Publications by authors named "M Classe"
Novel individual biomarkers are needed to guide therapeutic decisions for patients with head and neck cancer. We report for the first time, granulomas of TREM2-expressing multinucleated giant macrophages in keratin-rich tumor niches, as a biomarker of favorable prognosis and developed a deep-learning model to automate its quantification on routinely stained pathological slides.
View Article and Find Full Text PDFMotivation: Spatial transcriptomics allow to quantify mRNA expression within the spatial context. Nonetheless, in-depth analysis of spatial transcriptomics data remains challenging and difficult to scale due to the number of methods and libraries required for that purpose.
Results: Here we present SpatialOne, an end-to-end pipeline designed to simplify the analysis of 10x Visium data by combining multiple state-of-the-art computational methods to segment, deconvolve, and quantify spatial information; this approach streamlines the analysis of reproducible spatial-data at scale.
Background: France has the sixth highest incidence of oropharyngeal cancer (OPC) in Europe, but the epidemiological impact of high-risk HPV (HR-HPV) remains poorly documented. The objective of our study was to assess the proportion of OPCs caused by HR-HPV in Paris, and its suburbs, over the four past decades. This area accounts for almost one-fifth of the total population of France.
View Article and Find Full Text PDFBackground: Rare cancers constitute less than 10% of head and neck cancers and lack sufficient evidence for standardized care. The French Rare Head and Neck Cancer Expert Network (REFCOR) as established a national database to collect data on these rare cancers. This study aims to describe patient and tumour characteristics in this database.
View Article and Find Full Text PDFArticle Synopsis
- Recent clinical trials of new immune checkpoint protein-targeted antibodies failed to show significant results, primarily because patients weren't screened for target expression prior to treatment.* -
- The study utilized advanced methods like flow cytometry and single-cell RNA sequencing to analyze immune checkpoint expression on T-cells from various primary tumors, revealing extensive variability among patients.* -
- Results indicated that while CD4FoxP3 T-cells co-expressed both stimulatory and inhibitory checkpoints, the expression levels in CD8 T-cells were generally lower, suggesting a need for better-targeted therapies in future cancer immunotherapy trials.*