ReviewThe AAPS journal2013
Epigenetic cancer prevention mechanisms in skin cancer.
Review in The AAPS journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 35 citations in OpenAlex.
- Review
- Epigenetics in Skin Homeostasis and Ageing.Epigenomes · 2025Review
- A pilot study on the efficacy of a telomerase activator in regulating the proliferation of A375 skin cancer cell line.Molecular biology reports · 2024Article
- Natural Compounds in Non-Melanoma Skin Cancer: Prevention and Treatment.Molecules (Basel, Switzerland) · 2024Review
- Sulforaphane inhibits CD44v6/YAP1/TEAD signaling to suppress the cancer phenotype.Molecular carcinogenesis · 2023Article
- Phytochemicals as Immunomodulatory Agents in Melanoma.International journal of molecular sciences · 2023Review
- DNA Methylome and Transcriptome Study of Triterpenoid CDDO in TPA-Mediated Skin Carcinogenesis Model.The AAPS journal · 2022Article
- Epigenetics/epigenomics of triterpenoids in cancer prevention and in health.Biochemical pharmacology · 2020Review
- Fasting and Its Impact on Skin Anatomy, Physiology, and Physiopathology: A Comprehensive Review of the Literature.Nutrients · 2019Review
- Chemopreventive activity of sulforaphane.Drug design, development and therapy · 2018Review
- Anticancer Natural Compounds as Epigenetic Modulators of Gene Expression.Current genomics · 2017Review
- Epigenetic modifications of triterpenoid ursolic acid in activating Nrf2 and blocking cellular transformation of mouse epidermal cells.The Journal of nutritional biochemistry · 2016Article
- MEP50/PRMT5 Reduces Gene Expression by Histone Arginine Methylation and this Is Reversed by PKCδ/p38δ Signaling.The Journal of investigative dermatology · 2016Article
- Fatty acid synthase methylation levels in adipose tissue: effects of an obesogenic diet and phenol compounds.Genes & nutrition · 2014Article
- Epigenetics of Dietary Phytochemicals in Cancer Prevention: Fact or Fiction.Cancer journal (Sudbury, Mass.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Epigenetics is an important emerging area for study of mechanisms of cancer prevention. In recent years, it has been realized that cancer prevention agents, derived from natural dietary sources, impact cancer cell survival by modulating epigenetic processes. In the present manuscript, we review key epigenetic regulatory mechanisms and examine the impact of sulforaphane and green tea polyphenols on these processes. We also discuss available information on the epigenetics in the context of skin cancer. These studies indicate that diet-derived chemopreventive agents modulate DNA methylation status and histone modification via multiple processes and point to additional areas for study of epigenetic mechanisms in skin cancer.
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.