Dong Lu

Dong Lu

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2026 in Organic Letters
Verified
Journal Article
Closed access
JDJiawei Dong
Jiawei Dong
JZJiahe Zou
Jiahe Zou
XZXinyi Zhang
Xinyi Zhang
XGXinyu Gao
Xinyu Gao
DLDong Lu
Dong Lu
RQRenhua Qiu
Renhua Qiu

6 June 2026 in The Journal of Organic Chemistry
Verified
Journal Article
Closed access
XZXinyi Zhang
Xinyi Zhang
JZJiahe Zou
Jiahe Zou
JDJiawei Dong
Jiawei Dong
XGXinyu Gao
Xinyu Gao
DLDong Lu
Dong Lu
JLJinyao Li
Jinyao Li

3 November 2026 in Biomolecules
Verified
Journal Article
Open access
PDF file
ZXZenan Xu
Zenan Xu
张张张蔓萱 张
张蔓萱 张
建徐建雄 徐
建雄 徐
DLDong Lu
Dong Lu
WLWenfang Li
Wenfang Li
Non-coding RNAs (ncRNAs) regulate gene expression at multiple levels in cancer, yet their functional plasticity and the slow pace of clinical translation remain incompletely explained. This review is organized around a unifying theme: ncRNAs act as integrative nodes connecting the epigenetic, transcriptional, signaling, and metabolic regulatory layers. Building on the established signal, sponge, scaffold, and guide archetypes of long non-coding RNA function, we extend this schema into a 4S+G model that adds a splice-regulatory archetype and embeds all five modes in a three-axis taxonomy spanning structural topology, subcellular localization, and molecular mode of operation, thereby capturing context-dependent functions that binary structural categories cannot accommodate. We dissect chromatin remodeling dynamics, evaluate the competing endogenous RNA hypothesis against stoichiometric evidence, and trace metabolic–epigenetic feedback circuits that stabilize malignant states. We then critically appraise the clinical record of ncRNA therapeutics, from the termination of MRX34 to the modest efficacy of subsequent candidates, and analyze the delivery, immunogenicity, and biomarker barriers that distinguish oncology from other indications for RNA drugs. Emerging solutions, including ligand-directed extrahepatic delivery, spatial transcriptomics, and deep learning-based target prediction, are assessed against these bottlenecks. The 4S+G framework links mechanistic understanding to a realistic roadmap for developing ncRNA-targeted cancer therapeutics with favorable risk–benefit profiles.