Noémi Kedei

This study establishes patient-derived KS xenografts that maintain KSHV infection and recapitulate KS tumor gene signatures, enabling analysis of tumor microenvironment cell communications.

This study defines the spatial architecture of intrahepatic cholangiocarcinoma using single-cell spatial proteomics and a graph-based deep learning framework to identify multicellular spatial patterns and their association with patient outcomes.

This study identifies a STING-STAT3-SOX18 axis driving EndMT and epigenetic reprogramming in SAVI lung fibrosis, suggesting STING as a therapeutic target.

The paper tracks premalignant lesions in head and neck cancer using intravital microscopy and identifies myeloid cell organization as a predictor of lesion regression or progression.

The paper develops a perfusion circuit system to preserve tumor microenvironments in 3D patient-derived tumor models for up to 48 hours, enabling complex drug interrogations.

This study identifies exhausted-like effector CD8 T cells as key drivers of oral mucosal cGVHD by analyzing single-cell RNA sequencing data from biopsies collected at disease onset.

This study uses deep learning and spatial data to show how tumor architecture and cell states co-evolve, influencing colorectal cancer outcomes.

Liver tumors in mice and patients hold many tumor-specific CD8+ T cells that are exhausted; SPP1+ macrophages and a liver-specific intermediate macrophage population are linked to this dysfunction.

This study identifies NOS2 and COX2 as key spatial targets in ER- breast cancer that influence immune phenotypes and clinical outcomes through spatial analysis of tumor microenvironments.