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Role of lncRNA PVT1 in the progression of urological cancers: Novel insights into signaling pathways and clinical opportunities.

Urologic malignancies, encompassing cancers of the kidney, bladder, and prostate, represent approximately 25 % of all cancer cases. Recent advances have enhanced our understanding of PVT1's crucial functions. Long noncoding RNAs influence both the onset and development of cancer, as well as epigenetic alterations. Recent findings have focused on PVT1's mechanism of action across several malignancies, particularly urologic cancers. Understanding the various functions of PVT1 linked to cancer is necessary for the development of cancer detection and treatment when PVT1 is dysregulated. Furthermore, recent advancements in genomic and epigenetic research have elucidated the complex regulatory networks that control PVT1 expression. Comprehending the intricate role of PVT1 Understanding the complex function of PVT1 in urologic cancers has substantial clinical implications. Here, we summarize some of the most recent findings about the carcinogenic effects of PVT1 signaling pathways and the possible treatment strategies for urological malignancies that target these pathways.

Humans

Genetic and chromatin regulation of Pvt1 monoallelic expression.

While most genes are equivalently expressed on both alleles, genes with random monoallelic expression (RME) stably maintain expression from only one allele, but the mechanisms and consequences of RME remain unclear. We performed allele-specific RNA sequencing (RNA-seq) on ∼100 F1 hybrid neural progenitor cell (NPC) clonal lines to reveal the extent of autosomal RME (aRME). Of the 287 aRME genes, Pvt1, an oncogenic long non-coding RNA, is an aRME with a genetic bias. In the absence of genetic differences, Pvt1 undergoes balanced aRME. Pvt1 monoallelic expression is maintained by allele-specific active and repressive histone modifications, opposed to DNA methylation. Additionally, we provide a two-step mechanism for the initiation of aRME and demonstrate that Pvt1 monoallelic expression results in a growth phenotype due to the interplay with Myc. These findings provide insight into how genetic differences can skew a stochastic process, resulting in monoallelic expression with a phenotypic consequence in early development.

Chromatin

Micropeptides encoded by lncRNAs associated with cancer progression reveal novel immunogenic epitopes.

MOTIVATION: Long non-coding RNAs (lncRNAs) regulate gene expression, chromatin organization, and cellular signaling. Recent studies indicate that ∼20% of the ∼36 000 human lncRNA genes harbor small open reading frames (sORFs) capable of producing micropeptides (MPs), whose functions remain largely unknown. Whether these peptides contribute to the cancer immunopeptidome is largely unexplored. RESULTS: We systematically analyzed lncRNAs with strong experimental and computational evidence of MP-encoding potential (∼13% of the initial MP collection). Using The Cancer Genome Atlas (TCGA), we identified 2606 high-confidence lncRNA-derived MPs encoded by 647 genes across 16 cancer types. We then focused on 501 MPs from 124 lncRNA genes whose expression changes significantly across tumor stages and metastatic transitions, representing cancer transitional lncRNAs (Tr-lncRNAs). Dipeptide composition and conservation analyses showed that these MPs differ from a size-matched human coding proteome, supporting their potential as neoantigens. All possible 9-mer peptides were evaluated for predicted binding to prevalent European HLA class I alleles. Approximately 60% of Tr-lncRNA genes and 184 (37%) of derived peptides exhibited strong predicted HLA binding. Peptides from XIST, PCAT7, PVT1, HAND2-AS1 showed broad HLA coverage. Notably, TTN-AS1, encoded an MP (79 aa) generated 33 predicted distinct epitopes spanning all 27 HLA alleles. Our analysis identifies lncRNA-derived MPs as a previously underexplored source of potential cancer neoantigens, highlighting their promise as biomarkers and targets for immunotherapy. AVAILABILITY: Data, code and supplementary materials are available in https://doi.org/10.5281/zenodo.20167452 and GitHub: https://github.com/stavzok1/lncrna_peptide_analysis.

Humans