Abstract 5754: Determining the regulatory logic of breast cancer cells using single-cell multi-omics

Abstract Cancer cells rewire regulatory elements scattered throughout the genome (such as enhancers) to drive aberrant gene expression. Thus, deconvoluting the regulatory mechanisms that contribute to oncogenic gene expression in cancer cells is key to understanding tumor biology. To this end, we have charted the transcriptional and epigenetic landscape of breast cancer at single-cell resolution to quantitatively link variation in chromatin accessibility to gene expression across malignant and non-malignant cell types. Our comprehensive dataset profiles the chromatin landscape (scATAC-seq) in concert with the transcriptional profiles (scRNA-seq) of 4 breast cancer cell lines, 12 primary breast tumors, and 4 normal mammary reduction tissue specimens collected and processed immediately after surgical resection. This dataset, encompassing over 250,000 individual cells, allowed us to define the regulatory logic of cancer cells by 1) revealing how the epigenome underlies cellular heterogeneity of these tumors in comparison to normal mammary tissue, 2) defining how malignant cells hijack enhancer elements to drive key transcriptional programs in a subtype-specific manner, and 3) annotating which cancer-specific enhancer-to-gene connections portend a worse outcome in patients. Notably, we discovered that cancer cells acquire de novo non-coding enhancer elements to modulate hallmark cancer pathways that were previously hidden using bulk genomics approaches. This highlights the potential for cancer-specific enhancers to serve as markers with diagnostic and prognostic potential, or even serve as tractable targets for therapeutic intervention. Together these data enable the annotation of the cellular composition, transcriptional, and epigenetic landscape of breast tumors to help pinpoint clinically relevant mechanisms of tumorigenesis. Citation Format: Matthew J. Regner, Aatish Thennavan, Susana Garcia-Recio, Kamila Wisniewska, Philip M. Spanheimer, Joel S. Parker, Charles M. Perou, Hector L. Franco. Determining the regulatory logic of breast cancer cells using single-cell multi-omics. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5754.