Evidence mapPaperPMID 40789840Full record

ReviewCell death discovery2025

Long non-coding RNAs and autophagy: dual drivers of Hepatocellular carcinoma progression.

Himanshi Goyal, Jyotdeep Kaur

Abstract readReview
In one paragraph

Review in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Himanshi GoyalDepartment of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Jyotdeep KaurDepartment of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India. jyotdeep2001@yahoo.co.in.ORCID http://orcid.org/0000-0003-0284-4517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC), a leading cause of cancer-related mortality worldwide, is characterized by poor prognosis, high recurrence rates, and limited responsiveness to current therapies. Autophagy, a conserved catabolic pathway essential for cellular homeostasis, plays a paradoxical role in HCC, acting as a tumor suppressor during initiation but promoting survival and progression in advanced stages. Long non-coding RNAs (lncRNAs) have emerged as critical regulators of autophagy, influencing tumorigenesis, metastasis, and therapy resistance through mechanisms such as miRNA sponging, chromatin remodeling, and protein interactions. This review describes how autophagy contributes to HCC at different stages, outlines the dual functions of lncRNAs as oncogenic drivers or tumor suppressors, and illustrates their integration into key signaling networks of autophagy (e.g., PI3K/AKT/mTOR, AMPK, Beclin-1). LncRNAs have been shown to modulate drug resistance, including resistance to first-line agents, by altering autophagic flux and associated molecular pathways. We also explored emerging strategies for targeting the lncRNA-autophagy axis, such as siRNAs, antisense oligonucleotides, and CRISPR/Cas systems, that have shown promise in preclinical studies and may be adapted for HCC. Furthermore, autophagy-related lncRNAs hold potential as non-invasive diagnostic and prognostic biomarkers and as predictors of recurrence. Integrating multi-omics approaches to validate these candidates will be critical for translation into clinical practice. Collectively, this review highlights the lncRNA-autophagy network as a promising frontier of biomarker discovery for precision diagnostics and targets for innovative therapeutics. The regulatory role of lncRNAs in autophagy presents a paradigm shift, heralding new strategies for targeted treatment.

Identifiers

PMID40789840
PMCPMC12339970

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.