Gregory Riedlinger

The paper analyzes spatial transcriptomics data to reveal distinct clonal dynamics and microenvironment interactions in rare bladder cancer variants compared to urothelial carcinoma.

The paper identifies microbiome markers in primary colorectal cancer tumors that predict distant metastasis risk using cohort data and molecular techniques.

This study examines epigenetic, microbiome, and immune differences in early-onset colorectal cancer (EOCRC) compared to average-onset CRC, finding accelerated epigenetic aging and stronger immune-microbe correlations in EOCRC.

The paper analyzes complex genomic rearrangements in lung cancers using optical mapping to uncover their evolutionary patterns and mechanisms.

The paper introduces MEGA, a tool to identify cancer-associated microbes using RNA-seq data from the ORIEN dataset, leveraging graph attention networks and microbial community information.

This paper reports the genomic profile of lymphatic malformations, identifies PIK3CA and NRAS mutations, and shows a response to the PI3K inhibitor alpelisib in a personalized trial.

All-FIT estimates tumor purity from high-depth sequencing data by analyzing allele frequencies, outperforming existing methods in simulated and clinical data.