ReviewCell stress2020
Immune system activation by natural products and complex fractions: a network pharmacology approach in cancer treatment.
Review in Cell stress, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Phytochemical study ofPharmaceutical biology · 2026Article
- Distributed Pharmacodynamic Architecture in Multi-Component Herbal Formulations: A Flux-Based Framework for Redox-Heterogeneous Diseases.Pharmaceutics · 2026Review
- Pharmacological Insights and Technological Innovations inPharmaceuticals (Basel, Switzerland) · 2026Review
- Immunomodulatory Natural Products in Cancer Organoid-Immune Co-Cultures: Bridging the Research Gap for Precision Immunotherapy.International journal of molecular sciences · 2025Review
- Modulation of Tumor Metabolism in Acute Leukemia by Plant-Derived Polymolecular Drugs and Their Effects on Mitochondrial Function.Molecules (Basel, Switzerland) · 2025Article
- Ethanol inhibits the growth and metastasis of hepatocellular carcinoma by inducing immunogenic cell death.Journal for immunotherapy of cancer · 2025Article
- AnFrontiers in pharmacology · 2024Article
- Article
- Terpenes-Modified Lipid Nanosystems for Temozolomide, Improving Cytotoxicity against Glioblastoma Human Cancer Cells In Vitro.Nanomaterials (Basel, Switzerland) · 2023Article
- Natural Products Induce Different Anti-Tumor Immune Responses in Murine Models of 4T1 Mammary Carcinoma and B16-F10 Melanoma.International journal of molecular sciences · 2023Article
- Piper nigrum extract suppresses tumor growth and enhances the antitumor immune response in murine models of breast cancer and melanoma.Cancer immunology, immunotherapy : CII · 2023Article
- Modulation of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment by Natural Products.Archivum immunologiae et therapiae experimentalis · 2023Review
- The Sesquiterpene Lactone-Rich Fraction ofCancers · 2023Article
- Rise of the natural red pigment 'prodigiosin' as an immunomodulator in cancer.Cancer cell international · 2022Review
- Article
- Augmented Antitumor Effect of UnripeCells · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural products and traditional herbal medicine are an important source of alternative bioactive compounds but very few plant-based preparations have been scientifically evaluated and validated for their potential as medical treatments. However, a promising field in the current therapies based on plant-derived compounds is the study of their immunomodulation properties and their capacity to activate the immune system to fight against multifactorial diseases like cancer. In this review we discuss how network pharmacology could help to characterize and validate natural single molecules or more complex preparations as promising cancer therapies based on their multitarget capacities.
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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.