Rémy Nicolle

The paper identifies distinct progression paths in pancreatic papillary cystic neoplasms using integrated transcriptomics and histology, enabling phenotype-specific prediction of high-grade dysplasia.

This paper develops a self-supervised learning model to predict iCCA transcriptomic classes from histological images, achieving good to very good performance in multiple validation sets.

The paper develops a 16-gene signature (MG-GEM) that predicts survival benefit from adjuvant gemcitabine in resectable pancreatic cancer based on glycation stress, outperforming existing signatures.

This study shows that loss of HNF1B contributes to IPMN initiation and identifies its role as a tumor suppressor in pancreatic ductal cells.

This study identifies a DNA methylation signature preserved during pancreatic carcinogenesis that distinguishes PDAC origins and influences tumor behavior.

The paper develops an immunohistochemical panel to assess intra- and inter-tumoral heterogeneity in PDAC, identifying four distinct phenotypes with clinical implications.

This study shows that combining FOLFIRINOX with stereotactic body radiotherapy remodels pancreatic ductal adenocarcinoma, improving stromal and metabolic features and prognosis.

This study shows that neutrophil-derived complement factor P induces apoptosis in basal-like pancreatic cancer cells via caspase 3/7 activation, linking properdin expression to better prognosis.

DECONbench benchmarks deconvolution methods for quantifying tumor cell-type heterogeneity by providing datasets, tools, and performance evaluation.

SMAP improves sequencing analysis of xenografts by accurately mapping reads to both host and graft genomes and enhancing fusion transcript detection.