Evidence map›Paper›PMID 40673298›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2025

[

Xinyuan Chen, Chengting Wu, Ruidi Li, Xueqin Pan, Yaodan Zhang, Junyu Tao, Caizhi Lin

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  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

7 authors.

Xinyuan ChenGuangxi University of Chinese Medicine, Nanning 530299, China.
Chengting WuGuangxi University of Chinese Medicine, Nanning 530299, China.
Ruidi LiDepartment of Spleen and Gastroenterology, Xianhu Campus of First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530200, China.
Xueqin PanFaculty of Chinese Medicine Science, Guangxi University of Chinese Medicine, Nanning 530299, China.
Yaodan ZhangFaculty of Chinese Medicine Science, Guangxi University of Chinese Medicine, Nanning 530299, China.
Junyu TaoGuangxi University of Chinese Medicine, Nanning 530299, China.
Caizhi LinGuangxi University of Chinese Medicine, Nanning 530299, China.

Funding

National Natural Science Foundation of China 82060834
6 · The paper itself

Abstract

objectivesTo explore the mechanism of

methodsNetwork pharmacology analysis was conducted to identify the common targets of SSD and gastric cancer cell ferroptosis, and bioinformatics analysis and molecular docking were used to validate the core targets. In the cell experiment, AGS cells were treated with SSD-medicated serum, Fer-1 (a ferroptosis inhibitor), or both, and the changes in cell viability, ferroptosis markers (ROS, Fe

resultsThe active components in SSD (quercetin and wogonin) showed strong binding affinities to P53. In AGS cells, SSD treatment dose-dependently inhibited cell proliferation, increased ROS and Fe

conclusionsSSD inhibits gastric cancer growth in nude mice by inducing cell ferroptosis via the P53/SLC7A11/GPX4 axis.

Indexed as

Drugs, Chinese HerbalFerroptosisStomach NeoplasmsTumor Suppressor Protein p53Amino Acid Transport System y+AnimalsCell Line, TumorCell ProliferationHumansMiceMice, NudePhospholipid Hydroperoxide Glutathione PeroxidaseXenograft Model Antitumor AssaysAmino Acid Transport System y+Drugs, Chinese HerbalPhospholipid Hydroperoxide Glutathione PeroxidaseSLC7A11 protein, humanTumor Suppressor Protein p53bioinformaticsferroptosisgastric cancermolecular dockingnetwork pharmacologyP53/SLC7A11/GPX4 pathwayShuangshu Decoction

Identifiers

PMID40673298
PMCPMC12268921

What Socratic holds

Textmetadata
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 Socratic graph.