Publications by authors named "R Biemans"
Background: Lung cancer is the most lethal cancer, and 85% of cases are classified as non-small cell lung cancer (NSCLC). Metabolic rewiring is a cancer hallmark that causes treatment resistance, and lacks insights into serine/glycine pathway adaptations upon radiotherapy.
Methods: We analyzed radiotherapy responses using mass-spectrometry-based metabolomics in NSCLC patient's plasma and cell lines.
Background And Purpose: Lung cancers are highly resistant to radiotherapy, necessitating the use of high doses, which leads to radiation toxicities such as radiation pneumonitis and fibrosis. Caffeic Acid Phenethyl Ester (CAPE) has been suggested to have anti-proliferative and pro-apoptotic effects in tumour cells, while radioprotective anti-inflammatory and anti-oxidant effects in the normal tissue. We investigated the radiosensitizing and radioprotective effects of CAPE in lung cancer cell lines and normal tissue in vitro and ex vivo, respectively.
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- A new deep-learning approach has been developed for accurate 3D bioluminescence tomography (BLT) targeting of glioblastoma (GBM), aiming to improve real-time treatment planning and reduce x-ray imaging doses.
- This method, validated with Monte Carlo simulations and tested on real rat models, achieves sub-millimeter targeting accuracy and high tumor encapsulation rates, demonstrating significant potential in preclinical cancer research.
- By combining flexibility, accuracy, and speed, the proposed solution enhances BLT-based tumor targeting, outperforming traditional treatment planning methods while maintaining safety and efficacy.
Patients with peritoneal metastases (PM) of colorectal cancer have a very poor outcome. Intraperitoneal delivery of chemotherapy is the preferred route for PM treatment. The main limitation of the treatment options is the short residence time of the cytostatic, with subsequent short exposure of the cancer cells.
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