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dc.contributor.authorLo, Justin H.
dc.contributor.authorHao, Liangliang
dc.contributor.authorMuzumdar, Mandar
dc.contributor.authorRaghavan, Srivatsan
dc.contributor.authorKwon, Ester
dc.contributor.authorPulver, Emilia M
dc.contributor.authorHsu, Felicia
dc.contributor.authorAguirre, Andrew J.
dc.contributor.authorWolpin, Brian M.
dc.contributor.authorFuchs, Charles S.
dc.contributor.authorHahn, William C.
dc.contributor.authorJacks, Tyler E
dc.contributor.authorBhatia, Sangeeta N
dc.date.accessioned2020-12-04T20:40:05Z
dc.date.available2020-12-04T20:40:05Z
dc.date.issued2018-08
dc.date.submitted2018-03
dc.identifier.issn1535-7163
dc.identifier.issn1538-8514
dc.identifier.urihttps://hdl.handle.net/1721.1/128731
dc.description.abstractPancreatic cancer is one of the leading causes of cancer-related death, with 5-year survival of 8.5%. The lack of significant progress in improving therapy reflects our inability to overcome the desmoplastic stromal barrier in pancreatic ductal adenocarcinoma (PDAC) as well as a paucity of new approaches targeting its genetic underpinnings. RNA interference holds promise in targeting key mutations driving PDAC; however, a nucleic acid delivery vehicle that homes to PDAC and breaches the stroma does not yet exist. Noting that the cyclic peptide iRGD mediates tumor targeting and penetration through interactions with a v b 3/5 integrins and neuropilin-1, we hypothesized that "tandem" peptides combining a cell-penetrating peptide and iRGD can encapsulate siRNA to form tumor-penetrating nanocomplexes (TPN) capable of delivering siRNA to PDAC. The use of directly conjugated iRGD is justified by receptor expression patterns in human PDAC biopsies. In this work, we optimize iRGD TPNs with polyethylene glycol (PEG)peptide conjugates for systemic delivery to sites of disease. We show that TPNs effectively knockdown siRNA targets in PDAC cell lines and in an immunocompetent genetically engineered mouse model of PDAC. Furthermore, we validate their tumor-penetrating ability in three-dimensional organoids and autochthonous tumors. In murine therapeutic trials, TPNs delivering anti-Kras siRNA significantly delay tumor growth. Thus, iRGD TPNs hold promise in treating PDAC by not only overcoming physical barriers to therapy, but by leveraging the stroma to achieve knockdown of the gold-standard genetic target. Moreover, the modular construction of this delivery platform allows for facile adaptation to future genetic target candidates in pancreatic cancer.en_US
dc.description.sponsorshipNCI (Grants P30-CA14051 and U54CA151884)en_US
dc.description.sponsorshipNIH/NIGMS (Grant MSTP T32GM007753)en_US
dc.language.isoen
dc.publisherAmerican Association for Cancer Research (AACR)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1158/1535-7163.mct-17-1090en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleiRGD-guided Tumor-penetrating Nanocomplexes for Therapeutic siRNA Delivery to Pancreatic Canceren_US
dc.typeArticleen_US
dc.identifier.citationLo, Justin H. et al. "iRGD-guided Tumor-penetrating Nanocomplexes for Therapeutic siRNA Delivery to Pancreatic Cancer." Molecular Cancer Therapeutics 17, 11 (August 2018): 2377–88 © 2018 American Association for Cancer Research.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalMolecular Cancer Therapeuticsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-12-02T17:36:01Z
dspace.orderedauthorsLo, JH; Hao, L; Muzumdar, MD; Raghavan, S; Kwon, EJ; Pulver, EM; Hsu, F; Aguirre, AJ; Wolpin, BM; Fuchs, CS; Hahn, WC; Jacks, T; Bhatia, SNen_US
dspace.date.submission2020-12-02T17:36:08Z
mit.journal.volume17en_US
mit.journal.issue11en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusComplete


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