Targeting and monitoring ovarian cancer invasion with an RNAi and peptide delivery system

Author:

Hao Liangliang1ORCID,Boehnke Natalie2ORCID,Elledge Susanna K.1,Harzallah Nour-Saïda1ORCID,Zhao Renee T.1,Cai Eva13,Feng Yu-Xiong4,Neaher Sofia1ORCID,Fleming Heather E.135ORCID,Gupta Piyush B.6,Hammond Paula T.1789,Bhatia Sangeeta N.135910ORCID

Affiliation:

1. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139

2. Department of Chemical Engineering and Materials Science, University of Minnesota Twin Cities, Minneapolis, MN 55455

3. Harvard University–Massachusetts Institute of Technology Division of Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139

4. Department of Biology, Whitehead Institute for Biomedical Research, Cambridge, MA 02142

5. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139

6. Naveris, Waltham, MA 02451

7. Institute for Soldier Nanotechnologies, Massachusetts Institute of Technology, Cambridge, MA 02139

8. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139

9. Marble Center for Cancer Nanomedicine, Massachusetts Institute of Technology, Cambridge, MA 02139

10. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142

Abstract

RNA interference (RNAi) therapeutics are an emerging class of medicines that selectively target mRNA transcripts to silence protein production and combat disease. Despite the recent progress, a generalizable approach for monitoring the efficacy of RNAi therapeutics without invasive biopsy remains a challenge. Here, we describe the development of a self-reporting, theranostic nanoparticle that delivers siRNA to silence a protein that drives cancer progression while also monitoring the functional activity of its downstream targets. Our therapeutic target is the transcription factor SMARCE1, which was previously identified as a key driver of invasion in early-stage breast cancer. Using a doxycycline-inducible shRNA knockdown in OVCAR8 ovarian cancer cells both in vitro and in vivo, we demonstrate that SMARCE1 is a master regulator of genes encoding proinvasive proteases in a model of human ovarian cancer. We additionally map the peptide cleavage profiles of SMARCE1-regulated proteases so as to design a readout for downstream enzymatic activity. To demonstrate the therapeutic and diagnostic potential of our approach, we engineered self-assembled layer-by-layer nanoparticles that can encapsulate nucleic acid cargo and be decorated with peptide substrates that release a urinary reporter upon exposure to SMARCE1-related proteases. In an orthotopic ovarian cancer xenograft model, theranostic nanoparticles were able to knockdown SMARCE1 which was in turn reported through a reduction in protease-activated urinary reporters. These LBL nanoparticles both silence gene products by delivering siRNA and noninvasively report on downstream target activity by delivering synthetic biomarkers to sites of disease, enabling dose-finding studies as well as longitudinal assessments of efficacy.

Funder

HHS | NIH | National Institute of Environmental Health Sciences

HHS | NIH | National Cancer Institute

Publisher

Proceedings of the National Academy of Sciences

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Polypeptide-based multilayer nanoarchitectures: Controlled assembly on planar and colloidal substrates for biomedical applications;Advances in Colloid and Interface Science;2024-09

2. RNA delivery systems;Proceedings of the National Academy of Sciences;2024-03-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3