Evidence map›Paper›PMID 23255947›Full record

ArticleOncology letters2013

Adenovirus-mediated combined anti-angiogenic and pro-apoptotic gene therapy enhances antitumor efficacy in hepatocellular carcinoma.

Fei Yan, Yi Zheng, Laiqiang Huang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Fei YanThe Shenzhen Key Lab of Gene and Antibody Therapy, Center for Biotech and Bio-Medicine and Division of Life Sciences, Graduate School at Shenzhen, Tsinghua University; ; Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Yi Zheng
Laiqiang Huang
University Town of Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A previous study reported that combinatorial human endostatin and soluble tumor necrosis factor (TNF)-related apoptosis-inducing ligand (sTRAIL) gene transfer suppresses human hepatocellular carcinoma (HCC) growth and angiogenesis using the pVAX1 plasmid vector. The current study investigated the antitumor efficacy in HCC through adenovirus-mediated combination gene therapy. Human endostatin and sTRAIL (114 to 281 AA) genes were amplified and cloned into the Adeno-X expression vector. The recombinant adenoviruses (Ad-E and Ad-T) were packaged, amplified in the HEK 293 cells and used to infect human umbilical vein endothelial cells (HUVECs) and HepG2 cells, respectively. The results revealed that a significant cell growth inhibition was observed in the two types of cells using a cell viability assay. Intratumoral administration with Ad-E and Ad-T revealed a significant enhanced regression of the tumors compared with treatment with either recombinant adenovirus alone. Histology and immunohistochemistry examination further indicated that the inhibition of tumor growth appeared to result from increased apoptosis and reduced angiogenesis in tumor xenografts. In conclusion, these data further confirm the enhancement of antitumor efficacy through combined endostatin and TRAIL gene therapy and provide a promising application prospect by virtue of adenovirus-mediated anti-angiogenic and pro-apoptotic cancer gene therapy.

Identifiers

PMID23255947
PMCPMC3525476
OpenAlexW2058428836

What OpenQuestion holds

Textmetadata
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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.