Evidence map›Paper›PMID 38847902›Full record

ArticleMedical oncology (Northwood, London, England)2024

Salvianolic acid B inhibits the growth and metastasis of A549 lung cancer cells through the NDRG2/PTEN pathway by inducing oxidative stress.

Ye Yang, Lei Huang, Jie Gao, Bingjun Qian

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Ye YangDepartment of Pharmacology and Medicinal Chemistry, Jiangsu Vocational College of Medicine, Yancheng, 224005, Jiangsu, People's Republic of China.
Lei HuangDepartment of Pharmacology and Medicinal Chemistry, Jiangsu Vocational College of Medicine, Yancheng, 224005, Jiangsu, People's Republic of China.
Jie GaoClinical Pharmacology Laboratory, Jiangsu Provincial Hospital of Traditional Chinese Medicine, Nanjing, 210004, Jiangsu, People's Republic of China.
Bingjun QianDepartment of Pharmacology and Medicinal Chemistry, Jiangsu Vocational College of Medicine, Yancheng, 224005, Jiangsu, People's Republic of China. bjqianfd@jsmc.edu.cn.

Funding

Jiangsu Provincial Health Commission of China Z2019053Natural Science Foundation of the Jiangsu Higher Education Institutions of China 21KJB360013
6 · The paper itself

Abstract

Salvianolic acid B (Sal B) has demonstrated anticancer activity against various types of cancer. However, the underlying mechanism of Sal B-mediated anticancer effects remains incompletely understood. This study aims to investigate the impact of Sal B on the growth and metastasis of human A549 lung cells, as well as elucidate its potential mechanisms. In this study, different concentrations of Sal B were administered to A549 cells. The effects on migration and invasion abilities were assessed using MTT, wound healing, and transwell assays. Flow cytometry analysis was employed to evaluate Sal B-induced apoptosis in A549 cells. Western blotting and immunohistochemistry were conducted to measure the expression levels of cleaved caspase-3, cleaved PARP, and E-cadherin. Commercial kits were utilized for detecting intracellular reactive oxygen species (ROS) and NAD

Indexed as

BenzofuransCell MovementCell ProliferationLung NeoplasmsOxidative StressPTEN PhosphohydrolaseSignal TransductionA549 CellsAnimalsApoptosisDepsidesHumansMiceMice, Inbred BALB CMice, NudeReactive Oxygen SpeciesBenzofuransDepsidesNDRG2 protein, humanPTEN PhosphohydrolasePTEN protein, humanReactive Oxygen Speciessalvianolic acid BTumor Suppressor ProteinsA549GrowthMetastasisNDRG2p-PTENROSSalvianolic acid B

Identifiers

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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.