The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Materializing the Potential of Small Interfering RNA via a Tumor-Targeting Nanodelivery System
Abstract
The field of small interfering RNA (siRNA) as potent sequence-selective inhibitors of transcription is rapidly developing. However, until now, low transfection efficiency, poor tissue penetration, and nonspecific immune stimulation by in vivo administered siRNAs have delayed their therapeutic application. Their potential as anticancer therapeutics hinges on the availability of a vehicle that can be systemically administered, safely and repeatedly, and will deliver the siRNA specifically and efficiently to the tumor, both primary tumors and metastases. We have developed a nanosized immunoliposome-based delivery complex (scL) that, when systemically administered, will preferentially target and deliver molecules useful in gene medicine, including plasmid DNA and antisense oligonucleotides, to tumor cells wherever they occur in the body. This tumor-targeting nanoparticle delivery vehicle can also deliver siRNA to both primary and metastatic disease. We have also enhanced the efficiency of this complex by the inclusion of a pH-sensitive histidine-lysine peptide in the complex (scL-HoKC) and by delivery of a modified hybrid (DNA-RNA) anti-HER-2 siRNA molecule. Scanning probe microscopy confirms that this modified complex maintains its nanoscale size. More importantly, we show that this nanoimmunoliposome anti-HER-2 siRNA complex can sensitize human tumor cells to chemotherapeutics, silence the target gene and affect its downstream pathway components in vivo, and significantly inhibit tumor growth in a pancreatic cancer model. Thus, this complex has the potential to help translate the potent effects of siRNA into a clinically viable anticancer therapeutic. [Cancer Res 2007;67(7):2938–43]
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MDA435/LCC6 and MDA435/LCC6MDR1: ascites models of human breast cancer
Leonessa, F., Green, D., Licht, T., Wright, A., Wingate-Legette, K., Lippman, J., Gottesman, M., & Clarke, R. (1996) · British Journal of Cancer · doi:10.1038/bjc.1996.29 · Cited by 102
Cited by
Progress towards in Vivo Use of siRNAs
Behlke, M. A. (2006) · Molecular Therapy · doi:10.1016/j.ymthe.2006.01.001 · Cited by 677
Engineering RNA for Targeted siRNA Delivery and Medical Application
Guo, P., Coban, O., Snead, N. M., Trebley, J., Hoeprich, S., Guo, S., & Shu, Y. (2010) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.03.008 · Cited by 300
Nonviral methods for siRNA delivery
Gao, K., & Huang, L. (2009) · Molecular Pharmaceutics · doi:10.1021/mp800134q · Cited by 244
Non-viral is superior to viral gene delivery
Li, S.-D., & Huang, L. (2007) · Journal of Controlled Release · doi:10.1016/j.jconrel.2007.09.004 · Cited by 225
Targeted Delivery of Small Interfering RNA: Approaching Effective Cancer Therapies
Pirollo, K. F., & Chang, E. H. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-5810 · Cited by 121
Self-citation
Metadata
- Authors
- Pirollo, K. F., Rait, A., Zhou, Q., Hwang, S. H., Dagata, J. A., Zon, G., Hogrefe, R. I., Palchik, G., & Chang, E. H.
- Venue
- Cancer Research
- Published
- 2007-04-01
- Volume
- 67
- Issue
- 7
- Pages
- 2938-2943
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2080323656
- Cited by
- 195
- References
- 1
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Materializing the Potential of Small Interfering RNA via a Tumor-Targeting Nanodelivery System. https://app.cochat.ai/papers/10.1158/0008-5472.can-06-4535
- The paper
- Pirollo, K. F., Rait, A., Zhou, Q., Hwang, S. H., Dagata, J. A., Zon, G., Hogrefe, R. I., Palchik, G., & Chang, E. H. (2007). Materializing the Potential of Small Interfering RNA via a Tumor-Targeting Nanodelivery System. Cancer Research. https://doi.org/10.1158/0008-5472.can-06-4535
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.