Publications by authors named "D A Ziegler"
Purpose: Neoadjuvant radiochemotherapy (NARCT) is an established standard of care in various tumor entities, promoting high response rates at commonly lower toxicities as compared to adjuvant approaches. This retrospective analysis was designed to investigate NARCT in early-stage high-risk cervical cancer.
Methods: Forty patients with early-stage high-risk cervical cancer (i.
The aim of this work was to describe the DNA methylation signature and to identify genes associated with neuropathic pain in type 2 diabetes mellitus. We analyzed two independent diabetic neuropathy cohorts: PROPGER consisting of 72 painful and 67 painless patients recruited at the German Diabetes Center in Düsseldorf (DE), and PROPENG comprising 27 painful and 65 painless diabetic neuropathy patients recruited at the University of Manchester (UK). Genome-wide methylation data was generated using Illumina Infinium Methylation EPIC v1.
View Article and Find Full Text PDFBackground: Esophageal cancer has a poor prognosis despite treatment advancements. Although the benefit of neoadjuvant chemoradiotherapy (CRT) followed by adjuvant immunotherapy is evident, the effects of CRT on PD-L1 expression in esophageal cancer are not well understood. This study examines the impact of neoadjuvant CRT on PD-L1 surface expression in esophageal cancer both and considering its implications for immunotherapy.
View Article and Find Full Text PDFBackground: Due to their anatomical locations, optic pathway gliomas (OPGs) can rarely be cured by resection. Given the importance of preserving visual function, we analyzed radiological and visual acuity (VA) outcomes for the type II RAF inhibitor tovorafenib in the OPG subgroup of the phase 2 FIREFLY-1 trial.
Methods: FIREFLY-1 investigated the efficacy (arm 1, n=77), safety, and tolerability (arms 1/2) of tovorafenib (420 mg/m2 once weekly; 600 mg maximum) in patients with BRAF-altered relapsed/refractory pediatric low-grade glioma (pLGG).
Article Synopsis
- Distal sensorimotor polyneuropathy (DSPN) is a prevalent neurological condition affecting older adults and those with obesity or diabetes, leading to significant health issues.
- The Interpretable Multimodal Machine Learning (IMML) framework was used to predict the prevalence and incidence of DSPN by analyzing a diverse set of data from over 1,000 participants, including clinical, genomic, and metabolomic information.
- Results showed that while clinical data alone could differentiate DSPN cases, combining it with additional molecular data improved prediction accuracy and identified potential biomarkers related to inflammation and fatty acid metabolism, offering new insights for treatment and prevention strategies.