F. D. Ciccarelli

The paper investigates how CDKN2A and other 9p21 gene losses influence oesophageal cancer progression, finding context-dependent effects on survival and immune infiltration.

The paper identifies DN2 B cells in human GALT that interact with DC expressing DNASE1L3 and C1Q, linking microbiota, immunity, and autoimmunity.

The paper identifies 477 TIME drivers across 32 cancer types, showing their role in cancer evolution and predicting immunotherapy response, with a focus on HNSC.

The paper assesses genes driving cancer and somatic evolution, revealing gaps in driver gene compendiums and identifying conserved genes that promote clonal expansion without malignancy.

This study identifies immunogenomic features predicting response to immune checkpoint blockade in colorectal cancer, showing that high clonality and immune escape mechanisms are more important than mutational burden.

This paper introduces sysSVM2, a machine learning tool to predict driver genes in individual cancer patients, showing it has low false positives and identifies known cancer pathways.

The paper shows that O-linked glycosylation differences in breast cancer cells lead to distinct gene expression signatures via differential EGFR nuclear translocation.

The paper curates a comprehensive list of 2,372 cancer-related genes from 275 publications, including sequencing screens of 119 cancer types, and provides annotations on their properties.