ArticleAmerican journal of human genetics2017
Long Noncoding RNAs CUPID1 and CUPID2 Mediate Breast Cancer Risk at 11q13 by Modulating the Response to DNA Damage.
Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed, 97 citations in OpenAlex.
- Review
- Long non-coding RNAs as modulators of endocrine therapy response in hormone receptor-positive breast cancer.Molecular biology reports · 2026Review
- Non-coding RNAs as regulators of chromosomal instability in breast cancer.Frontiers in oncology · 2026Review
- Decoding Breast Cancer: Emerging Molecular Biomarkers and Novel Therapeutic Targets for Precision Medicine.International journal of molecular sciences · 2025Review
- A Snapshot of the Role of Estrogen-Regulated Divergent Non-Coding Transcripts.Clinical and translational discovery · 2025Article
- Role of exercise on the reduction of cancer development: a mechanistic review from the lncRNA point of view.Clinical and experimental medicine · 2025Review
- GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers.PLoS genetics · 2024Article
- New role of fat-free mass in cancer risk linked with genetic predisposition.Scientific reports · 2024Article
- Review
- LINC00240 in the 6p22.1 risk locus promotes gastric cancer progression through USP10-mediated DDX21 stabilization.Journal of experimental & clinical cancer research : CR · 2023Article
- CRISPR screens identify gene targets at breast cancer risk loci.Genome biology · 2023Article
- Hybrid-seq deciphers the complex transcriptional profile of the humanRNA biology · 2023Article
- rs217727 of lncRNA H19 is Associated with Cervical Cancer Risk in the Chinese Han Population.Pharmacogenomics and personalized medicine · 2023Article
- Subtype and cell type specific expression of lncRNAs provide insight into breast cancer.Communications biology · 2022Article
- Functional annotation of breast cancer risk loci: current progress and future directions.British journal of cancer · 2022Review
- Computational detection of a genome instability-derived lncRNA signature for predicting the clinical outcome of lung adenocarcinoma.Cancer medicine · 2022Article
- Characterization of tumor immune microenvironment and cancer therapy for head and neck squamous cell carcinoma through identification of a genomic instability-related lncRNA prognostic signature.Frontiers in genetics · 2022Article
- Development of a Genomic Instability-Derived lncRNAs-Based Risk Signature as a Predictor of Prognosis for Endometrial Cancer.Journal of Cancer · 2022Article
- Review
- Long Non-Coding RNAs at the Chromosomal Risk Loci Identified by Prostate and Breast Cancer GWAS.Genes · 2021Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer risk is strongly associated with an intergenic region on 11q13. We have previously shown that the strongest risk-associated SNPs fall within a distal enhancer that regulates CCND1. Here, we report that, in addition to regulating CCND1, this enhancer regulates two estrogen-regulated long noncoding RNAs, CUPID1 and CUPID2. We provide evidence that the risk-associated SNPs are associated with reduced chromatin looping between the enhancer and the CUPID1 and CUPID2 bidirectional promoter. We further show that CUPID1 and CUPID2 are predominantly expressed in hormone-receptor-positive breast tumors and play a role in modulating pathway choice for the repair of double-strand breaks. These data reveal a mechanism for the involvement of this region in breast cancer.
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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.