Rationally Designed Antibody Drug Conjugates Targeting the Breast Cancer-Associated Endothelium
Source abstract
Abstract
The promise of antiangiogenic therapy for the treatment of breast cancer has been limited by the inability to selectively disrupt the established tumor vasculature. Here, we report the development of rationally designed antibody drug conjugates (ADCs) that can selectively recognize and attack breast tumor-associated endothelial cells (BTECs), while sparing normal endothelial cells (NECs). We first performed a quantitative and unbiased screening of a panel of cancer-related antigens on human BTECs and identified CD105 as the optimal ADC target on these cells. We then used clinically approved ADC linkers and cytotoxic drugs to engineer two CD105-targeted ADCs: CD105-DM1 and CD105-MMAE and evaluated their in vitro efficacy in human BTECs and NECs. We found that both CD105-DM1 and CD105-MMAE exhibited highly potent and selective cytotoxicity against BTECs with IC50 values of 3.2 and 3.7 nM, respectively, significantly lower than their IC50 values on NECs (8–13 fold). Our proof-of-principle study suggests that CD105-targeted ADCs are promising antiangiogenic agents that have the potential to be used to inhibit the established tumor vasculature of breast tumors in a safe and precise manner.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Angiogenesis and VEGF in Cancer · Cell Adhesion Molecules Research · Chemokine receptors and signaling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Vascular Biology Program, Boston Children’s Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, United States
Department of Surgery, Harvard Medical School and Boston Children’s Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, United States
Funding
Breast Cancer Research Foundation · the Karp Family Foundation · The Goodman, Sylvetsky, and Kaplan Families
References (54)
Show source-provided references
1. 10.3322/caac.2155110.3322/caac.21551 ↗
2. 10.1016/S0140-6736(05)66544-010.1016/S0140-6736(05)66544-0 ↗
3. 10.1200/JCO.2008.19.984410.1200/JCO.2008.19.9844 ↗
4. 10.1081/CNV-12001488310.1081/CNV-120014883 ↗
5. 10.1186/s12885-016-2385-z10.1186/s12885-016-2385-z ↗
6. 10.1016/j.jconrel.2012.04.01410.1016/j.jconrel.2012.04.014 ↗
7. 10.1038/nrc145610.1038/nrc1456 ↗
8. 10.1038/natrevmats.2016.1410.1038/natrevmats.2016.14 ↗
9. 10.1021/acsnano.5b0132410.1021/acsnano.5b01324 ↗
10. 10.1002/smll.20130362710.1002/smll.201303627 ↗
11. 10.1007/3-7643-7378-4_1010.1007/3-7643-7378-4_10 ↗
12. 10.1007/s11912-996-0008-610.1007/s11912-996-0008-6 ↗
13. 10.1093/jnci/djj06810.1093/jnci/djj068 ↗
14. 10.1016/S0092-8674(00)80108-710.1016/S0092-8674(00)80108-7 ↗
15. 10.1073/pnas.97.8.388410.1073/pnas.97.8.3884 ↗
16. 10.1038/nm.253710.1038/nm.2537 ↗
17. 10.1038/nrc362810.1038/nrc3628 ↗
18. 10.1038/nrc.2017.610.1038/nrc.2017.6 ↗
19. 10.1016/j.ccell.2014.10.00610.1016/j.ccell.2014.10.006 ↗
20. 10.1126/science.aau986110.1126/science.aau9861 ↗
21. 10.1126/science.aar480010.1126/science.aar4800 ↗
22. 10.1016/j.ccell.2016.11.01010.1016/j.ccell.2016.11.010 ↗
23. 10.1146/annurev-physiol-021115-10513410.1146/annurev-physiol-021115-105134 ↗
24. 10.1007/s12272-018-01102-z10.1007/s12272-018-01102-z ↗
25. 10.2307/357278310.2307/3572783 ↗
26. 10.1016/j.ccell.2017.03.00510.1016/j.ccell.2017.03.005 ↗
27. 10.1158/1538-7445.AM2018-290010.1158/1538-7445.AM2018-2900 ↗
28. 10.1038/nm.253710.1038/nm.2537 ↗
29. 10.1016/j.mvr.2007.05.00310.1016/j.mvr.2007.05.003 ↗
30. 10.1038/nrc286810.1038/nrc2868 ↗
31. 10.1136/bmj.d424410.1136/bmj.d4244 ↗
32. 10.1126/sciadv.aav501010.1126/sciadv.aav5010 ↗
33. 10.1038/s41598-019-42643-710.1038/s41598-019-42643-7 ↗
34. 10.1021/acs.nanolett.7b0480110.1021/acs.nanolett.7b04801 ↗
35. 10.1016/j.jconrel.2017.03.03010.1016/j.jconrel.2017.03.030 ↗
36. 10.1158/0008-5472.CAN-16-191110.1158/0008-5472.CAN-16-1911 ↗
37. Nassiri F. · Anticancer Res. · 2011 · 31 · 2283
38. 10.1007/s00018-015-2099-410.1007/s00018-015-2099-4 ↗
39. 10.1016/j.placenta.2013.10.02010.1016/j.placenta.2013.10.020 ↗
40. 10.1002/eji.183022021610.1002/eji.1830220216 ↗
41. 10.1242/jcs.14364410.1242/jcs.143644 ↗
42. 10.1371/journal.pgen.100593510.1371/journal.pgen.1005935 ↗
43. Chopra, A. 89Zr-Labeled Anti-CD105 (Endoglin) Chimeric Monoclonal Antibody TRC105 Linked to IRDye 800CW. In Molecular Imaging and Contrast Agent Database (MICAD); National Center for Biotechnology Information (US): Bethesda, MD, 2004.
44. 10.1158/1078-0432.CCR-12-009810.1158/1078-0432.CCR-12-0098 ↗
45. 10.1371/journal.pone.005872310.1371/journal.pone.0058723 ↗
46. 10.1007/978-1-62703-541-5_310.1007/978-1-62703-541-5_3 ↗
47. 10.1158/1535-7163.MCT-16-039310.1158/1535-7163.MCT-16-0393 ↗
48. 10.1182/blood-2009-02-20550010.1182/blood-2009-02-205500 ↗
49. 10.1038/nbt83210.1038/nbt832 ↗
50. 10.1007/978-1-62703-541-5_110.1007/978-1-62703-541-5_1 ↗
51. 10.1038/nprot.2017.05810.1038/nprot.2017.058 ↗
52. 10.1038/s41598-017-08151-210.1038/s41598-017-08151-2 ↗
53. 10.1007/978-1-62703-541-5_1610.1007/978-1-62703-541-5_16 ↗
54. 10.1158/1078-0432.CCR-04-078910.1158/1078-0432.CCR-04-0789 ↗