RESUMO
BACKGROUND: Chronic rhinosinusitis (CRS) has a negative impact on health-related quality of life (HRQoL). Functional endoscopic sinus surgery (FESS) is the treatment of choice for those not responding to medical treatments. To date, the short-term effects of FESS on HRQoL are still unclear. OBJECTIVE: Evaluation of the short-term effects of FESS on HRQoL in CRS patients using the SNOT-22 questionnaire. METHODS: The results of the validated German version of the Sino-Nasal Outcome Test-22 (SNOT-22) questionnaire were analysed from 89 patients with CRS before surgery and 10-14 days (n = 77), four (n = 77), six weeks (n = 76) and 6 months (n = 71) after FESS, and compared with those of 1,000 healthy controls selected using a non-probability quota sample in accordance to the distribution of the German Microcensus. RESULTS: Compared to the preoperative mean SNOT-22 score (47.35), CRS patients significantly improved in HRQoL 10-14 days (31.75, p < 0.01), 4 weeks (25.84, p < 0.01), 6 weeks (24.16, p < 0.01) and 6 months after FESS (27.16, p < 0.01). Pre- and 6 months postoperatively, the five most important SNOT-22 items were nasal obstruction, smell and taste reduction, thick, mucous nasal secretions, need to blow the nose and postnasal drip. At the 2, 4 and 6-week follow-up, the reduction in smell and taste was most frequently perceived as limiting the HRQoL. CONCLUSIONS: This follow-up study shows for the first time that the reduction in smell and taste should be treated and controlled concervatively in the short term after FESS.
RESUMO
Perineural invasion is a prevalent pathological finding in head and neck squamous cell carcinoma and a risk factor for unfavorable survival. An adequate diagnosis of perineural invasion by pathologic examination is limited due to the availability of tumor samples from surgical resection, which can arise in cases of definitive nonsurgical treatment. To address this medical need, we established a random forest prediction model for the risk assessment of perineural invasion, including occult perineural invasion, and characterized distinct cellular and molecular features based on our new and extended classification. RNA sequencing data of head and neck squamous cell carcinoma from The Cancer Genome Atlas were used as a training cohort to identify differentially expressed genes that are associated with perineural invasion. A random forest classification model was established based on these differentially expressed genes and was validated by inspection of H&E-stained whole image slides. Differences in epigenetic regulation and the mutational landscape were detected by an integrative analysis of multiomics data and single-cell RNA-sequencing data were analyzed. We identified a 44-gene expression signature related to perineural invasion and enriched for genes mainly expressed in cancer cells according to single-cell RNA-sequencing data. A machine learning model was trained based on the expression pattern of the 44-gene set with the unique feature to predict occult perineural invasion. This extended classification model enabled a more accurate analysis of alterations in the mutational landscape and epigenetic regulation by DNA methylation as well as quantitative and qualitative differences in the cellular composition in the tumor microenvironment between head and neck squamous cell carcinoma with or without perineural invasion. In conclusion, the newly established model could not only complement histopathologic examination as an additional diagnostic tool but also guide the identification of new drug targets for therapeutic intervention in future clinical trials with head and neck squamous cell carcinoma patients at a higher risk for treatment failure due to perineural invasion.
