Evidence map›Paper›PMID 26893558›Full record

ArticleInternational journal of nanomedicine2016

Efficient inhibition of ovarian cancer by degradable nanoparticle-delivered survivin T34A gene.

Li Luo, Ting Du, Jiumeng Zhang, Wei Zhao, Hao Cheng, Yuping Yang, Yujiao Wu, Chunmei Wang, Ke Men, Maling Gou

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Recent Progress in Gene Therapy for Ovarian Cancer.International journal of molecular sciences · 2018
    Review
  4. Article
  5. Nanomedicine applications in women's health: state of the art.International journal of nanomedicine · 2018
    Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Li LuoState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Ting DuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Jiumeng ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Wei ZhaoDepartment of Thoracic Oncology, Cancer Center, West China Hospital, Medical School, Sichuan University, Chengdu, People's Republic of China.
Hao ChengState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Yuping YangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Yujiao WuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Chunmei WangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Ke MenState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Maling GouState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, People's Republic of China.
Sichuan University · CNState Key Laboratory of Biotherapy

Funding

Reducing STIs in Emerging Adults Who Use Alcohol and MarijuanaR01AA020509 · NIAAA · BUTLER HOSPITAL (PROVIDENCE, RI) · PI STEIN, MICHAEL D · 2011 to 2015
$2.7M
NIAAA NIH HHS R01 AA020509
6 · The paper itself

Abstract

Gene therapy has promising applications in ovarian cancer therapy. Blocking the function of the survivin protein could lead to the growth inhibition of cancer cells. Herein, we used degradable heparin-polyethyleneimine (HPEI) nanoparticles to deliver a dominant-negative human survivin T34A (hs-T34A) gene to treat ovarian cancer. HPEI nanoparticles were characterized and were found to have a dynamic diameter of 66±4.5 nm and a zeta potential of 27.1±1.87 mV. The constructed hs-T34A gene expression plasmid could be effectively delivered into SKOV3 ovarian carcinoma cells by HPEI nanoparticles with low cytotoxicity. Intraperitoneal administration of HPEI/hs-T34A complexes could markedly inhibit tumor growth in a mouse xenograft model of SKOV3 human ovarian cancer. Moreover, according to our results, apparent apoptosis of cancer cells was observed both in vitro and in vivo. Taken together, the prepared HPEI/hs-T34A formulation showed potential applications in ovarian cancer gene therapy.

Indexed as

NanoparticlesAnimalsApoptosisApoptosis Regulatory ProteinsFemaleGenetic TherapyHeparinHumansInjections, IntraperitonealMice, Inbred BALB COvarian NeoplasmsPlasmidsPolyethyleneimineRats, Sprague-DawleyRecombinant Fusion ProteinsSurvivinApoptosis Regulatory ProteinsHeparinHIV-TAT-survivin (T34A) proteinPolyethyleneimineRecombinant Fusion ProteinsSurvivintat Gene Products, Human Immunodeficiency Virusgene therapyheparin–polyethyleneimine nanoparticleshuman survivin T34Aovarian cancer

Identifiers

PMID26893558
PMCPMC4745847
OpenAlexW2261608476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.