ArticleNature communications2021
Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Towards implementation of precision medicine biomarkers in early detection and prognostication of prostate cancer.Cancer metastasis reviews · 2026Review
- Integrating Multi-Omics Atlas to Uncover Genetic and Epigenetic Mechanisms and Reveal Cell State Evolution Across Ecotypes in Male Urological Cancers.International journal of molecular sciences · 2026Article
- Epigenomics-guided precision oncology: Chromatin variants in prostate tumor evolution.International journal of cancer · 2026Review
- Chromatin remodeling restrains oncogenic functions in prostate cancer.Nature communications · 2025Article
- Multi-layer stratified oncology platform utilizing transcriptomics, prostate cancer organoids, and modeling of drug response.Journal of experimental & clinical cancer research : CR · 2025Article
- Evaluation of potential prognostic significance of JUNB in human prostate cancer: a bioinformatic and histopathological study.Journal of pathology and translational medicine · 2025Article
- Interpretable and integrative analysis of single-cell multiomics with scMKL.Communications biology · 2025Article
- Prostate cancer epigenetics - from pathophysiology to clinical application.Nature reviews. Urology · 2025Review
- Identification and characterization of mitochondrial autophagy-related genes in osteosarcoma and predicting clinical prognosis.Scientific reports · 2025Article
- Sympathetic nerve signaling rewires the tumor microenvironment: a shift in "microenvironmental-ity".Cancer metastasis reviews · 2025Review
- Article
- Multiplex imaging of localized prostate tumors reveals altered spatial organization of AR-positive cells in the microenvironment.iScience · 2024Article
- Review
- Integrative multi-omics and drug-response characterization of patient-derived prostate cancer primary cells.Signal transduction and targeted therapy · 2023Article
- An Overview of the Molecular Cues and Their Intracellular Signaling Shared by Cancer and the Nervous System: From Neurotransmitters to Synaptic Proteins, Anatomy of an All-Inclusive Cooperation.International journal of molecular sciences · 2022Review
- Review
- Patterns of indolence in prostate cancer (Review).Experimental and therapeutic medicine · 2022Review
- The most effective but largely ignored target for prostate cancer early detection and intervention.Journal of Cancer · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Identifying precise molecular subtypes attributable to specific stages of localized prostate cancer has proven difficult due to high levels of heterogeneity. Bulk assays represent a population-average, which mask the heterogeneity that exists at the single-cell level. In this work, we sequence the accessible chromatin regions of 14,424 single-cells from 18 flash-frozen prostate tumours. We observe shared chromatin features among low-grade prostate cancer cells are lost in high-grade tumours. Despite this loss, high-grade tumours exhibit an enrichment for FOXA1, HOXB13 and CDX2 transcription factor binding sites, indicating a shared trans-regulatory programme. We identify two unique genes encoding neuronal adhesion molecules that are highly accessible in high-grade prostate tumours. We show NRXN1 and NLGN1 expression in epithelial, endothelial, immune and neuronal cells in prostate cancer using cyclic immunofluorescence. Our results provide a deeper understanding of the active gene regulatory networks in primary prostate tumours, critical for molecular stratification of the disease.
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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.