Evidence map›Paper›PMID 36795572›Full record

ArticleAging2023

Systematic investigation of the mechanism of herbal medicines for the treatment of prostate cancer.

Jinghui Wang, Ran Ding, Ting Ouyang, Honglei Gao, Hongxing Kan, Yan Li, Qiongying Hu, Yinfeng Yang

Open access · hybridFull text read
In one paragraph

Article in Aging, 2023. 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
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A Review of Anticancer Activity ofCurrent pharmaceutical design · 2025
    Review
  5. Review
  6. 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

8 authors at 3 institutions in 1 country.

Jinghui WangSchool of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei 230012, Anhui, China.
Ran DingSchool of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, China.
Ting OuyangSchool of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, China.
Honglei GaoSchool of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, China.
Hongxing KanSchool of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, China.
Yan LiKey Laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian 116024, China.
Qiongying HuSchool of Medicine, Taizhou University, Taizhou 318000, Zhejiang, China.
Yinfeng YangSchool of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, China.
Anhui University of Traditional Chinese Medicine · CNDalian University of Technology · CNTaizhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to various unpleasant side effects and general ineffectiveness of current treatments for prostate cancer (PCa), more and more people with PCa try to look for complementary and alternative medicine such as herbal medicine. However, since herbal medicine has multi-components, multi-targets and multi-pathways features, its underlying molecular mechanism of action is not yet known and still needs to be systematically explored. Presently, a comprehensive approach consisting of bibliometric analysis, pharmacokinetic assessment, target prediction and network construction is firstly performed to obtain PCa-related herbal medicines and their corresponding candidate compounds and potential targets. Subsequently, a total of 20 overlapping genes between DEGs in PCa patients and the target genes of the PCa-related herbs, as well as five hub genes, i.e., CCNA2, CDK2, CTH, DPP4 and SRC were determined employing bioinformatics analysis. Further, the roles of these hub genes in PCa were also investigated through survival analysis and tumour immunity analysis. Moreover, to validate the reliability of the C-T interactions and to further explore the binding modes between ingredients and their targets, the molecular dynamics (MD) simulations were carried out. Finally, based on the modularization of the biological network, four signaling pathways, i.e., PI3K-Akt, MAPK, p53 and cell cycle were integrated to further analyze the therapeutic mechanism of PCa-related herbal medicine. All the results show the mechanism of action of herbal medicines on treating PCa from the molecular to systematic levels, providing a reference for the treatment of complex diseases using TCM.

Indexed as

Drugs, Chinese HerbalProstatic NeoplasmsHumansMalePhosphatidylinositol 3-KinasesReproducibility of ResultsDrugs, Chinese HerbalPhosphatidylinositol 3-Kinasesbioinformatics analysisherbal medicinesMD simulationsmechanism of actionprostate cancer

Identifiers

PMID36795572
PMCPMC10008508
OpenAlexW4321004691

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read32
table measurements read3
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.