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- Title
Biomarkers of susceptibility to radiation-related toxicities.
- Authors
Furfari, Anthony; Chan, Stephanie; Zaki, Pearl; Wan, Bo Angela; Rowbottom, Leigha; McDonald, Rachel; Azad, Azar; Chow, Ronald; DeAngelis, Carlo; Lam, Michael; Lam, Henry; Chow, Edward; Charames, George S.
- Abstract
Radiation therapy (RT) is a commonly used modality to treat cancer patients with either curative or palliative intent. However, RT may induce toxicities that range from being negligible to severe. Sometimes, radiationinduced toxicities may be dose-limiting, preventing patients from completing treatment and receiving the full benefit of RT. Genetic and protein biomarkers could potentially allow physicians to predict the risk of each patient developing a toxicity, thus improving patientcentred care and providing patients with more information to help them make treatment-related decisions. The aim of the present literature review was to summarize the findings of all human studies analysing the potential of different biomarkers in predicting the risk of toxicities in cancer patients receiving radiotherapy. In the present literature review, a search was conducted on Medline and Embase databases using keywords including "inflammation", "cancer", "radiation", "neoplasm", "cancer", "pain", "biological marker", "allele", and "genomics". The search generated 5,480 and seven were included in the final review. Several studies were able to find genetic variants significantly associated with increased or decreased risk of radiation-induced toxicities, and even generated risk scores that improved current models to more accurately predict this risk. Future studies should analyse more genes in larger sample sizes while considering factors including ethnicity, patient characteristics, and dosimetric factors.
- Subjects
HEAD tumors; NECK tumors; BIOMARKERS; CANCER patients; CONFIDENCE intervals; DATABASES; DRUG toxicity; MEDLINE; RADIATION; LITERATURE reviews; TERMINATION of treatment; DATA analysis software; TUMOR treatment
- Publication
Journal of Pain Management, 2017, Vol 10, Issue 3, p291
- ISSN
1939-5914
- Publication type
Article