Evidence map›Paper›PMID 38415453›Full record

ArticleCurrent pharmaceutical design2024

The Potential Mechanism of Liujunzi Decoction in the Treatment of Breast Cancer based on Network Pharmacology and Molecular Docking Technology.

Mei Sun, Feng Lv, Chunmeng Qin, Dan Du, Wenjun Li, Songqing Liu

Abstract read
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In one paragraph

Article in Current pharmaceutical design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Mei SunDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Feng LvDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Chunmeng QinDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Dan DuDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Wenjun LiDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Songqing LiuDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Chongqing Medical University · CN

Funding

The Project of i Chongqing YubeDistrict Science and Technology Grant No. 202226Third Affiliated Hospital of Chongqing Medical University KY22042
6 · The paper itself

Abstract

backgroundLiujunzi Decoction (LJZD) is a potential clinical treatment for Breast Cancer (BC), but the active ingredients and mechanisms underlying its effectiveness remain unclear.

objectiveThe study aimed to investigate the target gene of LJZD compatibility and the possible mechanism of action in the treatment of breast cancer by using network pharmacology and molecular docking.

methodsBased on TCMSP, ETCM, and BATMAN database searching and screening to obtain the ingredients of LJZD, the related targets were obtained. Breast cancer-related targets were collected through GEO, Geencards, OMIM, and other databases, and drug-disease Venn diagrams were drawn by R. The PPI network map was constructed by using Cytoscape. The intersecting targets were imported into the STRING database, and the core targets were analyzed and screened. The intersected targets were analyzed by the DAVID database for GO and KEGG enrichment. AutoDock Vina and Gromacs were used for molecular docking and simulation of the core targets and active ingredients.

results126 active ingredients of LJZD were obtained; 241 targets related to breast cancer were sought after screening, and 180 intersection targets were identified through Venn diagram analysis. The core targets were FOS and ESR1. KEGG enrichment analysis mainly involved PI3K/Akt, MAPK, and other signaling pathways.

conclusionThis study has explored the possible targets and signaling pathways of LJZD in treating breast cancer through network pharmacology and bioinformatics analysis. Molecular docking and simulation have further validated the potential mechanism of action of LJZD in breast cancer treatment, providing essential experimental data for future studies.

Indexed as

Breast NeoplasmsDrugs, Chinese HerbalMolecular Docking SimulationNetwork PharmacologyAntineoplastic Agents, PhytogenicFemaleHumansAntineoplastic Agents, PhytogenicDrugs, Chinese Herbalbreast cancerESR1.FOSLiujunzi decoctionmolecular dockingnetwork pharmacology

Identifiers

PMID38415453
OpenAlexW4392352437

What OpenQuestion holds

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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.