Pharmacoepigenetics of Novel Nucleoside DNA Methyltransferase Inhibitors

Daifuku, Richard

doi:10.1016/b978-0-12-813939-4.00007-3

Cited by 4 publications

(2 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Guadecitabine is a drug that belongs to the class of hypomethylating agents and is used for the treatment of various types of cancer, including myelodysplastic syndromes and acute myeloid leukemia. It works by incorporating into DNA and inhibiting the activity of DNA methyltransferase ( Daifuku, 2019 ).…”

Section: Dna Methylation Biomarkers Of Meningiomasmentioning

confidence: 99%

DNA methylation meningioma biomarkers: attributes and limitations

Gao

Zhang

et al. 2023

Front. Mol. Neurosci.

View full text Add to dashboard Cite

Meningioma, one of the most common primary central nervous system tumors, are classified into three grades by the World Health Organization (WHO) based on histopathology. The gold-standard treatment, surgical resection, is hampered by issues such as incomplete resection in some cases and a high recurrence rate. Alongside genetic alterations, DNA methylation, plays a crucial role in progression of meningiomas in the occurrence and development of meningiomas. The epigenetic landscape of meningioma is instrumental in refining tumor classification, identifying robust molecular markers, determining prognosis, guiding treatment selection, and innovating new therapeutic strategies. Existing classifications lack comprehensive accuracy, and effective therapies are limited. Methylated DNA markers, exhibiting differential characteristics across varying meningioma grades, serve as invaluable diagnostic tools. Particularly, combinatorial methylated markers offer insights into meningioma pathogenesis, tissue origin, subtype classification, and clinical outcomes. This review integrates current research to highlight some of the most promising DNA and promoter methylation markers employed in meningioma diagnostics. Despite their promise, the development and application of DNA methylation biomarkers for meningioma diagnosis and treatment are still in their infancy, with only a handful of DNA methylation inhibitors currently clinically employed for meningioma treatment. Future studies are essential to validate these markers and ascertain their clinical utility. Combinatorial methylated DNA markers for meningiomas have broad implications for understanding tumor development and progression, signaling a paradigm shift in therapeutic strategies for meningiomas.

show abstract

Section: Dna Methylation Biomarkers Of Meningiomasmentioning

confidence: 99%

DNA methylation meningioma biomarkers: attributes and limitations

Gao

Zhang

et al. 2023

Front. Mol. Neurosci.

View full text Add to dashboard Cite

show abstract

“…Fifteen reverse degree-based topological indices were used for modeling antiviral activity and eight physicochemical properties, such as boiling point (BP), enthalpy of vaporization (E), flash point (P), molar refraction (MR), polar surface area (PSA), polarizability (P), surface tension (T), and molar volume (MV) of Azacitidine, Decitabine, and Guadecitabine. The values for the various physicochemical properties, as presented in By using equations (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15), the reverse degree-based topological indices of Azacitidine, Decitabine, and Guadecitabine are computed to design the QSPR. Table 5 shows the value of reverse degree-based topological indices of Azacitidine, Decitabine, and Guadecitabine.…”

Section: Reverse Topological Indices Of Guadecitabinementioning

confidence: 99%

Degree-Based Topological Indices and QSPR Analysis of Antituberculosis Drugs

Adnan

Bokhary

Abbas

et al. 2022

Journal of Chemistry

View full text Add to dashboard Cite

A topological index of graph G is a numerical quantity which describes its topology. If it is applied to molecular structure of a chemical compounds, then it reflects the theoretical properties of the chemical compounds. In this paper, well-known degree-based topological indices are applied on chemical structures of antituberculosis drugs. Chemical structure is considered as graph, where elements are taken as vertices and bounds between them are taken as edges. Furthermore, QSPR analysis of the said topological indices are discussed, and it is shown that these topological indices are highly correlated with the physical properties of antituberculosis drugs. This theocratical analysis may help the chemist and people working in pharmaceutical industry to predict properties of antituberculosis drugs without experimenting.

show abstract