Publications by authors named "L Ledoux"
In context of cancer diagnosis-based mass spectrometry (MS), the classification model created is crucial. Moreover, exploration of immune cell infiltration in tissues can offer insights within the tumor microenvironment. Here, we present a protocol to analyze 1D and 2D MS data from glioblastoma tissues for cancer diagnosis and immune cells identification.
View Article and Find Full Text PDFGlioblastoma is a highly heterogeneous and infiltrative form of brain cancer associated with a poor outcome and limited therapeutic effectiveness. The extent of the surgery is related to survival. Reaching an accurate diagnosis and prognosis assessment by the time of the initial surgery is therefore paramount in the management of glioblastoma.
View Article and Find Full Text PDFArticle Synopsis
- Intratumoral bacteria, specifically Colibactin-producing (CoPEC) strains, are linked to tumor heterogeneity and cancer recurrence by creating a low-immunity environment in right-sided colorectal tumors.
- These bacteria foster lipid accumulation in cancer cells, which helps them survive and resist chemotherapy, correlating with worse survival rates in advanced-stage colorectal cancer patients.
- Targeting the metabolic changes induced by CoPEC with specific inhibitors has shown potential in restoring chemotherapy sensitivity, suggesting a new approach to improve treatment outcomes for patients colonized by these bacteria.
Article Synopsis
- This study compares water-assisted laser desorption ionization (WALDI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging, with MALDI as the benchmark for analyzing lipids in biological samples.
- The results show that both techniques produce similar lipidomic profiles, particularly highlighting a 100% similarity in detected peaks for norharmane in negative ion mode between the two methods across multiple samples.
- While MALDI generally has a slightly higher percentage of detected peaks compared to WALDI, both approaches demonstrate a high degree of consistency, allowing researchers to combine data from both techniques for better analysis in biomedical research.
Objective: We aim to validate four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) peak velocity tracking methods for measuring the peak velocity of mitral inflow against Doppler echocardiography.
Method: Fifty patients were recruited who had 4D flow CMR and Doppler Echocardiography. After transvalvular flow segmentation using established valve tracking methods, peak velocity was automatically derived using three-dimensional streamlines of transvalvular flow.