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December 4, 2025International Journal of Molecular SciencesOpen Access

Targeting Pan-Cancer Stemness: Core Regulatory lncRNAs as Novel Therapeutic Vulnerabilities

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Authors

SDShengcheng DengYYYufan YangDGDa-peng Gao

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Overview

Analysis demonstrates a prognostic model for cancer stem cells, implying long non-coding RNAs are critical in therapeutic resistance and metabolic reprogramming.

Key Points

  • Metabolic reprogramming enhances cancer stemness, driving therapeutic resistance in tumors and supporting the role of long non-coding RNAs.
  • A prognostic model shows strong predictive performance for cancer stem cells and reveals the influence of regulatory long non-coding RNAs on tumor progression.
  • Machine-learning-based stemness metrics quantified features across multiple cancer types, uncovering the importance of cancer stem cells in therapy response.
  • This analysis highlights the potential of targeting long non-coding RNAs in developing effective treatments for various cancers.

Cite This Study

Deng et al. (2025) studied this question.

synapsesocial.com/papers/6930e8d7ea1aef094cca3b16https://doi.org/10.3390/ijms262311684
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Identification and characterization of lncRNA-stemness-immune regulatory patterns2026
  2. 2Long non-coding RNAs in cancer stem cells and therapeutic resistance2026
  3. 3Long non-coding RNAs: Key regulators of stemness in breast cancer2025 · 1 citations
  4. 4Comprehensive characterization of stemness-related lncRNAs in triple-negative breast cancer identified a novel prognostic signature related to treatment outcomes, immune landscape analysis and therapeutic guidance: a silico analysis with in vivo experiments2024 · 20 citations
  5. 5lncRNAs as Targetable Nodes of Oncogenic Networks Underlying Cancer Progression and Therapy Resistance2025