ArticleCancer gene therapy2001
Adenovirus-mediated gene transfer to orthotopic hepatocellular carcinomas in athymic nude mice.
Article in Cancer gene therapy, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 15 citations in OpenAlex.
- Human mesenchymal stem cells overexpressing pigment epithelium-derived factor inhibit hepatocellular carcinoma in nude mice.Oncogene · 2010Article
- p53 gene in treatment of hepatic carcinoma: status quo.World journal of gastroenterology · 2007Review
- Bifunctional chimeric SuperCD suicide gene -YCD: YUPRT fusion is highly effective in a rat hepatoma model.World journal of gastroenterology · 2005Article
- Suppression of pancreatic tumor growth in the liver by systemic administration of the TRAIL gene driven by the hTERT promoter.Cancer gene therapy · 2005Article
- Adenovirus-mediated in vivo B7-1 gene transfer induces anti-tumor immunity against pre-established primary tumor and pulmonary metastasis of rat osteosarcoma.Cancer gene therapy · 2002Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
Gene therapy may become an option for the treatment of malignant tumors such as hepatocellular carcinoma (HCC), once safe and efficient vector systems have been established. Due to their stability in vivo, recombinant adenoviral vectors are promising vectors for gene delivery to HCC. To study the characteristics of gene delivery into HCCs by recombinant adenoviral vectors in vivo, we established an in situ HCC model in the livers of athymic nude mice by intrahepatic injection of human HCC cells. Recombinant adenovirus vectors expressing beta-galactosidase (Ad2CMV beta gal) were injected via the tail vein of mice bearing HCC or directly into intrahepatic tumors. Levels of beta-galactosidase expression in tumor tissue and surrounding normal liver were analyzed by histochemistry or for quantification by a chemiluminescence assay in tissue homogenates. Following tail vein injection, high levels of beta-galactosidase expression were found in the liver, but virtually no gene expression could be detected in the tumor tissue. In contrast, after direct injection of Ad2CMV beta gal into intrahepatic HCCs, high levels of beta-galactosidase expression were detected in the tumor tissue. However, single transduced hepatocytes scattered throughout the normal liver could also be identified. These results indicate that barriers such as the endothelial lining of the tumor vasculature impair the efficiency of adenoviral vectors for gene delivery into HCCs by intravenous administration, which can be overcome by direct injection into the tumor tissue. However, due to the observed transduction of disseminated hepatocytes following intratumoral administration, additional HCC-specific targeting to further enhance the safety of adenoviral vectors may be required.
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What OpenQuestion holds
Registered trials
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.