Evidence map›Paper›PMID 22296186›Full record

ArticleNanomedicine (London, England)2012

Control of solid tumor growth in mice using EGF receptor-targeted RNA replicase-based plasmid DNA.

B Leticia Rodriguez, Xinran Li, Kaoru Kiguchi, John DiGiovanni, Evan C Unger, Zhengrong Cui

Abstract read
In one paragraph

Article in Nanomedicine (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

B Leticia RodriguezCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.
Xinran Li
Kaoru Kiguchi
John DiGiovanni
Evan C Unger
Zhengrong Cui
The University of Texas at Austin · USArizona Science Center · US

Funding

Overcoming pancreatic tumor resistance to gemcitabineR01CA135274 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI CUI, ZHENGRONG · 2008 to 2017
$2.8M
NCI NIH HHS CA135274NCI NIH HHS CA135274-S1NCI NIH HHS R01 CA135274
6 · The paper itself

Abstract

aimPreviously, it was shown that treatment of tumor-bearing mice with an RNA replicase-based plasmid that produces dsRNA when transfected into tumor cells significantly inhibited the tumor growth. In the present study, the feasibility of further improving the anti-tumor activity of the RNA replicase-based plasmid by targeting it into tumors cells was evaluated. MATERIAL &

methodsAn EGF-conjugated, polyethylene glycosylated cationic liposome was developed to deliver the RNA replicase-based plasmid, pSIN-β, into EGF receptor-overexpressing human breast cancer cells (MDA-MB-468) in vitro and in vivo.

resultsDelivery of pSIN-β using the EGF receptor-targeted liposome more effectively controlled the growth of MDA-MB-468 tumors (and human epidermoid carcinoma A431 tumors) in mice than using untargeted liposome. The pSIN-β carried by the EGF receptor-targeted liposome caused the complete regression of MDA-MB-468 tumors in mice, probably due to the enhancement of its proapoptotic, antiproliferative and antiangiogenic activities. DISCUSSION: Tumor-targeted RNA replicase-based plasmids hold a strong potential in tumor therapy.

Indexed as

AnimalsApoptosisBreast NeoplasmsDNAErbB ReceptorsFemaleHumansLiposomesMiceMice, NudeMicroscopy, FluorescencePlasmidsPolyethylene GlycolsRNA-Dependent RNA PolymeraseDNAErbB ReceptorsLiposomesPolyethylene GlycolsRNA-Dependent RNA Polymerase

Identifiers

PMID22296186
PMCPMC3523886
OpenAlexW2152815466

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.