Deciphering OCT4A-dose-dependent transcriptional profiles associated with tumorigenic potential in somatic cancer cells

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AIMS: The transcription factor OCT4A, a well-established master pluripotency factor, exerts regulatory effects on cell fate determination that are closely associated with its protein levels. This study aims to uncover the downstream gene profile features relevant to tumorigenic potential mediated by OCT4A under varying protein abundance in somatic cancer cells (SCCs). MATERIALS AND METHODS: CRISPR-Cas9-mediated knockout and doxycycline-inducible OCT4A expression systems were established in cervical (HeLa) and hepatocellular (HepG2, Huh7) cancer cells. Single-cell sequencing, spatial transcriptomic and survival analysis data were used to elucidate the expression pattern of OCT4 in somatic cancer tissues and its prognostic relevance. The plate colony formation assay was performed to assess the tumorigenic capacity of SCCs, and Bulk RNA sequencing coupled with weighted gene co-expression network analysis (WGCNA) identified dose-relevant downstream pathways. Functional enrichment, survival modeling, and RT-qPCR validation were used to construct OCT4A-dose-dependent transcriptional regulatory networks. KEY FINDINGS: OCT4 transcript, is heterogeneously present and confined to a small subset of tumor cells within somatic cancer tissues, with a significantly higher proportion of OCT4-positive cells in tumor tissues compared to paired paraneoplastic tissues and is significantly correlated with poor prognosis in SCCs. Endogenous low-level OCT4A positively regulates tumorigenic capacity predominantly through targeting non-coding genes, whereas high-level OCT4A suppresses tumorigenic capacity primarily via protein-coding genes in SCCs. A prognostic model based on high-level OCT4A-regulated protein-coding genes was associated with favorable clinical outcomes, aligning with in vitro phenotypic results. SIGNIFICANCE: Our findings further confirm in SCCs that the functional pleiotropy of OCT4A is closely linked to its protein abundance, and further systematically elucidate the molecular signatures of OCT4A-regulated downstream gene networks associated with tumorigenic phenotypes at differential protein levels, providing novel insights for its translational exploitation in both oncological intervention and regenerative medicine strategies.

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