Evidence map›Paper›PMID 39837580›Full record

ReviewCancer science2025

Treating Hematological Malignancies With OR-2100, an Orally Bioavailable Prodrug of Decitabine.

Tatsuro Watanabe, Keisuke Kidoguchi, Shinya Kimura

Erratum issuedAbstract readReview
In one paragraph

Review in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Tatsuro WatanabeDepartment of Drug Discovery and Biomedical Sciences, Faculty of Medicine, Saga University, Saga, Japan.ORCID https://orcid.org/0000-0002-4166-4781
Keisuke KidoguchiDepartment of Drug Discovery and Biomedical Sciences, Faculty of Medicine, Saga University, Saga, Japan.
Shinya KimuraDepartment of Drug Discovery and Biomedical Sciences, Faculty of Medicine, Saga University, Saga, Japan.ORCID https://orcid.org/0000-0003-1717-6208

Funding

JSPS KAKENHI 17H06956JSPS KAKENHI 20K07593JSPS KAKENHI 23K06744Nippon ShinyakuOHARA Pharmaceutical Co LtdShinnihon Foundation of Advanced Medical Treatment ResearchYasuda Memorial Medical Foundation
6 · The paper itself

Abstract

DNA methylation is an enzyme-driven epigenetic modification that must be precisely regulated to maintain cellular homeostasis. Aberrant methylation status, especially hypermethylation of the promoter sites of tumor-suppressor genes, is observed in human malignancies and is a proven target for cancer therapy. The first-generation DNA demethylating agents, azacitidine and decitabine, are widely used for treating several hematological malignancies. In addition, orally bioavailable prodrugs of azacitidine and decitabine have recently been approved by the FDA. We have developed a silylated derivative of decitabine, OR-2100, which is resistant to degradation by cytidine deaminase and orally bioavailable. It has efficacy against several human hematological malignancies in xenograft mouse models with less hematotoxicity than decitabine. Since DNA demethylating agents are combined with molecularly targeted drugs in clinical use and trials, we think that the less hematotoxic profile of OR-2100 makes it suitable for use as a combination therapy. In this article, we review the therapeutic approach in hematological malignancies with the DNA demethylating agent OR-2100.

Indexed as

Antimetabolites, AntineoplasticAzacitidineHematologic NeoplasmsProdrugsAdministration, OralAnimalsDecitabineDNA MethylationHumansMiceXenograft Model Antitumor AssaysAntimetabolites, AntineoplasticAzacitidineDecitabineProdrugscombination therapyDNA demethylating agentsDNA methylationhematological malignanciesprodrug

Identifiers

PMID39837580
PMCPMC11967254

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Registered trials

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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.