Dataset Information

Modular characteristics and the mechanism of Chinese medicine's treatment of gastric cancer: a data mining and pharmacology-based identification.

ABSTRACT:

Background

Traditional Chinese medicine (TCM) is increasingly extensively being applied as a complementary and alternative therapy for gastric cancer (GC); however, there is a lack of large-scale evidence-based deep learning for the guidance of its clinical prescription.

Methods

The combinational search terms of "Gastric cancer and/or gastric malignancy" and "Traditional Chinese Medicine" were used to retrieve clinical study-based herbal prescriptions from public database over the past 3 decades [1990-2020]. Association rules mining (ARM) was used to analyze the prescription patterns of the herbs extracted from the eligible studies. Deep machine learning and computational prediction were conducted to explore candidate prescriptions with general applicability for GC. The action mechanism of the preferred prescription was investigated through network pharmacology, and further validated via in vivo and in vitro experiments.

Results

A total of 194 clinical study-based herbal prescriptions with good efficacy for GC were collected. TCM with focus on invigorating the Spleen and tonifying the vital-Qi is a promising adjuvant therapy for GC. The preferred prescription is composed of Atractylodis Macrocephalae Rhizoma, Astragali Radix, Pinelliae Rhizoma, Citri Reticulatae Pericarpium, Herba Hedyotidis Diffusae, Crataegi Fructus, and so on. We screened 74 bioactive compounds and 2,128 predictive targets of the preferred prescription from public databases. Eventually, 135 GC-related genes were identified as the targets of the preferred prescription. The compound-target network revealed that the crucial substances in the preferred prescription are quercetin, kaempferol, baicalein, and nobiletin. Experimentally, the preferred prescription was validated to modulate GC cell survival and inhibit tumor progression mainly via the hTERT/MDM2-p53 signaling pathway in vivo and in vitro.

Conclusions

TCM aimed at invigorating the Spleen and tonifying the vital-Qi is a promising adjuvant therapy for GC, which offers a guidance for worldwide use of TCM in the treatment of GC.

SUBMITTER: Xu X

PROVIDER: S-EPMC8756228 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Publications

Modular characteristics and the mechanism of Chinese medicine's treatment of gastric cancer: a data mining and pharmacology-based identification.

Xu Xintian X Chen Yaling Y Zhang Xingxing X Zhang Ruijuan R Chen Xu X Liu Shenlin S Sun Qingmin Q

Annals of translational medicine 20211201 24

<h4>Background</h4>Traditional Chinese medicine (TCM) is increasingly extensively being applied as a complementary and alternative therapy for gastric cancer (GC); however, there is a lack of large-scale evidence-based deep learning for the guidance of its clinical prescription.<h4>Methods</h4>The combinational search terms of "Gastric cancer and/or gastric malignancy" and "Traditional Chinese Medicine" were used to retrieve clinical study-based herbal prescriptions from public database over the ...[more]

PMID: 35071471

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Dataset Information

Modular characteristics and the mechanism of Chinese medicine's treatment of gastric cancer: a data mining and pharmacology-based identification.

Background

Methods

Results

Conclusions

Publications

Modular characteristics and the mechanism of Chinese medicine's treatment of gastric cancer: a data mining and pharmacology-based identification.

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