Publications by authors named "A P Dicker"
Purpose: Radiotherapy (RT)/cetuximab (C) demonstrated superiority over RT alone for locally advanced squamous head and neck cancer. We tested this in completely resected, intermediate-risk cancer.
Methods: Patients had squamous cell carcinoma of the head and neck (SCCHN) of the oral cavity, oropharynx, or larynx, with one or more risk factors warranting postoperative RT.
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.
Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).
Article Synopsis
- - The study explores the role of different bacteria in chronic airway disease (CAD), focusing on how they might influence inflammation in the lungs, particularly looking for anti-inflammatory species.
- - Using microbiome samples and inflammatory data from patients with CAD, researchers found that the genus Aggregatibacter was more common in patients with lower inflammation levels, linked to reduced inflammatory markers IL-8 and IL-1β.
- - Laboratory tests indicate that Aggregatibacter species have the potential to reduce inflammation in lung cells without harming their viability, suggesting a possible therapeutic role for these bacteria in managing CAD symptoms.
Article Synopsis
- Glioblastoma (GBM) is an aggressive brain tumor that often infiltrates beyond its visible boundaries, making treatment challenging with standard surgical and chemoradiotherapy approaches.
- A new method was developed that combines expert insights and data augmentation to improve predictions of tumor infiltration using preoperative magnetic resonance imaging (mpMRI) scans from 229 patients.
- The model was validated through cross-institutional tests, showing varying effectiveness in predicting tumor recurrence, with odds ratios indicating strong potential for guiding targeted treatment strategies.