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Purpose Tonsillectomies are among the most common surgeries in otorhinolaryngology. A novel electrosurgical temperature-controlled instrument (device) promises rapid tonsillectomies and might reduce postoperative pain, but comparative studies to assess performance are warranted. Methods This randomized self-controlled clinical trial was conducted from October 2019 to October 2020 at the Department of Otorhinolaryngology, Head and Neck Surgery of the Medical University of Vienna. Forty-eight patients underwent a tonsillectomy with the device on one side and using cold-steel with localized bipolar cauterization on the other side (control). Main outcomes were the time for tonsil removal (per side) and the time to stop bleeding (per side). Secondary measurements were postoperative pain, assessed once on day 0 and five times on days 1, 3, 5, 7, and 10. Postoperative bleeding episodes and consequences were recorded. Results Device tonsillectomies were performed significantly faster than controls; the mean surgical time difference was 209 s (p < 0.001, 95% CI 129; 288). Intraoperative blood loss was significantly lower on the device side (all p < 0.05). Postoperative measurements of pain and bleeding were similar for both sides. Two return-to-theatre secondary bleeding events were recorded for the control side. Conclusion The novel electrosurgical temperature-controlled divider reduced the tonsillectomy surgical time and intraoperative blood loss, with no apparent negative effects on postoperative pain or bleeding, compared to a cold-steel tonsillectomy with localized bipolar cauterization. In time-restricted settings, the device could be beneficial, particularly after familiarization with device handling. Trial registration ClinicalTrials.gov Identifier: < Blinded for review >

Purpose The transcription factors YY1 and CP2 have been associated with tumor promotion and suppression in various cancers. Recently, simultaneous expression of both markers was correlated with negative prognosis in cancer. The aim of this study was to explore the expression of YY1 and CP2 in head and neck squamous cell carcinoma (HNSCC) patients and their association with survival. Methods First, we analyzed mRNA expression and copy number variations (CNVs) of YY1 and CP2 using “The Cancer Genome Atlas” (TCGA) with 510 HNSCC patients. Secondly, protein expression was investigated via immunohistochemistry in 102 patients, who were treated in the Vienna General Hospital, utilizing a tissue microarray. Results The median follow-up was 2.9 years (1.8–4.6) for the TCGA cohort and 10.3 years (6.5–12.8) for the inhouse tissue micro-array (TMA) cohort. The median overall survival of the TCGA cohort was decreased for patients with a high YY1 mRNA expression (4.0 vs. 5.7 years, p = 0.030, corr. p = 0.180) and high YY1-CNV (3.53 vs. 5.4 years, p = 0.0355, corr. p = 0.213). Furthermore, patients with a combined high expression of YY1 and CP2 mRNA showed a worse survival (3.5 vs. 5.4 years, p = 0.003, corr. p = 0.018). The mortality rate of patients with co-expression of YY1 and CP2 mRNA was twice as high compared to patients with low expression of one or both (HR 1.99, 95% CI 1.11–3.58, p = 0.021). Protein expression of nuclear YY1 and CP2 showed no association with disease outcome in our inhouse cohort. Conclusion Our data indicate that simultaneous expression of YY1 and CP2 mRNA is associated with shorter overall survival. Thus, combined high mRNA expression might be a suitable prognostic marker for risk stratification in HNSCC patients. However, since we could not validate this finding at genomic or protein level, we hypothesize that unknown underlying mechanisms which regulate mRNA transcription of YY1 and CP2 are the actual culprits leading to a worse survival.

Purpose Head and neck squamous cell carcinomas (HNSCCs) are a molecularly, histologically, and clinically heterogeneous set of tumors originating from the mucosal epithelium of the oral cavity, pharynx, and larynx. This heterogeneous nature of HNSCC is one of the main contributing factors to the lack of prognostic markers for personalized treatment. The aim of this study was to develop and identify multi-omics markers capable of improved risk stratification in this highly heterogeneous patient population. Methods In this retrospective study, we approached this issue by establishing radiogenomics markers to identify high-risk individuals in a cohort of 127 HNSCC patients. Hybrid in vivo imaging and whole-exome sequencing were employed to identify quantitative imaging markers as well as genetic markers on pathway-level prognostic in HNSCC. We investigated the deductibility of the prognostic genetic markers using anatomical and metabolic imaging using positron emission tomography combined with computed tomography. Moreover, we used statistical and machine learning modeling to investigate whether a multi-omics approach can be used to derive prognostic markers for HNSCC. Results Radiogenomic analysis revealed a significant influence of genetic pathway alterations on imaging markers. A highly prognostic radiogenomic marker based on cellular senescence was identified. Furthermore, the radiogenomic biomarkers designed in this study vastly outperformed the prognostic value of markers derived from genetics and imaging alone. Conclusion Using the identified markers, a clinically meaningful stratification of patients is possible, guiding the identification of high-risk patients and potentially aiding in the development of effective targeted therapies. Graphical abstract