Evidence map›Paper›PMID 35463069›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

A Network Pharmacology Approach for Uncovering the Antitumor Effects and Potential Mechanisms of the Sijunzi Decoction for the Treatment of Gastric Cancer.

Pengpeng Ding, Yutong Guo, Canghai Wang, Jianhong Chen, Chunmei Guo, Hong Liu, Qi Shi

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Network pharmacology study andWorld journal of gastrointestinal oncology · 2024
    Article
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  8. Article
  9. Article
  10. Review
  11. Observational
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

7 authors.

Pengpeng DingDepartment of Gastroenterology, Beijing Shijitan Hospital of Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0002-5207-6248
Yutong GuoOphthalmoptometry Class, Fourth Clinical Medical College, Nanjing Medical University, Nanjing, Jiangsu 210000, China.ORCID https://orcid.org/0000-0002-6812-6975
Canghai WangDepartment of Gastroenterology, Beijing Shijitan Hospital of Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0001-9422-0765
Jianhong ChenDepartment of Gastroenterology, Beijing Shijitan Hospital of Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0001-7989-0074
Chunmei GuoDepartment of Gastroenterology, Beijing Shijitan Hospital of Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0002-6103-7849
Hong LiuDepartment of Gastroenterology, Beijing Shijitan Hospital of Capital Medical University, Beijing 100038, China.ORCID https://orcid.org/0000-0003-2443-7808
Qi ShiDepartment of Oncology, Beijing Shijitan Hospital of Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-4727-1337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sijunzi decoction (SJZD), a classic Chinese formula, has been clinically used for the treatment of gastrointestinal disorders. However, few studies have uncovered its antitumor effects and its potential mechanisms against gastric cancer (GC). Therefore, this work aimed to identify the active compounds and putative targets of the SJZD and to further explore the potential mechanisms involved in the treatment of GC. Materials and Methods: The active compounds and potential targets of the SJZD and related genes for GC treatment were collected from a public database. Traditional Chinese medicine (TCM)-compound-target-disease networks, Venn diagrams, protein-protein interactions (PPIs), gene ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to obtain the bioactive compounds, key targets, and potential pathways. Next, the human gastric adenocarcinoma cell line NUGC-4 was inoculated subcutaneously into the right flank of NCG mice to build a tumor-bearing mouse model to further verify the findings. Results: There were 117 compounds in the SJZD in total. The SJZD and GC had 161 and 3288 potential targets, respectively, among which 123 targets overlapped. The network analysis showed that quercetin, kaempferol formononetin, ginsenoside, atractylenolide III, etc., were bioactive molecules. The tumor necrosis factor (TNF), interleukin-6 (IL-6), cellular tumor antigen p53 (TP53), transcription factor AP-1 (JUN), and vascular endothelial growth factor A (VEGFA) were potential targets. A KEGG pathway enrichment analysis revealed 110 pathways involved in the pathways for cancer, including the PI3K-AKT signaling pathway. Validation experiments showed that the SJZD inhibited tumor growth and induced apoptosis in tumor cells. In addition, the SJZD downregulated expressions of VEGFA, iNOS, COX-2, and Bax/Bcl2 and inhibited the expressions of p-PI3K and p-AKT. Conclusion: The SJZD treats GC by inhibiting blood vessel hyperplasia and inducing cell apoptosis by regulating the PI3K/AKT pathway.

Identifiers

PMID35463069
PMCPMC9019414

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