Publications by authors named "Nauta I"

Background/objectives: Most studies on the interaction between the immune system and cancer focus on T-cells, whereas studies on tumor-infiltrating B-lymphocytes (TIL-Bs) are still underrepresented. The aim of this study was to assess the prognostic impact of TIL-Bs in early- and advanced-stage oral cavity squamous cell carcinoma (OCSCC).

Methods: In total, 222 OCSCCs were studied.

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Background: Older adults at the emergency department (ED) with fall-related injuries are at risk of repeated falls. National guidelines state that the ED is responsible for initiating fall preventive care. A transmural fall-prevention care pathway (TFCP) at the ED can guide patients to tailored interventions.

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Background: Literature on the intricate relationship between self-reported and objectively assessed cognitive functioning suggests a discrepancy between self-reported cognitive complaints (SCC) and actual test performance.

Objectives: To investigate the interplay between patient-reported outcome measures (PROMs) and objective cognitive functioning using network analysis in people with multiple sclerosis (PwMS).

Methods: We collected PROMs on anxiety, depression, fatigue and SCC, and cognitive functioning across six domains ( = 703 PwMS; 71% female, mean age = 46.

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Cancer is caused by an accumulation of somatic mutations and copy number alterations (CNAs). Besides mutations, these copy number changes are key characteristics of cancer development. Nonetheless, some tumors show hardly any CNAs, a remarkable phenomenon in oncogenesis.

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Background: A major challenge in the clinical management of oral cavity squamous cell carcinoma is local relapse. Even when surgical margins are tumor-free, local relapses occur frequently, and relapse prediction by histology remains suboptimal. In leukoplakia, an oral potentially malignant disorder, the presence of architectural dysplasia is a critical risk factor for malignant transformation.

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Background: Multiple sclerosis (MS) frequently gives rise to depressive and anxiety symptoms, but these are often undertreated. This study investigated the effect of mindfulness-based cognitive therapy (MBCT) and cognitive rehabilitation therapy (CRT) on psychological outcomes and quality of life (QoL), and whether they mediate treatment effects on MS-related cognitive problems.

Methods: This randomized controlled trial included MS patients with cognitive complaints (n = 99) and compared MBCT (n = 32) and CRT (n = 32) to enhanced treatment as usual (n = 35).

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Background: The heterogeneous nature of cognitive impairment in people with multiple sclerosis (PwMS) hampers understanding of the underlying mechanisms and developing patient-tailored interventions. We aim to identify and classify cognitive profiles in PwMS, comparing these to cognitive status (preserved versus impaired).

Methods: We included 1213 PwMS (72% female, age 45.

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Background: Cognitive treatment response varies highly in people with multiple sclerosis (PwMS). Identification of mechanisms is essential for predicting response.

Objectives: This study aimed to investigate whether brain network function predicts response to cognitive rehabilitation therapy (CRT) and mindfulness-based cognitive therapy (MBCT).

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Background: Studies in animal models of Alzheimer's disease (AD) have provided valuable insights into the molecular and cellular processes underlying neuronal network dysfunction. Whether and how AD-related neurophysiological alterations translate between mice and humans remains however uncertain.

Methods: We characterized neurophysiological alterations in mice and humans carrying AD mutations in the APP and/or PSEN1 genes, focusing on early pre-symptomatic changes.

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Background: Cognitive impairment in people with MS (PwMS) has primarily been investigated using conventional imaging markers or fluid biomarkers of neurodegeneration separately. However, the single use of these markers do only partially explain the large heterogeneity found in PwMS.

Objective: To investigate the use of multimodal (bio)markers: i.

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Background And Purpose: Prognosis in locally advanced head and neck cancer (HNC) is currently based on TNM staging system and tumor subsite. However, quantitative imaging features (i.e.

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Background: Suboptimal performance during neuropsychological testing frequently occurs in multiple sclerosis (MS), leading to unreliable cognitive outcomes. Neurophysiological alterations correlate with MS-related cognitive impairment, but studies have not yet considered performance validity.

Objectives: To investigate neurophysiological markers of cognitive impairment in MS, while explicitly addressing performance validity.

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Article Synopsis
  • High-risk HPV infection is a critical factor in oropharyngeal cancer and has important implications for prognosis.
  • The P16 IHC test is commonly used to identify HPV-driven cancers, but its effectiveness as a standalone indicator can vary among different populations.
  • The authors propose a formula to estimate the false positive rate of the P16 IHC test based on HPV prevalence and warn against relying solely on this test for treatment decisions, recommending follow-up with HPV detection methods, especially in populations with low HPV-related cancer rates.
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Background: Cognitive problems, both complaints and objective impairments, are frequent and disabling in patients with multiple sclerosis (MS) and profoundly affect daily living. However, intervention studies that focus on cognitive problems that patients experience in their daily lives are limited. This study therefore aimed to investigate the effectiveness of cognitive rehabilitation therapy (CRT) and mindfulness-based cognitive therapy (MBCT) on patient-reported cognitive complaints in MS.

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Background: A common problem in resting-state neuroimaging studies is that subjects become drowsy or fall asleep. Although this could drastically affect neurophysiological measurements, such as magnetoencephalography (MEG), its specific impact remains understudied. We aimed to systematically investigate how often drowsiness is present during resting-state MEG recordings, and how the state changes alter quantitative estimates of oscillatory activity, functional connectivity, and network topology.

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Multiple sclerosis (MS) features extensive connectivity changes, but how structural and functional connectivity relate, and whether this relation could be a useful biomarker for cognitive impairment in MS is unclear. This study included 79 MS patients and 40 healthy controls (HCs). Patients were classified as cognitively impaired (CI) or cognitively preserved (CP).

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Unlabelled: Under common therapeutic regimens, the prognosis of human papillomavirus (HPV)-positive squamous oropharyngeal carcinomas (OPCs) is more favorable than HPV-negative OPCs. However, the prognosis of some tumors is dismal, and validated prognostic factors are missing in clinical practice. The present work aimed to validate the prognostic significance of our published three-cluster model and to compare its prognostic value with those of the 8 edition of the tumor-node-metastasis staging system (TNM8) and published signatures and clustering models.

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Background: Impaired eye movements in multiple sclerosis (MS) are common and could represent a non-invasive and accurate measure of (dys)functioning of interconnected areas within the complex brain network. The aim of this study was to test whether altered saccadic eye movements are related to changes in functional connectivity (FC) in patients with MS.

Methods: Cross-sectional eye movement (pro-saccades and anti-saccades) and magnetoencephalography (MEG) data from the Amsterdam MS cohort were included from 176 MS patients and 33 healthy controls.

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Objectives: The prognostic advantage of human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) resulted in the initiation of treatment de-intensification studies. Two randomized controlled trials (RCTs) reported inferior survival of HPV-positive OPSCC treated with radiotherapy plus cetuximab compared to standard of care radiotherapy plus cisplatin. In this study we investigated whether the important role of cisplatin in the treatment of HPV-positive OPSCCs would also emerge from causal inference analyses of real-world data.

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Background: Suboptimal performance during neuropsychological assessment renders cognitive test results invalid. However, suboptimal performance has rarely been investigated in multiple sclerosis (MS).

Objectives: To investigate potential underlying mechanisms of suboptimal performance in MS.

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Background: Locoregionally advanced head and neck squamous cell carcinoma (HNSCC) patients have high relapse and mortality rates. Imaging-based decision support may improve outcomes by optimising personalised treatment, and support patient risk stratification. We propose a multifactorial prognostic model including radiomics features to improve risk stratification for advanced HNSCC, compared to TNM eighth edition, the gold standard.

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The prognostic impact of human papillomavirus (HPV) in oropharyngeal cancer is generally acknowledged, and HPV-status is assessed routinely in clinical practice. Paradoxically, while the oral cavity seems the predilection site for productive HPV-infections, figures on HPV-attribution in oral cavity squamous cell carcinoma (OCSCC) differ widely, and prognostic impact is uncertain. Major obstacles are the lack of reproducible assays to detect HPV in nonoropharyngeal cancers, the relatively small cohorts studied and consequently the shortfall of convincing data.

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Article Synopsis
  • Cognitive decline in multiple sclerosis (MS) patients is challenging to predict as structural brain damage alone doesn't account for the variability among patients.
  • This study aimed to see if measuring functional brain network organization through magnetoencephalography (MEG) can better predict cognitive decline in MS patients over five years, beyond just looking at physical brain damage.
  • Results showed that a more integrated beta band network and a less integrated delta band network were both linked to cognitive decline, suggesting that these functional brain network measures could serve as valuable predictors for disease progression in MS.
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Background: Despite advances in treatments, 30% to 50% of stage III-IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project aimed to build a database for prognostic prediction modeling.

Methods: Stage III-IV HNSCC patients with locoregionally advanced HNSCC treated with curative intent (1537) were included.

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