ReviewF1000Research2018
The Art of War: harnessing the epigenome against cancer.
Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 26 citations in OpenAlex.
- Unraveling cellular dynamic changes in tumor evolution induced by long-term low dose-rate radiation.British journal of cancer · 2025Article
- Centromere inactivation during aging can be rescued in human cells.Molecular cell · 2025Article
- Single-Molecule Studies with AFM and High-Speed AFM: From Nucleosomes to Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2025Article
- The Impact of DAXX, HJURP and CENPA Expression in Uveal Melanoma Carcinogenesis and Associations with Clinicopathological Parameters.Biomedicines · 2024Article
- Review
- Crowberry inhibits cell proliferation and migration through a molecular mechanism that includes inhibition of DEK and Akt signaling in cholangiocarcinoma.Chinese medicine · 2022Article
- Oncogenic lncRNAs alter epigenetic memory at a fragile chromosomal site in human cancer cells.Science advances · 2022Article
- Histones and their chaperones: Adaptive remodelers of an ever-changing chromatinic landscape.Frontiers in genetics · 2022Review
- Epigenetic Regulation of TET1-SP1 During Spermatogonia Self-Renewal and Proliferation.Frontiers in physiology · 2022Article
- Aberrant chromatin landscape following loss of the H3.3 chaperone Daxx in haematopoietic precursors leads to Pu.1-mediated neutrophilia and inflammation.Nature cell biology · 2021Article
- Dynamic Activity of Histone H3-Specific Chaperone Complexes in Oncogenesis.Frontiers in oncology · 2021Review
- Zebrafish Cancer Predisposition Models.Frontiers in cell and developmental biology · 2021Review
- Back-spliced RNA from retrotransposon binds to centromere and regulates centromeric chromatin loops in maize.PLoS biology · 2020Article
- A three layered histone epigenetics in breast cancer metastasis.Cell & bioscience · 2020Review
- Localization of Drosophila CENP-A to non-centromeric sites depends on the NuRD complex.Nucleic acids research · 2019Article
- HJURP antagonizes CENP-A mislocalization driven by the H3.3 chaperones HIRA and DAXX.PloS one · 2018Article
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 1 institution in 1 country.
Funding
Abstract
Histone chaperones are indispensable regulators of chromatin structure and function. Recent work has shown that they are frequently mis-regulated in cancer, which can have profound consequences on tumor growth and survival. Here, we focus on chaperones for the essential H3 histone variants H3.3 and CENP-A, specifically HIRA, DAXX/ATRX, DEK, and HJURP. This review summarizes recent studies elucidating their roles in regulating chromatin and discusses how cancer-specific chromatin interactions can be exploited to target cancer cells.
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.