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Background
A basic requirement for artificial intelligence (AI)–based image analysis systems, which are to be integrated into clinical practice, is a high robustness. Minor changes in how those images are acquired, for example, during routine skin cancer screening, should not change the diagnosis of such assistance systems.
Objective
To quantify to what extent minor image perturbations affect the convolutional neural network (CNN)–mediated skin lesion classification and to evaluate three possible solutions for this problem (additional data augmentation, test-time augmentation, anti-aliasing).
Methods
We trained three commonly used CNN architectures to differentiate between dermoscopic melanoma and nevus images. Subsequently, their performance and susceptibility to minor changes (‘brittleness’) was tested on two distinct test sets with multiple images per lesion. For the first set, image changes, such as rotations or zooms, were generated artificially. The second set contained natural changes that stemmed from multiple photographs taken of the same lesions.
Results
All architectures exhibited brittleness on the artificial and natural test set. The three reviewed methods were able to decrease brittleness to varying degrees while still maintaining performance. The observed improvement was greater for the artificial than for the natural test set, where enhancements were minor.
Conclusions
Minor image changes, relatively inconspicuous for humans, can have an effect on the robustness of CNNs differentiating skin lesions. By the methods tested here, this effect can be reduced, but not fully eliminated. Thus, further research to sustain the performance of AI classifiers is needed to facilitate the translation of such systems into the clinic.
Background aims
Human dermal ABCB5-expressing mesenchymal stromal cells (ABCB5+ MSCs) represent a promising candidate for stem cell–based therapy of various currently uncurable diseases in several fields of regenerative medicine. We have developed and validated a method to isolate, from human skin samples, and expand ABCB5+ MSCs that meet the guideline criteria of the International Society for Cellular Therapy. We are able to process these cells into a Good Manufacturing Practice–conforming, MSC-based advanced-therapy medicinal product.
Methods
To support the development of ABCB5+ MSCs for potential therapeutic topical, intramuscular and intravenous administration, we have tested our product in a series of Good Laboratory Practice–compliant nonclinical in-vivo studies addressing all relevant aspects of biosafety, including potential long-term persistence and proliferation, distribution to nontarget tissues, differentiation into undesired cell types, ectopic tissue formation, tumor formation and local tissue reaction.
Results
(i) Subcutaneous application of 1 × 107 ABCB5+ MSCs/animal and intravenous application of 2 × 106 ABCB5+ MSCs/animal, respectively, to immunocompromised mice did not result in safety-relevant biodistribution, persistence or proliferation of the cells; (ii) three monthly subcutaneous injections of ABCB5+ MSCs at doses ranging from 1 × 105 to 1 × 107 cells/animal and three biweekly intravenous injections of 2 × 106 ABCB5+ MSCs/animal, respectively, to immunocompromised mice were nontoxic and revealed no tumorigenic potential; and (iii) intramuscular injection of 5 × 106 ABCB5+ MSCs/animal to immunocompromised mice was locally well tolerated.
Discussion
The present preclinical in vivo data demonstrate the local and systemic safety and tolerability of a novel advanced-therapy medicinal product based on human skin-derived ABCB5+ MSCs.
Recent research revealed the superiority of artificial intelligence over dermatologists to diagnose melanoma from images. However, 30–50% of all melanomas and more than half of those in young patients evolve from initially benign lesions. Despite its high relevance for melanoma screening, neither clinicians nor computers are yet able to reliably predict a nevus’ oncologic transformation. The cause of this lies in the static nature of lesion presentation in the current standard of care, both for clinicians and algorithms. The status quo makes it difficult to train algorithms (and clinicians) to precisely assess the likelihood of a benign skin lesion to transform into melanoma. In addition, it inhibits the precision of current algorithms since ‘evolution’ image features may not be part of their decision. The current literature reveals certain types of melanocytic nevi (i.e. ‘spitzoid’ or ‘dysplastic’ nevi) and criteria (i.e. visible vasculature) that, in general, appear to have a higher chance to transform into melanoma. However, owing to the cumulative nature of oncogenic mutations in melanoma, a more fine-grained early morphologic footprint is likely to be detectable by an algorithm. In this perspective article, the concept of melanoma prediction is further explored by the discussion of the evolution of melanoma, the concept for training of such a nevi classifier and the implications of early melanoma prediction for clinical practice. In conclusion, the authors believe that artificial intelligence trained on prospective image data could be transformative for skin cancer diagnostics by (a) predicting melanoma before it occurs (i.e. pre-in situ) and (b) further enhancing the accuracy of current melanoma classifiers. Necessary prospective images for this research are obtained via free mole-monitoring mobile apps.
Background
Melanoma is the most dangerous type of skin cancer but is curable if detected early. Recent publications demonstrated that artificial intelligence is capable in classifying images of benign nevi and melanoma with dermatologist-level precision. However, a statistically significant improvement compared with dermatologist classification has not been reported to date.
Methods
For this comparative study, 4204 biopsy-proven images of melanoma and nevi (1:1) were used for the training of a convolutional neural network (CNN). New techniques of deep learning were integrated. For the experiment, an additional 804 biopsy-proven dermoscopic images of melanoma and nevi (1:1) were randomly presented to dermatologists of nine German university hospitals, who evaluated the quality of each image and stated their recommended treatment (19,296 recommendations in total). Three McNemar's tests comparing the results of the CNN's test runs in terms of sensitivity, specificity and overall correctness were predefined as the main outcomes.
Findings
The respective sensitivity and specificity of lesion classification by the dermatologists were 67.2% (95% confidence interval [CI]: 62.6%–71.7%) and 62.2% (95% CI: 57.6%–66.9%). In comparison, the trained CNN achieved a higher sensitivity of 82.3% (95% CI: 78.3%–85.7%) and a higher specificity of 77.9% (95% CI: 73.8%–81.8%). The three McNemar's tests in 2 × 2 tables all reached a significance level of p < 0.001. This significance level was sustained for both subgroups.
Interpretation
For the first time, automated dermoscopic melanoma image classification was shown to be significantly superior to both junior and board-certified dermatologists (p < 0.001).
Background
Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comparability of the performance of these algorithms and thereby the technical progress in this field.
Methods
An electronic questionnaire was sent to dermatologists at 12 German university hospitals. Each questionnaire comprised 100 dermoscopic and 100 clinical images (80 nevi images and 20 biopsy-verified melanoma images, each), all open-source. The questionnaire recorded factors such as the years of experience in dermatology, performed skin checks, age, sex and the rank within the university hospital or the status as resident physician. For each image, the dermatologists were asked to provide a management decision (treat/biopsy lesion or reassure the patient). Main outcome measures were sensitivity, specificity and the receiver operating characteristics (ROC).
Results
Total 157 dermatologists assessed all 100 dermoscopic images with an overall sensitivity of 74.1%, specificity of 60.0% and an ROC of 0.67 (range = 0.538–0.769); 145 dermatologists assessed all 100 clinical images with an overall sensitivity of 89.4%, specificity of 64.4% and an ROC of 0.769 (range = 0.613–0.9). Results between test-sets were significantly different (P < 0.05) confirming the need for a standardised benchmark.
Conclusions
We present the first public melanoma classification benchmark for both non-dermoscopic and dermoscopic images for comparing artificial intelligence algorithms with diagnostic performance of 145 or 157 dermatologists. Melanoma Classification Benchmark should be considered as a reference standard for white-skinned Western populations in the field of binary algorithmic melanoma classification.
Merkel cell carcinoma (MCC) is a primary neuroendocrine carcinoma of the skin. This neoplasia features aggressive behavior, resulting in a 5-year overall survival rate of 40%. In 2008, Feng et al. identified Merkel cell polyomavirus (MCPyV) integration into the host genome as the main event leading to MCC oncogenesis. However, despite identification of this crucial viral oncogenic trigger, the nature of the cell in which MCC oncogenesis occurs is actually unknown. In fact, several hypotheses have been proposed. Despite the large similarity in phenotype features between MCC tumor cells and physiological Merkel cells (MCs), a specialized subpopulation of the epidermis acting as mechanoreceptor of the skin, several points argue against the hypothesis that MCC derives directly from MCs. Alternatively, MCPyV integration could occur in another cell type and induce acquisition of an MC-like phenotype. Accordingly, an epithelial as well as a fibroblastic or B-cell origin of MCC has been proposed mainly based on phenotype similarities shared by MCC and these potential ancestries. The aim of this present review is to provide a comprehensive review of the current knowledge of the histogenesis of MCC.
Background
Conjunctival melanoma is a potentially deadly eye tumour. Despite effective local therapies, tumour recurrence and metastasis remain frequent. The genetics of conjunctival melanomas remain incompletely understood.
Methods
A large cohort of 63 conjunctival melanomas was screened for gene mutations known to be important in other melanoma subtypes by targeted next-generation sequencing. Mutation status was correlated with patient prognosis.
Results
Frequent mutations in genes activating the MAP kinase pathway were identified. NF1 mutations were most frequent (n = 21, 33%). Recurrent activating mutations were also identified in BRAF (n = 16, 25%) and RAS genes (n = 12, 19%; 11 NRAS and 1 KRAS).
Conclusions
Similar to cutaneous melanomas, conjunctival melanomas can be grouped genetically into four groups: BRAF-mutated, RAS-mutated, NF1-mutated and triple wild-type melanomas. This genetic classification may be useful for assessment of therapeutic options for patients with metastatic conjunctival melanoma
Bullous pemphigoid is the most common autoimmune blistering disease in industrialized countries and particularly affects the elderly. In this patient population, comorbid diseases are frequent and may complicate management and treatment of bullous pemphigoid. A better understanding why distinct diseases are more frequent in bullous pemphigoid patients may lead to new pathophysiological insights and - as a consequence - result in better patient care. The association of bullous pemphigoid with neurological and psychiatric diseases is well known and confirmed by several case-control studies. Association with further diseases such as malignancy and metabolic diseases are still discussed controversially. In recent years new relationships between bullous pemphigoid and autoimmune as well as inflammatory skin diseases have been reported. This review provides a systematic overview on studies addressing comorbidity in bullous pemphigoid patients. Increasing the awareness of both, common and rare comorbid diseases, may enable clinicians to optimize patient support and individualized treatment of bullous pemphigoid.
Hintergrund: Bei der Entscheidung für eine intravenöse Kortikosteroid-Pulstherapie bei schweren Formen der AA ist die Abwägung von Therapieaufwand, Nebenwirkungen und Risiken einerseits und der Erfolgsaussicht andererseits von zentraler Bedeutung.
Ziel: Ziel dieser retrospektiven Analyse war es daher, die Wirksamkeit und Sicherheit der intravenösen Kortikosteroid-Pulstherapie bei Patient:innen mit ausgeprägter AA klinikintern als qualitätssichernde Maßnahme zu untersuchen, prognostisch bedeutsame Faktoren für den Therapieeffekt zu ermitteln und hierdurch die beste Indikation herauszuarbeiten.
Methode: 126 Patient:innen (13 Kinder und Jugendliche) erhielten Dexamethason 100 mg (122 Patienten) oder Methylprednisolon 20-30 mg/kg/KG (max. 1000 mg, 4 Patienten) an drei aufeinanderfolgenden Tagen für ein bis drei Zyklen.
Ergebnisse: Patienten mit einer AA partialis bzw. diffusa zeigten im Hinblick auf ein vollständiges oder kosmetisch akzeptables Wiederwachstum die besten Ansprechraten (44,3%, n=43). Unter den Ophiasis-Patienten und den Patienten mit AA totalis/universalis sprach nur etwa ein Viertel auf die Therapie an (Ophiasis 23,8%, n=5; AA totalis/universalis: 25%, n=2). Schwerwiegende unerwünschte Nebenwirkungen wurden nicht beobachtet.
Schlussfolgerung: In der vorliegenden Untersuchung ließen sich eine längere Bestandsdauer der Erkrankung und Erkrankungsepisode (über 6 Monate), ein schwerer Ausprägungsgrad (Ophiasis, AA totalis/universalis) und krankheitstypische Nagelveränderungen als wichtige ungünstige prognostische Faktoren nachweisen. Dagegen wirkten sich die untersuchten Kriterien Alter, Geschlecht, atopisches Ekzem und andere Erkrankungen des atopischen Formenkreises, Schilddrüsen- und Autoimmunerkrankungen in der Eigenanamnese sowie AA in der Familienanamnese nicht negativ auf den Behandlungserfolg aus. Patienten mit AA partialis und einer Bestandsdauer der AA von maximal 6 Monaten haben die besten Erfolgsaussichten.
Background
Severe acute respiratory syndrome coronavirus 2 is a virus affecting different organs and causing a wide variety and severity of symptoms. Headache as well as loss of smell and taste are the most frequently reported neurological manifestations of coronavirus disease 2019 induced by severe acute respiratory syndrome coronavirus 2. Here we report on a patient with chronic migraine and medication overuse headache, who experienced remarkable mitigation of migraine following coronavirus disease 2019.
Case presentation
For many years prior to the severe acute respiratory syndrome coronavirus 2 infection, a 57-year-old Caucasian male suffered from very frequent migraine attacks and for control of headaches he had been taking triptans almost daily. In the 16-month period before the outbreak of coronavirus disease 2019, triptan was taken 98% of the days with only a 21-day prednisolone-supported triptan holiday, which, however, had no longer-lasting consequences on migraine frequency. Upon severe acute respiratory syndrome coronavirus 2 infection, the patient developed only mild symptoms including fever, fatigue, and headache. Directly following recovery from coronavirus disease 2019, the patient surprisingly experienced a period with largely reduced frequency and severity of migraine attacks. Indeed, during 80 days following coronavirus disease 2019, migraine as well as triptan usage were restricted to only 25% of the days, no longer fulfilling criteria of a chronic migraine and medication overuse headache.
Conclusion
Severe acute respiratory syndrome coronavirus 2 infection might be capable of triggering mitigation of migraine.
Immune checkpoint blockade therapy is beneficial and even curative for some cancer patients. However, the majority don’t respond to immune therapy. Across different tumor types, pre-existing T cell infiltrates predict response to checkpoint-based immunotherapy. Based on in vitro pharmacological studies, mouse models and analyses of human melanoma patients, we show that the cytokine GDF-15 impairs LFA-1/β2-integrin-mediated adhesion of T cells to activated endothelial cells, which is a pre-requisite of T cell extravasation. In melanoma patients, GDF-15 serum levels strongly correlate with failure of PD-1-based immune checkpoint blockade therapy. Neutralization of GDF-15 improves both T cell trafficking and therapy efficiency in murine tumor models. Thus GDF-15, beside its known role in cancer-related anorexia and cachexia, emerges as a regulator of T cell extravasation into the tumor microenvironment, which provides an even stronger rationale for therapeutic anti-GDF-15 antibody development.
Background
Healthcare workers and medical students faced new challenges during the COVID-19 pandemic. Processes within many hospitals were completely disrupted. In addition, the face to face teaching of medical students was drastically reduced. Those at risk of developing mental health problems appear to be younger health care workers and women.
Objective
To investigate potential COVID-19 pandemic-related gender differences in psychological distress among medical students and physicians in their first years of practice.
Design and setting
An anonymous survey was carried out online between December 1, 2021, and March 31, 2022, at the Mannheim Medical Faculty and the Würzburg Medical Faculty, Germany, after obtaining informed consent. Primary outcome measures were changes in anxiety and depression symptoms using the Hospital Anxiety and Depression Scale (HADS), and changes in participants' current quality of life using the WHO Quality of Life BREF.
Results
The results show wave-like courses for perceived anxiety and burden overlapping with the course of the COVID-19 incidence. In comparison to men, women showed a significant higher increase in HADS (p = 0.005) and a reduced life quality (p = 0.007) after COVID-19. Both sexes showed different frequencies of the factors influencing quality of life, with the presence of a previous mental illness and mean anxiety having a significant higher negative impact in women.
Conclusion
Future and young female physicians reported a disproportionate higher burden during COVID-19 compared to their male colleges. These observations suggest an increased need for support and prevention efforts especially in this vulnerable population.
ICIs sind inzwischen integrales Therapiemittel vieler Tumoren, selbst in nicht metastasierten Stadien. Das Management von dabei eventuell entstehenden Nebenwirkungen bleibt wichtiger Bestandteil der Therapie vor allem im fortgeschrittenen Alter. Retrospektive Untersuchungen wie unsere tragen dazu bei, das in vielen klinischen Studien unterrepräsentierte Patientenkollektiv älterer Patienten in den klinischen Alltag sowie in Therapieentscheidungen und -planungen zu integrieren.
Der primäre Studienendpunkt unserer Arbeit unterstützt wichtige Erkenntnisse anderer Studien, dass irAEs insgesamt unter älteren Patienten nicht häufiger auftreten. Zwischen allen drei Altersklassen von ~55, ~70 und ~80 Jahren zeigten sich keine signifikanten Unterschiede im Auftreten von irAEs aller Grade, wobei irAEs Grad III/IV etwas häufiger bei ~80-Jährigen auftraten. In unserem Fall stellten wir fest, dass auftretende irAEs im Alter häufiger behandelt wurden, und dass die Immuntherapie häufiger pausiert oder abgebrochen wurde. Zudem war der Anteil an Therapieabbrüchen unter den älteren Patienten wegen bestimmter Ereignisse wie TRAEs und dem Einsatz von Glukokortikoiden höher als bei jüngeren Patienten.
Die Ergebnisse unserer Studie deuten außerdem darauf hin, dass selbst unter Polypharmazie und Multimorbidität irAEs nicht häufiger bei Älteren auftraten. Ebenso können wir die interessante Beobachtung verzeichnen, dass Patienten mit >5 Medikamenten und gleichzeitig >5 Erkrankungen signifikant mehr irAEs Grad III/IV aufwiesen oder mehr Patienten Glukokortikoide verabreicht bekommen haben. Auch der Anteil an Interventionsbedarf oder Therapieabbruch war hier in allen Altersklassen höher. Es stellt sich die Frage, inwiefern hohes Alter, Komorbidität und Polypharmazie Risikofaktoren für Interventionsbedarf oder Therapieabbruch in der Immuntherapie sind, und ob ihnen eher besondere Gewichtung als Risikofaktor zukommt als dem Alter selbst.
Merkel cell carcinoma (MCC) is frequently caused by the Merkel cell polyomavirus (MCPyV), and MCPyV-positive tumor cells depend on expression of the virus-encoded T antigens (TA). Here, we identify 4-[(5-methyl-1H-pyrazol-3-yl)amino]-2H-phenyl-1-phthalazinone (PHT) — a reported inhibitor of Aurora kinase A — as a compound inhibiting growth of MCC cells by repressing noncoding control region (NCCR)-controlled TA transcription. Surprisingly, we find that TA repression is not caused by inhibition of Aurora kinase A. However, we demonstrate that β-catenin — a transcription factor repressed by active glycogen synthase kinase 3 (GSK3) — is activated by PHT, suggesting that PHT bears a hitherto unreported inhibitory activity against GSK3, a kinase known to function in promoting TA transcription. Indeed, applying an in vitro kinase assay, we demonstrate that PHT directly targets GSK3. Finally, we demonstrate that PHT exhibits in vivo antitumor activity in an MCC xenograft mouse model, suggesting a potential use in future therapeutic settings for MCC.
Severe and prolonged liver damage in pityriasis rubra pilaris treated with acitretin: a case report
(2022)
Acitretin is a systemic retinoid that is used in dermatology for treatment of various inflammatory and especially hyperkeratotic diseases. Elevation of liver enzymes may occur occasionally but normally resolves spontaneously, at the latest after termination of acitretin. However, it can very rarely develop into a life-threatening adverse event including drug-induced liver injury (DILI). A 45-year-old man with classical pityriasis rubra pilaris, a frequently severe, inflammatory skin disease, was started on acitretin. After a seemingly harmless elevation of transaminases, a few weeks after initiation of acitretin, the patient experienced a dramatic course of liver injury with hepatic jaundice though acitretin was stopped immediately. Eventually, laboratory values recovered upon high-dose oral prednisolone therapy. Prescribing physicians should keep in mind that acitretin might induce severe liver injury. Even after termination of acitretin laboratory values should be monitored for a while in order to recognize symptomless but harmful drug-induced liver injury in time.
The best characterized polyomavirus family member, i.e., simian virus 40 (SV40), can cause different tumors in hamsters and can transform murine and human cells in vitro. Hence, the SV40 contamination of millions of polio vaccine doses administered from 1955–1963 raised fears that this may cause increased tumor incidence in the vaccinated population. This is, however, not the case. Indeed, up to now, the only polyomavirus family member known to be the most important cause of a specific human tumor entity is Merkel cell polyomavirus (MCPyV) in Merkel cell carcinoma (MCC). MCC is a highly deadly form of skin cancer for which the cellular origin is still uncertain, and which appears as two clinically very similar but molecularly highly different variants. While approximately 80% of cases are found to be associated with MCPyV the remaining MCCs carry a high mutational load. Here, we present an overview of the multitude of molecular functions described for the MCPyV encoded oncoproteins and non-coding RNAs, present the available MCC mouse models and discuss the increasing evidence that both, virus-negative and -positive MCC constitute epithelial tumors.
(1) Background: C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) are promising theranostic targets. However, it is unclear whether CXCR4 and FAP positivity mark distinct microenvironments, especially in solid tumors. (2) Methods: Using Random Forest (RF) analysis, we searched for entity-independent mRNA and microRNA signatures related to CXCR4 and FAP overexpression in our pan-cancer cohort from The Cancer Genome Atlas (TCGA) database — representing n = 9242 specimens from 29 tumor entities. CXCR4- and FAP-positive samples were assessed via StringDB cluster analysis, EnrichR, Metascape, and Gene Set Enrichment Analysis (GSEA). Findings were validated via correlation analyses in n = 1541 tumor samples. TIMER2.0 analyzed the association of CXCR4 / FAP expression and infiltration levels of immune-related cells. (3) Results: We identified entity-independent CXCR4 and FAP gene signatures representative for the majority of solid cancers. While CXCR4 positivity marked an immune-related microenvironment, FAP overexpression highlighted an angiogenesis-associated niche. TIMER2.0 analysis confirmed characteristic infiltration levels of CD8+ cells for CXCR4-positive tumors and endothelial cells for FAP-positive tumors. (4) Conclusions: CXCR4- and FAP-directed PET imaging could provide a non-invasive decision aid for entity-agnostic treatment of microenvironment in solid malignancies. Moreover, this machine learning workflow can easily be transferred towards other theranostic targets.
Forkhead box O transcription factors are a family of proteins involved in cellular processes downstream of the Insulin-PI3K-PKB pathway. In response to extra- or intracellular stresses, for example starvation or oxidative stress, FoxOs are required to direct cell cycle progression and apoptosis. In endothelial cells, they induce apoptosis, and their deregulation is linked to diseases involving the insulin pathway, such as diabetes. FoxOs also exhibit a complex role in tumour transformation: here their main function is to suppress tumorigenesis. In both physiological and cancer contexts, FoxO activation leads to the transcription of some general targets, such as p27kip1 or IGFBP1. The FoxOs can also induce tissue-specific genes, as ANGPT2 and BIM in the endothelium.
In endothelial cells, another pathway with a pivotal function is the MEK5/ERK5 MAPK signalling way. Its activation promotes cell survival and proliferation in stressful conditions, e.g., when blood vessels are exposed to the shear forces exerted by the blood stream. Furthermore, recent data described ERK5 as a kinase directing tumour resistance upon therapy-induced stress.
Comparing their reported roles in various tumours and in the endothelium, FoxO proteins and the MEK5/ERK5 MAPK cascade appear to exert opposite functions. First non-published data confirmed the hypothesis that FoxO factors are subject to a negative modulation by the MEK5/ERK5 pathway. Hence, one goal of this PhD project was to further characterise this crosstalk at molecular level. The major mechanism of FoxO regulation is the balance among several post translational modifications, such as phosphorylation, acetylation, and ubiquitination. Most importantly, the PKB dependent phosphorylation of FoxOs negatively controls their activity, and it is critical for their subcellular localization. Therefore, the regulation of FoxO localization as mechanism of ERK5 dependent suppression was studied, but the results presented in this thesis argue against this hypothesis. However, additional experiments are required to explore the impact of ERK5 activity on FoxO post-translational modifications.
FoxO activity can also be modulated by the interaction with other proteins, which in turn could explain general- and tissue-specific gene expression. Thus, another objective of this work was to investigate FoxO3-interactome in endothelial cells and the impact of MEK5/ERK5 activation on it. As published in (Fusi et al. 2022) and presented here, this analysis unveiled TRRAP as new FoxO bound protein in several cell types. Moreover, the interaction did not rely on the capacity of the FoxOs to bind their consensus DNA sequences at the promoter of target genes. Functional data demonstrated that TRRAP is required for FoxO-dependent gene transcription in endothelial and osteosarcoma cells. In addition, TRRAP expression in the endothelium is important for FoxO induced apoptosis. In summary, the interaction between FoxO factors and TRRAP revealed a new regulatory mechanism of FoxO-dependent gene transcription. It remains to be analysed whether the MEK5/ERK5 cascade may exert its suppressive effect on FoxO activity by interfering with their binding to TRRAP and whether such a mechanism may be relevant for tumorigenesis.
Blue nevus is a benign melanocytic lesion, typically asymptomatic and of unknown etiology. Several histologic and clinical variants have been distinguished, the most frequent being common blue nevus, cellular blue nevus, and combined blue nevus. Although melanocytic nevi with a satellite lesion are usually suggestive of locally advanced malignant melanoma, very few cases of blue nevi with satellite lesions have been reported. The diagnosis of common or cellular blue nevi is generally straightforward; however, the presence of structures such as irregular edges or satellitosis are highly suggestive for malignancy, and differential diagnoses such as locally advanced malignant melanoma and malignant blue nevus should be considered. Recurrent blue nevi can display atypical features not seen in the primary lesion, such as pleomorphism and mitotic activity. They usually tend to follow a benign course; however, in some cases, recurrence may indicate malignant transformation. We here report the unique case of a 64-year-old woman with a recurrent cellular blue nevus accompanied by satellite lesions. Such a biological behavior resulting in a clinical presentation as a melanoma-like lesion is a rarity in blue nevus and has not been described before.