SynthesisReproductive sciences (Thousand Oaks, Calif.)2021
Long Non-coding RNA NEAT1 as an Emerging Biomarker in Breast and Gynecologic Cancers: a Systematic Overview.
Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Differential expression of NEAT1 and miR-506-3p in triple-negative breast cancer: potential tissue-based diagnostic biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Antisense oligonucleotides: targeting oncogenic long non-coding RNAs for cancer therapy.Biotechnology letters · 2026Review
- Rewiring cancer epigenome: lncRNA as modulator of chromatin architecture and neoplastic transformation.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- LncRNA-miRNA-mRNA regulatory axes as potential biomarkers in cervical cancer: a comprehensive overview.Molecular biology reports · 2025Review
- Molecular Mechanisms of Tumorgenesis and Metastasis of Long Non-coding RNA (lncRNA) NEAT1 in Human Solid Tumors; An Update.Cell biochemistry and biophysics · 2024Review
- The regulation of hypoxia-related lncRNAs in hepatocellular carcinoma.Discover oncology · 2024Review
- Unraveling NEAT1's complex role in lung cancer biology: a comprehensive review.EXCLI journal · 2024Review
- Emerging roles of the long non-coding RNA NEAT1 in gynecologic cancers.Journal of cell communication and signaling · 2023Review
- The mechanisms and diagnostic potential of lncRNAs, miRNAs, and their related signaling pathways in cervical cancer.Frontiers in cell and developmental biology · 2023Review
- Assessing the suitability of long non-coding RNAs as therapeutic targets and biomarkers in SARS-CoV-2 infection.Frontiers in molecular biosciences · 2022Review
- Review
- ADSC Exosomes Mediate lncRNA-MIAT Alleviation of Endometrial Fibrosis by Regulating miR-150-5p.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) are emerging regulators of cellular pathways, especially in cancer development. Among the lncRNAs, nuclear paraspeckle assembly transcript 1 (NEAT1) forms a scaffold for a nuclear body; the paraspeckle and aberrant expression of NEAT1 have been reported in breast and gynecologic cancers (ovarian, cervical, endometrial, and vulvar). Abundantly expressed NEAT1 in breast and gynecologic cancers generally contribute to tumor development by sponging its corresponding tumor-suppressive microRNAs or interacting with various regulatory proteins. The distinct expression of NEAT1 and its contribution to tumorigenic pathways make it a promising therapeutic target in breast and gynecologic cancers. Herein, we summarize the functions and molecular mechanisms of NEAT1 in human breast, ovarian, cervical, endometrial, and vulvar cancers. Furthermore, we emphasize its critical role in the formation of paraspeckle development and its functions. Conclusively, NEAT1 is a considerable biomarker with a bright prospect and can be therapeutically targeted to manage breast and gynecologic cancers.
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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.