Long Non-Coding RNA-Based Functional Prediction Reveals Novel Targets in Notch-Upregulated Ovarian Cancer.
Seonhyang JeongSunmi ParkYoung Suk JoMoon Jung ChoiGibbeum LeeSeul Gi LeeMin Chul ChoiHyun ParkWon Duk JooSang Geun JungJandee LeePublished in: Cancers (2022)
Notch signaling is a druggable target in high-grade serous ovarian cancers; however, its complexity is not clearly understood. Recent revelations of the biological roles of lncRNAs have led to an increased interest in the oncogenic action of lncRNAs in various cancers. In this study, we performed in silico analyses using The Cancer Genome Atlas data to discover novel Notch-related lncRNAs and validated our transcriptome data via NOTCH1/3 silencing in serous ovarian cancer cells. The expression of novel Notch-related lncRNAs was down-regulated by a Notch inhibitor and was upregulated in high-grade serous ovarian cancers, compared to benign or borderline ovarian tumors. Functionally, Notch-related lncRNAs were tightly linked to Notch-related changes in diverse gene expressions. Notably, genes related to DNA repair and spermatogenesis showed specific correlations with Notch-related lncRNAs. Master transcription factors, including EGR1, CTCF, GABPα, and E2F4 might orchestrate the upregulation of Notch-related lncRNAs, along with the associated genes. The discovery of Notch-related lncRNAs significantly contributes to our understanding of the complex crosstalk of Notch signaling with other oncogenic pathways at the transcriptional level.
Keyphrases
- high grade
- cell proliferation
- genome wide identification
- long non coding rna
- transcription factor
- dna repair
- poor prognosis
- genome wide
- squamous cell carcinoma
- network analysis
- low grade
- small molecule
- dna damage
- single cell
- deep learning
- rna seq
- young adults
- lymph node metastasis
- high throughput
- big data
- drug induced
- data analysis
- papillary thyroid
- dna binding
- binding protein