bioRxivCancer BiologyPreprint
Loss of the Y chromosome drives epigenetic and transcriptomic plasticity in lung adenocarcinoma
Kathleen Schlüter, Mei-Ju May CheniD, Gizem AltuniD, Sergio Manzano-SancheziD, Dung-Chi WuiD, Nan ZhangiD, Ofir GriessiD, Luc Husemann, Fabian BradiciD, Joseph Cornick, Nima Esmaeelpour, Oliver Mücke, Riccardo Moro, Katherine Kelly, Sara ChocarroiD, Etienne SollieriD, Albert Fradera-SolaiD, Claudia ScaleraiD, María José Alonso-De GennaroiD, Siavash MansouriiD, Madeleine DorschiD, Patricia Munteanu, Balázs HegedűsiD, Hauke WinteriD, Laura Valentina KlotziD, , Maria Llamazares PradaiD
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Abstract
Loss of the Y chromosome (LOY) is associated with poor survival across multiple solid tumors, yet the underlying molecular mechanisms remain poorly understood. Here, we identify LOY as a central driver of lineage plasticity and epigenetic heterogeneity in lung adenocarcinoma. Integrating multi-omic profiling of primary samples with isogenic cellular models, we show that LOY triggers epithelial-to-mesenchymal transition (EMT). Mechanistically, LOY causes haploinsufficiency of dosage-sensitive regulators, leading to widespread DNA hypomethylation at EMT gene promoters, including THY1 and LOX. Single-cell multi-omic analyses demonstrate that LOY induces epigenetic heterogeneity, destabilizes the chromatin landscape, and increases lineage plasticity, enabling rapid cellular adaptation to metabolic and genotoxic stress. Moreover, LOY-induced plasticity facilitates tumor engraftment and metastatic dissemination in vivo. These findings establish Y-linked gene dosage as a critical guardian of epigenetic stability, providing a mechanistic rationale for how its loss amplifies phenotypic diversity and lineage plasticity, ultimately driving adverse clinical outcomes in LOY patients.
- organism: human
- assay: DNA methylation
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- research focus: chromatin & epigenetic regulation
- research focus: cell signaling & trafficking
- research focus: cancer & tumor microenvironment
- approach: statistical model
- approach: experimental assay
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