dc.contributor.author | Yu, Dou | |
dc.contributor.author | Suvà, Mario L. | |
dc.contributor.author | Dong, Biqin | |
dc.contributor.author | Panek, Wojciech K. | |
dc.contributor.author | Xiao, Ting | |
dc.contributor.author | Wu, Meijing | |
dc.contributor.author | Han, Yu | |
dc.contributor.author | Ahmed, Atique U. | |
dc.contributor.author | Balyasnikova, Irina V. | |
dc.contributor.author | Zhang, Hao F. | |
dc.contributor.author | Sun, Cheng | |
dc.contributor.author | Lesniak, Maciej S. | |
dc.contributor.author | Khan, Omar Fizal | |
dc.contributor.author | Langer, Robert S | |
dc.contributor.author | Anderson, Daniel Griffith | |
dc.date.accessioned | 2018-04-23T18:59:03Z | |
dc.date.available | 2018-04-23T18:59:03Z | |
dc.date.issued | 2017-07 | |
dc.date.submitted | 2017-02 | |
dc.identifier.issn | 0027-8424 | |
dc.identifier.issn | 1091-6490 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/114893 | |
dc.description.abstract | Brain tumor-initiating cells (BTICs) have been identified as key contributors to therapy resistance, recurrence, and progression of diffuse gliomas, particularly glioblastoma (GBM). BTICs are elusive therapeutic targets that reside across the blood–brain barrier, underscoring the urgent need to develop novel therapeutic strategies. Additionally, intratumoral heterogeneity and adaptations to therapeutic pressure by BTICs impede the discovery of effective anti-BTIC therapies and limit the efficacy of individual gene targeting. Recent discoveries in the genetic and epigenetic determinants of BTIC tumorigenesis offer novel opportunities for RNAi-mediated targeting of BTICs. Here we show that BTIC growth arrest in vitro and in vivo is accomplished via concurrent siRNA knockdown of four transcription factors (SOX2, OLIG2, SALL2, and POU3F2) that drive the proneural BTIC phenotype delivered by multiplexed siRNA encapsulation in the lipopolymeric nanoparticle 7C1. Importantly, we demonstrate that 7C1 nano-encapsulation of multiplexed RNAi is a viable BTIC-targeting strategy when delivered directly in vivo in an established mouse brain tumor. Therapeutic potential was most evident via a convection-enhanced delivery method, which shows significant extension of median survival in two patient-derived BTIC xenograft mouse models of GBM. Our study suggests that there is potential advantage in multiplexed targeting strategies for BTICs and establishes a flexible nonviral gene therapy platform with the capacity to channel multiplexed RNAi schemes to address the challenges posed by tumor heterogeneity. Keywords: siRNA; lipopolymeric nanoparticle; glioblastoma transcription factor; brain tumor-initiating; cells; convection-enhanced delivery | en_US |
dc.publisher | National Academy of Sciences (U.S.) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1073/PNAS.1701911114 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | National Academy of Sciences | en_US |
dc.title | Multiplexed RNAi therapy against brain tumor-initiating cells via lipopolymeric nanoparticle infusion delays glioblastoma progression | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Yu, Dou et al. “Multiplexed RNAi Therapy Against Brain Tumor-Initiating Cells via Lipopolymeric Nanoparticle Infusion Delays Glioblastoma Progression.” Proceedings of the National Academy of Sciences 114, 30 (July 2017): E6147–E6156 © 2017 National Academy of Sciences | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
dc.contributor.mitauthor | Khan, Omar Fizal | |
dc.contributor.mitauthor | Langer, Robert S | |
dc.contributor.mitauthor | Anderson, Daniel Griffith | |
dc.relation.journal | Proceedings of the National Academy of Sciences | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2018-04-20T14:13:12Z | |
dspace.orderedauthors | Yu, Dou; Khan, Omar F.; Suvà, Mario L.; Dong, Biqin; Panek, Wojciech K.; Xiao, Ting; Wu, Meijing; Han, Yu; Ahmed, Atique U.; Balyasnikova, Irina V.; Zhang, Hao F.; Sun, Cheng; Langer, Robert; Anderson, Daniel G.; Lesniak, Maciej S. | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-3811-2369 | |
dc.identifier.orcid | https://orcid.org/0000-0003-4255-0492 | |
dc.identifier.orcid | https://orcid.org/0000-0001-5629-4798 | |
mit.license | PUBLISHER_POLICY | en_US |