ArticleScientific reports2016
Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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.
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.
Who cites it
54 citing papers in PubMed.
- Efficacy and Safety of Fuzheng Jiedu Xiaoji Formula Combined with Conventional Western Therapy in Advanced HBV-HCC: A Single-Center, Randomized Controlled Trial.Chinese journal of integrative medicine · 2025Trial
- The Role of HSP90 and TRAP1 Targets on Treatment in Hepatocellular Carcinoma.Molecular biotechnology · 2025Review
- Shoutai Pill Enhances Endometrial Receptivity in Controlled Ovarian Hyperstimulation Mice by Improving theCombinatorial chemistry & high throughput screening · 2025Article
- The hemostatic activity and Mechanistic roles of glucosyloxybenzyl 2-isobutylmalate extract (BSCE) fromHeliyon · 2024Article
- Integrated analyses for identification of a three-gene signature associated with Chaihu Shugan San formula for hepatocellular carcinoma treatment.Journal of cellular and molecular medicine · 2024Article
- Salidroside enhances 5-fluorouracil sensitivity against hepatocellular carcinoma via YIPF5-induced mitophagy.Frontiers in pharmacology · 2024Article
- Potential Target Metabolites From Gut Microbiota Against Hepatocellular Carcinoma: A Network Pharmacology and Molecular Docking Study.International journal of microbiology · 2024Article
- Article
- The mechanism of flavonoids fromFrontiers in pharmacology · 2023Article
- Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer.Journal of Cancer · 2023Article
- Investigation on the mechanism of Ginkgo Folium in the treatment of Non-alcoholic Fatty Liver Disease by strategy of network pharmacology and molecular docking.Technology and health care : official journal of the European Society for Engineering and Medicine · 2023Article
- A mechanistic review of pharmacological activities of homeopathic medicine licorice against neural diseases.Frontiers in neuroscience · 2023Review
- Crebanine induces ROS-dependent apoptosis in human hepatocellular carcinoma cellsFrontiers in pharmacology · 2023Article
- Integrated System Pharmacology Approaches to Elucidate Multi-Target Mechanism ofMolecules (Basel, Switzerland) · 2022Article
- Network Pharmacology and Bioinformatics Approach Reveals the Multi-Target Pharmacological Mechanism ofPharmaceuticals (Basel, Switzerland) · 2022Article
- Article
- Identification of the Mechanism of Matrine Combined with Glycyrrhizin for Hepatocellular Carcinoma Treatment through Network Pharmacology and Bioinformatics Analysis.Oxidative medicine and cellular longevity · 2022Article
- Using Network Pharmacology to Systematically Decipher the Potential Mechanisms of Jisuikang in the Treatment of Spinal Cord Injury.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Article
- Region-Specific Biomarkers and Their Mechanisms in the Treatment of Lung Adenocarcinoma: A Study ofMolecules (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) has been used to treat tumors for years and has been demonstrated to be effective. However, the underlying molecular mechanisms of herbs remain unclear. This study aims to ascertain molecular targets of herbs prolonging survival time of patients with advanced hepatocellular carcinoma (HCC) based on network pharmacology, and to establish a research method for accurate treatment of TCM. The survival benefit of TCM treatment with Chinese herbal medicine (CHM) was proved by Kaplan-Meier method and Cox regression analysis among 288 patients. The correlation between herbs and survival time was performed by bivariate correlation analysis. Network pharmacology method was utilized to construct the active ingredient-target networks of herbs that were responsible for the beneficial effects against HCC. Cox regression analysis showed CHM was an independent favorable prognostic factor. The median survival time was 13 months and the 5-year overall survival rates were 2.61% in the TCM group, while there were 6 months, 0 in the non-TCM group. Correlation analysis demonstrated that 8 herbs closely associated with prognosis. Network pharmacology analysis revealed that the 8 herbs regulated multiple HCC relative genes, among which the genes affected proliferation (KRAS, AKT2, MAPK), metastasis (SRC, MMP), angiogenesis (PTGS2) and apoptosis (CASP3) etc.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.