Potential Single Nucleotide Polymorphisms markers for radiation dermatitis in head and neck cancer patients: a meta-analysis
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View abstract on PubMed
Summary
This summary is machine-generated.Common genetic markers like XRCC3, TGFβ1, and RAD51 may predict acute radiation dermatitis risk in head and neck cancer patients. Analyzing these Single Nucleotide Polymorphisms (SNPs) before treatment could personalize radiotherapy.
Area Of Science
- Oncology
- Genetics
- Radiotherapy
Background
- Acute radiation dermatitis (RD) is a common side effect of radiotherapy for head and neck cancers.
- Identifying patients at higher risk for severe RD is crucial for personalized treatment strategies.
- Genetic factors, specifically Single Nucleotide Polymorphisms (SNPs), are being investigated as potential predictors of RD susceptibility.
Purpose Of The Study
- To identify Single Nucleotide Polymorphisms (SNPs) associated with susceptibility to acute radiation dermatitis (RD) in head and neck cancer patients.
- To evaluate the association between identified SNPs and the severity of RD.
- To provide insights into genetic predispositions for radiation-induced skin toxicity.
Main Methods
- Systematic review conducted following PRISMA guidelines.
- Proportion meta-analysis used to determine the prevalence of genetic markers by geographical region and RD severity.
- Meta-analysis performed to assess the association between genetic markers and RD severity.
- Certainty of evidence evaluated using GRADE criteria.
Main Results
- Thirteen studies were included in the review.
- The most prevalent SNPs identified were XRCC3 (rs861639) (36%), TGFβ1 (rs1800469) (35%), and RAD51 (rs1801321) (34%).
- SNP prevalence was similar across Europe and Asia (29-40%).
- Higher SNP prevalence (75-76%) was observed in patients who developed RD.
- No SNP demonstrated a statistically significant association with RD severity, with very low certainty of evidence.
Conclusions
- Prevalent SNPs, including XRCC3, TGFβ1, and RAD51, may serve as predictors for acute RD.
- Pre-treatment SNP analysis could offer a promising approach to predict RD risk.
- Personalized treatment strategies can be developed for radiosensitive patients.
- This review highlights new avenues for research in radiation oncology and genetic susceptibility.
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