Cancer driver topologically associated domains identify oncogenic and tumor-suppressive lncRNAs.
Ontology highlight
ABSTRACT: Cancer long noncoding RNAs (lncRNAs) have been identified by experimental and in silico methods. However, current approaches for identifying cancer lncRNAs are not sufficient and effective. To uncover them, we focus on the core cancer driver lncRNAs, which directly interact with cancer driver protein-coding genes (PCGs). We investigate various aspects of cancer lncRNAs, including their expression patterns, genomic locations, and direct interactions with cancer driver PCGs, and developed a pipeline to identify candidate cancer driver lncRNAs. Finally, we validate the reliability of potential cancer driver lncRNAs through functional analysis of bioinformatics data and CRISPR-Cas9 knockout experiments. We find that cancer lncRNAs are more concentrated in cancer driver topologically associated
SUBMITTER: Rao Z
PROVIDER: S-EPMC12315868 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature
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