bioRxivCancer BiologyPreprint
NEURO-IMMUNE CRYPT-ASSOCIATED CELLS AND REST-MEDIATED REPROGRAMMING: PATHOGEN-DRIVEN STROMAL ACTIVATION, HERVS INDUCTION, AND ABORTIVE ANTIVIRAL SIGNALING IN COLORECTAL CARCINOMA
David Díaz-CarballoiD, Adrien Noa-BolañoiD, Udo Udo RahneriD, Ali Haydar AcikelliiD, Sahitya SakaiD, Jacqueline KleiniD, Flevy D’SouzaiD, Sascha MalakiD, Anne HöppneriD, Annabelle KamitziD, Carla CasulaiD, Lalitha KamadaiD, Andrea TannapfeliD, Jens ChristmanniD, Sarah AlbusiD, Enrico FruthiD, Daniela Gerovska DiD, Marcos Jesus Araúzo-BravoiD, M. SenkaliD, Crista OchsenfarthiD, Sven P. BerresiD, Julian UszkoreitiD, Dirk StrumbergiD
Abstract
Colorectal cancer (CRC) pathogenesis remains linked to poorly defined cellular origins and microenvironmental drivers. We identify Neuro-Immune Crypt-Associated (NICA) cells as a privileged pathogen portal and a plausible epithelial cell of origin. During carcinogenesis, the repressor REST drives a neuroendocrine-to-epithelial transition by silencing NICA-associated neuroendocrine markers, a lineage loss reversible via epigenetic modulation or genetic ablation in CRC models. This landscape is further shaped by EBV-infected B-lineage cells (BLEICS), which transactivate HERV-H/F elements in CRC cells through paracrine signaling, establishing a niche-restricted viral scar. While tumor crypts sense this retroviral pressure, they exhibit an abortive antiviral signature marked by RNase L downregulation, creating a functional execution gap. We propose a pathogen-first model where chronic inflammatory pressure triggers mutation-silencing -the simultaneous genotoxic and epigenetic inactivation of tumor suppressors. Together, the convergence of NICA plasticity, BLEICS-mediated HERV induction, and compromised antiviral surveillance redefines CRC as a pathogen-driven disruption of the neuro-immune niche.
- organism: human
- assay: bulk RNA-seq
- research focus: cancer & tumor microenvironment
- research focus: chromatin & epigenetic regulation
- research focus: host-pathogen & immune response
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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