Lise Mangiante

PATH-IC uses generative AI to predict breast cancer genomic subtypes from histology images, achieving high accuracy and correlating with clinical outcomes.

This study identifies type I interferon signaling as a tumor-intrinsic suppressor of proliferation in 3D breast cancer spheroids through RIG-I-mediated sensing of cytosolic RNA.

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.

The paper identifies UBR5-mediated Rb degradation as a mechanism promoting G1/S transition by reducing Rb levels in early G1.

The paper presents a multi-omic dataset of patient-derived tumor organoids for neuroendocrine neoplasms, including whole-genome and RNA-seq data, and provides analysis tools for re-use.

This paper presents a comprehensive molecular characterization of Malignant Pleural Mesothelioma using multi-omics data from 120 patients, integrating with existing datasets to create an interactive molecular phenotype map.