Journal of International Oncology ›› 2025, Vol. 52 ›› Issue (11): 708-713.doi: 10.3760/cma.j.cn371439-20250523-00121

• Review • Previous Articles     Next Articles

Research progress of long non-coding RNA DLEU1 in malignant tumors

Sun Mingzhu, Liu Yanquan, Sun Lei, Tang Huanwen()   

  1. School of Public Health, Guangdong Medical University, Department of Hematology, First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan 523808, China
  • Received:2025-05-23 Revised:2025-09-13 Online:2025-11-08 Published:2025-12-21
  • Contact: Tang Huanwen E-mail:thw@gdmu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(82073582);National Natural Science Foundation of China(82103876);Natural Science Foundation of Guangdong Province of China(2023A1515140169);Guangdong Provincial University Key Platform Featured Innovation Project(2020KTSCX048)

Abstract:

Long non-coding RNA DLEU1 has emerged as a novel key molecule in pan-cancer research, potentially playing a critical role in regulating the occurrence and progression of malignant tumors. Although studies on DLEU1 remain limited, recent researches have confirmed its aberrant expression in various malignancies. DLEU1 can regulate the malignant phenotype of tumor cells through competitive endogenous RNA mechanisms, epigenetic regulation, and transcriptional feedback loops, including proliferation, migration, invasion, and chemoresistance, which are closely associated with poor prognosis. Additionally, its enrichment in exosomes suggests its potential as a diagnostic biomarker. Systematic analysis and exploration of the expression regulation and mechanism of action of DLEU1 in various malignant tumors can deeply understand the biological mechanisms such as the spatio-temporal heterogeneity, targeted treatment strategies, and interaction with the microenvironment of DLEU1 in malignant tumors, providing reference and guidance for precise tumor treatment and basic research applications based on non-coding RNA.

Key words: RNA, long noncoding, Biomarkers, tumor, Epigenomics, Tumor heterogeneity, Competing endogenous RNA