journal article·2024-10-08Open access

Engineered Biomimetic Nanovesicles Synergistically Remodel Folate-Nucleotide and γ-Aminobutyric Acid Metabolism to Overcome Sunitinib-Resistant Renal Cell Carcinoma

Minchao Lv, Bin Liu, Yi Duan, Jiangtao Lin, Li Dai, Yuanyuan Li, Jian Yu, Jinghan Liao, Jiali Zhang, Yourong Duan

ACS Nano· Volume 18· Issue 40

Abstract

Reprogramming of cellular metabolism in tumors promoted the epithelial-mesenchymal transition (EMT) process and established immune-suppressive tumor microenvironments (iTME), leading to drug resistance and tumor progression. Therefore, remodeling the cellular metabolism of tumor cells was a promising strategy to overcome drug-resistant tumors. Herein, CD276 and MTHFD2 were identified as a specific marker and a therapeutic target, respectively, for targeting sunitinib-resistant clear cell renal cell carcinoma (ccRCC) and its cancer stem cell (CSC) population. The blockade of MTHFD2 was confirmed to overcome drug resistance via remodeling of folate-nucleotide metabolism. Moreover, the manganese dioxide nanoparticle was proven here by a high-throughput metabolome to be capable of remodeling γ-aminobutyric acid (GABA) metabolism in tumor cells to reconstruct the iTME. Based on these findings, engineered CD276-CD133 dual-targeting biomimetic nanovesicle EMφ-siMTHFD2-MnO 2 @Suni was designed to overcome drug resistance and terminate tumor progression of ccRCC. Using ccRCC-bearing immune-humanized NPG model mice, EMφ-siMTHFD2-MnO 2 @Suni was observed to remodel folate-nucleotide and GABA metabolism to deactivate the EMT process and reconstruct the iTME thereby overcoming the drug resistance. In the incomplete-tumor-resection recurrence model and metastasis model, EMφ-siMTHFD2-MnO 2 @Suni reduced recurrence and metastasis in vivo. This work thus provided an innovative approach that held great potential in the treatment of drug-resistant ccRCC by remodeling cellular metabolism.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Adenosine and Purinergic Signaling · Nanocluster Synthesis and Applications

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

Affiliations

State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 2200/25 Xietu Rd, Shanghai 200032, China

Department of Otolaryngology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd, Shanghai 200127, China

Funding

Natural Science Foundation of Shanghai Municipality · Innovative Research Team of High-level Local University in Shanghai · National Natural Science Foundation of China

References (72)

Show source-provided references
1. 10.1038/nrdp.2017.910.1038/nrdp.2017.9 ↗
2. 10.1093/annonc/mdz05610.1093/annonc/mdz056 ↗
3. 10.1186/s13046-021-01961-310.1186/s13046-021-01961-3 ↗
4. 10.1158/1078-0432.CCR-14-112810.1158/1078-0432.CCR-14-1128 ↗
5. 10.1016/S1470-2045(22)00128-010.1016/S1470-2045(22)00128-0 ↗
6. 10.1016/j.kint.2020.08.02810.1016/j.kint.2020.08.028 ↗
7. 10.1016/j.drup.2023.10092910.1016/j.drup.2023.100929 ↗
8. 10.1016/j.semcancer.2019.07.02210.1016/j.semcancer.2019.07.022 ↗
9. 10.1038/nrc359910.1038/nrc3599 ↗
10. 10.1038/s41392-020-0110-510.1038/s41392-020-0110-5 ↗
11. 10.1038/nm.440910.1038/nm.4409 ↗
12. 10.1002/jcp.2882410.1002/jcp.28824 ↗
13. 10.1038/nrclinonc.2017.4410.1038/nrclinonc.2017.44 ↗
14. 10.1158/1535-7163.MCT-17-129910.1158/1535-7163.MCT-17-1299 ↗
15. 10.1038/s41419-018-0388-110.1038/s41419-018-0388-1 ↗
16. 10.1002/path.563010.1002/path.5630 ↗
17. 10.1038/s41568-021-00366-w10.1038/s41568-021-00366-w ↗
18. 10.1016/j.stem.2021.04.01110.1016/j.stem.2021.04.011 ↗
19. 10.1186/s12943-023-01748-410.1186/s12943-023-01748-4 ↗
20. 10.1158/0008-5472.CAN-16-329210.1158/0008-5472.CAN-16-3292 ↗
21. 10.1016/S1470-2045(21)00343-010.1016/S1470-2045(21)00343-0 ↗
22. 10.1021/acsnano.3c0782810.1021/acsnano.3c07828 ↗
23. 10.1016/j.drup.2021.10079710.1016/j.drup.2021.100797 ↗
24. 10.1186/s12943-021-01316-810.1186/s12943-021-01316-8 ↗
25. 10.3389/fimmu.2021.68095510.3389/fimmu.2021.680955 ↗
26. 10.1038/s41573-019-0032-510.1038/s41573-019-0032-5 ↗
27. 10.1038/s41568-021-00378-610.1038/s41568-021-00378-6 ↗
28. 10.1038/s41556-021-00820-910.1038/s41556-021-00820-9 ↗
29. 10.1126/science.aav258810.1126/science.aav2588 ↗
30. 10.1038/s41568-023-00557-710.1038/s41568-023-00557-7 ↗
31. 10.1038/s41388-018-0589-110.1038/s41388-018-0589-1 ↗
32. 10.1038/s41573-021-00339-610.1038/s41573-021-00339-6 ↗
33. 10.1038/s41571-022-00699-x10.1038/s41571-022-00699-x ↗
34. 10.1002/adfm.20200439710.1002/adfm.202004397 ↗
35. 10.1038/s41467-020-18626-y10.1038/s41467-020-18626-y ↗
36. 10.1002/smll.20210651110.1002/smll.202106511 ↗
37. 10.1002/adma.20190463910.1002/adma.201904639 ↗
38. 10.1002/adma.20220540910.1002/adma.202205409 ↗
39. 10.1111/joim.1204010.1111/joim.12040 ↗
40. 10.1186/s12943-023-01751-910.1186/s12943-023-01751-9 ↗
41. 10.1038/s41388-018-0407-910.1038/s41388-018-0407-9 ↗
42. 10.1158/1535-7163.MCT-20-044610.1158/1535-7163.MCT-20-0446 ↗
43. 10.1186/s13046-022-02331-310.1186/s13046-022-02331-3 ↗
44. 10.1038/s41467-021-22173-510.1038/s41467-021-22173-5 ↗
45. 10.1038/nrm.2017.9510.1038/nrm.2017.95 ↗
46. 10.1016/j.cmet.2016.04.01610.1016/j.cmet.2016.04.016 ↗
47. 10.1084/jem.2018196510.1084/jem.20181965 ↗
48. 10.1073/pnas.090660610610.1073/pnas.0906606106 ↗
49. 10.1038/s41580-022-00547-x10.1038/s41580-022-00547-x ↗
50. 10.1016/j.molcel.2021.03.03710.1016/j.molcel.2021.03.037 ↗
51. 10.1038/s41556-019-0287-410.1038/s41556-019-0287-4 ↗
52. 10.1016/j.canlet.2019.10.01310.1016/j.canlet.2019.10.013 ↗
53. 10.1038/s41467-020-14700-710.1038/s41467-020-14700-7 ↗
54. 10.1002/adma.20210921310.1002/adma.202109213 ↗
55. 10.1038/s41467-017-01050-010.1038/s41467-017-01050-0 ↗
56. 10.1002/smtd.20210153110.1002/smtd.202101531 ↗
57. 10.1016/j.immuni.2021.10.01110.1016/j.immuni.2021.10.011 ↗
58. 10.1126/sciadv.abq350010.1126/sciadv.abq3500 ↗
59. 10.1002/adfm.20191056610.1002/adfm.201910566 ↗
60. 10.1152/physiol.00002.200910.1152/physiol.00002.2009 ↗
61. 10.1038/s42255-022-00638-110.1038/s42255-022-00638-1 ↗
62. 10.1016/j.compbiomed.2024.10826010.1016/j.compbiomed.2024.108260 ↗
63. 10.1038/nrc324610.1038/nrc3246 ↗
64. 10.1038/s41581-020-0316-310.1038/s41581-020-0316-3 ↗
65. 10.1016/j.cell.2017.04.01610.1016/j.cell.2017.04.016 ↗
66. 10.1038/s41421-022-00415-010.1038/s41421-022-00415-0 ↗
67. 10.1038/s41571-020-00455-z10.1038/s41571-020-00455-z ↗
68. 10.1038/s41423-019-0305-210.1038/s41423-019-0305-2 ↗
69. 10.1016/j.envres.2023.11567210.1016/j.envres.2023.115672 ↗
70. 10.1016/j.biomaterials.2022.12151710.1016/j.biomaterials.2022.121517 ↗
71. 10.1002/advs.20200292210.1002/advs.202002922 ↗
72. 10.1002/smll.20220413310.1002/smll.202204133 ↗