Evidence map›Paper›PMID 40723840›Full record

ReviewBiomolecules2025

The Regulatory Role of LncRNAs in Modulating Autophagy and Drug Resistance in Non-Small-Cell Lung Cancer: Focus on Targeted Therapeutic Approaches.

Shuncai Dai, Yuxin Zhong, Jianfu Lu, Linjiang Song

Abstract readReview
In one paragraph

Review in Biomolecules, 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

4 authors.

Shuncai DaiSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yuxin ZhongBiological Science Research Center, Southwest University, Chongqing 400715, China.
Jianfu LuSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Linjiang SongSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Funding

National Natural Science Foundation of China 82305011
6 · The paper itself

Abstract

Lung cancer remains one of the leading causes of death associated with cancer globally, with non-small cell lung cancer (NSCLC) accounting for 80-85% of all lung cancer cases. Despite its high prevalence, the underlying mechanisms of NSCLC have not been completely clarified, and current therapeutic strategies face significant limitations. Recent research has revealed the important role of long non-coding RNAs (lncRNAs) in NSCLC, particularly in regulating processes such as autophagy and drug resistance. LncRNAs are a class of non-coding RNA molecules, typically with transcript lengths exceeding 200 nucleotides, and have been the subject of extensive investigation in recent years. Their involvement in critical cellular processes has opened up new research avenues for precision medicine in NSCLC. This review aims to offer a comprehensive analysis of the mechanisms by which lncRNAs regulate autophagy and drug resistance in NSCLC, explore their potential clinical applications as diagnostic biomarkers and therapeutic targets, and provide both theoretical foundations and practical guidance to advance precision medicine in this area. By deepening our understanding of the role of lncRNAs in NSCLC, this article also highlights the promising potential of lncRNA-based approaches for the diagnosis and treatment of this disease.

Indexed as

AutophagyCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsRNA, Long NoncodingAnimalsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansBiomarkers, TumorRNA, Long Noncodingautophagybiomarkerschemotherapy resistancelong non-coding RNA (lncRNAs)non-small-cell lung cancer (NSCLC)precision medicinetargeted treatment

Identifiers

PMID40723840
PMCPMC12292587

What Socratic 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 Socratic graph.