Éric Letouzé

This paper develops a workflow for single-nucleus transcriptomics from FFPE tumor samples, showing reproducible cellular composition analysis across six cancer types.

The paper analyzes transcriptomic subtypes in CASSIOPEIA patients to refine the prognostic value of MRD negativity in multiple myeloma, showing varying PFS rates across risk groups.

This study uses single-cell RNA sequencing to analyze metastatic urothelial carcinoma and identifies macrophage-driven resistance to PD-(L)1 blockade as a key mechanism.

This study shows primary cilia in TNBC cells contribute to chemoresistance by supporting EMT-driven heterogeneity and stemness, and inhibiting ciliogenesis reduces this resistance.

This study uses SpliceAI to identify cryptic splice mutations in cancer, finding over 100,000 such mutations across 18,115 tumors and uncovering new candidate driver genes.

MS.liverK is an R package that implements tools for computing molecular subtypes and functional signatures in liver cancer using transcriptome data.