bioRxivCancer BiologyPreprint
Loss of the Y chromosome drives basal identity and metastatic potential via epigenetic reprogramming in pancreatic cancer
Madeleine DorschiD, Felix E.G. BeaudryiD, Anna K. Baginska, Nancy Meyer, Anne Petzold, Peihua ZhaoiD, Belen Otero-Carrasco, Kazeera AliariD, Sebastian Urban, Julia ZummackiD, Jiwon JungiD, Johanna Maria Hölken, Ningjun DuaniD, Laura Godfrey, Mei-Ju May CheniD, Kathleen Schlüter, Katyayni GanesaniD, Florian Over, Thomas Kono, Hans‐Ulrich SchildhausiD, Katja SteigeriD, Roland Schwarz, Elisabeth HeßmanniD, Günter SchneideriD, Jens Thomas SivekeiD, , Barbara M. GrüneriD
Abstract
Loss of the Y chromosome (LOY) has been largely unexplored in pancreatic ductal adenocarcinoma (PDAC), and no mechanistic framework previously explained its role in tumor biology. We identify LOY as a recurrent, functionally consequential alteration affecting ~50% of male PDAC patients across two independent cohorts, with strong enrichment in advanced disease and, critically, in the basal subtype, establishing LOY as a clinically actionable biomarker. Comprehensive genomic profiling positions LOY as a distinct genetic event associated with TP53 mutations, implicating it in aggressive tumor evolution. Integrative analyses across bulk tumors, single-cell datasets and CRISPR-engineered PDAC models converge on epithelial-to-mesenchymal transition (EMT) as the dominant LOY-driven program. Y-chromosome deletion alone induces EMT transcriptional states, mesenchymal morphology and enhanced metastatic ability. Mechanistically, LOY disrupts epigenetic regulation through loss of Y-linked chromatin modifiers, reshaping DNA methylation at EMT- and basal-defining loci and reducing chemotherapy sensitivity. These findings establish LOY as a causal genetic driver of PDAC progression and a clinically accessible biomarker with direct therapeutic relevance.
- organism: human
- assay: bulk RNA-seq
- assay: CRISPR screen
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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