Long Non-Coding RNA-Based Functional Prediction Reveals Novel Targets in Notch-Upregulated Ovarian Cancer

Overview

Journal Cancers (Basel)

Publisher MDPI

Specialty Oncology

Date 2022 Mar 25

PMID 35326706

Authors

Seonhyang Jeong

Sunmi Park

Young Suk Jo

Moon Jung Choi

Gibbeum Lee

Seul Gi Lee

Min Chul Choi

Hyun Park

Won Duk Joo

Sang Geun Jung

Jandee Lee

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

NONHSAT098487.2 protects cardiomyocytes from oxidative stress injury by regulating the Notch pathway.

Feng G, Zhang H, Guo Q, Shen X, Wang S, Guo Y Heliyon. 2023; 9(6):e17388.

PMID: 37408899 PMC: 10319237. DOI: 10.1016/j.heliyon.2023.e17388.

Comparative analysis between highgrade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing.

Zhang X, Hong S, Yu C, Shen X, Sun F, Yang J Front Oncol. 2023; 13:1148628.

PMID: 37124501 PMC: 10140397. DOI: 10.3389/fonc.2023.1148628.

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