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. 2021 Jun 28:2021:3621677.
doi: 10.1155/2021/3621677. eCollection 2021.

A Data Mining-Based Analysis of Core Herbs on Different Patterns (Zheng) of Non-Small Cell Lung Cancer

Affiliations

A Data Mining-Based Analysis of Core Herbs on Different Patterns (Zheng) of Non-Small Cell Lung Cancer

Xiangjun Qi et al. Evid Based Complement Alternat Med. .

Abstract

Objective: To explore the role of Chinese prescriptions in non-small cell lung cancer (NSCLC) and provide references for the application of herbs and prescriptions.

Methods: Randomized and quasirandomized controlled clinical trials on Chinese herbal medicine in the treatment of NSCLC were collected from seven databases to establish a database of prescriptions on NSCLC. Data-mining analyses were performed by RStudio (v4.0.3) software.

Results: A total of 970 prescriptions were obtained from 945 included studies, involving 7 syndromes and 428 herbs. The main patterns of NSCLC included qi deficiency pattern, yin deficiency pattern, blood deficiency pattern, kidney deficiency pattern, heat toxin pattern, phlegm-dampness pattern, and blood stasis pattern. High-frequency herbs on NSCLC were Astragali Radix (Huangqi), Atractylodis Macrocephalae Rhizome (Baizhu), Glycyrrhizae Radix Rhizome (Gancao), Poria (Fuling), Ophiopogonis Radix (Maidong), Hedyotidis Diffusae Herba (Baihuasheshecao), Codonopsis Radix (Dangshen), and Glehniae Radix (Beishashen). The properties of the herbs were mainly cold, warm, and mild. The flavors of the herbs were mainly sweet, bitter, and pungent. The main meridian tropisms were Lung Meridian of Hand-Taiyin, Spleen Meridian of Foot-Taiyin, and Stomach Meridian of Foot-Yangming.

Conclusion: Applying clearing and tonifying method by targeting the lung and spleen was the most frequently used therapy in the treatment of NSCLC. This study offered a glimpse of unique views of traditional Chinese medicine on NSCLC and may benefit the treatment of NSCLC.

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Conflict of interest statement

The authors report no conflicts of interest regarding the publication of this work.

Figures

Figure 1
Figure 1
Property, flavor, and meridian tropism of herbs. (a) The radar chart of properties of herbs. (b) The radar chart of flavors of herbs. (c) The circle chart of meridian tropisms of herbs.
Figure 2
Figure 2
Association rule map of herbs based on graph method.
Figure 3
Figure 3
Association rule diagram of herbs based on grouped matrix method.
Figure 4
Figure 4
Cluster analysis of the 31 most frequently prescribed herbs.
Figure 5
Figure 5
Association rule combination matrix of different patterns (zheng). (a) Association rule diagram of qi deficiency pattern. (b) Association rule diagram of yin deficiency pattern. (c) Association rule diagram of blood deficiency pattern. (d) Association rule diagram of kidney deficiency pattern. (e) Association rule diagram of heat toxin pattern. (f) Association rule diagram of phlegm-dampness pattern. (g) Association rule diagram of blood stasis pattern.

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