Evidence map›Paper›PMID 31352466›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Discovery of the Anti-Tumor Mechanism of Calycosin Against Colorectal Cancer by Using System Pharmacology Approach.

Chen Huang, Rong Li, Wuxiang Shi, Zhaoquan Huang

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  8. Chemical Profiles and Antiobesity Effect of a Mixture ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Pharmaceutical Values of Calycosin: One Type of Flavonoid Isolated fromEvidence-based complementary and alternative medicine : eCAM · 2021
    Review
  14. Article
  15. 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

4 authors at 1 institution in 1 country.

Chen HuangDepartment of Medical Statistics and Epidemiology, College of Public Health, Guilin Medical University, Guilin, Guangxi, China (mainland).
Rong LiKey Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, Guangxi, China (mainland).
Wuxiang ShiHealth Management Unit, Faculty of Humanities and Management, Guilin Medical University, Guilin, Guangxi, China (mainland).
Zhaoquan HuangHealth Management Unit, Faculty of Humanities and Management, Guilin Medical University, Guilin, Guangxi, China (mainland).
Guilin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The aim of our study was to elucidate the biological targets and pharmacological mechanisms for calycosin (CC) against colorectal cancer (CRC) through an approach of system pharmacology. MATERIAL AND METHODS Using a web-based platform, all CRC-causing genes were identified using a database of gene-disease associations (DisGeNET), and all well-known genes of CC identified using the databases of prediction of protein targets of small molecules (Swiss Target Prediction), drug classification, and target prediction (SuperPred). The carefully selected genes of CRC and CC were concurrently constructed by using a database of functional protein association networks (STRING), and use of software for visualizing complex networks (Cytoscape), characterized with production of protein-protein interaction (PPI) network of CC against CRC. The important biological targets of CC against CRC were identified through topological analysis, then the biological processes and molecular pathways of CC against CRC were further revealed for testing these important biotargets by enrichment assays. RESULTS We found that the key predictive targets of CC against CRC were estrogen receptor 2 (ESR2), ATP-binding cassette sub-family G member 2 (ABCG2), breast cancer type 1 susceptibility protein (BRCA1), estrogen receptor 1 (ESR1), cytochrome p450 19A1 (CYP19A1), and epidermal growth factor receptor (EGFR). Visual analysis revealed that the biological processes of CC against CRC were positively linked to hormonal metabolism, regulation of genes, transport, cell communication, and signal transduction. Further, the interrelated molecular pathways were chiefly related to endogenous nuclear estrogen receptor alpha network, forkhead box protein A1 (FOXA1) transcription factor network, activating transcription factor 2 (ATF2) transcription factor network, regulation of telomerase, plasma membrane estrogen receptor signaling, estrogen biosynthesis, androgen receptor, FOXA transcription factor networks, estrogen biosynthesis, and phosphorylation of repair proteins. CONCLUSIONS Use of system pharmacology revealed the biotargets, biological processes, and pharmacological pathways of CC against CRC. Intriguingly, the identifiable predictive biomolecules are likely potential targets for effectively treating CRC.

Indexed as

AromataseATP Binding Cassette Transporter, Subfamily G, Member 2Biomarkers, TumorBRCA1 ProteinColonic NeoplasmsColorectal NeoplasmsComputational BiologyDatabases, GeneticErbB ReceptorsEstrogen Receptor alphaEstrogen Receptor betaGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksIsoflavonesNeoplasm Proteins7,3'-dihydroxy-4'-methoxyisoflavoneABCG2 protein, humanAromataseATP Binding Cassette Transporter, Subfamily G, Member 2Biomarkers, TumorBRCA1 ProteinCYP19A1 protein, humanEGFR protein, humanErbB ReceptorsESR1 protein, humanESR2 protein, humanEstrogen Receptor alphaEstrogen Receptor betaIsoflavonesNeoplasm Proteins

Identifiers

PMID31352466
PMCPMC6683728
OpenAlexW2966144085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.