ReviewMolecular cancer2017
Novel insights into chromosomal conformations in cancer.
Review in Molecular cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
22 citing papers in PubMed.
- Identification of protein-coding genes associated with metastatic prostate cancer.Endocrine-related cancer · 2025Article
- The role of super-enhancer-driven lncRNAs in cancer.Computational and structural biotechnology journal · 2025Review
- Obtention of viable cell suspensions from breast cancer tumor biopsies for 3D chromatin conformation and single-cell transcriptome analysis.Frontiers in molecular biosciences · 2024Article
- eRNA co-expression network uncovers TF dependency and convergent cooperativity.Scientific reports · 2023Article
- Coherent pathway enrichment estimation by modeling inter-pathway dependencies using regularized regression.Bioinformatics (Oxford, England) · 2023Article
- Super-enhancers complexes zoom in transcription in cancer.Journal of experimental & clinical cancer research : CR · 2023Review
- Epigenetic Regulation of MAP3K8 in EBV-Associated Gastric Carcinoma.International journal of molecular sciences · 2023Article
- Molecular mechanisms of multi-omic regulation in breast cancer.Frontiers in oncology · 2023Review
- Direct imaging of intracellular RNA, DNA, and liquid-liquid phase separated membraneless organelles with Raman microspectroscopy.Communications biology · 2022Article
- Bioinformatics Methods for Modeling microRNA Regulatory Networks in Cancer.Advances in experimental medicine and biology · 2022Article
- 3D Genome Organization as an Epigenetic Determinant of Transcription Regulation in T Cells.Frontiers in immunology · 2022Review
- Hexavalent chromium promotes differential binding of CTCF to its cognate sites in Euchromatin.Epigenetics · 2021Article
- Review
- Hi-C implementation of genome structure for in silico models of radiation-induced DNA damage.PLoS computational biology · 2020Article
- Computational Oncology in the Multi-Omics Era: State of the Art.Frontiers in oncology · 2020Review
- Review
- Dysregulated Transcriptional Control in Prostate Cancer.International journal of molecular sciences · 2019Review
- Prognostic and Predictive Epigenetic Biomarkers in Oncology.Molecular diagnosis & therapy · 2019Review
- Chromosome Conformation Capture Reveals Two Elements That Interact with theInternational journal of molecular sciences · 2019Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Exploring gene function is critical for understanding the complexity of life. DNA sequences and the three-dimensional organization of chromatin (chromosomal interactions) are considered enigmatic factors underlying gene function, and interactions between two distant fragments can regulate transactivation activity via mediator proteins. Thus, a series of chromosome conformation capture techniques have been developed, including chromosome conformation capture (3C), circular chromosome conformation capture (4C), chromosome conformation capture carbon copy (5C), and high-resolution chromosome conformation capture (Hi-C). The application of these techniques has expanded to various fields, but cancer remains one of the major topics. Interactions mediated by proteins or long noncoding RNAs (lncRNAs) are typically found using 4C-sequencing and chromatin interaction analysis by paired-end tag sequencing (ChIA-PET). Currently, Hi-C is used to identify chromatin loops between cancer risk-associated single-nucleotide polymorphisms (SNPs) found by genome-wide association studies (GWAS) and their target genes. Chromosomal conformations are responsible for altered gene regulation through several typical mechanisms and contribute to the biological behavior and malignancy of different tumors, particularly prostate cancer, breast cancer and hematologic neoplasms. Moreover, different subtypes may exhibit different 3D-chromosomal conformations. Thus, C-tech can be used to help diagnose cancer subtypes and alleviate cancer progression by destroying specific chromosomal conformations. Here, we review the fundamentals and improvements in chromosome conformation capture techniques and their clinical applications in cancer to provide insight for future research.
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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.