bioRxivCancer BiologyPreprint
CAMOR and specific oncogene-driven lncRNAs mediate carcinogenic functions downstream of MYC, mutant KRAS, and mutant TP53
Maria Grzes, Akanksha JaiswariD, Wojciech KaźmierczakiD, Tomasz OlesińskiiD, Magdalena Nowak-Niezgoda, Dawid WalerychiD
Abstract
Purpose Long non-coding RNAs (lncRNAs) are important regulators of tumor biology, but their dependence on major oncogenic drivers and cancer specificity remain poorly characterized. We aimed to identify lncRNAs regulated by MYC, mutant KRAS, and mutant TP53 across colorectal, lung, and pancreatic cancer and to determine their functional relevance and molecular mechanism. Methods We performed an integrative analysis of lncRNA expression profiles driven by MYC, mutant KRAS, and mutant TP53 across colorectal, lung, and pancreatic cancer cell lines. Candidate lncRNAs were functionally characterized using assays of cancer cell viability, migration, and clonogenicity. Expression in patient-derived tumor and normal tissues and downstream molecular pathways were investigated. Results MYC was associated with the most extensive lncRNA regulation, with expression patterns largely independent of tissue origin. MYC-dependent LINC00997 and the previously uncharacterized AC104447.1, as well as specifically KRAS-dependent RAKRAR (RASSF3 antisense KRAS regulated lncRNA) promoted cancer cell viability, migration, and clonogenicity. LINC00997 and AC104447.1 expression was elevated in specific tumor types compared to normal tissues. We identified CAMOR (CARNMT1 Antisense Multiple-Oncoprotein Regulated lncRNA), a pan-cancer lncRNA upregulated by all three oncogenic drivers. CAMOR promoted viability and migration specifically in cancer cells across analyzed cell lines and tumor types. Mechanistically, CAMOR and neighboring CARNMT1 form a negative feedback regulatory loop affecting CAMOR oncogenic activity. Distinct downstream gene expression signatures suggested that the studied lncRNAs act through different regulatory processes. Conclusion Our findings expand the repertoire of oncogenic lncRNAs and demonstrate that integrating multiple oncogenic contexts enables identification of both driver-specific and broadly acting lncRNAs, providing a framework for identifying lncRNAs that may contribute to cancer development and represent potential diagnostic or therapeutic targets.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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