Evidence map›Paper›PMID 23641783›Full record

ArticleMolecular pharmaceutics2013

Antitumor activity of tumor-targeted RNA replicase-based plasmid that expresses interleukin-2 in a murine melanoma model.

B Leticia Rodriguez, Jorge M Blando, Dharmika S P Lansakara-P, Yuriko Kiguchi, John DiGiovanni, Zhengrong Cui

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2013. 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
0.6field-weighted citation impact, top 32% 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, 14 citations in OpenAlex.

  1. Review
  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 1 institution in 1 country.

B Leticia RodriguezPharmaceutics Division, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78712, USA.
Jorge M Blando
Dharmika S P Lansakara-P
Yuriko Kiguchi
John DiGiovanni
Zhengrong Cui
The University of Texas at Austin · 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

Double-stranded RNA (dsRNA) has multiple antitumor mechanisms that may be used to control tumor growth. Previously we have shown that treatment of solid tumors with a plasmid that encodes Sindbis viral RNA replicase complex, pSIN-β, significantly inhibited the growth of tumors in mice. In the present study, we evaluated the feasibility of further improving the antitumor activity of the pSIN-β plasmid by incorporating interleukin-2 (IL2) gene into the plasmid. The resultant pSIN-IL2 plasmid was delivered to mouse melanoma cells that overexpress the sigma receptor. Here we report that the pSIN-IL2 plasmid was more effective at controlling the growth of B16 melanoma in mice when complexed with sigma receptor-targeted liposomes than with the untargeted liposomes. Importantly, the pSIN-IL2 plasmid was more effective than pSIN-β plasmid at controlling the growth of B16 melanoma in mice, and B16 tumor-bearing mice that were treated with pSIN-IL2 had an elevated number of activated CD4(+), CD8(+), and natural killer cells, as compared to those treated with pSIN-β. The RNA replicase-based, IL2-expressing plasmid may have applications in melanoma gene therapy.

Indexed as

AnimalsCaspase 3Cell LineFemaleInterleukin-2LiposomesMelanomaMiceMice, Inbred C57BLMicroscopy, ConfocalMicroscopy, FluorescencePlasmidsRNA-Dependent RNA PolymeraseCaspase 3Interleukin-2LiposomesRNA-Dependent RNA Polymerase

Identifiers

PMID23641783
PMCPMC3731991
OpenAlexW1973642624

What OpenQuestion holds

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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.