ReviewJournal of clinical and experimental dentistry2019
Salivary Cytokines in patients with Head and Neck Cancer (HNC) treated with Radiotherapy.
Review in Journal of clinical and experimental dentistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Effect of Dendrobium Officinale on Radioactive Oral Mucositis of Nasopharyngeal Carcinoma and Changes of Oral Microecology.Integrative cancer therapiesTrial
- Cytokine Toxicity and Bacterial Dysbiosis in Chemotherapy- and/or Radiotherapy-Induced Oral Mucositis: Pathophysiological Mechanisms and Therapeutic Interventions.Life (Basel, Switzerland) · 2026Review
- Review
- Predictive and prognostic value of inflammatory factors (IL-6, IL-8, and TNF-α) in saliva for radiotherapy response in patients with HPV-associated oropharyngeal squamous cell carcinoma.Discover oncology · 2025Article
- Induction of Collagenolytic MMP-8 and -9 Tissue Destruction Cascade in Mouth by Head and Neck Cancer Radiotherapy: A Cohort Study.Biomedicines · 2023Article
- Mitogen-activated protein kinase-activated protein kinase-2 (MK2) and its role in cell survival, inflammatory signaling, and migration in promoting cancer.Molecular carcinogenesis · 2022Article
- Salivary IL-8 as a putative predictive biomarker of radiotherapy response in head and neck cancer patients.Clinical oral investigations · 2022Article
- Chemokine-Cytokine Networks in the Head and Neck Tumor Microenvironment.International journal of molecular sciences · 2021Review
- Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHead and Neck cancer (HNC) is the sixth most common cancer in the world. The 5-year survival rate depends on early diagnosis and appropriate therapy. Typically, late diagnosis requires not only surgical intervention, but also radiotherapy treatment combined or not with chemotherapy. Ionizing radiation is known to increase the expression of a number of cytokines involved in inflammation, wound healing and toxicity areas. Salivary cytokines have promising features to be used as biomarkers for disease screening and outcome prediction in this malignancy. The aim of this article is to analyze the role of salivary inflammatory response elements in HNC patients treated with radiotherapy, their modulation and association with the treatment outcome. MATERIAL AND
methodsA bibliographical search was performed on Pubmed, Cochrane and Embase using the following keywords: cytokines, saliva, head and neck cancer, radiotherapy. The cut-off point for the research were scientific papers published over the last 10 years. After a two-step selection process, 15 articles were identified and subjected to review.
resultsRadiotherapy treatment was shown to influence a number of salivary cytokines. A trend towards a growth of IL-1β, IL-6, IL-8, MCP-1, and TNF-α levels was observed and it correlated with the irradiation dose.
conclusionsThe analysis of salivary cytokines could be a useful biomarker for predicting radiotherapy outcome in HNC. However, large-scale investigations are required to validate the use of these cytokines in predicting and diagnosing HNC, as well as evaluating the response to the treatment.
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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.