Evidence map›Paper›PMID 42260542›Full record

ArticleBMC complementary medicine and therapies2026

Mechanistic evaluation of pachymic acid in breast cancer via network pharmacology and in vitro validation.

Yibing Zhou, Zhuotao Yang, Yuchen Duan, Yijie Cheng, Wenqian Xu, Bo Wang, Jingyuan Xu, Da Qian, Chaoshen Wu

Abstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yibing Zhou *Central Laboratory, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China.
Zhuotao Yang *The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, P. R. China.
Yuchen Duan *School of Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210023, P. R. China.
Yijie Cheng *Department of Pharmacy, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China.
Wenqian XuDepartment of Breast and Thyroid Surgery, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China.
Bo WangDepartment of Breast and Thyroid Surgery, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China.
Jingyuan XuSchool of Biology and Food Engineering, Suzhou University of Technology, Changshu, Jiangsu, 215500, P. R. China. xujingyuanxu@126.com.
Da QianCentral Laboratory, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China. drqianda@hotmail.com.
Chaoshen WuCentral Laboratory, Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu, Jiangsu, 215500, P. R. China. wuchaoshen2019@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer(BC) is a major cause of cancer-related mortality in women worldwide, with current therapies often limited by toxicity and drug resistance. Pachymic acid (PA), a natural compound, demonstrates antitumor potential with relatively low systemic toxicity. However, its mechanism in triple-negative breast cancer (TNBC) remains unclear.

methodsThis study aims to deeply explore the anti-tumor effect of PA on TNBC. The intersection targets of PA and BC were screened through multiple databases, and the key genes were determined through TCGA survival analysis. The potential mechanism was simulated and studied through methods such as network pharmacology, molecular docking and molecular dynamics. Cell proliferation ability was evaluated by CCK-8 assay and colony formation assay. Cell migration and invasion abilities were detected by scratch assay and Transwell assay respectively. Gene expression levels were analyzed by qPCR and Western Blot, and the degree of lipid peroxidation was evaluated by malondialdehyde (MDA) assay.

resultsThrough multi-database screening and TCGA survival analysis, PTGS2, NOS2 and ABCB1 were identified as key targets. The TNBC cell line MDA-MB-231 was used as the experimental model. PA significantly inhibited the proliferation, migration and invasion of MDA-MB-231 cells. Mechanistic studies demonstrated that PA concurrently upregulates PTGS2 and NOS2 expression while downregulating ABCB1. Notably, the upregulation of PTGS2 was significantly correlated with increased lipid peroxidation, suggesting its crucial role in ferroptosis. The coordinated upregulation of NOS2 and downregulation of ABCB1 further enhanced cellular sensitivity to ferroptosis.

conclusionThis study is the first to reveal that PA induces ferroptosis in TNBC cells by regulating the PTGS2/NOS2/ABCB1 signaling axis, providing new potential targets for TNBC treatment. However, this study has limitations, as validation has been conducted only at the cellular level and not yet confirmed in animal models or clinical samples. Future research should validate this mechanism in more TNBC models and across different molecular subtypes of breast cancer to promote the clinical application of PA.

Indexed as

Triple Negative Breast NeoplasmsTriterpenesCell Line, TumorCell MovementCell ProliferationFemaleHumansMDA-MB-231 CellsMolecular Docking SimulationNetwork Pharmacologypachymic acidTriterpenesBreast cancerNetwork pharmacologyPachymic acidSelective cytotoxicityTCGA

Identifiers

PMID42260542
PMCPMC13471631

What OpenQuestion 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 OpenQuestion graph.