ArticleOncotarget2016
Clinical benefit from EGFR-TKI plus ginsenoside Rg3 in patients with advanced non-small cell lung cancer harboring EGFR active mutation.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled 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.
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
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Experimental Evidence for the Anti-Metastatic Action of Ginsenoside Rg3: A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Meta-Analysis of Aidi Injection and First-Generation Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor Therapy in Treating Advanced Non-Small Cell Lung Cancer.Journal of evidence-based integrative medicinePooled it
- Ginsenosides Rh2 and Rg3 in first-line combination therapy: Prospects for rapid clinical translation in drug-resistant triple-negative breast cancer.Journal of ginseng research · 2026Review
- Natural compounds for non-small cell lung cancer treatment: focus on the EGFR signaling pathway.Frontiers in pharmacology · 2026Review
- Traditional Chinese medicine reprograms the tumor microenvironment to overcome EGFR-TKI resistance: mechanisms and therapeutic perspectives.Frontiers in pharmacology · 2026Review
- Ginsenoside Rg3 Adjunctively Increases the Efficacy of Gefitinib Against NSCLC by Regulating EGFR Copy Number.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Development of modern Chinese medicine guided by molecular compatibility theory.Journal of advanced research · 2025Review
- Clinical efficacy and safety evaluation of traditional Chinese medicine for nourishing yin and Replenishing qi in combination with PD-1/PD-L1 inhibitors in the treatment of NSCLC patients: a meta-analysis.Toxicology research · 2025Article
- Development of Traditional Chinese Medicine in combination with EGFR Inhibitors against Cancer.Journal of Cancer · 2025Review
- Gypenosides, a promising phytochemical triterpenoid: research progress on its pharmacological activity and mechanism.Frontiers in pharmacology · 2025Review
- Ginsenoside Rg3 in Cancer Research: Current Trends and Future Prospects - A Review.Current medicinal chemistry · 2025Review
- Rare ginsenosides: A unique perspective of ginseng research.Journal of advanced research · 2024Review
- The protective effect of 20(S)-ginsenoside Rg3 on the human retinal pigment epithelial cells against hydrogen peroxide-induced oxidative stress.Food science and biotechnology · 2024Article
- Differential antiangiogenic and anticancer activities of the active metabolites of ginsenoside Rg3.Journal of ginseng research · 2024Article
- Ginsenoside Rg3 decreases breast cancer stem-like phenotypes through impairing MYC mRNA stability.American journal of cancer research · 2024Article
- Ginsenosides: changing the basic hallmarks of cancer cells to achieve the purpose of treating breast cancer.Chinese medicine · 2023Review
- The ways for ginsenoside Rh2 to fight against cancer: the molecular evidencesJournal of ginseng research · 2023Review
- Improvement of tissue-specific distribution and biotransformation potential of nicotinamide mononucleotide in combination with ginsenosides or resveratrol.Pharmacology research & perspectives · 2022Article
- Effect of Lactic Acid Bacteria on the Pharmacokinetics and Metabolism of Ginsenosides in Mice.Pharmaceutics · 2021Article
- Insights into the antitumor mechanism of ginsenosides Rg3.Molecular biology reports · 2021Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAcquired resistance is a bottleneck that restricts the efficacy of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) for lung cancer. Ginsenoside Rg3 is an antiangiogenic agent which can down-regulate the expressions of vascular endothelial growth factor (VEGF) and EGFR. Combination of EGFR-TKI and ginsenoside Rg3 may be a promising strategy to delay acquired resistance. This retrospective study explored the efficacy and safety of this combined regimen in patients with EGFR mutation and advanced non-small cell lung cancer (NSCLC).
resultsBy the deadline of March 31th 2016, the median follow-up period reached 22.9 months. The median PFS was significantly longer in group A than in group B (12.4 months vs 9.9 months, P = 0.017). In addition, ORR was significantly higher in group A than in group B (59.6% vs 41.7%, P = 0.049). The median OS in group A showed no extended tendency compared with that in group B (25.4 months vs 21.4 months, P = 0.258). No significant difference in side effects was found between the two groups.
methodsA total of 124 patients with advanced NSCLC and EGFR active mutation were collected and analyzed. All of them were treated with first-line EGFR-TKI and divided into two groups. In group A (n=52), patients were administered EGFR-TKI plus ginsenoside Rg3 at standard doses. In group B (n=72), patients received EGFR-TKI alone. Progression-free survival (PFS), overall survival (OS), objective response rate (ORR) and side effects were analyzed.
conclusionsGinsenoside Rg3 improves median PFS and ORR of first-line EGFR-TKI treatment in EGFR-mutant advanced NSCLC patients, thus providing a new regimen to delay acquired resistance of EGFR-TKI.
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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.