Observational studyMedicine2020
Role of long non-coding RNA NEAT1 in the prognosis of prostate cancer patients.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 21 citations in OpenAlex.
- Potential influence of long non-coding RNAJournal of Cancer · 2026Article
- A comparison of the expression patterns and diagnostic capability of the ncRNAs NEAT1 and miR-34a in non-obstructive azoospermia and severe oligospermia.Human genomics · 2025Article
- The role of lncRNA NEAT1 in human cancer chemoresistance.Cancer cell international · 2024Review
- NEAT1 promotes the progression of prostate cancer by targeting the miR-582-5p/EZH2 regulatory axis.Cytotechnology · 2024Article
- Effect and Mechanism of lncRNA-PCMF1/hsa-miR-137/Twist1 Axis Involved in the EMT Regulation of Prostate Cancer Cells.Molecular biotechnology · 2023Article
- Importance of long non-coding RNAs in the pathogenesis, diagnosis, and treatment of prostate cancer.Frontiers in oncology · 2023Review
- Aberrant expressions of circulating lncRNA NEAT1 and microRNA-125a are linked with Th2 cells and symptom severity in pediatric allergic rhinitis.Journal of clinical laboratory analysis · 2022Article
- Recent advances of NEAT1-miRNA interactions in cancer.Acta biochimica et biophysica Sinica · 2022Review
- LncRNA NEAT1 promotes nucleus pulposus cell matrix degradation through regulating Nrf2/ARE axis.European journal of medical research · 2021Article
- Circular RNAs and Their Linear Transcripts as Diagnostic and Prognostic Tissue Biomarkers in Prostate Cancer after Prostatectomy in Combination with Clinicopathological Factors.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is the second leading cause of cancer-related deaths among male population worldwide, its incidence and lethality steadily increase. Nuclear enriched abundant transcript 1 (NEAT1) is a long non-coding RNA (ncRNA), located on chromatin 11. It has been found to function as an oncogene in different kinds of cancer. However, until now, the clinical significance of NEAT1 has not been investigated in prostate cancer.Paired tissue specimens of prostate cancer and matched normal prostate tissues were obtained from 130 patients with prostate cancer between 2014 and 2019 at The Fourth Affiliated Hospital Zhejiang University, School of Medicine. Group means were compared using the Student t test. Chi-Squared test was used for analyzing the correlation of the expression of NEAT1 with clinicopathologic features of prostate cancer patients. Survival data was analyzed using the Kaplan-Meier estimate and log-rank P was calculated. Cox regression model was used for univariate and multivariate analysis for factors related to overall survival.The expression of NEAT1 was increased significantly in prostate cancer tissues, compared with adjacent normal prostate tissues (P < .001). NEAT1 expression was significantly associated with TNM stage (P = .005), lymph nodes metastasis (P = .005), distant metastasis(P = .003), and Gleason score (P = .001). Overall survival rate was significantly lower for prostate cancer patients with a high expression level of NEAT1 than those with a low NEAT1a expression level (P = .048). In multivariate analysis, the results showed that the expression of NEAT1 was an independent prognostic factor for overall patient survival (HR: 2.111, CI: 1.735-10.295, P = .039).In the present study, NEAT1 is identified as an important lncRNA that may predict the prognosis of patients with prostate 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.