Beth Y. Karlan

Spatially resolved transcriptional programs link fallopian tube precursor lesions to immune activation and stromal reorganization

This study uses spatial transcriptomics to analyze fallopian tube lesions and identifies immune and stromal changes associated with early ovarian cancer development.

Deformability screening identifies NUDT5 as a mediator of cellular mechanobiology

The paper screens compounds to identify mechanical mediators by measuring cell deformability, finding NUDT5 as a key mediator in ovarian cancer.

Genome-wide classification of tumor-derived reads from bulk long-read sequencing

ROCIT classifies tumor or non-tumor origin of reads from bulk long-read sequencing with high accuracy, improving somatic variant calling in tumors.

The mutational landscape defines the proteome and spatial organization of tumor, stroma and immune cells in ovarian cancer

This study profiles the proteome of ovarian cancer tumors before and after chemotherapy, revealing how HRD status affects immune pathways and identifies potential therapeutic targets.

Replication stress marker phospho-RPA2 predicts response to platinum and PARP inhibitors in homologous recombination-proficient ovarian cancer

This study identifies phospho-RPA2 as a biomarker predicting response to platinum and PARP inhibitors in HR-proficient ovarian cancer, showing higher pathologic complete response and longer survival in pRPA2-High tumors.

The mutational and clonality profile of HGSOC is established early in tumor development and conserved throughout therapy resistance

This study shows that mutational and clonality profiles in HGSOC are established early and remain stable through therapy resistance.

Exome sequencing identifies HELB as a novel susceptibility gene for non-mucinous, non-high-grade-serous epithelial ovarian cancer

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.

Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk

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.

Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies new candidate susceptibility genes for breast and ovarian cancer

This study improves transcriptome-wide association studies by integrating pleiotropy-guided methods with GWAS data to identify new cancer susceptibility genes.

Single-cell Transcriptomics Identifies Gene Expression Networks Driving Differentiation and Tumorigenesis in the Human Fallopian Tube

This study uses single-cell transcriptomics to identify gene expression networks in the human fallopian tube, revealing epithelial subtypes and their role in cancer progression.

DNA methylation landscapes of matched primary and recurrent high grade serous ovarian cancers are preserved throughout disease progression and chemoresistance.

This study shows that DNA methylation and gene expression patterns are preserved in recurrent high grade serous ovarian cancers, with BRCA1/2 carriers showing more shared methylation changes and improved survival.

Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations

This study combines genome-wide association data from four cancers to identify shared and novel genetic associations and pleiotropic effects.

Population based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high grade serous ovarian cancer

Multi-Tissue Transcriptome-Wide Association Studies Identify 21 Novel Candidate Susceptibility Genes for High Grade Serous Epithelial Ovarian Cancer

This study identifies 21 novel candidate susceptibility genes for high grade serous ovarian cancer using transcriptome-wide association analysis across multiple tissue types.

Integrated Molecular Profiling Studies to Characterize the Cellular Origins of High-Grade Serous Ovarian Cancer

The paper uses transcriptomic and epigenomic profiling to show that high-grade serous ovarian cancers predominantly originate from fallopian tube secretory epithelial cells, with distinct transcription factors driving tumorigenesis based on cell-of-origin.