Engineered Biomimetic Nanovesicles Synergistically Remodel Folate-Nucleotide and γ-Aminobutyric Acid Metabolism to Overcome Sunitinib-Resistant Renal Cell Carcinoma
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<sub>2</sub>@Suni was designed to overcome drug resistance and terminate tumor progression of ccRCC. Using ccRCC-bearing immune-humanized NPG model mice, EMφ-siMTHFD2-MnO<sub>2</sub>@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<sub>2</sub>@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.
Authors
- Jiangtao Lin (ORCID: https://orcid.org/0009-0008-9593-176X)
- Yi Duan (ORCID: https://orcid.org/0000-0001-6936-5233)
- Jinghan Liao
- Minchao Lv
- Jian Yu (ORCID: https://orcid.org/0000-0002-4021-1000)
- Bin Liu (ORCID: https://orcid.org/0009-0005-9488-9780)
- Dai Li (ORCID: https://orcid.org/0000-0002-1720-5542)
- Jiali Zhang (ORCID: https://orcid.org/0000-0003-3052-5329)
- Yuanyuan Li (ORCID: https://orcid.org/0000-0002-7055-782X)
Institutions
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Shanghai Cancer Institute (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1021/acsnano.4c08055
- Citations
- 9
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 1.66
Funders
- Natural Science Foundation of Shanghai
- National Natural Science Foundation of China