bioRxivCancer BiologyPreprint
Cellular stemness identifies high-risk ductal carcinoma in situ and offers a therapeutic interception opportunity
Emily Schueddig, Veena KochatiD, Emre ArslaniD, Y. Dallas, P. Yang, William Pedron, Z G LiiD, Reagan Henry, Jerome LiniD, Mahinur MattohtiiD, Rashna MadaniD, Timothy A. FieldsiD, S. Golem, S. A. Khan, Jamie Lynn Wagner, Kelsey E. LarsoniD, Christa BalanoffiD, Allison M. AripoliiD, Ashley I. HuppeiD, Onalisa D. WinbladiD, Jessica PetersoniD, Molly Hill, Camron Smith, Elizabeth J. JeffersiD, Lyndsey J. KilgoreiD, , Fariba BehbodiD
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Abstract
Ductal carcinoma in situ (DCIS) exhibits substantial heterogeneity in its risk of progression to invasive breast cancer, yet the cellular and molecular determinants of high-risk lesions remain incompletely defined. Using spatially resolved single-cell transcriptomic and epigenomic profiling of 43 patient-derived DCIS and DCIS/invasive ductal carcinoma (IDC) samples, we delineate cellular programs, spatial organization, and epigenetic regulatory mechanisms associated with invasive potential. We identify an epithelial population with stemness features within luminal hormone-responsive (LumHR) cells that progressively expands from benign tissue to DCIS and IDC, and is strongly associated with invasive progression and recurrence-linked transcriptional programs. Spatial mapping reveals discrete DCIS niches enriched for stem-like LumHR cells, characterized by elevated CEACAM6 expression and enhanced ligand-receptor interactions, including CEACAM6-EGFR signaling between epithelial and stromal compartments, including cancer-associated fibroblasts, macrophages (APOC1-positive) and perivascular cells. These niches define a microenvironmental context that supports stemness and invasive potential. Epigenomic analyses implicate FOXA1 as a key regulator of these stem-like transcriptional states. Pharmacologic disruption of FOXA1-regulatory network using LSD1 inhibition suppresses stemness-associated transcriptional programs in vitro and significantly restrains tumor growth in vivo. Collectively, these findings define high-risk DCIS as a stemness-driven disease embedded within specialized microenvironments, and identify associated regulatory networks as candidate biomarkers and therapeutic vulnerabilities.
- organism: human
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
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