ReviewNature reviews. Cancer2023
Long-range gene regulation in hormone-dependent cancer.
Review in Nature reviews. Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 18 citations in OpenAlex.
- NMR Structural Elucidation of Mitoxantrone-Gonadotropin-Releasing Hormone (GnRH) Conjugates Implicated in Hormone-Dependent Cancer.International journal of molecular sciences · 2026Article
- Chromatin architecture reprogramming reveals novel epigenetic dependencies in breast cancer.Genes & development · 2026Article
- Mechanistic dissection of GRHL2 and PR transcriptional co-regulation in breast cells.PLoS genetics · 2026Article
- The multimerization pathway of the glucocorticoid receptor.Nucleic acids research · 2025Article
- CRISPR screening reveals that RNA helicase DDX41 triggers ribosome biogenesis and cancer progression through R-loop-mediated RPL/RPS transcription.Nature communications · 2025Article
- Structural proteomics defines a sequential priming mechanism for the progesterone receptor.Nature communications · 2025Article
- Single-Molecule Studies with AFM and High-Speed AFM: From Nucleosomes to Chromosomes.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Epigenetic pharmacology in aging: from mechanisms to therapies for age-related disorders.Frontiers in pharmacology · 2025Review
- Review
- MMP3C: an in-silico framework to depict cancer metabolic plasticity using gene expression profiles.Briefings in bioinformatics · 2023Article
- Multiple Roles of dXNP and dADD1-International journal of molecular sciences · 2023Review
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
No grant is acknowledged in the PubMed record.
Abstract
The human genome is organized into multiple structural layers, ranging from chromosome territories to progressively smaller substructures, such as topologically associating domains (TADs) and chromatin loops. These substructures, collectively referred to as long-range chromatin interactions (LRIs), have a significant role in regulating gene expression. TADs are regions of the genome that harbour groups of genes and regulatory elements that frequently interact with each other and are insulated from other regions, thereby preventing widespread uncontrolled DNA contacts. Chromatin loops formed within TADs through enhancer and promoter interactions are elastic, allowing transcriptional heterogeneity and stochasticity. Over the past decade, it has become evident that the 3D genome structure, also referred to as the chromatin architecture, is central to many transcriptional cellular decisions. In this Review, we delve into the intricate relationship between steroid receptors and LRIs, discussing how steroid receptors interact with and modulate these chromatin interactions. Genetic alterations in the many processes involved in organizing the nuclear architecture are often associated with the development of hormone-dependent cancers. A better understanding of the interplay between architectural proteins and hormone regulatory networks can ultimately be exploited to develop improved approaches for cancer treatment.
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.