journal article·2025-02-11Open access

Engineered Immunomodulatory Extracellular Vesicles from Epithelial Cells with the Capacity for Stimulation of Innate and Adaptive Immunity in Cancer and Autoimmunity

Xin Luo, Fernanda G. Kugeratski, Dara P. Dowlatshahi, Hikaru Sugimoto, Kent A. Arian, Yibo Fan, Li Huang, Danielle Wills, Sergio Lilla, Kelly Hodge, Sara R. Zanivan, Valerie S. LeBleu, Kathleen M. McAndrews, Raghu Kalluri

ACS Nano· Volume 19· Issue 5

Abstract

Extracellular vesicles (EVs) are generated in all cells. Systemic administration of allogenic EVs derived from epithelial and mesenchymal cells has been shown to be safe, despite carrying an array of functional molecules, including thousands of proteins. To address whether epithelial cell-derived EVs can be modified to acquire the capacity to induce an immune response, we engineered 293T EVs to harbor the immunomodulatory molecules CD80, OX40L, and PD-L1. We demonstrated abundant levels of these proteins in the engineered cells and EVs. Functionally, the engineered EVs efficiently elicited positive and negative costimulation of human and murine T cells. In the setting of cancer and autoimmune hepatitis, the engineered EVs modulated T cell functions and altered disease progression. OX40L EVs also provided enhanced antitumor activity in combination with anti-CTLA-4 in melanoma-bearing mice. In addition, we added multiple immunomodulatory proteins in EVs (EV mIM ), attempting to elicit an immune response in both lymphoid and myeloid compartments. The EV mIM containing CD80, 4-1BBL, CD40L, CD2, and CD32 engaged both T cells and antigen presenting cells (APCs) in melanoma tumors, demonstrating the capacity for EV mIM to elicit antitumor activity. Our work provides evidence that EVs can be engineered to induce specific immune responses with translational potential to modulate immune cell functions in pathological settings.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Nanoplatforms for cancer theranostics · RNA Interference and Gene Delivery

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

Affiliations

Department of Cancer Biology and Metastasis Research Center

University of Texas MD Anderson Cancer Center

Department of Bioengineering

Rice University

Cancer Research UK Scotland Institute

University of Glasgow

School of Cancer Sciences

Department of Internal Medicine

Baylor College of Medicine

Department of Molecular and Cellular Biology

Funding

University of Texas MD Anderson Cancer Center · Cancer Research UK · Fifth Generation · Black Rhino family office

References (76)

Show source-provided references
1. 10.1126/science.aau697710.1126/science.aau6977 ↗
2. 10.1038/ncb159610.1038/ncb1596 ↗
3. 10.1038/s41556-021-00693-y10.1038/s41556-021-00693-y ↗
4. 10.1016/j.trac.2018.07.01410.1016/j.trac.2018.07.014 ↗
5. 10.1016/j.plabm.2018.e0009910.1016/j.plabm.2018.e00099 ↗
6. 10.3402/jev.v5.3257010.3402/jev.v5.32570 ↗
7. 10.3390/cancers1206160210.3390/cancers12061602 ↗
8. 10.1038/s41467-017-01433-310.1038/s41467-017-01433-3 ↗
9. 10.1038/s41586-018-0392-810.1038/s41586-018-0392-8 ↗
10. 10.1038/s41467-018-03224-w10.1038/s41467-018-03224-w ↗
11. 10.1038/s41590-017-0043-510.1038/s41590-017-0043-5 ↗
12. 10.1126/sciadv.aar276610.1126/sciadv.aar2766 ↗
13. 10.1016/j.immuni.2019.01.01010.1016/j.immuni.2019.01.010 ↗
14. 10.1126/scisignal.aaz474210.1126/scisignal.aaz4742 ↗
15. 10.1111/febs.1555810.1111/febs.15558 ↗
16. 10.3390/cells802015410.3390/cells8020154 ↗
17. 10.3389/fimmu.2020.0214010.3389/fimmu.2020.02140 ↗
18. 10.1210/endocr/bqaa25010.1210/endocr/bqaa250 ↗
19. 10.3892/mmr.2013.175910.3892/mmr.2013.1759 ↗
20. Zhang Y. · Int. J. Oncol. · 2010 · 36 · 13310.3892/ijo.2015.2993 ↗
21. 10.1158/1535-7163.MCT-20-048410.1158/1535-7163.MCT-20-0484 ↗
22. 10.1002/pros.2399610.1002/pros.23996 ↗
23. 10.1038/s41467-019-12321-310.1038/s41467-019-12321-3 ↗
24. 10.1038/s41467-020-15569-210.1038/s41467-020-15569-2 ↗
25. 10.1016/j.jbc.2021.10052310.1016/j.jbc.2021.100523 ↗
26. 10.1186/s40779-021-00350-310.1186/s40779-021-00350-3 ↗
27. 10.1186/1479-5876-3-910.1186/1479-5876-3-9 ↗
28. 10.1186/1479-5876-3-1010.1186/1479-5876-3-10 ↗
29. 10.1080/20013078.2017.132473010.1080/20013078.2017.1324730 ↗
30. 10.1172/jci.insight.9926310.1172/jci.insight.99263 ↗
31. 10.1038/s41598-020-72122-310.1038/s41598-020-72122-3 ↗
32. 10.1177/002367721557284110.1177/0023677215572841 ↗
33. 10.1056/NEJMoa191083610.1056/NEJMoa1910836 ↗
34. 10.1038/nm167610.1038/nm1676 ↗
35. 10.1093/intimm/dxm10610.1093/intimm/dxm106 ↗
36. 10.1146/annurev-med-062518-04543510.1146/annurev-med-062518-045435 ↗
37. 10.3389/fimmu.2020.0109010.3389/fimmu.2020.01090 ↗
38. 10.3389/fimmu.2020.0139310.3389/fimmu.2020.01393 ↗
39. 10.1016/j.biomaterials.2017.01.00410.1016/j.biomaterials.2017.01.004 ↗
40. 10.1080/20013078.2017.126529110.1080/20013078.2017.1265291 ↗
41. Kugeratski F. G. · 2023 · 4310.1007/978-3-031-22903-9_3 ↗
42. 10.1007/s13402-020-00535-310.1007/s13402-020-00535-3 ↗
43. 10.1016/j.cell.2019.02.01610.1016/j.cell.2019.02.016 ↗
44. 10.1016/j.ejca.2015.08.02110.1016/j.ejca.2015.08.021 ↗
45. 10.1038/s41467-021-21383-110.1038/s41467-021-21383-1 ↗
46. 10.4049/jimmunol.172.8.482110.4049/jimmunol.172.8.4821 ↗
47. 10.1097/CJI.0b013e31816a88e010.1097/CJI.0b013e31816a88e0 ↗
48. 10.1158/0008-5472.CAN-07-648410.1158/0008-5472.CAN-07-6484 ↗
49. 10.1002/ijc.2443510.1002/ijc.24435 ↗
50. 10.1084/jem.2007134110.1084/jem.20071341 ↗
51. 10.1126/science.271.5256.173410.1126/science.271.5256.1734 ↗
52. 10.1093/intimm/dxh19410.1093/intimm/dxh194 ↗
53. 10.1126/science.aar406010.1126/science.aar4060 ↗
54. 10.1158/2159-8290.CD-18-036710.1158/2159-8290.CD-18-0367 ↗
55. 10.3389/fimmu.2024.144702110.3389/fimmu.2024.1447021 ↗
56. 10.3389/fonc.2021.55916110.3389/fonc.2021.559161 ↗
57. 10.3389/fcell.2021.69298210.3389/fcell.2021.692982 ↗
58. 10.1158/2326-6066.CIR-17-029210.1158/2326-6066.CIR-17-0292 ↗
59. 10.1158/1078-0432.CCR-16-267710.1158/1078-0432.CCR-16-2677 ↗
60. 10.1053/j.gastro.2020.03.01810.1053/j.gastro.2020.03.018 ↗
61. 10.1016/j.cell.2017.07.02410.1016/j.cell.2017.07.024 ↗
62. 10.1016/j.jconrel.2023.11.05110.1016/j.jconrel.2023.11.051 ↗
63. 10.1038/s41586-018-0392-810.1038/s41586-018-0392-8 ↗
64. 10.18632/oncotarget.999610.18632/oncotarget.9996 ↗
65. 10.1002/jps.2301810.1002/jps.23018 ↗
66. 10.1016/j.tips.2016.10.00510.1016/j.tips.2016.10.005 ↗
67. 10.1038/s41467-023-42365-510.1038/s41467-023-42365-5 ↗
68. 10.3390/life1404051110.3390/life14040511 ↗
69. 10.1016/j.jconrel.2024.08.01710.1016/j.jconrel.2024.08.017 ↗
70. 10.1038/s41467-023-40453-010.1038/s41467-023-40453-0 ↗
71. 10.1158/1535-7163.MCT-20-048410.1158/1535-7163.MCT-20-0484 ↗
72. 10.1038/nbt.151110.1038/nbt.1511 ↗
73. 10.1021/pr101065j10.1021/pr101065j ↗
74. 10.1038/nmeth.390110.1038/nmeth.3901 ↗
75. 10.1093/nar/gkac104010.1093/nar/gkac1040 ↗
76. 10.1093/nar/gkab103810.1093/nar/gkab1038 ↗