Integrative multi-omic profiling of triple-negative breast cancer for identifying suitable therapies.

Bojana Jovanovic Sarah E Church Kara M Gorman Khrystyna North Edward T Richardson Molly DiLullo Victoria Attaya Julie Kasparian Ayesha Mohammed-Abreu Gregory Kirkner Melissa E Hughes Nancy U Lin Elizabeth A Mittendorf Stuart J Schnitt Sara M Tolaney Shom Goel

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)

Our study contributes new insights into biomarker utility for identifying suitable TNBC therapies and the intercorrelations between genomic, transcriptomic, protein, and cellular biomarkers. Additionally, our rich data resource can be used by other researchers to explore the interplay between DNA, RNA, and protein biomarkers in TNBC.

Keyphrases

single cell
protein protein
amino acid
binding protein
single molecule
cell free
copy number
rna seq
big data
machine learning
gene expression
genome wide