With the increase in long-term survivorship of head and neck cancer (HNC), the functional outcomes are gaining importance. We reported the functional outcomes of HNC patients using the HNC-Functional InTegrity (FIT) Scales, which is a validated tool for the rapid clinical assessment of functional status based on observable clinical criteria. Patients with newly diagnosed HNC treated at the Medical University of Innsbruck between 2008 and 2020 were consecutively included, and their status in the six functional domains of food-intake, breathing, speech, pain, mood, and neck and shoulder mobility was scored by the treating physician at oncological follow-up visits on a scale from 0 (loss of function) to 4 (full function). HNC-FIT scales were available for 681 HNC patients at a median of 35 months after diagnosis. The response status was complete remission in 79.5%, 18.1% had recurrent or persistent disease, and 2.4% had a second primary HNC. Normal or near-normal scores (3 and 4) were seen in 78.6% for food intake, 88.7% for breathing, 83.7% for speech, 89% for pain, 91.8% for mood, and 87.5% for neck and shoulder mobility. A normal or near-normal outcome in all six functional domains was observed in 61% of patients. Clinically relevant impairment (score 1–2) in at least one functional domain was observed in 30%, and 9% had loss of function (score 0) in at least one functional domain. The main factors associated with poor functional outcome in a multivariable analysis were recurrence or persistent disease, poor general health (ASA III and IV), and higher T stage. Particularly, laryngeal and hypopharyngeal tumors impaired breathing and speech function, and primary radiation therapy or concomitant systemic therapy and radiotherapy worsened food intake. Clinically relevant persistent functional deficits in at least one functional domain must be expected in 40% of the patients with HNC. The treatment of these functional deficits is an essential task of oncologic follow-up.

Locally-advanced head and neck squamous cell carcinoma (HNSCC) is mainly defined by the presence of pathologic cervical lymph nodes (LNs) with or without extracapsular spread (ECS). Current radiologic criteria to classify LNs as non-pathologic, pathologic, or pathologic with ECS are primarily shape-based. However, significantly more quantitative information is contained within imaging modalities. This quantitative information could be exploited for classification of LNs in patients with locally-advanced HNSCC by means of artificial intelligence (AI). Currently, various reviews exploring the role of AI in HNSCC are available. However, reviews specifically addressing the current role of AI to classify LN in HNSCC-patients are sparse. The present work systematically reviews original articles that specifically explore the role of AI to classify LNs in locally-advanced HNSCC applying Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and the Study Quality Assessment Tool of National Institute of Health (NIH). Between 2001 and 2022, out of 69 studies a total of 13 retrospective, mainly monocentric, studies were identified. The majority of the studies included patients with oropharyngeal and oral cavity (9 and 7 of 13 studies, respectively) HNSCC. Histopathologic findings were defined as reference in 9 of 13 studies. Machine learning was applied in 13 studies, 9 of them applying deep learning. The mean number of included patients was 75 (SD ± 72; range 10–258) and of LNs was 340 (SD ± 268; range 21–791). The mean diagnostic accuracy for the training sets was 86% (SD ± 14%; range: 43–99%) and for testing sets 86% (SD ± 5%; range 76–92%). Consequently, all of the identified studies concluded AI to be a potentially promising diagnostic support tool for LN-classification in HNSCC. However, adequately powered, prospective, and randomized control trials are urgently required to further assess AI’s role in LN-classification in locally-advanced HNSCC.

Background: Epithelial to mesenchymal transition (EMT) promotes therapy resistance in head and neck cancer (HNC) cells. In this study, EMT was quantified in HNC tumor samples by the cellular co-localization of cytokeratin/vimentin, E-cadherin/β-catenin and by Slug expression. Methods: Tissue samples from HNC patients were stained with antibody pairs against cytokeratin/vimentin and E-cadherin/β-catenin. Epithelial–mesenchymal co-localization was quantified using immunofluorescence multichannel image cytometry. Double positivity was confirmed using confocal microscopy. Slug was semi-quantified by 2 specialists and quantified by bright field image cytometry. Results: Tumor samples of 102 patients were investigated. A loss of E-cadherin positive cells (56.9 ± 2.6% vs. 97.9 ± 1.0%; p < 0.0001) and E-cadherin/β-catenin double positive cells (15.4 ± 5.7% vs. 85.4 ± 1.2%; p < 0.0001) was observed in tumor samples. The percentage of Slug positive cells was increased in tumor samples (12.1 ± 3.6% vs. 3.2 ± 2.6%; p = 0.001). Ordinal Slug scores judged by two specialists closely correlated with percentage of Slug-positive cells (Spearman’s rho = 0.81; p < 0.001). Slug score correlated negatively with the percentage of E-cadherin positive cells (r = 0.4; p = 0.006), the percentage of E-cadherin/β-catenin positive cells (r = 0.5; p = 0.001) and positively with cytokeratin/vimentin positive cells (r = 0.4, p = 0.003). Conclusion: EMT can be assessed in HNC tumor probes by cytokeratin/vimentin co-expression and loss of E-cadherin/β-catenin co-expression. Slug score provides a convenient surrogate marker for EMT.

The Sino-Nasal-Outcome-Test-22 (SNOT-22) represents the reference questionnaire to assess symptoms, health-related quality-of-life (HRQOL) and treatment-response in patients with chronic rhinosinusitis (CRS). The SNOT-22 has been validated for various languages, yet no validation is available for the German version. Thus, we provide a validation of the SNOT-22 for German. In this prospective observational study 139 CRS-patients and 36 control-participants were included. CRS-patients completed the German-SNOT-22 before treatment (T0) and four (T1), twelve (T2) and 48 weeks after inclusion (T3). At T0, Mackay-Naclerio-, Lund-Mackay- and Brief-Symptom-Inventory-18 (BSI-18) scores were collected as external reference for the German-SNOT-22 and its subscales. At T1, T2, and T3 health-transition-items (HTIs) were raised to explore responsivity. Control-participants completed the German-SNOT-22 at T0. Reliability (internal consistency, item-total correlation), validity (concurrent validity, discriminatory validity) and responsiveness (distribution- and anchor-based) were explored for the German-SNOT-22. At T0, the mean German-SNOT-22 total-score for CRS patients was 38.0 (± 20.9) and responded to treatment (T1 = 26.3 ± 19.1; T2 = 25.8 ± 20.6; T3 = 20.5 ± 16.3). For control-participants, the mean total-score at T0 was 15.1 (±10.9). The German-SNOT-22 was reliable (excellent internal consistency α = 0.93; good overall item-total correlations r = 0.39-0.85), valid (significant correlations between Mackay-Naclerio-, Lund-Mackay- and BSI-18 scores, all r > 0.39, p < 0.01) and responsive (significant correlations between HTIs and mean change in German-SNOT-22 total-score F = 9.57, p < 0.001). The German-SNOT-22 validated here matches the original SNOT-22. It is a reliable, valid and responsive questionnaire to assess symptoms, HRQOL and treatment-response in CRS-patients. Good psychometric properties were observed.

Background: Patient-reported outcomes are considered the gold standard for assessing subjective health status in oncology patients. Electronic assessment of patient-reported outcomes (ePRO) has become increasingly popular in recent years in both clinical trials and practice. However, there is limited evidence on how well older patients with cancer can complete ePRO assessments. Objective: We aimed to investigate how well adult patients with cancer of different age ranges could complete ePRO assessments at home and in a treatment facility and to identify factors associated with the ability to complete questionnaires electronically. Methods: This retrospective longitudinal single-center study involved survivors of cancer who participated in inpatient rehabilitation. Patients completed ePRO assessments before rehabilitation at home (T1) and after rehabilitation at the facility (T2). We analyzed the rate of patients who could complete the ePRO assessment at T1 and T2, the proportion of patients who required assistance, and the time it took patients to complete standardized questionnaires. Multivariate logistic regression analyses were conducted to identify predictors of ePRO completion rate and the need for assistance. Results: Between 2017 and 2022, a total of 5571 patients were included in this study. Patients had a mean age of 60.3 (SD 12.2) years (range 18 to 93 years), and 1135 (20.3%) of them were classified as geriatric patients (>70 years). While more than 90% (5060/5571) of all patients completed the ePRO assessment, fewer patients in the age group of >70 years (924/1135, 81.4% at T1 vs 963/1135, 84.8% at T2) completed the assessment. Approximately 19% (1056/5571) of patients reported a need for assistance with the ePRO assessment at home, compared to 6.8% (304/4483) at the institution. Patients older than 70 years had a significantly higher need for assistance than those in younger age groups. Moreover, a gender difference was observed, with older women reporting a higher need for assistance than men (71-80 years: women requiring assistance 215/482, 44.6% vs men 96/350, 27.4%; P<.001 and >80 years: women 102/141, 72.3% vs men 57/112, 50.9%; P<.001). On average, patients needed 4.9 (SD 3.20) minutes to remotely complete a 30-item questionnaire (European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire) and patients in the older age groups took significantly longer compared to younger age groups. Lower age and higher physical functioning were the clearest predictors for both the ePRO completion rate and the need for assistance in the multivariate regression analysis. Conclusions: This study’s results indicate that ePRO assessment is feasible in older individuals with cancer, but older patients may require assistance (eg, from relatives) to complete home-based assessments. It may be more feasible to conduct assessments in-house in this population. Additionally, it is crucial to carefully consider which resources are necessary and available to support patients in using ePRO devices.

Neurotrophins and their receptors might regulate cell survival in head and neck squamous cell carcinoma (HNSCC). mRNA expression of nerve growth factor (NGF) and protein synthesis of high (NTRK1) and low affinity neurotrophin (p75 neurotrophin receptor; NTR) receptors were investigated in normal oral mucosa and in HNSCC. HNSCC cell lines were treated with mitomycin C (MMC) and cell survival was investigated. Normal and malignant epithelial cells expressed NGF mRNA. NTRK1 was upregulated in 80% of HNSCC tissue, and 50% of HNSCC samples were p75NTR positive. Interestingly, in HNSCC tissue: NTRK1 and p75NTR immunohistochemical reactions were mutually exclusive. Detroit 562 cell line contained only p75NTR, UPCI-SCC090 cells synthesized NTRK1 but not p75NTR and SCC-25 culture had p75NTR and NTRK1 in different cells. NGF (100 ng/mL) significantly improved (1.4-fold) the survival of cultured UPCI-SCC090 cells after MMC-induced cell cycle arrest, while Detroit 562 cells with high levels of p75NTR did not even get arrested by single short MMC treatment. p75NTR in HNSCC might be related with NGF-independent therapy resistance, while NTRK1 might transduce a survival signal of NGF and contribute in this way to improved tumor cell survival after cell cycle arrest.