Wiley

Journal of The European Academy of Dermatology and Venereology

Published by Wiley and European Academy Of Dermatology And Venereology

Online ISSN: 1468-3083

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Print ISSN: 0926-9959

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PASI response over time (last observation carried forward). PASI, Psoriasis Area and Severity Index; PASI75/90/100: 75%/90%/100% improvement in PASI score.
Switching to brodalumab after failure of IL‐17A inhibitors in psoriatic patients: A real‐life multicentre study

May 2025

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54 Reads

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Giulia Odorici

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[...]

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Giulia Rech
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A clinical‐dermoscopic risk scoring model for early melanoma of the soles: The iDScore_plantar

May 2025

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53 Reads

Background Melanoma of the sole is an aggressive rare form, often diagnosed late. Plantar atypical nevi (pAN) are frequently misdiagnosed as plantar early melanomas (pEM) and therefore excised. Our aim was to develop a clinical‐dermoscopic risk‐scoring model to help discriminate these plantar atypical melanocytic lesions (pAMLs). Materials and Methods We collected 490 pAMLs (98 pEM, 392 pAN) paired with histopathological diagnosis, dermoscopic and clinical image, maximum lesion diameter, plantar location and age and sex of the patient from 17 European centres. This plantar dataset was grouped into training (261), validation (174) and testing (55 pAMLs) subsets. European participants (104 dermatologists, 56 residents) performed a blinded tele‐dermoscopic test, including intuitive diagnosis, pattern analysis, rating of case difficulty, diagnostic confidence assessment and management decision. Results A total of 2887 dermoscopic evaluations were obtained. The iDScore_plantar model gave an average area under the receiver operating characteristic curve of 0.95 (against 0.77 for pattern analysis). It was composed of the sum of five scores ( S ) for the following items: maximum diameter 8–12 ( S = 1)/>12 mm ( S = 5); age 40–50 ( S = 2 )/>50 years ( S = 5); location on heel ( S 4) or on toes/plantar eminence ( S = 2); asymmetry of colours ( S = 2) and/or asymmetry of structures ( S = 1). ‘Long/short follow‐up, biopsy, excision’ decisions were matched with four risk ranges: no risk ( S = 0–3), low‐medium risk ( S = 4–8), medium‐high risk ( S = 9–12) and very high risk ( S = 13–17). By applying the model, participants would have reduced the number of misdiagnosed pAN and the number of pAN excised by −25.5% and −27.7%, respectively, and would have increased the number of correctly diagnosed pEM by +18.5%, the number of pEM recommended for surgical excision by +8.5% and the number of pEM recommended directly for surgical excision instead of biopsy by +16.15%. Conclusion The iDScore_plantar model proved to be a simple scoring tool to help clinicians in assigning a progressive risk of malignancy to pAMLs.

Aims and scope


Journal of the European Academy of Dermatology and Venereology is the official EADV journal, created by and for leading professionals in our field. For over three decades we’ve published cutting-edge discoveries for people working in research, clinical practice, and invested in improving patient outcomes. We promote scientifically proven theoretical research designed to keep skin healthy for longer. Our papers cover the European guidelines, clinical and translational research, and systematic and state-of-the-art reviews. And we share these advancements across our international community, setting the standard in Europe and beyond.

Recent articles


Evaluation of the risk of heart failure with tumour necrosis factor inhibitors: A large‐scale meta‐analysis in immune‐mediated inflammatory diseases
  • Literature Review
  • Full-text available

June 2025

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5 Reads

Noémi Ágnes Galajda

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Fanni Adél Meznerics

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Péter Mátrai

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[...]

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András Bánvölgyi

Background Current therapeutic guidelines for immune‐mediated inflammatory diseases (IMIDs) contraindicate the administration of tumour necrosis factor inhibitors (TNFis) in advanced heart failure (HF) and highlight the potential risk for new‐onset HF. The current evidence has low certainty, and the results of studies in the past two decades have even challenged the recommendations regarding the impact of TNFis on the risk of HF. Objectives The objective was to systematically synthesize data on the risk of HF in TNFi‐treated groups compared to non‐treated controls in IMIDs. Methods A systematic search was conducted in August 2023. Randomized controlled trials (RCTs) and non‐randomized observational studies of IMID patients comparing groups receiving TNFis to non‐TNFi‐exposed controls were included. The outcome was the incidence of worsening, de novo, and composite HF. Random‐effects meta‐analysis was conducted using risk ratios (RR) with 95% confidence intervals (CIs) to pool data. Results The systematic search identified 49 studies, with 45 included in the quantitative analysis. For the worsening of HF, the pooled results of non‐randomized studies showed no statistically significant risk‐increasing effect of TNFis (RR = 1.18, 95% CI: 0.69–2.00). Analyses from both RCTs and non‐randomized data indicated no increased risk of de novo HF in the TNFi‐group compared to controls (RR = 0.87, 95% CI: 0.60–1.25 and RR = 0.86, 95% CI: 0.64–1.14, respectively). Similarly, no increased risk was found for composite (worsening and de novo) HF in the TNFi‐treated group versus controls, pooling non‐randomized data. Conclusions Our findings indicate that TNFi‐treated IMID patients do not have an increased risk for developing de novo HF, and no statistically significant risk enhancement could be observed in the risk of worsening HF with TNFis. Updating IMID guidelines should be considered regarding TNFis' non‐risk increasing effect on de novo HF, whereas further validating data on the risk of worsening HF in TNFi‐treated IMID patients is needed.



Clefting presentation. Invasive SSM (Breslow 0.3 mm) on the scapular region of a 44‐year‐old man. Yellow triangles: clefting areas. Red triangle: atypical cells. Melanocytic nests: green triangle. Blue line: location of the horizontal LC‐OCT plane on the corresponding vertical LC‐OCT plane. Red line: location of the vertical LC‐OCT plane on the corresponding horizontal LC‐OCT plane. (a) Dermoscopic image (Vivacam®) with the 3D capture area in green, (b) 3D‐Cube of the section with DeepLive® LC‐OCT, (c) Histopathological vertical section of the area imaged with LC‐OCT (H&E magnification 10×), (d) LC‐OCT vertical section, (e) LC‐OCT horizontal section. The vertical view shows the clefting areas with atypical nucleated cells at the periphery or inside the discohesive nest.
Correlation between LC‐OCT and histopathology. Yellow triangles: clefting areas. Red triangle: atypical cells. Melanocytic nests: green stars. (a) Melanoma in situ on the outer arm of a 41‐year‐old woman, (b) Invasive SSM (Breslow 0.8 mm) on the thigh of a 41‐year‐old woman, (c) Lentigo Maligna on the helix of a 66‐year‐old man, (d) Invasive SSM (Breslow 0.8 mm) on the chest of a 47‐year‐old man. [a–d]1. Dermoscopic image, [a–d]2. DeepLive® LC‐OCT vertical, [a–d]3. Histopathological images of the same area (H&E magnification 10×). The vertical view shows clefting areas with atypical nucleated cells at the periphery or inside, which are also present in the histopathological image. Clefting is considered mild in melanoma in situ (a) and marked for the three other melanomas (b–d).
Correlation between LC‐OCT and RCM. Melanoma recurrence on the temple of a 69‐year‐old woman is depicted using multiple imaging modalities: (a) DeepLive® LC‐OCT vertical view, (b) LC‐OCT horizontal view, (c) Vivascope® RCM images of the same region, (d, e) Vivablock® images with the clefting areas highlighted, (f) Clefting as observed in RCM, noting that the corresponding region was not scanned in LC‐OCT. Clefting appears darker on LC‐OCT horizontal images compared to RCM. The vertical LC‐OCT view aids in distinguishing clefting from the skin layers above. Key features are annotated as follows: Yellow triangles: Clefting areas. Blue stars: Outer layer of the epidermis. Yellow rectangles: Corresponding clefting areas. White rectangles: Regions where LC‐OCT 3D imaging was obtained.
Correlation with other criteria. Rho (Spearman test). * = p‐value (*0.01–0.04; **0.002–0.009; ***<0.001).
Melanocytic clefting is associated with melanoma on LC‐OCT

J. Pérez‐Anker

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S. Soglia

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S. Puig

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J. Malvehy

Background Line‐field confocal optical coherence tomography (LC‐OCT) provides in vivo images with cellular resolution for melanocytic lesions. To date, no descriptions have associated cellular discohesion forming clefts (‘clefting’) with malignancy in melanocytic lesions using in vivo imaging techniques such as reflectance confocal microscopy (RCM) or LC‐OCT. Objectives This study aimed to describe the feature of ‘clefting’ in melanocytic lesions and its correlation with histopathology and RCM. Methods Consecutive benign, atypical and malignant melanocytic lesions were scanned with LC‐OCT at the Hospital Clinic of Barcelona, Hôpital Erasme and University Hospital of Saint‐Etienne. Images of body and facial lesions were reviewed according to study criteria. Only lesions with a univocal or unambiguous diagnosis (clinically or histologically) were selected. Results Clefting was found in 36 of the 200 analysed lesions. It was present in 28 of the 70 melanomas (40%) and in eight of the 130 benign lesions (6%). The odds ratio for malignancy associated with the presence of clefting in a melanocytic lesion was 10.03 (CI 4.07–27.5; p < 0.001). The magnitude of clefting also showed significant differences: marked clefting was present in 17 of the 70 melanomas (24%) and in only two benign lesions (2%), with an OR of 20.22 (CI 4.55–186.2; p < 0.001). No differences were observed regarding the presence of this feature in different locations. It was strongly associated with other malignant features, such as epidermal consumption, nests in the epidermis and disruption of the dermo‐epidermal junction. Conclusions This study highlights that clefting observed in melanocytic lesions is not an artefact created by sample preparation, but a specific feature related to malignancy. Moreover, marked clefting is apparently associated with deeper melanoma invasion.


First two components of the phenotypic FAMD results, with individuals coloured by cluster.
Clinical markers in adults' vitiligo patients divided in five different clusters. Radar plots show demographic and clinical characteristics that were reported significant (p.adj <0.05): (a) vitiligo localization, (b) demographic, disease activity, disease severity and Koebner phenomenon, in each clusters. Datapoints correspond to the frequency of individuals affected in the cluster for categorical variables, and to means for numerical variables on a scale with the upper bound as the highest mean of the different clusters + SD and the lower bound as the minimum mean of the different clusters – SD. Individual numbers were left out for clarity.
Decision tree for classifying vitiligo patients based on clinical criteria: this dendrogram represents a decision tree used to classify clusters of patients with vitiligo based on specific clinical criteria. Each internal node represents a decision points with corresponding thresholds, using scores such as Trichrome lesions, VES score, K‐VSCOR, as well as clinical data (involvement of the buttocks or feet). The terminal nodes feature bar charts that display the distribution of target classes within each cluster, where the frequency of each class is depicted.
Clinical heterogeneity in vitiligo: Identification of clinical markers based patient clusters

June 2025

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11 Reads

Background Vitiligo (non‐segmental) is a chronic autoimmune skin disease leading to white patches. Although vitiligo has been delineated previously, the endophenotypes of the disease are still to be defined. Objective The aim of this study was to investigate, without prior hypotheses, whether different clinical phenotypes of vitiligo could be identified and differ based on their demographic and clinical characteristics. Methods This retrospective, non‐interventional, single‐centre study included patients with vitiligo. Demographic and clinical characteristics of vitiligo were recorded. Hierarchical cluster analysis was then performed. Results A total of 399 patients were included. The cluster analysis classified the patients into five clusters as follows: (1) ‘highly active patients’ with elevated frequency of disease activity signs, receiving combinatorial topical and systemic therapy; (2) mild vitiligo patients with younger patients, low surface area involved and absence of signs of disease activity; (3) extensive vitiligo patients, with older patients and the largest surface area involved; (4) and (5) mild or moderate to severe disease, with localization of the lesions on site of chronic skin friction (type 2A koebner phenomenon). Conclusion Patients with vitiligo can be classified into five phenotypes, with two defining the highly active and extensive patients.


PRISMA flow diagram of the study selection process. PRISMA, Preferred Reporting Item for Systematic Reviews and Meta‐Analyses.
of the traffic light graph reviewing authors' judgements about each domain for each included study in the quantitative analysis (n = 78) using the Quadas‐2 tool.
receiver operator characteristics curves summary with confidence contours and prediction zones around the average sensitivity and specificity point. AUC, area under the curve; SENS, sensitivity; SPEC, specificity; SROC, summary receiver operator characteristics curves.
ROC curves comparing different AI models for subgroup prediction of AI models 1 prediction. The prediction in melanoma was associated with a pooled AUC of 0.95 (95% CI: 0.93–0.97) for DL algorithms, a pooled AUC of 0.98 (95% CI: 0.96–0.99) for hybrid models and pooled AUC of 0.95 (95% CI: 0.92–0.96) for ML algorithms. AUC, area under the curve; SENS, sensitivity; SPEC, specificity; SROC, summary receiver operator characteristics curves.
ROC curves comparing different AI models for subgroup prediction of AI models 2 prediction. The prediction in melanoma was associated with a pooled AUC of 0.95 (95% CI: 0.92–0.96) for CNN algorithms, a pooled AUC of 0.96 (95% CI 0.94–0.98) for DCNN algorithms, a pooled AUC of 0.98 (95% CI: 0.96–0.99) for hybrid models and pooled AUC of 0.95 (95% CI: 0.92–0.96) for SVM algorithms. AUC, area under the curve; SENS, sensitivity; SPEC, specificity; SROC, summary receiver operator characteristics curves.
Diagnosis melanoma with artificial intelligence systems: A meta‐analysis study and systematic review

Background One of the most promising and rapidly advancing research areas in recent years is using dermoscopic images for automatic diagnosis with artificial intelligence and machine learning methods. Objective This study aimed to synthesize the existing studies for the clinical use of applications made with artificial intelligence methods and to summarize the predictive performance of deep learning and hybrid models‐based algorithms in all these studies with a large‐scale meta‐analysis. Method The literature review was conducted between January 2006 and May 2024, and meta‐analysis data were created by scanning the Web of Science (WOS), Scopus and MEDLINE databases. This study followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA) checklist. Results A total of 2722 articles were evaluated. Data from 78 diagnostic tests from 39 primary studies meeting the inclusion and exclusion criteria were assessed. The pooled SROC overall model AUC was 0.96 [95% CI: 0.94–0.98], sensitivity was 0.89 [95% CI: 0.85–0.91] and specificity was 0.92 [95% CI: 0.90–0.94]. In the subgroup analyses, the pooled AUC was 0.98 [95% CI: 0.96–0.99] for HYBRID models. Conclusion Recent studies have suggested that artificial intelligence algorithms and machine learning methods should be used extensively in medicine to assist physicians, especially in diagnosing melanoma. The ability of HYBRID model algorithms to predict diseases is promising. In particular, the performance of HYBRID models was found to be high. This information can assist clinicians in interpreting the most appropriate algorithms for diagnosing melanoma.


Frequency of chronic urticaria forms. CIndU, chronic inducible urticaria; CSU, chronic spontaneous urticaria; CU, chronic urticaria. *Presence of itch, hives and/or angioedema for ≥6 weeks. Respondents reported experiencing CSU (n = 667), CIndU (n = 343) and both CSU and CIndU (n = 30) in the past 12 months.
Dermatology‐specific quality of life according to the Dermatology Life Quality Index. CSU, chronic spontaneous urticaria; DLQI, Dermatology Life Quality Index; SD, standard deviation. Mean (SD) DLQI scores of patients with diagnosed CSU – EU5: 8.8 (9.3), France: 8.7 (8.5), Germany: 9.4 (9.4), United Kingdom: 13.3 (10.6), Italy: 5.4 (7.3), Spain: 7.4 (8.5). EU5 – France, Germany, United Kingdom, Italy, Spain.
Health‐related quality of life among patients with diagnosed chronic spontaneous urticaria – (a) MCS and PCS and (b) SF‐6D and EQ‐5D utility index scores. EQ‐5D, EuroQol 5‐Dimension; MCS, mental component summary; NHWS, National Health and Wellness Survey; PCS, physical component summary; SD, standard deviation; SF‐6D, six‐dimension health state short form. EU5 – France, Germany, United Kingdom, Italy, Spain.
Depression and anxiety among the full NHWS sample and patients with diagnosed chronic spontaneous urticaria. CSU, chronic spontaneous urticaria; GAD‐7, Generalized Anxiety Disorder‐7; NHWS, National Health and Wellness Survey; PHQ‐9, Patient Health Questionnaire‐9. EU5 – France, Germany, United Kingdom, Italy, Spain.
Work productivity and activity impairment among patients with diagnosed chronic spontaneous urticaria. CSU, chronic spontaneous urticaria; NHWS, National Health and Wellness Survey; SD, standard deviation. EU5 – France, Germany, United Kingdom, Italy, Spain.
Prevalence, treatment and burden of chronic spontaneous urticaria in five European countries

June 2025

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12 Reads

Background Although chronic spontaneous urticaria (CSU) is a common form of chronic urticaria (CU), its impact on overall disease burden and treatment patterns in real‐world settings requires further understanding. Objectives To assess prevalence, treatment patterns, disease profile and burden in patients with CSU in five European countries (EU5: France, Germany, Italy, Spain and the United Kingdom [UK]). Methods Data were from the 2020 EU5 National Health and Wellness Survey (NHWS). Age‐ and sex‐adjusted prevalence of diagnosed CSU was estimated for the overall EU5 and by country. Sociodemographic, health characteristics, treatment history and dermatology‐specific quality of life were described for the CSU cohort. Patient‐reported outcomes, including the Short Form 12‐item Survey (SF‐12v2) mental (MCS), physical component (PCS) summary scores; SF‐6D; EQ‐5D; General Anxiety Disorder‐7 (GAD‐7); Patient Health Questionnaire‐9 (PHQ‐9); Work Productivity and Activity Impairment (WPAI) and healthcare resource use (HRU), were summarized for the CSU cohort, overall and by country and descriptively compared to the full NHWS sample. Results Of 62,319 respondents, 794 patients were diagnosed with CU. Among these, 519 had CSU. Weighted prevalence of CSU in EU5 was 0.92%. Roughly half of the CSU cohort was treated with prescription and/or over‐the‐counter medication. Among the CSU cohort, 36.7% of patients experienced a very large to extremely large disease impact (Dermatology Life Quality Index [DLQI] > 10); most had poorly controlled disease (71.6%). Mean MCS, PCS, SF‐6D and EQ‐5D scores were worse for CSU versus the full NHWS sample. A higher proportion of the CSU cohort, versus the full NHWS sample, had GAD‐7 and PHQ‐9 scores of ≥5. Mild–severe anxiety, depression and WPAI scores were highest in the UK. HRU was higher in the CSU cohort than in the full NHWS sample. Conclusion CSU negatively impacts patients' lives. Yet, many patients remain inadequately treated and uncontrolled. These results highlight a need for comprehensive care approaches to improve patient outcomes.





Immune checkpoint molecules and spatial transcriptome profiles according to BRAF status in acral melanoma

June 2025

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2 Reads

Background Acral melanoma (AM) shows different genomic profiles based on BRAF status, and the data on the association with BRAF and immune checkpoint molecules are lacking. Objectives This study aimed to identify the significance of BRAF mutation in AMs, exploring expression patterns of immune checkpoint molecules and transcriptome profiles related to tumour immunity according to BRAF status. Methods Immunohistochemical (IHC) staining of BRAF, Programmed death‐1 (PD‐1), Lymphocyte‐activation gene‐3 (LAG‐3) and T‐Cell Immunoglobulin and mucin domain‐3 (TIM‐3) was performed on AM tissues. Through spatial transcriptome analysis, the correlation between BRAF expression and immune checkpoint molecule expression was examined. Analysis on differentially expressed genes along with pathway analysis and immune cell deconvolution was performed comparing BRAF‐high and BRAF‐low groups at the mRNA level. Results In IHC and spatial transcriptome analysis, BRAF positivity was associated with high expression of PD‐1, LAG‐3 and TIM‐3. Among a total of 144 patients, positive IHC results for BRAF (p < 0.01), PD‐1 (p < 0.01), LAG‐3 (p < 0.01) and TIM‐3 (p < 0.01) were significantly associated with histopathologic traits including pathological subtypes, cytomorphology, pagetoid spread and nest formation. In spatial transcriptome analysis, the expression level of LAG‐3 showed a significant association with the expression level of BRAF (p < 0.01). Pathways related to anti‐tumour immunity were significantly downregulated in the BRAF‐high group. In immune cell deconvolution, endothelial cells (p = 0.001), mast cells (p = 0.014) and neutrophils (p = 0.004) were significantly higher in the BRAF‐high group. Conclusions BRAF mutation in AM is associated with increased expression of immune checkpoint molecules, supporting the use of immunotherapy for BRAF‐mutant AM in clinical practice. Different tumour microenvironments regarding tumour immunity in BRAF‐mutant AM may explain the poor prognosis.






Discontinuation due to ineffectiveness: Overlaid Kaplan–Meier (KM) survival curves and Flexible Parametric Model (FPM) survival curves for discontinuation due to ineffectiveness over 2 years. FPM estimates survival using restricted cubic splines, allowing for time‐dependent hazards and more accurate drug survival comparisons. Shaded areas represent 95% confidence intervals for the FPM estimates. The y‐axis starts from 0.60 for presentation clarity purposes.
Discontinuation due to adverse events: Overlaid Kaplan–Meier (KM) survival curves and Flexible Parametric Model (FPM) survival curves for discontinuation due to adverse events over 2 years. FPM accounts for changes in treatment persistence over time and provides restricted mean survival time (RMST) estimates for improved clinical interpretation. Shaded areas represent 95% confidence intervals for the FPM estimates. Y‐axis starts from 0.75 for presentation clarity purposes.
Drug survival of IL‐23 and IL‐17 inhibitors versus other biologics for psoriasis: A British Association of Dermatologists Biologics and Immunomodulators Register cohort study

May 2025

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21 Reads

Background Interleukin (IL)‐23p19 and IL‐17 inhibitors have demonstrated high efficacy for psoriasis in randomized controlled trials, though real‐world data, particularly for risankizumab (IL‐23p19 inhibitor) and brodalumab (IL‐17 receptor (IL‐17R) inhibitor), is limited. Objectives To assess drug survival of IL‐23p19 and IL‐17 inhibitors compared to other biologics for psoriasis. Methods We conducted a cohort study using data from the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR) from November 2007 to June 2023. Multivariable flexible parametric models assessed drug survival, with discontinuation due to ineffectiveness and adverse effects reported separately. The primary outcome measure was the absolute difference in restricted mean survival time at 2 years, referred to as adjusted survival time, between all comparators. Results Among 19,034 treatment courses (median follow‐up: 2.3 years), treatments included adalimumab (tumour necrosis factor‐alpha (TNF‐a) inhibitor, n = 6,815), ustekinumab (IL‐12/23p40 inhibitor, n = 5,639), secukinumab (IL‐17A inhibitor, n = 3,051), ixekizumab (IL‐17A inhibitor, n = 1,072), brodalumab (n = 367), guselkumab (IL‐23p19 inhibitor, n = 1,258) and risankizumab (n = 832). Guselkumab and risankizumab had the highest adjusted survival times (years [interquartile ranges]) for effectiveness (1.93 [1.91–1.95] and 1.93 [1.90–1.96], respectively). Risankizumab had the highest survival for safety (1.94 [1.92–1.96]) followed by guselkumab (1.92 [1.90–1.94]) and ustekinumab (1.92 [1.91–1.93]). Brodalumab showed lower adjusted survival time for effectiveness (1.75 [1.69–1.81]) than most biologics except secukinumab and adalimumab; and similar survival for safety (1.85 [1.81–1.90]) compared to IL‐17A inhibitors and adalimumab. In patients with psoriatic arthritis, ustekinumab showed reduced drug survival. Prior biologic exposure was associated with a dose–response reduction in survival which was significantly larger for IL‐17 inhibitors. Conclusions Guselkumab and risankizumab have the most favourable drug survival for effectiveness, with comparable safety to ustekinumab, and more favourable than other BADBIR biologics. Longer drug survival may reduce treatment burden by minimizing treatment switches, clinic visits and disease flares, supporting IL‐23p19 inhibitors as a practical long‐term option for psoriasis.


Prognosis of increasing percentages of lesional body surface area in early stage mycosis fungoides

May 2025

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10 Reads

Background Early‐stage mycosis fungoides (MF) is often an indolent disease with a favourable prognosis, though 25% progress to advanced stages. Patients with ≥10% body surface area (BSA) involvement have a worse prognosis than those with <10%, but the impact of other BSA levels remains unclear. Objectives This study aimed to determine whether additional BSA cut‐off points higher than 10% provide additional prognostic information. Methods This study included 401 patients with early‐stage MF of the Leiden University Medical Centre and a validation cohort of 602 patients from the PROCLIPI database. Different percentages of lesional BSA were analysed both in the total groups and in subgroups of patients with only patch‐stage disease or with patch–plaques‐stage disease, and correlated with survival. Results Both cohorts showed a progressive and gradual decline in overall survival (OS) with each 10% increase in BSA, reaching a 5‐year OS below 50% (LUMC) or 70% (PROCLIPI) for BSA ≥40%. In both cohorts, patients with a BSA of 10%–39% had a significantly worse OS than those with a BSA of less than 10%, but a significantly better OS than those with ≥40%. These differences in OS were only found in patients with patches and plaques and not in patients with only patches. Conclusions An additional cut‐off point of 40% involved BSA has prognostic significance in patients with early patch/plaque‐stage MF and may be included in future updates of the clinical staging system. In these patients, systemic therapies should be considered.


Lichenoid graft‐versus‐host disease shows a high interferon score, with IFNAR1 inhibition preventing skin inflammation

May 2025

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18 Reads

Background Chronic cutaneous graft‐versus‐host disease (ccGVHD) is a debilitating complication of allogeneic haematopoietic stem cell transplantation, manifesting as either sclerotic or lichenoid eruptions (lGVHD). Although frequent, the pathogenesis of lGVHD remains mainly unknown and represents a therapeutic challenge. Objectives This study aims to decipher the immunological mechanisms underlying lichenoid GVHD and to evaluate the effect of blocking the Type I interferons (IFN‐I) pathway in a mice model of ccGVHD on local inflammation. Methods First, we performed single‐cell gene expression analysis (scRNA‐Seq) of human lGVHD skin samples (n = 3) compared with healthy control (n = 4) and analysed the distribution and inflammatory signatures of immune cells. Results were confronted with bulk‐RNA‐Seq data of an independent cohort of lGVHD (n = 8) previously published by our group to compare the predicted immune population within lGVHD skin through deconvolution analyses. The IFN‐I score was assessed through quantitative PCR on lGVHD lesions (n = 13) compared with HC (n = 10). Secondly, we analysed publicly available skin microarray data from a mouse model of ccGVHD, in which allografted mice were treated with an anti‐IFNAR1 antibody targeting the Type I interferon receptor. Results ScRNA‐Seq analysis of human immune cells revealed a strong Type I and II interferons signature in lGVHD skin, along with an increased expression of Th2/Th17 and activation markers in T cells and macrophages, respectively. Consistent with our human data, murine skin GVHD samples were characterized by interferon and allograft inflammatory responses, which were greatly prevented by early infusions of anti‐IFNAR1 antibody after allograft. Bioinformatic analyses highlighted interferons, along with Th2 and Th17 markers, as putative key regulators in mice skin inflammation that were also diminished or abrogated consequently to early anti‐IFNAR1 antibody infusions. Conclusion Together, our data suggests that interferon pathways, and in particular Type I via IFNAR1, may be promising therapeutic targets for the treatment of lichenoid chronic GVHD.










Journal metrics


8.5 (2023)

Journal Impact Factor™


16%

Acceptance rate


10.7 (2023)

CiteScore™


5 days

Submission to first decision


1.903 (2023)

SNIP


$5,450.00 / £3,690.00 / €4,600.00

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