معرفی
Martine Lamfers is an Associate Professor in the Department of Neurosurgery at Erasmus MC, a leading university medical center in the Netherlands. Her research is centered on advancing therapies for malignant brain tumors, particularly glioblastoma, through innovative approaches in oncolytic virotherapy, drug repurposing, and gene editing. She is actively involved in translational neuroscience and cancer immunology, contributing to both preclinical and clinical advancements in neuro-oncology.
Her research interests span a wide range of topics in neuro-oncology and molecular therapeutics. Dr. Lamfers focuses on glioblastoma biology, oncolytic virus therapy, immune modulation in the tumor microenvironment, and strategies to overcome therapy resistance. She also explores CRISPR-based gene editing to target oncogenic mutations like IDH1R132H, and develops computational models to predict drug responses. Her work integrates wet-lab experimentation with bioinformatics and clinical data analysis.
The recent articles highlight a strong trend toward translational and interdisciplinary research, combining virology, immunology, pharmacology, and artificial intelligence. There is a consistent focus on improving treatment efficacy for glioblastoma by addressing challenges such as immune suppression, blood-brain barrier penetration, and tumor heterogeneity. Collaborative efforts are evident across multiple institutions and disciplines.
Dr. Lamfers has supervised at least 8 research projects, indicating an active role in mentoring students and junior researchers. While no specific grants are mentioned in the provided text, her publication output suggests involvement in funded research programs. She is part of a robust research network with national and international collaborations, particularly in the field of oncolytic virotherapy and neuro-oncology.
She leads or participates in a research team focused on brain tumor therapeutics, likely within a dedicated neuro-oncology or virotherapy lab at Erasmus MC. The team engages in both experimental and computational research, aiming to bridge the gap between basic science and clinical application in neuro-oncology.
