Evidence map›Paper›PMID 37978381›Full record

ArticleBMC complementary medicine and therapies2023

Prediction and validation of common targets in atherosclerosis and non-small cell lung cancer influenced by atorvastatin.

Yu-Qian Li, Lu-Yao Li, Xue Yang, Qi-Qi Lei, Liu-Yan Xiang, Yuan-Ru Wang, Si-Meng Gu, Ya-Jun Cao, Yan Pan, Lu Tie and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2023. 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
0.5field-weighted citation impact, top 26% of its field
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, 2 citations in OpenAlex.

  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

11 authors at 2 institutions in 1 country.

Yu-Qian LiDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Lu-Yao LiDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Xue YangDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Qi-Qi LeiDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Liu-Yan XiangDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Yuan-Ru WangDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Si-Meng GuDepartment of Pharmacology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Ya-Jun CaoDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China.
Yan PanDepartment of Pharmacology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Lu TieDepartment of Pharmacology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.
Xue-Jun LiDepartment of Pharmacology, School of Pharmacy, Shihezi University, Shihezi, 832002, China. xjli@bjmu.edu.cn.
Shihezi University · CNPeking University · CN

Funding

National Natural Science Funding of China 82073878National Natural Science Funding of China 92168120
6 · The paper itself

Abstract

backgroundCardiovascular disease and cancer are the main causes of morbidity and mortality worldwide. Studies have shown that these two diseases may have some common risk factors. Atorvastatin is mainly used for the treatment of atherosclerosis in clinic. A large number of studies show that atorvastatin may produce anti-tumor activities. This study aimed to predict the common targets of atorvastatin against atherosclerosis and non-small cell lung cancer (NSCLC) based on network pharmacology.

methodsThe target genes of atherosclerosis and NSCLC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The disease-target-component model map and the core network were obtained using Cytoscape 3.7.1. The MTS and wound healing assay were used to detect the effect of atorvastatin on cell viability and migration of A549 cells. The expression of potential common target genes of atorvastatin against atherosclerosis and NSCLC were confirmed in A549 cells and lung cancer tissues of patients.

resultsWe identified 15 identical pathogenic genes, and four of which (MMP9, MMP12, CD36, and FABP4) were considered as the key target genes of atorvastatin in anti-atherosclerosis and NSCLC. The MTS and wound healing assays revealed that atorvastatin decreased A549 cells migration significantly. Atorvastatin markedly decreased the expression of MMP9, MMP12, CD36, and FABP4 in A549 cells and patients were treated with atorvastatin.

conclusionsThis study demonstrated 15 common pathogenic genes in both atherosclerosis and NSCLC. And verified that MMP 9, MMP 12, CD 36 and FABP 4 might be the common target genes of atorvastatin in anti-atherosclerosis and NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAtorvastatinHumansMatrix Metalloproteinase 12Matrix Metalloproteinase 9AtorvastatinMatrix Metalloproteinase 12Matrix Metalloproteinase 9AtherosclerosisAtorvastatinMigrationNetwork pharmacologyNon-small cell lung cancer

Identifiers

PMID37978381
PMCPMC10657002
OpenAlexW4388762128

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.