ReviewNutrition & metabolism2026
Natural bioactive molecules and chemotherapeutics synergism for enhanced cancer therapy.
Review in Nutrition & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Epigallocatechin Gallate Modulates the Cellular Response to Doxorubicin in HeLa Cervical Cancer Cells.Biomolecules · 2026Article
- A Multifunctional Chitosan-Coated Ciprofloxacin-Luteolin Lipid Nanoplatform for Photodynamic Therapy of Prostatic Cancer.International journal of molecular sciences · 2026Article
- Natural Medicines Modulating Tumor Perineural Invasion: Regulatory Mechanisms and Therapeutic Potential.Drug design, development and therapy · 2026Review
- Natural compounds targeting glycolysis and TME in ovarian cancer: from metabolic crosstalk to therapeutic potential.Frontiers in pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChemotherapy remains a foundation of cancer care but is limited by multidrug resistance, systemic toxicities, and suboptimal selectivity, prompting interest in adjunctive strategies that improve efficacy and tolerability without adding significant burden to patients or healthcare systems. AIMS/
objectivesThis review highlights evidence on natural bioactive compounds, including polyphenols, alkaloids, terpenoids, and fungal metabolites, as adjuvants to standard chemotherapeutics, with objectives to: first, delineate mechanisms by which these agents enhance cytotoxic efficacy and overcome resistance; second, summarize preclinical and clinical combination data; and third, evaluate their potential to mitigate chemotherapy-induced organ toxicities through pathway modulation.
resultsNatural bioactives modulate key oncogenic and stress-response pathways, such as NF-κB, PI3K/AKT/mTOR, and NRF2/HO-1, thereby sensitizing tumors to chemotherapy, attenuating pro-survival signaling, and enhancing apoptosis while reducing inflammatory and oxidative injury in normal tissues. Exemplary combinations, including curcumin with 5‑fluorouracil and resveratrol with cisplatin, have demonstrated improved antitumor activity and reduced toxicity in preclinical models, with early clinical observations supporting feasibility and safety in selected settings. Additionally, several compounds exhibit organ-protective effects against cardiotoxicity, nephrotoxicity, neurotoxicity, and gastrointestinal injury induced by chemotherapy, suggesting dual benefits on efficacy and tolerability profiles.
conclusionsIntegrating natural bioactives with conventional chemotherapy represents a promising strategy to enhance therapeutic index by concurrently amplifying antitumor mechanisms and mitigating dose‑limiting toxicities, though broader clinical validation and standardized quality controls are needed for routine adoption.
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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.