ArticleMolecular oncology2013
Suppression of the growth of human colorectal cancer cells by therapeutic stem cells expressing cytosine deaminase and interferon-β via their tumor-tropic effect in cellular and xenograft mouse models.
Article in Molecular oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 52 citations in OpenAlex.
- Thermoresponsive Graft Copolymers ofACS omega · 2026Article
- Optimizing lipopeptide bioactivity: The impact of non-ionic surfactant dressing.Journal of pharmaceutical analysis · 2024Article
- Enhanced anti-tumor efficacy with multi-transgene armed mesenchymal stem cells for treating peritoneal carcinomatosis.Journal of translational medicine · 2024Article
- Applications of Innovation Technologies for Personalized Cancer Medicine: Stem Cells and Gene-Editing Tools.ACS pharmacology & translational science · 2023Review
- Nerves in gastrointestinal cancer: from mechanism to modulations.Nature reviews. Gastroenterology & hepatology · 2022Review
- A Potential Therapy Using Engineered Stem Cells Prevented Malignant Melanoma in Cellular and Xenograft Mouse Models.Cancer research and treatment · 2019Article
- A promising therapeutic strategy for metastatic gestational trophoblastic disease: Engineered anticancer gene-expressing stem cells to selectively target choriocarcinoma.Oncology letters · 2019Review
- Cancer-Specific Inhibitory Effects of Genetically Engineered Stem Cells Expressing Cytosine Deaminase and Interferon-β Against Choriocarcinoma in Xenografted Metastatic Mouse Models.Translational oncology · 2018Article
- Stem cells in cancer therapy: opportunities and challenges.Oncotarget · 2017Review
- Role of Type I and II Interferons in Colorectal Cancer and Melanoma.Frontiers in immunology · 2017Review
- Anti-proliferative Effect of Engineered Neural Stem Cells Expressing Cytosine Deaminase and Interferon-β against Lymph Node-Derived Metastatic Colorectal Adenocarcinoma in Cellular and Xenograft Mouse Models.Cancer research and treatment · 2017Article
- Article
- Anti-colorectal cancer effect of interleukin-2 and interferon-β fusion gene driven by carcinoembryonic antigen promoter.OncoTargets and therapy · 2016Article
- Co-treatment with therapeutic neural stem cells expressing carboxyl esterase and CPT-11 inhibit growth of primary and metastatic lung cancers in mice.Oncotarget · 2014Article
- Anticancer effects of the engineered stem cells transduced with therapeutic genes via a selective tumor tropism caused by vascular endothelial growth factor toward HeLa cervical cancer cells.Molecules and cells · 2013Article
- Development and application of neural stem cells for treating various human neurological diseases in animal models.Laboratory animal research · 2013Review
- Suppression of the growth of human colorectal cancer cells by therapeutic stem cells expressing cytosine deaminase and interferon-β via their tumor-tropic effect in cellular and xenograft mouse models.Molecular oncology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetically engineered stem cells (GESTECs) exhibit a potent therapeutic efficacy via their strong tumor tropism toward cancer cells. In this study, we introduced the human parental neural stem cells, HB1.F3, with the human interferon beta (IFN-β) gene which is a typical cytokine gene that has an antitumor effect and the cytosine deaminase (CD) gene from Escherichia coli (E. coli) that could convert the non-toxic prodrug, 5-fluorocytosine (5-FC), to a toxic metabolite, 5-fluorouracil (5-FU). Two types of stem cells expressing the CD gene (HB1.F3.CD cells) and both the CD and human IFN-β genes (HB1.F3.CD.IFN-β) were generated. The present study was performed to examine the migratory and therapeutic effects of these GESTECs against the colorectal cancer cell line, HT-29. When co-cultured with colorectal cancer cells in the presence of 5-FC, HB1.F3.CD and HB1.F3.CD.IFN-β cells exhibited the cytotoxicity on HT-29 cells via the bystander effect. In particular, HB1.F3.CD.IFN-β cells showed the synergistic cytotoxic activity of 5-FU and IFN-β. We also confirmed the migration ability of HB1.F3.CD and HB1.F3.CD.IFN-β cells toward HT-29 cells by a modified migration assay in vitro, where chemoattractant factors secreted by HT-29 cells attracted the GESTECs. In a xenograft mouse model, the volume of tumor mass was decreased up to 56% in HB1.F3.CD injected mice while the tumor mass was greatly inhibited about 76% in HB1.F3.CD.IFN-β injected mice. The therapeutic treatment by these GESTECs is a novel strategy where the combination of the migration capacity of stem cells as a vector for therapeutic genes towards colorectal cancer and a synergistic antitumor effect of CD and IFN-β genes can selectively target this type of cancer.
Indexed as
Identifiers
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.