Prognostic and Predictive Biomarkers in Head and Neck Squamous Cell Carcinoma Treated with Radiotherapy-A Systematic Review.
Daniel H SchanneAlexander KochOlgun EliçinRoland GigerMichaela MedováYitzhak ZimmerDaniel Matthias AebersoldPublished in: Biomedicines (2022)
Background : Radiotherapy is a mainstay in head and neck squamous cell carcinoma (HNSCC) treatment but is mostly applied without stratification by molecular diagnostics. Development of reliable biomarkers may have the potential to improve radiotherapy (RT) efficacy and reduce toxicity. We conducted a systematic review to summarize the field of biomarkers in HNSCC treated by RT. Methods : Pubmed and EMBASE were searched independently by two researchers following pre-defined inclusion and exclusion criteria. Z curves were generated to investigate publication bias. OncoKB was used for identification of druggable targets. Results : 134 manuscripts remained for data extraction. 12% of tumors were AJCC/UICC stage I-II and 82% were stage III-IV. The most common biomarkers were proteins (39%), DNA (14%) and mRNA (9%). Limiting analysis to prospective data and statistically significant results, we found three potentially druggable targets: ERCC2, PTCH1 and EGFR. Regarding data quality, AJCC/UICC stage was missing in 32% of manuscripts. 73% of studies were retrospective and only 7% were based on prospective randomized trials. Z-curves indicated the presence of publication bias. Conclusion : An abundance of potential biomarkers in HNSCC is available but data quality is limited by retrospective collection, lack of validation and publication bias. Improved study design and reporting quality might accelerate successful development of personalized treatments in HNSCC.
Keyphrases
- electronic health record
- early stage
- big data
- radiation therapy
- locally advanced
- radiation induced
- cross sectional
- data analysis
- oxidative stress
- machine learning
- quality improvement
- epidermal growth factor receptor
- single molecule
- newly diagnosed
- adverse drug
- microbial community
- risk assessment
- combination therapy
- dna damage
- circulating tumor
- nucleic acid
- smoking cessation