Evidence map›Paper›PMID 36483919›Full record

ArticleComputational and mathematical methods in medicine2022

Exploring the Antiovarian Cancer Mechanisms of Salvia Miltiorrhiza Bunge by Network Pharmacological Analysis and Molecular Docking.

Xiao Xu, Zhiwei Zhang, Likun Liu, Cheng Che, Weiling Li

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. ExploringJournal of inflammation research · 2025
    Article
  5. Article
  6. The Mechanism by WhichJournal of inflammation research · 2024
    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

5 authors.

Xiao XuDepartment of Biotechnology, Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-7505-413X
Zhiwei ZhangDivision of Regulatory Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.ORCID https://orcid.org/0000-0002-6131-3233
Likun LiuDepartment of Biotechnology, Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-6231-4713
Cheng CheMedical Imaging Diagnosis Centre, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, China.ORCID https://orcid.org/0000-0003-2669-0217
Weiling LiDepartment of Biotechnology, Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0001-6681-9156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer was one of the gynecological malignant tumors. Objective: The antitumor effect of SMB on ovarian cancer was studied by network pharmacology and molecular docking techniques, and its possible molecular mechanisms were analyzed. Method: The active ingredients of SMB and the target data of ovarian cancer were obtained from the Traditional Chinese Medicines for Systems Pharmacology Database (TCMSP) and the GeneCards database. The relationship between active ingredients of SMB and ovarian cancer targets was analyzed by String database, David 6.8 online database, and Cytoscape 3.7.2 software, and then potential pathways were screened out. In addition, molecular docking technology was used to verify further the binding effect of antiovarian cancer pathway targets with active ingredients of SMB. Finally, survival analysis was performed for all potential targets. Results: We analyzed 71 SMB-ovarian cancer common targets, and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the PI3K-Akt signaling pathway might be an essential pathway for SMB to inhibit ovarian cancer. Luteolin, Tanshinone IIA, and Cryptotanshinone in SMB might play an important role. HSP90AA1, CDK2, and PIK3CG might be potential targets of SMB in inhibiting ovarian cancer. Conclusion: Through network pharmacology and molecular docking analysis, we found that SMB might partially inhibit ovarian cancer by the PI3K-Akt signaling pathway. We believe that SMB might be a potential therapeutic agent for ovarian cancer patients.

Indexed as

Ovarian NeoplasmsSalvia miltiorrhizaDatabases, FactualFemaleHumansMolecular Docking SimulationPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-Kinases

Identifiers

PMID36483919
PMCPMC9726254

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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.