A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer

BACKGROUND: Most head and neck cancer (HNC) patients receive radiotherapy (RT) and develop toxicities. This genome-wide association study (GWAS) was designed to identify single nucleotide polymorphisms (SNPs) associated with common acute radiation-induced toxicities (RITs) in an HNC cohort. METHODS: A two-stage GWAS was performed in 1279 HNC patients treated with RT and prospectively scored for mucositis, xerostomia, sticky saliva, and dysphagia. The area under the curve (AUC) was used to estimate the average load of toxicity during RT. At the discovery study, multivariate linear regression was used in 957 patients, and the top-ranking SNPs were tested in 322 independent replication cohort. Next, the discovery and the replication studies were meta-analyzed. RESULTS: A region on 5q21.3 containing 16 SNPs showed genome-wide (GW) significance association at P-value < 5.0 × 10-8 with patient-rated acute xerostomia in the discovery study. The top signal was rs35542 with an adjusted effect size of 0.17*A (95% CI 0.12 to 0.23; P-value <  = 3.78 × 10-9). The genome wide significant SNPs were located within three genes (EFNA5, FBXL17, and FER). In-silico functional analysis showed these genes may be involved in DNA damage response and co-expressed in minor salivary glands. We found 428 suggestive SNPs (P-value < 1.0 × 10-5) for other toxicities, taken to the replication study. Eleven of them showed a nominal association (P-value < 0.05). CONCLUSIONS: This GWAS suggested novel SNPs for patient-rated acute xerostomia in HNC patients. If validated, these SNPs and their related functional pathways could lead to a predictive assay to identify sensitive patients to radiation, which may eventually allow a more individualized RT treatment

Impact of sarcopenia on acute radiation-induced toxicity in head and neck cancer patients

Background and purpose: Sarcopenia is related to late radiation-induced toxicities and worse survival in head and neck cancer (HNC) patients. This study tested the hypothesis that sarcopenia improves the performance of current normal tissue complication probability (NTCP) models of radiation-induced acute toxicity in HNC patients. Material/methods: This was a retrospective analysis in a prospective cohort of HNC patients treated from January 2007 to December 2018 with (chemo)radiotherapy. Planning CT scans were used for evaluating skeletal muscle mass. Characteristics of sarcopenic and non-sarcopenic patients were compared. The impact of sarcopenia was analysed by adding sarcopenia to the linear predictors of current NTCP models predicting physician- and patient-rated acute toxicities. Results: The cut-off values of sarcopenia in the study population (n = 977) were established at skeletal muscle index = 2, p = 3 dysphagia (week 3-6 during RT, p 0.99). Conclusion: Sarcopenia in HNC patients was an independent prognostic factor for radiation-induced physician-rated acute grade >= 3 dysphagia, which might be explained by its impact on swallowing muscles. However, addition of sarcopenia did not improve the NTCP model performance. (c) 2022 The Author(s). Published by Elsevier B.V. Radiotherapy and Oncology 170 (2022) 122-128 This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Additional file 2 of A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer

Additional file 2: Table S6: Genome wide significant SNPs asscoiated with patient-rated acute xerostomia. Table S7: Suggestive SNPs associated with patient-rated acute xerostomia. Table S8: Suggestive SNPs associated with physician-rated acute xerostomia. Table S9: Suggestive SNPs associated with physician-rated acute dysphagia. Table S10: Suggestive SNPs associated with patient-rated acute sticky saliva. Table S11: Suggestive SNPs associated with physician-rated acute sticky saliva. Table S12: Suggestive SNPs associated with physician-rated acute mucositis. Table S13: Suggestive SNPs associated with STATphysician. Table S14: Suggestive SNPs associated with STATpatien