Evidence map›Paper›PMID 28507281›Full record

SynthesisOncotarget2017

High expression of long non-coding RNA NEAT1 indicates poor prognosis of human cancer.

Jian Fang, Fuhao Qiao, Jingjing Tu, Jinfeng Xu, Fangfang Ding, Yun Liu, Bufugdi Andreas Akuo, Jianpeng Hu, Shihe Shao

Abstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Review
  2. Biology methods & protocols · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. The Long Noncoding RNAMolecular cancer research : MCR · 2020
    Article
  13. Long non-coding RNA NEAT1-centric gene regulation.Cellular and molecular life sciences : CMLS · 2020
    Review
  14. Article
  15. Article
  16. The role ofContemporary oncology (Poznan, Poland) · 2020
    Article
  17. Article
  18. Review
  19. NEAT1-TFE3 and KAT6A-TFE3 renal cell carcinomas, new members of MiT family translocation renal cell carcinoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jian FangDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Fuhao QiaoDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Jingjing TuDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Jinfeng XuDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Fangfang DingDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Yun LiuDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Bufugdi Andreas AkuoDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Jianpeng HuDepartment of Urinary Surgery, Zhenjiang First People's Hospital, Zhenjiang, Jiangsu 212013, China.
Shihe ShaoDepartment of Pathogenic Biology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nuclear paraspeckle assembly transcript 1 (NEAT1) is a long non-coding RNA. Many studies have reported that NEAT1 plays critical oncogenic roles and facilitates tumorigenesis of various human cancers. High NEAT1 expression is associated with a poor prognosis in cancer patients. This meta-analysis was conducted to assess the association between NEAT1 levels and survival times of cancer patients. Overall survival (OS) was the primary endpoint. Thirteen publications with 1,496 cancer patients from 5 databases (PubMed, EMBASE, Cochrane Library, Wiley Online Library, and Medline) met the criteria for this meta-analysis. Results of the analysis showed that NEAT1 expression in human cancer was significantly associated with OS (hazard ratio [HR]=1.53, 95% confidence interval [CI]: 1.39-1.68), including digestive system tumor (HR=1.54, 95% CI: 1.37-1.73) and respiratory carcinomas (HR=1.44, 95% CI: 1.11-1.85). The results also indicated that NEAT1 expression was highly associated with tumor size (>3 cm vs. ≤3 cm; odds ratio [OR]=2.51, 95% CI: 1.27-4.99; p=0.009), TNM stage (III+IV vs. I+II; OR=4.17, 95% CI: 2.42-7.18; p=0.00001), and distant metastasis (OR=2.73, 95% CI: 1.28-5.79; p=0.01). However, there was no significant association with differentiation (poor vs. well + moderate, OR=1.45, 95% CI: 0.72-2.91) and lymph node metastasis (OR=1.39, 95% CI: 0.54-3.60). This meta-analysis showed that NEAT1 expression may be a useful biomarker for predicting a poor prognosis in patients with cancer.

Indexed as

Biomarkers, TumorGene ExpressionCell Line, TumorHumansNeoplasm GradingNeoplasm MetastasisNeoplasmsNeoplasm StagingOdds RatioPrognosisProportional Hazards ModelsPublication BiasRNA, Long NoncodingTumor BurdenBiomarkers, TumorNEAT1 long non-coding RNA, humanRNA, Long Noncodingcancermeta-analysisNEAT1OSpoor prognosis

Identifiers

PMID28507281
PMCPMC5542237

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Registered trials

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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.