Evidence map›Paper›PMID 41563565›Full record

ArticleApplied biochemistry and biotechnology2026

Exploration of Mechanisms of Keliu Pill on the Inhibition of Lymphangiogenesis in Non-small Cell Lung Cancer Based on Network Pharmacology and Experimental Validation.

Shuang Yang, Xiao Wu, Tingyu Pan, Weizhou Zhang, Wenpan Peng, Zhichao Wang, Fanchao Feng, Yong Xu, Ying Yang, Hailang He and 1 more

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shuang Yang *Department of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Xiao Wu *Department of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Tingyu PanDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Weizhou ZhangDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Wenpan PengDepartment of Pulmonary and Critical Care Medicine, Suzhou Hospital of Traditional Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Suzhou, Jiangsu, China.
Zhichao WangDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Fanchao FengDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Yong XuSchool of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Ying YangDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Hailang HeDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. lyghehailang@163.com.
Xianmei ZhouDepartment of Pulmonary and Critical Care Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. zhouxianmeijs@aliyun.com.

Funding

Jiangsu Provincial Traditional Chinese Medicine Technology Development Plan MS2021013National Natural Science Foundation of China 82074358
6 · The paper itself

Abstract

Keliu Pill (KLW) is a Chinese medicine formula that has been shown to be effective in treating non-small cell lung cancer (NSCLC) patients. However, the potential molecular mechanism remains unclear. To explore the underlying mechanism of Keliu Pill (KLW) in treating NSCLC, the network pharmacology was applied to explore the potential mechanism of KLW in the treatment of lung cancer. With oral bioavailability (OB) ≥ 30% and drug-like index (DL) ≥ 0.18 as the filter criteria, the compounds of 6 traditional Chinese medicines (TCMs) from KLW were retrieved on Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform (TCMSP) and supplemented by Traditional Chinese Medicine Comprehensive Database (TCMID). The potential targets corresponding to the active components of the TCMs mentioned above were obtained from TCMSP. Subsequently, the potential underlying action mechanisms of KLW on NSCLC predicted by the network pharmacology analyses were experimentally validated in Lewis lung cancer cell inoculation mice models and co-culture models with Lewis lung cancer cell and tumor-associated macrophages (TAMs). After database search and screening, a total of 20 active ingredients of Astragalus Membranaceus, 21 of Sophare Tonkinensis Radix et Rhizoma, 1 of Mylabris, 3 of Eupolyphaga, 1 of Leech, and 3 of Gecko were obtained. After deleting duplicates, 49 active ingredients were obtained. Thirty important active ingredients in KLW were sorted out by referring to relevant literature. The KEGG pathway enrichment analysis based on the DAVID platform showed that the VEGF-C signaling pathway may be the core signaling pathway associated with KLW in the treatment of NSCLC. The network pharmacological analysis demonstrated that the various components of KLW acted on NSCLC through 29 potential targets such as VEGF-C, VEGF-D, MAPK8, MAPK1, and AKT1. The experiments in vivo indicated KLW could inhibit the transcription and translation of VEGF-C and VEGF-D in tumor tissues. KLW could reduce the proportion of activated TAMs in the tissue. KLW-contained serum may decrease the expression level of VEGF-C and VEGF-D and inhibit the lymphatic lumen formation of human lymphatic endothelial cells. VEGFC and VEGFD were confirmed as the potential KLW-associated targets for NSCLC. KLW may inhibit lymphatic angiogenesis of lung cancer by regulating the function of TAMs.

Indexed as

Carcinoma, Non-Small-Cell LungDrugs, Chinese HerbalLung NeoplasmsLymphangiogenesisNetwork PharmacologyAnimalsCell Line, TumorHumansMiceMice, Inbred C57BLDrugs, Chinese HerbalChinese medicineIntegrated pharmacologicalKeliu PillLymphangiogenesisMechanismNon-small cell lung cancerTumor-associated macrophage

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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.