Publications by authors named "Utikal J"

Immune-checkpoint inhibitors (ICIs) have revolutionized melanoma treatment, yet approximately half of patients do not respond to these therapies. Identifying prognostic biomarkers is crucial for treatment decisions. Our retrospective study assessed liquid biopsies and tumor tissue analyses for two potential biomarkers: danger-associated molecular pattern (DAMP) S100A8/A9 and its source, neutrophils.

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Background: Cancer immunotherapy has revolutionized melanoma treatment, but the high number of non-responders still emphasizes the need for improvement of therapy. One potential avenue for enhancing anti-tumor treatment is through the modulation of coagulation and platelet activity. Both have been found to play an important role in the tumor microenvironment, tumor growth and metastasis.

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Primary cutaneous T cell lymphomas (CTCL) are characterized by high relapse rates to initially highly effective therapies. Combination therapies have proven beneficial, particularly if they incorporate extracorporeal photopheresis (ECP). The NF-κB inhibitor dimethyl fumarate (DMF) has proven a new, effective drug in CTCL in a clinical phase II study.

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Background: Immunotherapies for malignant melanoma are challenged by the resistance developed in a significant proportion of patients. Myeloid-derived suppressor cells (MDSC), with their ability to inhibit antitumor T-cell responses, are a major contributor to immunosuppression and resistance to immune checkpoint therapies in melanoma. Damage-associated molecular patterns S100A8, S100A9, and HMGB1, acting as toll like receptor 4 (TLR4) and receptor for advanced glycation endproducts (RAGE) ligands, are highly expressed in the tumor microenvironment and drive MDSC activation.

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  • Scientists are studying how well AI can help find melanoma, a serious skin cancer, by testing it against dermatologists using a wide variety of skin images from different hospitals.
  • They found out that the AI was better at catching melanoma early compared to the dermatologists, which could help patients get treated faster.
  • The researchers think that using AI could be a great tool for doctors, especially for tricky cases of skin cancer.
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  • Advancing age makes it harder for people to fight skin melanoma, a type of skin cancer.
  • Scientists found that tiny particles called extracellular vesicles (EVs) from older cells change in content, even though they look the same as those from younger cells.
  • A special protein called CD9 decreases as we age, which affects how these EVs can help tumors grow, making older cells better at supporting cancer.
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  • Researchers studied patients with advanced skin cancer (melanoma) to see how well they responded to a special treatment called immune checkpoint inhibition (ICI).
  • They found that only about 8% of patients responded quickly to the treatment, while others had slower responses or did not respond at all.
  • Despite the quick responders showing some improvement, they didn’t live longer or have better outcomes than those who responded later to the treatment.
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After recognizing its ligand lipopolysaccharide, Toll-like receptor 4 (TLR4) recruits adaptor proteins to the cell membrane, thereby initiating downstream signaling and triggering inflammation. Whether this recruitment of adaptor proteins is dependent solely on protein-protein interactions is unknown. Here, we report that the sphingolipid sphinganine physically interacts with the adaptor proteins MyD88 and TIRAP and promotes MyD88 recruitment in macrophages.

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Background: Melanomas lacking mutations in BRAF, NRAS and NF1 are frequently referred to as "triple wild-type" (tWT) melanomas. They constitute 5-10 % of all melanomas and remain poorly characterized regarding clinical characteristics and response to therapy. This study investigates the largest multicenter collection of tWT-melanomas to date.

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This study investigated whether adjuvant treatments in stage III cutaneous melanoma (CM) influenced patterns of recurrence. Patients with primary (n = 1033) or relapsed CM (n = 350) who received adjuvant therapies with Nivolumab (N), Pembrolizumab (P), or Dabrafenib and Trametinib (D + T) were extracted from the prospective multicenter real-world skin cancer registry ADOReg. Endpoints were progression-free survival (PFS), distant metastasis-free survival (DMFS), organ-specific DMFS, and overall survival (OS).

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The ability of tumor-derived extracellular vesicles (EVs) to modulate the function of myeloid cells is widely recognized. Hence, a comprehensive understanding of the distinct components associated with EVs and the signals that they deliver to myeloid cells could provide potential approaches to impede the immunosuppression by myeloid-derived suppressor cells (MDSCs). We investigated melanoma EV-associated microRNAs (miRs) using the RET transgenic melanoma mouse model and simulated their transfer to normal myeloid cells by transfecting immature mouse myeloid cells and human monocytes.

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Article Synopsis
  • - The treatment options for metastatic uveal melanoma (UM) are still limited and the overall prognosis is poor, despite recent advancements; immune checkpoint blockade (ICB) is a common treatment but can cause severe adverse effects.
  • - A study involving 194 patients analyzed the relationship between immune-related adverse events (irAE) and survival outcomes, finding that those with severe irAE had better overall survival compared to those without or with mild irAE.
  • - The results suggest that certain types of irAE, like irColitis and irHepatitis, may be linked to longer survival, indicating that a lower tolerance to tumor antigens might correlate with a lower tolerance to self-antigens.
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  • Screening for gene mutations in melanoma has become standard practice, with identified mutations impacting prognosis in metastatic uveal melanoma, while their significance in non-uveal melanoma is still unclear.
  • A study analyzing 2,650 melanoma cases found mutations in 129 samples, highlighting differences in the prevalence and types of mutations between uveal and non-uveal melanomas.
  • Unlike uveal melanomas, where mutations are linked to worse outcomes, mutations in non-uveal melanomas are mostly seen as "passenger mutations" with little impact on prognosis or treatment effectiveness.
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  • * These tumors can be aggressive, often recurring and metastasizing, especially periocular ones (up to 15%), while extraocular cases have a lower metastasis rate (up to 2%).
  • * The main treatment is complete micrographically controlled surgery, with additional options like radiotherapy, while advanced cases may require individualized treatment plans from a tumor board due to a lack of standard therapies.
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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.

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Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack precise, domain-specific explanations. Moreover, the impact of XAI methods on dermatologists' decisions has not yet been evaluated.

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Anticancer agents continue to dominate the list of newly approved drugs, approximately half of which are immunotherapies. This trend illustrates the considerable promise of cancer treatments that modulate the immune system. However, the immune system is complex and dynamic, and can have both tumour-suppressive and tumour-promoting effects.

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Background: The impact of immunosuppressive therapy (IST) on immune-checkpoint inhibition (ICI) is unclear.

Methods: Patients with unresectable advanced melanoma (MM) treated with ICI in the years 2011-2020 were identified from the prospective multicenter German skin cancer registry ADOREG. Patients with IST within 60 days before, or within 30 days after start of ICI were compared to patients without IST.

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Pathogen-associated molecular patterns (PAMPs) are involved in the pathogenesis of septic cardiomyopathy through a toll-like receptor (TLR)-mediated immune response. Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) can reflect the innate immune abilities of cardiomyocytes. Therefore, hiPSC-CMs may provide an attractive tool with which to study PAMP-induced alterations in cardiomyocytes.

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Melanoma has the highest propensity of all cancers to metastasize to the brain with a large percentage of late-stage patients developing metastases in the central nervous system (CNS). It is well known that metastasis establishment, cell survival, and progression are affected by tumour-host cell interactions where changes in the host cellular compartments likely play an important role. In this context, miRNAs transferred by tumour derived extracellular vesicles (EVs) have previously been shown to create a favourable tumour microenvironment.

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Background: Historically, cancer diagnoses have been made by pathologists using two-dimensional histological slides. However, with the advent of digital pathology and artificial intelligence, slides are being digitised, providing new opportunities to integrate their information. Since nature is 3-dimensional (3D), it seems intuitive to digitally reassemble the 3D structure for diagnosis.

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