ReviewDiscovery medicine2016
The potential for tumor suppressor gene therapy in head and neck cancer.
Review in Discovery medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 28 citations in OpenAlex.
- A Perspective on Therapeutic Targeting Against Ubiquitin Ligases to Stabilize Tumor Suppressor Proteins.Cancers · 2025Review
- Article
- Local and Systemic Delivery of the BimS Gene Nano-Complex for Efficient Oral Squamous Cell Carcinoma Therapy.International journal of nanomedicine · 2022Article
- Copy number alterations identify a smoking-associated expression signature predictive of poor outcome in head and neck squamous cell carcinoma.Cancer genetics · 2021Article
- FOXA1 Regulation Turns Benzamide HDACi Treatment Effect-Specific in BC, Promoting NIS Gene-Mediated Targeted Radioiodine Therapy.Molecular therapy oncolytics · 2020Article
- A combination of LightOn gene expression system and tumor microenvironment-responsive nanoparticle delivery system for targeted breast cancer therapy.Acta pharmaceutica Sinica. B · 2020Article
- Nuclear ING3 Expression Is Correlated With a Good Prognosis of Breast Cancer.Frontiers in oncology · 2020Article
- m1A Regulated Genes Modulate PI3K/AKT/mTOR and ErbB Pathways in Gastrointestinal Cancer.Translational oncology · 2019Article
- The Evolving Landscape of Gene Therapy in Plastic Surgery.Seminars in plastic surgery · 2019Review
- The genomic landscape of UM-SCC oral cavity squamous cell carcinoma cell lines.Oral oncology · 2018Article
- OverexpressingOncotarget · 2018Article
- Surveilling the Potential for Precision Medicine-driven PD-1/PD-L1-targeted Therapy in HNSCC.Journal of Cancer · 2017Review
- Gene Therapy: A Paradigm Shift in Dentistry.Genes · 2016Review
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 1 institution in 1 country.
Funding
Abstract
Head and neck squamous cell carcinoma remains a highly morbid and fatal disease. Importantly, genomic sequencing of head and neck cancers has identified frequent mutations in tumor suppressor genes. While targeted therapeutics increasingly are being investigated in head and neck cancer, the majority of these agents are against overactive/overexpressed oncogenes. Therapy to restore lost tumor suppressor gene function remains a key and under-addressed niche in trials for head and neck cancer. Recent advances in gene editing have captured the interest of both the scientific community and the public. As our technology for gene editing and gene expression modulation improves, addressing lost tumor suppressor gene function in head and neck cancers is becoming a reality. This review will summarize new techniques, challenges to implementation, future directions, and ethical ramifications of gene therapy in head and neck cancer.
Indexed as
Identifiers
26896601PMC4772772W2283327811What 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.