Evidence map›Paper›PMID 41408124›Full record

ArticleScientific reports2025

Systems pharmacology approaches decipher the anti-cancer efficacy of ethnopharmacological agents in hepatocellular carcinoma.

Tingting Hao, Xiaonan Yang, Weibin Wang, Dawei Li, Yanqi Liu, Die Jiang, Ya Ning, Qinghua Kong, Hongmei Li, Ru Zhang and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Review
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

21 authors.

Tingting HaoCollege of Science, Yunnan Agricultural University, Kunming, 650201, People's Republic of China.
Xiaonan YangNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Weibin WangCollege of Science, Yunnan Agricultural University, Kunming, 650201, People's Republic of China.
Dawei LiYunnan Provincial Key Laboratory of Biological Big Data, Yunnan Agricultural University, Kunming, Yunnan, 650201, People's Republic of China.
Yanqi LiuYunnan Provincial Key Laboratory of Biological Big Data, Yunnan Agricultural University, Kunming, Yunnan, 650201, People's Republic of China.
Die JiangCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, People's Republic of China.
Ya NingCollege of Science, Yunnan Agricultural University, Kunming, 650201, People's Republic of China.
Qinghua KongKey Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Lan Hei Road 132, Kunming, 650201, Yunnan, People's Republic of China.
Hongmei LiKey Laboratory of Phytochemistry and Natural Medicines, Kunming Institute of Botany, Chinese Academy of Sciences, Lan Hei Road 132, Kunming, 650201, Yunnan, People's Republic of China.
Ru ZhangYunnan Provincial Academy of Animal Science and Veterinary Medicine, No. 6, Qinglong Mountain, Jin Dian, Pan Long District, Kunming City, Yunnan Province, People's Republic of China.
Zhu QiaoNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Xing JiangNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Xiaolei ZhouNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Dandan MoNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Wenqing SuNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Wendong HeNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China.
Xuzhen LiYunnan Provincial Key Laboratory of Biological Big Data, Yunnan Agricultural University, Kunming, Yunnan, 650201, People's Republic of China.
Baozheng ChenYunnan Provincial Key Laboratory of Biological Big Data, Yunnan Agricultural University, Kunming, Yunnan, 650201, People's Republic of China.
Qiang-Qiang ZhuCollege of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, People's Republic of China. tianjiao125@126.com.
Xianghua XiaNational Engineering Research Center for Southwest Endangered Medicinal Resources Development, Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, Guangxi, 530023, People's Republic of China. 417398123@qq.com.
Yang DongCollege of Science, Yunnan Agricultural University, Kunming, 650201, People's Republic of China. loyalyang@163.com.ORCID 0000-0001-6212-3055

Funding

Xianghua Xia Guikezhong1598005-14Xiaonan Yang 2023GXNSFBA026354
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) poses a significant global health burden with limited therapeutic efficacy. Chinese herbal medicines (CHMs) offer multi-target potential, yet their systematic screening and mechanistic elucidation remain challenging. We established a high-throughput multi-omics platform integrating transcriptomics, proteomics, and deep learning (autoencoder and multiple kernel learning) to screen 187 medicinal plants. Five CHMs candidates were identified and shown to modulate hub genes (e.g., AKR1B10, HMGCR, THBS1) and key pathways (TNF/IL-17/MAPK, apoptosis, ferroptosis). Proteomic validation and functional assays confirmed their roles in suppressing proliferation, migration, and inducing apoptosis in HCC cells. This study provides a robust, data-driven pipeline for natural anti-HCC drug discovery, linking specific hub genes to CHM efficacy and offering novel insights into precision ethnopharmacology.

Indexed as

Antineoplastic AgentsAntineoplastic Agents, PhytogenicCarcinoma, HepatocellularDrugs, Chinese HerbalLiver NeoplasmsApoptosisCell Line, TumorCell MovementCell ProliferationEthnopharmacologyGene Expression Regulation, NeoplasticHumansNetwork PharmacologyProteomicsAntineoplastic AgentsAntineoplastic Agents, PhytogenicDrugs, Chinese HerbalChinese herbal medicineDeep learningHigh-throughput omics analysisLiver cancer

Identifiers

PMID41408124
PMCPMC12711885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.