Evidence map›Paper›PMID 42111820›Full record

ArticlePeerJ2026

Nicotine-induced immune escape mechanisms in lung adenocarcinoma: ceRNA network toxicology, and molecular dynamics simulations.

Yijing Zhong, Quhuan Li, Hailin Li, Xingyu Liu, Xiaomeng Chen, Jiao Li, Yu Zhang, Ruiquan Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yijing Zhong *School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Quhuan Li *School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Hailin LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Xingyu LiuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Xiaomeng ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Jiao LiGannan Medical University, Ganzhou, China.
Yu ZhangThe First Clinical School of Gannan Medical University, Ganzhou, China.
Ruiquan XuFirst Affiliated Hospital of Gannan Medical University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD), the most common subtype of lung cancer and a leading cause of cancer-related deaths, is strongly associated with cigarette smoking and nicotine exposure. However, the molecular mechanisms underlying nicotine-induced LUAD remain unclear. This study employed an integrative approach combining network toxicology, competing endogenous RNA (ceRNA) analysis, molecular docking, and dynamics simulations to investigate nicotine's role in LUAD. Network toxicology identified 81 potential nicotine targets, with 12 core targets showing significant differential expression in LUAD. Functional enrichment suggested involvement of immune escape, inflammation, and cell death. A ceRNA network highlighted microRNA-101 and microRNA-155-5p as key regulators. Molecular docking and dynamics simulations demonstrated stable binding between nicotine and core targets. These findings reveal toxicological mechanisms driving LUAD and offer potential therapeutic targets.

Indexed as

Adenocarcinoma of LungLung NeoplasmsNicotineTumor EscapeGene Expression Regulation, NeoplasticHumansMicroRNAsMolecular Docking SimulationMolecular Dynamics SimulationRNA, Competitive EndogenousMicroRNAsMIRN155 microRNA, humanNicotineRNA, Competitive EndogenousLung adenocarcinomaMolecular dockingMolecular dynamics simulationsNetwork toxicologyNicotine

Identifiers

PMID42111820
PMCPMC13151930

What OpenQuestion holds

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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 OpenQuestion graph.