Evidence map›Paper›PMID 37957900›Full record

ArticleCombinatorial chemistry & high throughput screening2025

Integrating Network Pharmacology and

Yuan Xu, Ying-Xuan Zhang, Hong-Yu Chen, Li-Sheng Chang, Xiao-Jun Gou, Wen-Li Chen

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Article in Combinatorial chemistry & high throughput screening, 2025. 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, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Yuan XuSchool of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi 712046, China.
Ying-Xuan ZhangBaoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai 201999, China.
Hong-Yu ChenBaoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai 201999, China.
Li-Sheng ChangBaoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai 201999, China.
Xiao-Jun GouBaoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai 201999, China.
Wen-Li ChenBaoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai 201999, China.
Shaanxi University of Chinese Medicine · CN

Funding

Natural Resources Fund Breeding Project of Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai GZRPYJJ-201704Shanghai Baoshan District Science and Technology Commission Science and Technology Innovation Special Fund Project 16-E-15
6 · The paper itself

Abstract

background and purposeFuZheng YiLiu Formula (FZYL) is a commonly used formula for postoperative estrogen receptor-positive (ER+) breast cancer and post-radiotherapy deficiency of both Qi and Yin. FZYL has been used in clinical practice for decades because of its ability to effectively improve the symptoms of deficiency in cancer patients. However, its mechanism needs to be further clarified. In this paper, we will observe the effect of FZYL on mice with ER+ breast cancer and explore the mechanism by which it improves the symptoms of ER+ breast cancer. MATERIALS AND

methodsA tumor xenograft mouse model was established to detect tumor growth in vivo in order to evaluate the pharmacological effects of FZYL on ER+ breast cancer. The main targets of FZYL were identified by extracting the FZYL components and the corresponding potential target genes of breast cancer from the established database and constructing a proteinprotein interaction network of shared genes using the string database. GO functional annotation and KEGG pathway enrichment analysis were performed, and molecular docking, molecular dynamics simulations, western blotting analysis, and RT-qPCR were performed to confirm the validity of targets in the relevant pathways.

resultsFZYL was able to significantly reduce the size of tumors

conclusionIn this study, the potential active ingredients, potential core targets, key biological pathways, and signaling pathways involved in the treatment of breast cancer with FZYL were identified, providing a theoretical basis for further anti ER+ breast cancer research.

Indexed as

Antineoplastic AgentsBreast NeoplasmsDrugs, Chinese HerbalNetwork PharmacologyReceptors, EstrogenAnimalsApoptosisCell ProliferationDrug Screening Assays, AntitumorFemaleHumansMiceMice, Inbred BALB CMice, NudeMolecular Docking SimulationAntineoplastic AgentsDrugs, Chinese HerbalReceptors, Estrogenbreast cancerestrogen receptor-positive (ER+) breast cancer.fuzheng yiliu formulamolecular dockingNetwork pharmacologytraditional chinese medicine

Identifiers

PMID37957900
OpenAlexW4388668672

What OpenQuestion holds

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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.