ReviewCancer gene therapy2006
Gene therapy for carcinoma of the breast.
Review in Cancer gene therapy, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 44 citations in OpenAlex.
- Breast cancer immunotherapy: a comprehensive review.Clinical and experimental medicine · 2023Review
- Role of p53 suppression in the pathogenesis of hepatocellular carcinoma.World journal of gastrointestinal pathophysiology · 2023Review
- An iridium(iii)-based irreversible protein-protein interaction inhibitor of BRD4 as a potent anticancer agent.Chemical science · 2015Article
- Construction and detection of the tissue-specific pINV-HPV16 E6/7 vector.Oncology letters · 2015Article
- Design of potential siRNA molecules for hepatitis delta virus gene silencing.Bioinformation · 2012Article
- Design of potential siRNA molecules for T antigen gene silencing of Merkel Cell Polyomavirus.Bioinformation · 2012Article
- Adenovirus 5 E1A enhances histone deacetylase inhibitors-induced apoptosis through Egr-1-mediated Bim upregulation.Oncogene · 2010Article
- AC133+ progenitor cells as gene delivery vehicle and cellular probe in subcutaneous tumor models: a preliminary study.BMC biotechnology · 2009Article
- The molecular genetics of breast cancer and targeted therapy.Biologics : targets & therapy · 2007Article
- p53 gene in treatment of hepatic carcinoma: status quo.World journal of gastroenterology · 2007Review
- Inhibition of growth of cervical cancer cells using a dominant negative estrogen receptor gene.Gynecologic oncology · 2007Article
- Gene therapy for carcinoma of the breast: Genetic ablation strategies.Breast cancer research : BCR · 2000Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
In view of the limited success of available treatment modalities for breast cancer, alternative and complementary strategies need to be developed. The delineation of the molecular basis of breast cancer provides the possibility of specific intervention by gene therapy through the introduction of genetic material for therapeutic purposes. In this regard, several gene therapy approaches for carcinoma of the breast have been developed. These approaches can be divided into six broad categories: (1) mutation compensation, (2) molecular chemotherapy, (3) proapoptotic gene therapy, (4) antiangiogenic gene therapy, (5) genetic immunopotentiation, and (6) genetic modulation of resistance/sensitivity. Clinical trials for breast cancer have been initiated to evaluate safety, toxicity, and efficacy. Combined modality therapy with gene therapy and chemotherapy or radiation therapy has shown promising results. It is expected that as new therapeutic targets and approaches are identified and advances in vector design are realized, gene therapy will play an increasing role in clinical breast cancer treatment.
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.