James D. Brenton

The paper identifies genomically unstable secretory cells in fallopian tubes of BRCA1/2 carriers using single-cell transcriptomics, linking them to replication stress and early cancer transformation.

This study uses whole genome sequencing of endometrial cancers to identify novel subgroups, drivers, and actionable alterations, improving precision medicine approaches.

scUnique measures ongoing chromosomal instability from single-cell whole genome sequencing data by identifying recent copy number aberrations in phylogenetic trees.

This paper identifies a chromosomal instability (CIN) biomarker that predicts response to PORCN inhibitors in cancers, validated through in vitro models, cell lines, and patient data.

The paper uses single cell mass cytometry to identify protein modules associated with carboplatin resistance and sensitivity in ovarian cancer models.

This study identifies a p53 mutation-specific immunotherapy strategy for ovarian cancer by targeting AREG and PD-L1, showing efficacy in mouse models and patient-derived organoids.

This study uses exome sequencing to identify HELB as a novel susceptibility gene for non-high grade serous epithelial ovarian cancer, with a strong association found in genetic analyses.

The paper generates and characterizes three new HGSOC cell lines that retain genomic and pathologic features of their parental tumors, providing models for studying chemoresistance.

This study identifies seven novel genetic loci associated with high-grade serous ovarian cancer risk using a large-scale GWAS and develops polygenic scores for improved risk prediction.

scAbsolute measures single-cell ploidy and replication status using single-cell DNA sequencing without prior knowledge of cell cycle phase.

This study identifies and integrates three genome-wide features of cfDNA fragmentation to enhance ctDNA detection in ovarian cancer patients.

The paper evaluates tools for estimating absolute copy numbers from shallow whole genome sequencing data and introduces an improved tool called Rascal.

FrenchFISH improves DNA copy number quantification from FISH images by using Poisson models, outperforming manual and automated methods in ovarian cancer tissue sections.

This study develops CT-based texture analysis to quantify intra- and inter-site tumor heterogeneity in HGSOC and shows it correlates with progression-free survival.

This study quantifies genetic correlations between six solid cancers and other diseases using GWAS data, finding shared heritability and functional enrichment in regulatory regions.

The paper shows that selecting short DNA fragments in plasma improves the detection of circulating tumour DNA by enriching mutated DNA, enabling identification of copy number alterations previously undetected.