Evidence map›Paper›PMID 41169259›Full record

ReviewBiomolecules & therapeutics2025

DOT1L as a Therapeutic Target: Insights into Epigenetic Regulation and Cancer Treatment.

Hee-Joo Choi, Minh Tuan Nguyen, Boram Kim, Seung Hwan Kim, Jaehee Kim, Jeong-Yeon Lee, Mi Kyung Park

Abstract readReview
In one paragraph

Review in Biomolecules & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hee-Joo ChoiDepartment of Pathology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Minh Tuan NguyenPharmaceutical Biochemistry, College of Pharmacy, Dongguk University, Goyang 04620, Republic of Korea.
Boram KimPharmaceutical Biochemistry, College of Pharmacy, Dongguk University, Goyang 04620, Republic of Korea.
Seung Hwan KimDepartment of Biomedical Science, Hwasung Medi-Science University, Hwaseong 18274, Republic of Korea.
Jaehee KimDepartment of Biomedical Science, Hwasung Medi-Science University, Hwaseong 18274, Republic of Korea.
Jeong-Yeon LeeDepartment of Pathology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Mi Kyung ParkDepartment of Biomedical Science, Hwasung Medi-Science University, Hwaseong 18274, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disruptor of Telomeric Silencing 1-Like (DOT1L) has emerged as a critical epigenetic regulator in cancer, primarily because of its role as the sole histone methyltransferase responsible for histone H3 at lysine 79 methylation. This modification affects transcriptional activation, DNA repair, and cell cycle progression. Its dysregulation is associated with both hematological and solid tumors. In Mixed-lineage leukemia (MLL)-rearranged leukemia, DOT1L maintains aberrant gene expression patterns at loci such as HOXA and MEIS1, supporting leukemic stem cell survival and driving oncogenesis. In solid tumors, DOT1L influences diverse processes, including epithelial-mesenchymal transition, angiogenesis, and cell cycle regulation, contributing to tumor growth and metastasis. Therapeutic strategies targeting DOT1L using inhibitors, such as EPZ-5676, have shown promise in preclinical and clinical studies, highlighting their potential as versatile targets for precision oncology. This review summarizes the recent findings on DOT1L's involvement in cancer development and its potential as a therapeutic target.

Indexed as

Epigenetic regulationH3K79 methylationHistone methyltransferaseTargeted cancer therapy

Identifiers

PMID41169259
PMCPMC12580633

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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.