Evidence map›Paper›PMID 39323803›Full record

ArticleHeliyon2024

TGF-β1/miR-30d-5p axis regulating the expression of EMT key factors to induce apoptosis of lung cancer cells.

Qigang Zeng, Wenjie Shi, Longyun Xie, Yong Dai, Chenggong Wei

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Qigang ZengDepartment of Respiratory and Critical Care Medicine, Guangdong Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, Guangdong, 528200, People's Republic of China.
Wenjie ShiGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510405, People's Republic of China.
Longyun XieGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510405, People's Republic of China.
Yong DaiDepartment of Respiratory and Critical Care Medicine, Guangdong Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, Guangdong, 528200, People's Republic of China.
Chenggong WeiDepartment of Respiratory and Critical Care Medicine, Guangdong Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, Guangdong, 528200, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Previous studies have reported that miR-30d-5p gene expression can inhibit tumor proliferation, but its mechanism has not been fully elucidated. Methods: Based on previous findings, TGF-β1 was used to induce epithelial mesenchymal transformation in A549 cells. The expression levels of DUSP-1, E-cadherin and Vimentin were detected by Western blot. mRNA expression levels of DUSP-1, E-cadherin and Vimentin were determined by RT-qPCR. The expression level of miR-30d-5p was determined by RT-qPCR. Results: The induction effect of TGF-β1 could be reversed by the intervention of miR-30d-5p in A549 cells. miRNA inhibition experiment showed that miR-30d-5p inhibitor could effectively inhibit the expression of miR-30d-5p in A549 cells. After miR-30d-5p intervention, TGF-β1 was reversed on EMT-related genes (Dusp-1, E-cadherin, Vimentin). Conclusion: TGF-β1 can induce epithelial mesenchymal transformation of A549 cells, and miR-30d-5p may be a key regulatory mechanism in regulating gene and protein expression of TGF-β1-mediated DUSP-1, E-cadherin and Vimentin. This provides a new perspective for understanding the anti-tumor effect of miR-30d-5p gene.

Indexed as

ApoptosisDusp-1e-cadherinmiR-30d-5p geneNon-small cell lung cancerProliferationVimentin

Identifiers

PMID39323803
PMCPMC11422055

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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.