53 research outputs found

    STAT3 dysregulation in mature T and NK cell lymphomas

    Get PDF
    T cell lymphomas comprise a distinct class of non-Hodgkin’s lymphomas, which include mature T and natural killer (NK) cell neoplasms. While each malignancy within this group is characterized by unique clinicopathologic features, dysregulation in the Janus tyrosine family of kinases/Signal transducer and activator of transcription (JAK/STAT) signaling pathway, specifically aberrant STAT3 activation, is a common feature among these lymphomas. The mechanisms driving dysregulation vary among T cell lymphoma subtypes and include activating mutations in upstream kinases or STAT3 itself, formation of oncogenic kinases which drive STAT3 activation, loss of negative regulators of STAT3, and the induction of a pro-tumorigenic inflammatory microenvironment. Constitutive STAT3 activation has been associated with the expression of targets able to increase pro-survival signals and provide malignant fitness. Patients with dysregulated STAT3 signaling tend to have inferior clinical outcomes, which underscores the importance of STAT3 signaling in malignant progression. Targeting of STAT3 has shown promising results in pre-clinical studies in T cell lymphoma lines, ex-vivo primary malignant patient cells, and in mouse models of disease. However, targeting this pleotropic pathway in patients has proven difficult. Here we review the recent contributions to our understanding of the role of STAT3 in T cell lymphomagenesis, mechanisms driving STAT3 activation in T cell lymphomas, and current efforts at targeting STAT3 signaling in T cell malignancies

    The PROVe study: US real-world experience with chlormethine/mechlorethamine gel in combination with other therapies for patients with mycosis fungoides cutaneous T-cell lymphoma

    Get PDF
    BACKGROUND: Chlormethine/mechlorethamine gel is a skin-directed therapy for patients with mycosis fungoides cutaneous T-cell lymphoma. Currently, real-world data on chlormethine gel are lacking. OBJECTIVE: Our objective was to analyze the effect of chlormethine gel in combination with other therapies on efficacy, safety, and health-related quality of life in a real-world setting. METHODS: This prospective, observational study enrolled adult patients actively using chlormethine gel. Patients were monitored for up to 2 years during standard-of-care clinic visits. No specific visit schedules or clinical assessments, with the exception of patient-completed questionnaires, were mandated because of the expected variability in practice patterns. The primary efficacy endpoint was the proportion of patients with stage IA-IB disease receiving chlormethine + topical corticosteroids + other with ≥ 50% decrease in body surface area from baseline to 12 months. Response was assessed at each visit using by-time analysis, which investigates the trend to treatment response and allows assessment of response over time. Health-related quality of life was assessed with the Skindex-29 questionnaire. RESULTS: In total, 298 patients were monitored. At 12 months post-treatment initiation, 44.4% (chlormethine + topical corticosteroids + other) and 45.1% (patients receiving chlormethine + other treatment) of efficacy-evaluable patients were responders. By-time analysis demonstrated that peak response occurred (chlormethine + other; 66.7%) at 18 months. There was a significant correlation between responder status and lower post-baseline Skindex-29 scores. CONCLUSIONS: This real-world study confirmed that chlormethine gel is an important therapeutic option for patients with mycosis fungoides and contributes to reducing the severity of skin lesions and improving health-related quality of life

    Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review

    Get PDF
    Skin cancer mortality rates continue to rise, and survival analysis is increasingly needed to understand who is at risk and what interventions improve outcomes. However, current statistical methods are limited by inability to synthesize multiple data types, such as patient genetics, clinical history, demographics, and pathology and reveal significant multimodal relationships through predictive algorithms. Advances in computing power and data science enabled the rise of artificial intelligence (AI), which synthesizes vast amounts of data and applies algorithms that enable personalized diagnostic approaches. Here, we analyze AI methods used in skin cancer survival analysis, focusing on supervised learning, unsupervised learning, deep learning, and natural language processing. We illustrate strengths and weaknesses of these approaches with examples. Our PubMed search yielded 14 publications meeting inclusion criteria for this scoping review. Most publications focused on melanoma, particularly histopathologic interpretation with deep learning. Such concentration on a single type of skin cancer amid increasing focus on deep learning highlight growing areas for innovation; however, it also demonstrates opportunity for additional analysis that addresses other types of cutaneous malignancies and expands the scope of prognostication to combine both genetic, histopathologic, and clinical data. Moreover, researchers may leverage multiple AI methods for enhanced benefit in analyses. Expanding AI to this arena may enable improved survival analysis, targeted treatments, and outcomes

    Global patterns of care in advanced stage mycosis fungoides/Sezary syndrome: a multicenter retrospective follow-up study from the Cutaneous Lymphoma International Consortium

    Get PDF
    ABSTRACT Background Advanced-stage mycosis fungoides (MF)/Sezary syndrome (SS) patients are weighted by an unfavorable prognosis and share an unmet clinical need of effective treatments. International guidelines are available detailing treatment options for the different stages but without recommending treatments in any particular order due to lack of comparative trials. The aims of this second CLIC study were to retrospectively analyze the pattern of care worldwide for advanced-stage MF/SS patients, the distribution of treatments according to geographical areas (USA versus non-USA), and whether the heterogeneity of approaches has potential impact on survival. Patients and methods This study included 853 patients from 21 specialist centers (14 European, 4 USA, 1 each Australian, Brazilian, and Japanese). Results Heterogeneity of treatment approaches was found, with up to 24 different modalities or combinations used as first-line and 36% of patients receiving four or more treatments. Stage IIB disease was most frequently treated by total-skin-electron-beam radiotherapy, bexarotene and gemcitabine; erythrodermic and SS patients by extracorporeal photochemotherapy, and stage IVA2 by polychemotherapy. Significant differences were found between USA and non-USA centers, with bexarotene, photopheresis and histone deacetylase inhibitors most frequently prescribed for first-line treatment in USA while phototherapy, interferon, chlorambucil and gemcitabine in non-USA centers. These differences did not significantly impact on survival. However, when considering death and therapy change as competing risk events and the impact of first treatment line on both events, both monochemotherapy (SHR = 2.07) and polychemotherapy (SHR = 1.69) showed elevated relative risks. Conclusion This large multicenter retrospective study shows that there exist a large treatment heterogeneity in advanced MF/SS and differences between USA and non-USA centers but these were not related to survival, while our data reveal that chemotherapy as first treatment is associated with a higher risk of death and/or change of therapy and thus other therapeutic options should be preferable as first treatment approach

    Data from: An integrated data resource for genomic analysis of cutaneous T-cell lymphoma

    No full text
    Recently, several groups have conducted sequencing studies of cutaneous T-cell lymphoma (CTCL) in order to identify disease driving mutations. An integrated genomic dataset that combines multiple cohorts may facilitate more comprehensive studies of disease pathways and genomic classification of CTCL, but currently no such resource is available. In this study we compiled and analyzed one such dataset that included matched genomic mutations and copy number alterations of 139 CTCL cases. Using this dataset, we studied mutual exclusivity of mutations in the most frequently mutated pathways and survival curves depending on mutation load and other parameters. We found that mutations in the NFkB pathway genes PLCG1, CARD11 and TNFRSF1B were mutually exclusive. Mutations in the NFkB pathway genes and those in p53 were also mutually exclusive. No significant difference in overall survival was seen between SS cases with or without mutations in p53 or the NFkB pathway genes. There was a difference in overall survival between SS cases with the most and the fewest mutations in the genome. These results suggest the possibility of classifying CTCL by underlying pathogenic pathways and the potential for selective targeting of CTCL by patient-specific mutations in order to personalize CTCL therapies
    • …
    corecore