Emerging roles of long non-coding RNAs in osteosarcoma

Xun Liao; Rong Wei; Junxiu Zhou; Ke Wu; Jiao Li

doi:10.3389/fmolb.2024.1327459

Emerging roles of long non-coding RNAs in osteosarcoma

Front Mol Biosci. 2024 Mar 7:11:1327459. doi: 10.3389/fmolb.2024.1327459. eCollection 2024.

Authors

Xun Liao¹, Rong Wei², Junxiu Zhou¹, Ke Wu², Jiao Li²

Affiliations

¹ Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, Sichuan, China.
² Laboratory of Molecular Oncology, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.

Abstract

Osteosarcoma (OS) is a highly aggressive and lethal malignant bone tumor that primarily afflicts children, adolescents, and young adults. However, the molecular mechanisms underlying OS pathogenesis remain obscure. Mounting evidence implicates dysregulated long non-coding RNAs (lncRNAs) in tumorigenesis and progression. These lncRNAs play a pivotal role in modulating gene expression at diverse epigenetic, transcriptional, and post-transcriptional levels. Uncovering the roles of aberrant lncRNAs would provide new insights into OS pathogenesis and novel tools for its early diagnosis and treatment. In this review, we summarize the significance of lncRNAs in controlling signaling pathways implicated in OS development, including the Wnt/β-catenin, PI3K/AKT/mTOR, NF-κB, Notch, Hippo, and HIF-1α. Moreover, we discuss the multifaceted contributions of lncRNAs to drug resistance in OS, as well as their potential to serve as biomarkers and therapeutic targets. This review aims to encourage further research into lncRNA field and the development of more effective therapeutic strategies for patients with OS.

Keywords: biomarkers; drug resistance; long non-coding RNAs; osteosarcoma; signaling pathways.

Publication types

Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Science and Technology Foundation of Sichuan Province, China (24NSFSC1838, 2022YSF0211, and 2022YFS0091), and the National Natural Science Foundation of China (81903082).