Evidence map›Paper›PMID 25663977›Full record

ArticleInternational journal of clinical and experimental medicine2014

Development of synthetic of peptide-functionalized liposome for enhanced targeted ovarian carcinoma therapy.

Hong Wu, Li Yao, Jiazhuan Mei, Feng Li

RetractedOpen access · greenAbstract readRetracted Publication
In one paragraph

Article in International journal of clinical and experimental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hong WuDepartment of Gynecology, Zhengzhou People's Hospital 33 Huanghe Road, Zhengzhou 450003, China.
Li YaoDepartment of Gynecology, Zhengzhou People's Hospital 33 Huanghe Road, Zhengzhou 450003, China.
Jiazhuan MeiDepartment of Oncology, Zhengzhou People's Hospital 33 Huanghe Road, Zhengzhou 450003, China.
Feng LiDepartment of Gynecology, Zhengzhou People's Hospital 33 Huanghe Road, Zhengzhou 450003, China.
Zhengzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we report an active targeting liposomal formulation directed by a novel peptide (T7) that specifically binds to the transferrin receptor (TfR) overexpressed on ovarian carcinoma cells. The objectives of this study were to evaluate the in vitro and in vivo tumor drug targeting delivery of T7-anchored liposomes on A2780 cells. T7 conjugated to the distal end of DSPE-PEG2000-maleimide was incorporated into the liposomes via a post-insertion method, the liposome could keep stability in 50% FBS for more than 24 h. The uptake efficiency of T7-LP was 3.7 times higher than that of LP on A2780 cells. The anti-proliferative activity of T7-LP-PTX against A2780 cells was much stronger compared to that of LP-PTX and free PTX, respectively. The homing specificity and anticancer efficacy of T7-LP-PTX were also evaluated on the tumor spheroids, which revealed that T7-LP-PTX was more efficaciously internalized into tumor cells than LP. Compared to LP, T7-LP-PTX showed the highest accumulation capability into tumor spheroids, and the greatest tumor growth inhibitory effect in vitro. In the in vivo study, the T7-LP-PTX showed the best inhibition effect of the tumor growth for the A2780-bearing mice and tumor accumulation. In brief, the T7-LP may be an efficient targeting drug delivery system for ovarian carcinoma.

Indexed as

liposomeOvarian carcinomatransferrin receptortumor targeting

Identifiers

PMID25663977
PMCPMC4307424
OpenAlexW2736408904

What OpenQuestion holds

Textmetadata
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.