Potential Mechanisms of Action for Vitamin C in Cancer: Reviewing the Evidence
Open accessAbstract
Whether vitamin C (ascorbate) has a role to play as an anti-cancer agent has been debated for decades. Ascorbate has been used by cancer patients in an unregulated environment, either as a dietary supplement or in pharmacological doses administered by infusion, with numerous reports of clinical benefit, but in the absence of rigorous clinical trial data. The design of appropriate clinical trials has been hindered by a lack of understanding of the mechanism(s) of action that would inform the choice of effective dose, timing of administration and likely responsive cancer models. More recently, expanded understanding of the biological activities of ascorbate has led to a number of plausible hypotheses for mechanisms of anti-cancer activity. Prominent among these are the generation of significant quantities of hydrogen peroxide by the autoxidation of supra-physiological concentrations of ascorbate and stimulation of the 2-oxoglutarate-dependent dioxygenase family of enzymes (2-OGDDs) that have a cofactor requirement for ascorbate. Hydrogen peroxide generation is postulated to generate oxidative stress that preferentially targets cancer cells. The 2-OGDDs include the hydroxylases that regulate the hypoxic response, a major driver of tumor survival, angiogenesis, stem cell phenotype and metastasis, and the epigenetic histone and DNA demethylases. The latter are of particular interest, with recent studies suggesting a promising role for ascorbate in the regulation of the ten-eleven translocases (TET) DNA demethylases in hematological cancers. Support for these proposed mechanisms has come from many in vitro studies, and xenograft animal models have consistently shown an anti-cancer effect of ascorbate administration. However, decisive evidence for any particular mechanism(s) of action is not yet available from an in vivo setting. With a number of early phase clinical trials currently underway, evidence for potential mechanism(s) of action is required to inform the most appropriate study design and choice of cancer model. Hopefully such information will result in sound clinical data that will avert adding any further controversy to this already contentious debate.
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Ascorbate may boost HIF hydroxylase activity, lowering HIF1α activity and restraining tumour growth.
“This implies that ascorbate treatment may enhance the activity of HIF hydroxylases, thus inhibiting HIF1α activity and suppressing tumour growth77.”
From Targeting cancer vulnerabilities with high-dose vitamin C (2019) · cites this paper as [77]
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- Authors
- Vissers, M. C. M., & Das, A. B.
- Affiliations
- University of Otago (NZ)
- Corresponding author
- Vissers, Margreet C. M.
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2018-07-03
- Volume
- 9
- Pages
- 809-809
- ISSN
- 1664-042X (ISSN-L)
- PMC
- PMC6037948
- OpenAlex
- W2807800532
- Cited by
- 188
- References
- 191
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 34 · 2023: 21 · 2022: 26 · 2021: 39 · 2020: 28 · 2019: 10 · 2018: 4
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Physiology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Otago
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Vitamin C and Antioxidants Research
- Health Sciences › Medicine › Biochemistry › Antioxidant Activity and Oxidative Stress
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer and biochemical research
- Keywords
- vitamin C, anticancer mechanism, hydrogen peroxide, 2-oxoglutarate-dependent dioxygenase, oxidative stress, tumor hypoxia, hydroxylase, DNA demethylase, hematologic cancer, dietary supplements, clinical trial design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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