Evidence map›Paper›PMID 41361062›Full record

ReviewCell death & disease2025

Long non-coding RNAs in cancer glycolysis and metabolism: mechanisms and translational opportunities.

Yaru Ren, Ziyu Zhang, Xudong Lei, Lei Shi

Abstract readReview
In one paragraph

Review in Cell death & disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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

4 authors.

Yaru Ren *RNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, PR China.
Ziyu Zhang *RNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, PR China.
Xudong Lei *Sun Yat-sen University Cancer Center Gansu Hospital, Lanzhou, PR China.
Lei ShiRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, PR China. leishi@lzu.edu.cn.ORCID http://orcid.org/0000-0003-4027-2396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have emerged as critical regulators of cancer metabolism, particularly in the reprogramming of glycolysis that supports tumor growth and survival. Once considered non-functional genomic "noise", lncRNAs influence metabolic adaptation by modulating glycolytic enzymes, transcription factors, and signaling pathways, while also shaping the tumor microenvironment through immune and stromal interactions. In addition, lncRNA-encoded micropeptides provide an extra layer of metabolic control, underscoring their functional diversity. These features indicate lncRNAs as promising diagnostic biomarkers and therapeutic targets, particularly in the context of personalized cancer treatments. RNA-based therapies demonstrate preclinical efficacy in targeting glycolytic lncRNA and reversing drug resistances. Nonetheless, challenges remain, including delivery specificity, off-target effects, and limited clinical validation. Advances in single-cell multi-omics, spatial transcriptomics, and artificial intelligence may offer new avenues to overcome these challenges. Collectively, lncRNAs represent both mechanistic drivers of glycolysis and promising targets for innovative diagnostic and therapeutic strategies in cancer.

Indexed as

GlycolysisNeoplasmsRNA, Long NoncodingAnimalsGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentRNA, Long Noncoding

Identifiers

PMID41361062
PMCPMC12827984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.