ReviewCancer gene therapy2017
Imaging techniques: new avenues in cancer gene and cell therapy.
Review in Cancer gene therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Recent developments in translational imaging of in vivo gene therapy outcomes.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- CRISPR Technology in Cancer Diagnosis and Treatment: Opportunities and Challenges.Biochemical genetics · 2022Review
- Mistic: An open-source multiplexed image t-SNE viewer.Patterns (New York, N.Y.) · 2022Article
- Application of Genetically Encoded Molecular Imaging Probes in Tumor Imaging.Contrast media & molecular imaging · 2022Review
- The Fingerprints of Biomedical Science in Internal Medicine.Advances in experimental medicine and biology · 2022Article
- Identification of MicroRNAs as Diagnostic Biomarkers for Breast Cancer Based on the Cancer Genome Atlas.Diagnostics (Basel, Switzerland) · 2021Article
- Cancer stem cells and oral cancer: insights into molecular mechanisms and therapeutic approaches.Cancer cell international · 2020Review
- Triple-modal imaging of stem-cells labeled with multimodal nanoparticles, applied in a stroke model.World journal of stem cells · 2019Article
- Hematoxylin and eosin staining of intact tissues via delipidation and ultrasound.Scientific reports · 2018Article
- Apoptin Gene Delivery by the Functionalized Polyamidoamine (PAMAM) Dendrimer Modified with Ornithine Induces Cell Death of HepG2 Cells.Polymers · 2017Article
- Future trends and emerging issues for nanodelivery systems in oral and oropharyngeal cancer.International journal of nanomedicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is one of the world's most concerning health problems and poses many challenges in the range of approaches associated with the treatment of cancer. Current understanding of this disease brings to the fore a number of novel therapies that can be useful in the treatment of cancer. Among them, gene and cell therapies have emerged as novel and effective approaches. One of the most important challenges for cancer gene and cell therapies is correct monitoring of the modified genes and cells. In fact, visual tracking of therapeutic cells, immune cells, stem cells and genetic vectors that contain therapeutic genes and the various drugs is important in cancer therapy. Similarly, molecular imaging, such as nanosystems, fluorescence, bioluminescence, positron emission tomography, single photon-emission computed tomography and magnetic resonance imaging, have also been found to be powerful tools in monitoring cancer patients who have received therapeutic cell and gene therapies or drug therapies. In this review, we focus on these therapies and their molecular imaging techniques in treating and monitoring the progress of the therapies on various types of cancer.
Indexed as
Identifiers
27834357What 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.