Evidence map›Paper›PMID 40124267›Full record

ReviewWorld journal of gastroenterology2025

Roles of autophagy and long non-coding RNAs in gastric cancer.

Thang Viet Luong, Mai Thi Thu Cao, Nam Van Duc Nguyen, Hai Nguyen Ngoc Dang, Trung Tran Nguyen

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Thang Viet LuongDepartment of Internal Medicine, University of Medicine and Pharmacy, Hue University, Hue 530000, Viet Nam.
Mai Thi Thu CaoDepartment of Biochemistry, University of Medicine and Pharmacy, Hue University, Hue 530000, Viet Nam.
Nam Van Duc NguyenDepartment of Internal Medicine, University of Medicine and Pharmacy, Hue University, Hue 530000, Viet Nam.
Hai Nguyen Ngoc DangFaculty of Medicine, Duy Tan University, Da Nang 550000, Viet Nam.
Trung Tran NguyenDepartment of Biotechnology, NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Viet Nam. nguyen.trung@ntt.edu.vn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most aggressive malignancies worldwide and is characterized by its poor prognosis and resistance to conventional therapies. Autophagy and long non-coding RNAs (lncRNAs) play critical yet complex roles in GC, functioning as both tumor suppressors and promoters depending on the disease stage and context. Autophagy influences cellular homeostasis and metabolism, whereas lncRNAs regulate gene expression through epigenetic modifications, RNA sponging, and protein interactions. Notably, the interplay between lncRNAs and autophagy modulates tumor progression, metastasis, chemoresistance, and the tumor microenvironment. This study explored the intricate relationship between lncRNAs and autophagy in GC, highlighting their roles in pathogenesis and treatment resistance. By addressing current knowledge gaps and proposing innovative therapeutic strategies, we have emphasized the potential of targeting this dynamic interplay for improved diagnostic and therapeutic outcomes.

Indexed as

AutophagyRNA, Long NoncodingStomach NeoplasmsAntineoplastic AgentsBiomarkers, TumorDisease ProgressionDrug Resistance, NeoplasmEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentAntineoplastic AgentsBiomarkers, TumorRNA, Long NoncodingAutophagyCancer progressionEpigeneticGastric cancerGastrointestinal cancerLong non-coding RNAs

Identifiers

PMID40124267
PMCPMC11924004

What OpenQuestion holds

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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.