Jeffrey R. Marks

The paper identifies ECM proteomic signatures associated with disease-free survival in DCIS and IBC, showing reduced collagen peptides correlate with poorer outcomes.

This study shows HGSC transcriptomic subtypes are driven by tumor cellular composition rather than intrinsic biology, with high predictive accuracy using deconvolution methods.

This study estimates tumor mitotic ages in neuroblastoma patients to show aggressive tumors start growing after infancy, making them undetectable by infant screening.

This paper estimates the age of breast cancers using an epigenetic clock based on methylation data, finding that younger tumors are more aggressive while older tumors show higher immune infiltration.

The paper uses genomic profiling to show that some invasive breast cancers are clonally unrelated to their preceding DCIS, suggesting DCIS may act as both a precursor and independent risk factor.

This study uses ResolveOME to analyze genomic and transcriptomic data in individual cells, revealing mutations and gene expression changes linked to drug resistance and oncogenic mechanisms.

This paper develops and validates a new bioinformatic algorithm to accurately identify somatic SNVs from small DNA amounts in FFPE breast cancer samples, showing improved performance over existing methods.