Evidence map›Paper›PMID 38618280›Full record

ArticleDrug design, development and therapy2024

Unveiling the Mechanism of the ChaiShao Shugan Formula Against Triple-Negative Breast Cancer.

Teng Fan, Yuanyuan Huang, Zeyu Liu, Jinsheng Huang, Bin Ke, Yuming Rong, Huijuan Qiu, Bei Zhang

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Mechanistic Insights into the Anticancer Potential ofPharmaceuticals (Basel, Switzerland) · 2025
    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

8 authors at 1 institution in 1 country.

Teng Fan *TCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Yuanyuan Huang *TCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Zeyu Liu *TCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Jinsheng HuangTCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.ORCID 0000-0002-5859-4994
Bin KeTCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Yuming RongTCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Huijuan QiuTCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Bei ZhangTCM&VIP Department, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ChaiShao Shugan Formula (CSSGF) is a traditional Chinese medicine formula with recently identified therapeutic value in triple-negative breast cancer (TNBC). This study aimed to elucidate the underlying mechanism of CSSGF in TNBC treatment. Methods: TNBC targets were analyzed using R and data were from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The major ingredients and related protein targets of CSSGF were explored via the Traditional Chinese Medicine Systems Pharmacology database, and an ingredient-target network was constructed via Cytoscape to identify hub genes. The STRING database was used to construct the PPI network. GO and KEGG enrichment analyses were performed via R to obtain the main targets. The online tool Kaplan‒Meier plotter was used to identify the prognostic genes. Molecular docking was applied to the core target genes and active ingredients. MDA-MB-231 and MCF-7 cell lines were used to verify the efficacy of the various drugs. Results: A total of 4562 genes were screened as TNBC target genes. The PPI network consisted of 89 nodes and 845 edges. Our study indicated that quercetin, beta-sitosterol, luteolin and catechin might be the core ingredients of CSSGF, and EGFR and c-Myc might be the latent therapeutic targets of CSSGF in the treatment of TNBC. GO and KEGG analyses indicated that the anticancer effect of CSSGF on TNBC was mainly associated with DNA binding, transcription factor binding, and other biological processes. The related signaling pathways mainly involved the TNF-a, IL-17, and apoptosis pathways. The molecular docking data indicated that quercetin, beta-sitosterol, luteolin, and catechin had high affinity for EGFR, JUN, Caspase-3 and ESR1, respectively. In vitro, we found that CSSGF could suppress the expression of c-Myc or promote the expression of EGFR. In addition, we found that quercetin downregulates c-Myc expression in two BC cell lines. Conclusion: This study revealed the effective ingredients and latent molecular mechanism of action of CSSGF against TNBC and confirmed that quercetin could target c-Myc to induce anti-BC effects.

Indexed as

CatechinTriple Negative Breast NeoplasmsErbB ReceptorsHumansLuteolinMCF-7 CellsMolecular Docking SimulationQuercetinCatechinErbB ReceptorsLuteolinQuercetinchaishao shugan formulac-Mycmolecular dockingnetwork pharmacologytriple-negative breast cancer

Identifiers

PMID38618280
PMCPMC11016267
OpenAlexW4394605229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.