ↗
16. 10.1016/j.copbio.2011.04.02010.1016/j.copbio.2011.04.020 ↗
17. 10.1002/bies.95005061110.1002/bies.950050611 ↗
18. 10.1042/ETLS2017000210.1042/ETLS20170002 ↗
19. 10.1021/bm401577f10.1021/bm401577f ↗
20. 10.1021/bm501164610.1021/bm5011646 ↗
21. 10.1016/j.heliyon.2017.e0040710.1016/j.heliyon.2017.e00407 ↗
22. 10.1007/s12026-017-8969-010.1007/s12026-017-8969-0 ↗
23. 10.1038/s41598-018-38371-z10.1038/s41598-018-38371-z ↗
24. 10.1038/srep1923410.1038/srep19234 ↗
25. 10.1021/nn101476910.1021/nn1014769 ↗
26. 10.1021/nn301134z10.1021/nn301134z ↗
27. 10.1021/nn300545z10.1021/nn300545z ↗
28. 10.1021/acs.biomac.8b0088510.1021/acs.biomac.8b00885 ↗
29. 10.1038/nchem.144210.1038/nchem.1442 ↗
30. 10.1021/la203866c10.1021/la203866c ↗
31. 10.1093/nar/gkw115410.1093/nar/gkw1154 ↗
32. 10.18632/oncotarget.363210.18632/oncotarget.3632 ↗
33. 10.1002/wnan.151710.1002/wnan.1517 ↗
34. 10.1016/j.jmb.2011.07.04510.1016/j.jmb.2011.07.045 ↗
35. 10.1016/j.jmb.2012.02.02010.1016/j.jmb.2012.02.020 ↗
36. 10.1016/j.str.2008.05.01610.1016/j.str.2008.05.016 ↗
37. 10.1016/j.jmb.2013.06.02610.1016/j.jmb.2013.06.026 ↗
38. 10.1007/s00253-014-5521-110.1007/s00253-014-5521-1 ↗
39. 10.3390/cells203059110.3390/cells2030591 ↗
40. 10.1016/S0149-2918(00)88288-010.1016/S0149-2918(00)88288-0 ↗
41. 10.3390/membranes403042410.3390/membranes4030424 ↗
42. 10.1155/2014/85274810.1155/2014/852748 ↗
43. 10.3389/fonc.2018.0008910.3389/fonc.2018.00089 ↗
44. 10.1056/NEJM20010315344110110.1056/NEJM200103153441101 ↗
45. Baselga J. · Cancer Res. · 1998 · 58 · 2825
46. 10.1016/j.cell.2019.08.02710.1016/j.cell.2019.08.027 ↗
47. 10.2147/BCTT.S17536010.2147/BCTT.S175360 ↗
48. 10.1016/j.ejpb.2015.03.01810.1016/j.ejpb.2015.03.018 ↗
49. 10.1016/j.ctrv.2013.09.00210.1016/j.ctrv.2013.09.002 ↗
50. 10.3389/fmicb.2019.0095410.3389/fmicb.2019.00954 ↗
51. 10.1021/bm301278f10.1021/bm301278f ↗
52. 10.1002/rcm.198710.1002/rcm.1987 ↗
53. 10.1007/s13238-016-0323-010.1007/s13238-016-0323-0 ↗
54. 10.1016/j.febslet.2010.04.01410.1016/j.febslet.2010.04.014 ↗
55. 10.1016/j.jmb.2019.09.02410.1016/j.jmb.2019.09.024 ↗
56. 10.7150/thno.2996410.7150/thno.29964 ↗
57. 10.2147/IJN.S21322910.2147/IJN.S213229 ↗
58. 10.1016/j.chembiol.2020.07.01010.1016/j.chembiol.2020.07.010 ↗
59. 10.3390/molecules2518428510.3390/molecules25184285 ↗
60. 10.1098/rsif.2018.036410.1098/rsif.2018.0364 ↗
61. 10.2147/IJN.S3611110.2147/IJN.S36111 ↗
62. 10.1007/s00216-018-1414-y10.1007/s00216-018-1414-y ↗
63. 10.1016/j.ab.2007.04.00710.1016/j.ab.2007.04.007 ↗
64. 10.1016/0022-1759(83)90303-410.1016/0022-1759(83)90303-4 ↗
65. 10.1074/jbc.TM118.00333710.1074/jbc.TM118.003337 ↗
66. 10.1007/s00018-008-8295-810.1007/s00018-008-8295-8 ↗
67. 10.3324/haematol.2017.17860810.3324/haematol.2017.178608 ↗
68. 10.1038/s12276-020-0375-310.1038/s12276-020-0375-3 ↗
69. 10.1016/S0006-3495(03)74696-710.1016/S0006-3495(03)74696-7 ↗
70. 10.4161/cbt.6.12.497910.4161/cbt.6.12.4979 ↗
71. 10.1073/pnas.040961010210.1073/pnas.0409610102 ↗
72. 10.1073/pnas.081205910610.1073/pnas.0812059106 ↗
73. 10.1016/j.molmed.2018.05.00310.1016/j.molmed.2018.05.003 ↗
74. 10.1097/PAP.000000000000001510.1097/PAP.0000000000000015 ↗
75. 10.1038/nrclinonc.2011.17710.1038/nrclinonc.2011.177 ↗
76. Kar A. · Anticancer Res. · 2017 · 37 · 6583
77. 10.3390/cancers1003007810.3390/cancers10030078 ↗
78. 10.1158/0008-5472.CAN-08-301410.1158/0008-5472.CAN-08-3014 ↗
79. 10.1128/MCB.19.10.684510.1128/MCB.19.10.6845 ↗
80. 10.1186/s40170-018-0175-610.1186/s40170-018-0175-6 ↗
81. 10.3389/fcell.2018.0011310.3389/fcell.2018.00113 ↗
82. 10.3390/cells802008910.3390/cells8020089 ↗
83. 10.1107/S205979831601004410.1107/S2059798316010044 ↗
84. 10.1073/pnas.150877911310.1073/pnas.1508779113 ↗
85. 10.3389/fimmu.2018.0169710.3389/fimmu.2018.01697 ↗
86. 10.1002/ijc.2407810.1002/ijc.24078 ↗
87. 10.1016/j.cell.2017.04.00110.1016/j.cell.2017.04.001 ↗
88. 10.1186/1748-717X-6-14810.1186/1748-717X-6-148 ↗
89. 10.1006/viro.2002.160210.1006/viro.2002.1602 ↗
90. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
91. 10.1007/s11306-018-1395-z10.1007/s11306-018-1395-z ↗
92. 10.1021/ac102116610.1021/ac1021166 ↗
93. 10.1093/nar/gky31010.1093/nar/gky310 ↗