<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang Z</submitter><funding>Natural Science Foundation of Hubei Province</funding><funding>National Natural Science Foundation of China</funding><pagination>89</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10909271</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>Despite advances in surgery and chemotherapy, the survival of patients with osteosarcoma (OS) has not been fundamentally improved over the last two decades. Microvesicles (MVs) have a high cargo-loading capacity and are emerging as a promising drug delivery nanoplatform. The aim of this study was to develop MVs as specifically designed vehicles to enable OS-specific targeting and efficient treatment of OS. Herein, we designed and constructed a nanoplatform (YSA-SPION-MV/MTX) consisting of methotrexate (MTX)-loaded MVs coated with surface-carboxyl Fe3O4 superparamagnetic nanoparticles (SPIONs) conjugated with ephrin alpha 2 (EphA2)-targeted peptides (YSAYPDSVPMMS, YSA). YSA-SPION-MV/MTX showed an effective targeting effect on OS cells, which was depended on the binding of the YSA peptide to EphA2. In the orthotopic OS mouse model, YSA-SPION-MV/MTX effectively delivered drugs to tumor sites with specific targeting, resulting in superior anti-tumor activity compared to MTX or MV/MTX. And YSA-SPION-MV/MTX also reduced the side effects of high-dose MTX. Taken together, this strategy opens up a new avenue for OS therapy. And we expect this MV-based therapy to serve as a promising platform for the next generation of precision cancer nanomedicines.</pubmed_abstract><journal>Journal of nanobiotechnology</journal><pubmed_title>EphA2-specific microvesicles derived from tumor cells facilitate the targeted delivery of chemotherapeutic drugs for osteosarcoma therapy.</pubmed_title><pmcid>PMC10909271</pmcid><funding_grant_id>2020CFB216</funding_grant_id><funding_grant_id>81672168</funding_grant_id><pubmed_authors>Chen A</pubmed_authors><pubmed_authors>He Z</pubmed_authors><pubmed_authors>Cheng P</pubmed_authors><pubmed_authors>Wan J</pubmed_authors><pubmed_authors>Zhu W</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>EphA2-specific microvesicles derived from tumor cells facilitate the targeted delivery of chemotherapeutic drugs for osteosarcoma therapy.</name><description>Despite advances in surgery and chemotherapy, the survival of patients with osteosarcoma (OS) has not been fundamentally improved over the last two decades. Microvesicles (MVs) have a high cargo-loading capacity and are emerging as a promising drug delivery nanoplatform. The aim of this study was to develop MVs as specifically designed vehicles to enable OS-specific targeting and efficient treatment of OS. Herein, we designed and constructed a nanoplatform (YSA-SPION-MV/MTX) consisting of methotrexate (MTX)-loaded MVs coated with surface-carboxyl Fe3O4 superparamagnetic nanoparticles (SPIONs) conjugated with ephrin alpha 2 (EphA2)-targeted peptides (YSAYPDSVPMMS, YSA). YSA-SPION-MV/MTX showed an effective targeting effect on OS cells, which was depended on the binding of the YSA peptide to EphA2. In the orthotopic OS mouse model, YSA-SPION-MV/MTX effectively delivered drugs to tumor sites with specific targeting, resulting in superior anti-tumor activity compared to MTX or MV/MTX. And YSA-SPION-MV/MTX also reduced the side effects of high-dose MTX. Taken together, this strategy opens up a new avenue for OS therapy. And we expect this MV-based therapy to serve as a promising platform for the next generation of precision cancer nanomedicines.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-29T03:10:58.762Z</modification><creation>2026-06-29T03:07:44.758Z</creation></dates><accession>S-EPMC10909271</accession><cross_references><pubmed>38433190</pubmed><doi>10.1186/s12951-024-02372-0</doi></cross_references></HashMap>