An update on access to novel treatment for metastatic melanoma in Europe - A 2024 survey of the European melanoma registry and the European association of dermato-oncology.

Advances in cancer treatments have significantly improved their effectiveness, yet access to first-line therapies remains limited. A 2017 survey revealed that over 25 % of metastatic melanoma patients in Europe lacked access to recommended therapies. To address this, the European Association of Dermato-Oncology and the European Melanoma Registry conducted a follow-up study on the registration and reimbursement of first-line treatments.

European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment - Update 2024.

A unique collaboration of multi-disciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF), and the European Organization of Research and Treatment of Cancer (EORTC) was formed to make recommendations on cutaneous melanoma diagnosis and treatment, based on systematic literature reviews and the experts' experience. Cutaneous melanomas are excised with one to two-centimeter safety margins. For a correct stage classification and treatment decision, a sentinel lymph node biopsy shall be offered in patients with tumor thickness ≥ 1.

Sleeping Beauty? A Prospective Study on the Prevalence of Sleep Problems and Their Potential Determinants in Professional Dancers.

Background: Sleep is important for health and performance but has rarely been studied in professional dancers. The aim was to analyse the prevalence of sleep problems in professional dancers and their potential determinants at the beginning of and during the season.

Methods: Professional dancers of six German companies answered a comprehensive baseline questionnaire on physical and mental health, including the Sleep Difficulty Score of the Athletic Sleep Screening questionnaire (ASSQ-SDS) in the beginning of the season and weekly health reports during the season.

European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics - Update 2024.

This guideline was developed in close collaboration with multidisciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF) and the European Organization for Research and Treatment of Cancer (EORTC). Recommendations for the diagnosis and treatment of melanoma were developed on the basis of systematic literature research and consensus conferences. Cutaneous melanoma (CM) is the most dangerous form of skin tumor and accounts for 90 % of skin cancer mortality.

S2k guideline basal cell carcinoma of the skin (update 2023).

Basal cell carcinoma is the most common malignant tumor in the fair-skinned population and its incidence continues to rise. An update of the S2k guideline with the participation of all specialist societies familiar with the clinical picture and previous literature research is of great importance for the quality of care for affected patients. In addition to epidemiology, diagnostics and histology are discussed.

Interim analysis of the multinational, post-authorization safety study (NISSO) to assess the long-term safety of sonidegib in patients with locally advanced basal cell carcinoma.

Background: Following the pivotal phase II trial BOLT, the Hedgehog (Hh) inhibitor sonidegib was approved in the EU to treat locally advanced basal cell carcinoma (laBCC) in patients not amenable to surgery or radiotherapy. We report safety data from the interim analysis of the real-world NISSO study.

Methods: NISSO is an ongoing non-interventional, multinational, post-authorization safety study (NCT04066504).

Self-reported Health Problems of Professional Dancers from Five German Opera Houses or State Theatres: A Prospective Study with Weekly Follow-ups during One Season.

Background: Most studies on injuries of professional dancers used a medical-attention and/or time-loss definition and did not analyse all health problems. Further, almost all studies included just one company. The aim was to analyse all self-reported health problems of professional ballet and contemporary dancers during one season and compare sexes and five companies in Germany.

Prevalence of Mental Health Problems and their Potential Association with Sleep Disturbance, Coping Skills and Social Support in Professional Ballet Dancers.

While several studies have analyzed the characteristics and burden of injuries and physical complaints in (pre-)professional dancers, mental health problems, other than eating disorders, have rarely been studied in professional ballet dancers. The aims were to (a) investigate the prevalence of self-reported mental health problems, and (b) analyze their potential associations with sleep disturbance, coping skills and social support in professional ballet dancers. During a pre-season health screening, professional ballet dancers of three companies were asked to answer questions on personal characteristics, current need and attempt to lose weight, chronic/recurrent mental health problems, and need of support from a psychotherapist as well as established questionnaires on depression (PHQ-9), generalized anxiety (GAD-7), eating disorders (EDE-QS), sleep disturbance (ASSQ), athletic coping skills (ACSI-28) and perceived social support (F-SozU-K6).

Health Problems of Professional Ballet Dancers: an Analysis of 1627 Weekly Self-Reports on Injuries, Illnesses and Mental Health Problems During One Season.

Background: Several studies have investigated injuries of (pre-)professional ballet dancers, however most used a medical-attention and/or time-loss definition and did not analyse the prevalence of all health problems. The aim was to analyse the frequency and characteristics of all self-reported physical and mental health complaints (i.e.

Operational classification of cutaneous squamous cell carcinomas based on unsupervised clustering of real cases by experts.

Background: There is currently no staging system for cutaneous squamous cell carcinoma (cSCC) that is adapted to decision-making and universally used. Experts have unconscious ability to simplify the heterogeneity of clinical situations into a few relevant groups to drive their therapeutic decisions. Therefore, we have used unsupervised clustering of real cases by experts to generate an operational classification of cSCCs, an approach that was successful for basal cell carcinomas.

CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations.

Motivation: High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell lines. Their ability to evaluate a wide spectrum of interventions, from single drugs to intricate drug combinations and CRISPR-interference, has established them as an invaluable resource for the development of novel therapeutic approaches. Nevertheless, the combinatorial complexity of potential interventions makes a comprehensive exploration intractable.

Final Results for Adjuvant Dabrafenib plus Trametinib in Stage III Melanoma.

Background: The 5-year results of this trial showed that adjuvant therapy with dabrafenib plus trametinib resulted in longer relapse-free survival and distant metastasis-free survival than placebo among patients with V600-mutated stage III melanoma. Longer-term data were needed, including data regarding overall survival.

Methods: We randomly assigned 870 patients with resected stage III melanoma with V600 mutations to receive 12 months of dabrafenib (150 mg twice daily) plus trametinib (2 mg once daily) or two matched placebos.

The effect of data transformation on low-dimensional integration of single-cell RNA-seq.

Background: Recent developments in single-cell RNA sequencing have opened up a multitude of possibilities to study tissues at the level of cellular populations. However, the heterogeneity in single-cell sequencing data necessitates appropriate procedures to adjust for technological limitations and various sources of noise when integrating datasets from different studies. While many analysis procedures employ various preprocessing steps, they often overlook the importance of selecting and optimizing the employed data transformation methods.

European consensus-based interdisciplinary guideline for diagnosis, treatment and prevention of actinic keratoses, epithelial UV-induced dysplasia and field cancerization on behalf of European Association of Dermato-Oncology, European Dermatology Forum, European Academy of Dermatology and Venereology and Union of Medical Specialists (Union Européenne des Médecins Spécialistes).

A collaboration of multidisciplinary experts from the European Association of Dermato-Oncology, the European Dermatology Forum, the European Academy of Dermatology and Venereology, and the European Union of Medical Specialists was formed to develop European recommendations on AK diagnosis and treatment, based on current literature and expert consensus. This guideline addresses the epidemiology, diagnostics, risk stratification and treatments in immunocompetent as well as immunosuppressed patients. Actinic keratoses (AK) are potential precursors of cutaneous squamous cell carcinoma (cSCC) and display typical histopathologic and immunohistochemical features of this malignancy in an early stage.

Health Economic Consequences Associated With COVID-19-Related Delay in Melanoma Diagnosis in Europe.

Importance: The COVID-19 pandemic resulted in delayed access to medical care. Restrictions to health care specialists, staff shortages, and fear of SARS-CoV-2 infection led to interruptions in routine care, such as early melanoma detection; however, premature mortality and economic burden associated with this postponement have not been studied yet.

Objective: To determine the premature mortality and economic costs associated with suspended melanoma screenings during COVID-19 pandemic lockdowns by estimating the total burden of delayed melanoma diagnoses for Europe.

Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics.

Importance: The development of artificial intelligence (AI)-based melanoma classifiers typically calls for large, centralized datasets, requiring hospitals to give away their patient data, which raises serious privacy concerns. To address this concern, decentralized federated learning has been proposed, where classifier development is distributed across hospitals.

Objective: To investigate whether a more privacy-preserving federated learning approach can achieve comparable diagnostic performance to a classical centralized (ie, single-model) and ensemble learning approach for AI-based melanoma diagnostics.

Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology.

Novel hypotheses in biomedical research are often developed or validated in model organisms such as mice and zebrafish and thus play a crucial role. However, due to biological differences between species, translating these findings into human applications remains challenging. Moreover, commonly used orthologous gene information is often incomplete and entails a significant information loss during gene-id conversion.