Publications by authors named "Dugas Martin"

Background: Pituitary neuroendocrine tumors (PitNET) are among the most common intracranial tumors. Despite a frequent benign course, aggressive behavior can occur. Tumor behavior is known to be under the influence of the tumor microenvironment (TME).

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Background And Objectives: Malignant melanoma affects younger working individuals. This study investigated work ability and sick leave within one year after diagnosis, as well as the impact of rehabilitation and psycho-oncological measures on employment outcomes.

Patients And Methods: In this monocentric, prospective, observational cohort study, 221 patients (62.

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Article Synopsis
  • Advances in technology now allow for patient-centered health data sharing through smartphones and wearables, although many existing Remote Patient Monitoring (RPM) systems are not well-integrated with hospital IT systems.
  • The study aimed to create a secure and user-friendly RPM system using widely available devices like the Apple Watch, while also assessing patient acceptance factors.
  • The RPM system was developed through focus groups and tested over 12 months in a study for Dilated Cardiomyopathy, measuring usability and data interaction, with analysis based on various patient demographics.
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  • Peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) is a diverse and challenging type of cancer that often has poor outcomes, especially in younger patients lacking the SMARCB1 protein.
  • Research indicated that human and mouse PTCL-NOS exhibit similar DNA changes, including the hypermethylation of T-cell genes and the hypomethylation of myeloid development genes, contributing to a complicated tumor ecosystem.
  • A study found that histone deacetylase inhibitors (HDACi), like SAHA, can effectively treat PTCL-NOS by modifying the tumor's microenvironment and improving immune function, paving the way for potential combination therapies.
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Pruritus often escapes physicians' attention in patients with peripheral neuropathy (PNP). Here we aimed to characterize neuropathic pruritus in a cohort of 191 patients with PNP (large, mixed, or small fiber) and 57 control subjects with deep phenotyping in a multicenter cross-sectional observational study at 3 German sites. All participants underwent thorough neurological examination, nerve conduction studies, quantitative sensory testing, and skin biopsies to assess intraepidermal nerve fiber density.

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Background: Structural metadata from the majority of clinical studies and routine health care systems is currently not yet available to the scientific community.

Objective: To provide an overview of available contents in the Portal of Medical Data Models (MDM Portal).

Methods: The MDM Portal is a registered European information infrastructure for research and health care, and its contents are curated and semantically annotated by medical experts.

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Epigenetic modulation of the cell-intrinsic immune response holds promise as a therapeutic approach for leukemia. However, current strategies designed for transcriptional activation of endogenous transposons and subsequent interferon type-I (IFN-I) response, show limited clinical efficacy. Histone lysine methylation is an epigenetic signature in IFN-I response associated with suppression of IFN-I and IFN-stimulated genes, suggesting histone demethylation as key mechanism of reactivation.

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Background: The Network University Medicine projects are an important part of the German COVID-19 research infrastructure. They comprise 2 subprojects: COVID-19 Data Exchange (CODEX) and Coordination on Mobile Pandemic Apps Best Practice and Solution Sharing (COMPASS). CODEX provides a centralized and secure data storage platform for research data, whereas in COMPASS, expert panels were gathered to develop a reference app framework for capturing patient-reported outcomes (PROs) that can be used by any researcher.

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Structured patient data play a key role in all types of clinical research. They are often collected in study databases for research purposes. In order to describe characteristics of a next-generation study database and assess the feasibility of its implementation a proof-of-concept study in a German university hospital was performed.

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Background: Narcissistic personality traits have been theorised to negatively affect depressive symptoms, therapeutic alliance, and treatment outcome, even in the absence of narcissistic personality disorder. We aimed to examine how the dimensional narcissistic facets of admiration and rivalry affect depressive symptoms across treatment modalities in two transdiagnostic samples.

Methods: We did a naturalistic, observational prospective cohort study in two independent adult samples in Germany: one sample pooled from an inpatient psychiatric clinic and an outpatient treatment service offering cognitive behavioural treatment (CBT), and one sample from an inpatient clinic providing psychoanalytic interactional therapy (PIT).

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Background: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotations by medical experts are crucial, but still a bottleneck, we prospectively investigate active learning (AL) to reduce annotation effort and present automatic recognition of surgomic features.

Methods: To establish a process for development of surgomic features, ten video-based features related to bleeding, as highly relevant intraoperative complication, were chosen.

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Growth factor independence 1 (GFI1) is a DNA-binding transcription factor and a key regulator of hematopoiesis. GFI1-36N is a germ line variant, causing a change of serine (S) to asparagine (N) at position 36. We previously reported that the GFI1-36N allele has a prevalence of 10% to 15% among patients with acute myeloid leukemia (AML) and 5% to 7% among healthy Caucasians and promotes the development of this disease.

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Growth factor independence 1 (GFI1) is a transcriptional repressor protein that plays an essential role in the differentiation of myeloid and lymphoid progenitors. We and other groups have shown that GFI1 has a dose-dependent role in the initiation, progression, and prognosis of acute myeloid leukaemia (AML) patients by inducing epigenetic changes. We now demonstrate a novel role for dose-dependent GFI1 expression in regulating metabolism in haematopoietic progenitor and leukaemic cells.

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The BAF (BRG1/BRM-associated factor) chromatin remodelling complex is essential for the regulation of DNA accessibility and gene expression during neuronal differentiation. Mutations of its core subunit SMARCB1 result in a broad spectrum of pathologies, including aggressive rhabdoid tumours or neurodevelopmental disorders. Other mouse models have addressed the influence of a homo- or heterozygous loss of Smarcb1, yet the impact of specific non-truncating mutations remains poorly understood.

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So far, the portal for medical data models allows its users to download medical forms in a standardized format. Importing data models into electronic data capture software involved a manual step of downloading and importing the files. Now, the portal was enhanced with a web services interface to allow electronic data capture systems to automatically download the forms.

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Purpose: Clinical checklists are the standard of care to determine whether a child with cancer shows indications for genetic testing. Nevertheless, the efficacy of these tests to reliably detect genetic cancer predisposition in children with cancer is still insufficiently investigated.

Methods: We assessed the validity of clinically recognizable signs to identify cancer predisposition by correlating a state-of-the-art clinical checklist to the corresponding exome sequencing analysis in an unselected single-center cohort of 139 child-parent data sets.

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Article Synopsis
  • Scientists are using new tools to help find out if kids might have gene flaws that could lead to cancer, especially in blood-related diseases.
  • They studied 131 children and their parents, discovering a total of 458 gene changes, but only found that a small number of these children (only 5) had gene changes linked to cancer.
  • The research showed that more gene changes are found in kids as their dads get older, and this type of study helps understand how these gene changes get passed down and their possible connection to diseases.
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In clinical research as well as patient care, structured documentation of findings is an important task. In many cases, this is achieved by means of electronic case report forms (eCRF) using corresponding information technology systems. To avoid double data entry, eCRF systems can be integrated with electronic health records (EHR).

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Background: Clinical decision-making for patients with myelodysplastic syndromes (MDS) is challenging, and both disease and treatment effects heavily impact health-related quality of life (HRQoL) of these patients. Therefore, disease-specific HRQoL measures can be critical to harness the patient voice in MDS research.

Methods: We report a prospective international validation study of the Quality of Life in Myelodysplasia Scale (QUALMS) with a main focus on providing information on the psychometric characteristics of its three subscales: physical burden (QUALMS-P), emotional burden (QUALMS-E), and benefit finding (QUALMS-BF).

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Predisposing CHEK2 germline variants are associated with various adult-type malignancies, whereas their impact on cancer susceptibility in childhood cancer is unclear. To understand the frequency of germline variants in the CHEK2 gene and their impact on pediatric malignancies, we used whole-exome sequencing to search for CHEK2 variants in the germlines of 418 children diagnosed with cancer in our clinics. Moreover, we performed functional analysis of the pathogenic CHEK2 variants to analyze the effect of the alterations on CHK2 protein function.

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The process of spermatogenesis-when germ cells differentiate into sperm-is tightly regulated, and misregulation in gene expression is likely to be involved in the physiopathology of male infertility. The testis is one of the most transcriptionally rich tissues; nevertheless, the specific gene expression changes occurring during spermatogenesis are not fully understood. To better understand gene expression during spermatogenesis, we generated germ cell-specific whole transcriptome profiles by systematically comparing testicular transcriptomes from tissues in which spermatogenesis is arrested at successive steps of germ cell differentiation.

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Article Synopsis
  • Surgomics is a new approach to personalized medicine that focuses on analyzing intraoperative surgical data using machine learning to improve individualized surgical care.
  • A study identified 52 surgomic features from various data sources, with experts rating "surgical skill and quality of performance" as the most clinically relevant and "Instrument" as the most feasible to extract automatically.
  • The findings suggest that integrating Surgomics with other preoperative data can enhance patient care by understanding the processes of surgery better and predicting outcomes more accurately.
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