Evidence map›Paper›PMID 39256509›Full record

ArticleScientific reports2024

Morphine promotes non-small cell lung cancer progression by downregulating E-cadherin via the PI3K/AKT/mTOR pathway.

Fulei Gu, Yuxuan Zhou, Lili Tian, Jinyan Chen, Can Zhang, Zhangxiang Huang, Weifeng Yu, Kangjie Xie

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Opioid System and Epithelial-Mesenchymal Transition.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Fulei Gu *Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, 310022, Zhejiang, China.
Yuxuan Zhou *Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, 310022, Zhejiang, China.
Lili Tian *Traditional Chinese Medicine Pharmacy, Zhejiang Hospital, Hangzhou, 310022, Zhejiang, China.
Jinyan ChenPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, 310022, Zhejiang, China.
Can ZhangPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, 310022, Zhejiang, China.
Zhangxiang HuangDepartment of Pain, First Affiliated Hospital of Kunming Medical University, Kunming, 650000, Yunnan, China.
Weifeng YuDepartment of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China. ywf808@yeah.net.
Kangjie XieDepartment of Anesthesiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China. xiekj9261@126.com.

Funding

National Natural Science Foundation of China 82160229Zhejiang Province Traditional Chinese Medicine Science and Technology Project Foundation 2022ZA006Zhejiang Provincial Health Science and Technology Program Young Innovative Talents Project 2022RC015Zhejiang Traditional Chinese Medicine Science and Technology Plan 2023ZL302
6 · The paper itself

Abstract

Morphine has been suggested to affect cancer cell dynamics and decrease survival rates in lung cancer patients at specific doses, but the precise mechanisms poorly understood. In this study, we aimed to investigate the molecular mechanisms by which morphine modulates the malignant characteristics of non-small cell lung cancer. Cell proliferation was assessed via the Cell Counting Kit-8 assay, and cell migration and invasion were examined via wound healing and Transwell assays. We employed immunofluorescence staining to evaluate E-cadherin expression in A549 and Lewis lung cancer (LLC) cell lines and immunohistochemistry to evaluate E-cadherin expression in nude mice tumours. Additionally, the in vivo effects of morphine on lung cancer progression were explored in a xenograft tumour experiments, in which naloxone was used as a morphine antagonist. Western blot analysis was performed to detect E-cadherin, phosphorylated mTOR (p-mTOR), mTOR, phosphorylated AKT (p-AKT), AKT, phosphorylated PI3K (p-PI3K), and PI3K protein levels in A549 and LLC cells as well as in tumour samples. Morphine (10 µM) significantly increased the proliferation of A549 and LLC cells in vitro (p < 0.05). It also enhanced the migratory and invasive capacities of these cell lines (p < 0.01). Mechanistically, morphine treatment (10 µM) led to a reduction in the expression of E-cadherin, and an increase in the phosphorylation of PI3K, AKT, and mTOR in A549 and LLC cells (p < 0.01). Morphine treatment (1.5 mg/kg) also reduced E-cadherin expression in xenograft tumours and promoted tumour growth in vivo (p < 0.05). This effect was reversed by naloxone (0.1 mg/kg). The results demonstrated that morphine stimulates the malignant proliferation of A549 and LLC cell lines and promotes xenograft tumour growth. Perhaps by specifically targeting MOR, morphine triggers a signalling cascade that activates the PI3K/AKT/mTOR pathway while inhibiting the EMT marker E-cadherin, which may consequently promote the progression of lung cancer.

Indexed as

CadherinsCarcinoma, Non-Small-Cell LungLung NeoplasmsMorphineSignal TransductionA549 CellsAnimalsCell Line, TumorCell MovementCell ProliferationDisease ProgressionDown-RegulationGene Expression Regulation, NeoplasticHumansMaleMiceCadherinsMorphineMTOR protein, humanNaloxonePhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesE-cadherinMalignant biological behaviourMorphineNon-small cell lung cancerµ-Opioid receptor

Identifiers

PMID39256509
PMCPMC11387813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.