p53 knockout drives stage-specific long non-coding RNA reprogramming during human neural differentiation and glioma organoid tumorigenesis.
Fabio StasiiD, Alireza Rajabzadeh Manzari, Velia SicilianoiD, Elena BindaiD, Valerio PazienzaiD, Virgilio BrunettiiD, Massimo De VittorioiD
Abstract
Background: Long non-coding RNAs (lncRNAs) are emerging regulators of tumor initiation and progression through their effects on stemness, lineage commitment, and transcriptional plasticity. The contribution of lncRNA reprogramming during early p53-deficient gliomagenesis remains poorly understood. Methods: Human induced pluripotent stem cells (iPSCs) carrying a complete TP53 knockout were differentiated into neural progenitor cells (NPCs) and cerebral organoids. Bulk RNA sequencing was performed at multiple differentiation stages and compared with established glioblastoma cell lines (U87 and U118) to identify lncRNA expression changes associated with p53 loss and tumor-like transformation. Results: p53 deficiency induced a progressive and stage-specific remodeling of the lncRNA landscape, with the most pronounced transcriptional shift observed in 40-day NPCs. This late-stage profile partially overlapped with glioblastoma-like cell lines and was characterized by the upregulation of five lncRNAs enriched in both p53-deficient neural models and glioma cells. Principal component analysis showed that these lncRNAs clustered with tumor-associated samples and were strongly co-expressed with mitotic cell-cycle genes. In particular, LINC00973 and LINC01583 were highly expressed in primary glioblastoma datasets, while RP5-875H18.9 and RP11-1094H24.4 emerged as previously unrecognized glioma-associated transcripts. Conclusion: Loss of p53 drives stage-dependent lncRNA reprogramming during neural differentiation and promotes the emergence of glioma-associated transcriptional features. These findings identify candidate lncRNAs that may contribute to early gliomagenesis and represent potential biomarkers or therapeutic targets in glioblastoma.
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