Evidence map›Paper›PMID 35538025›Full record

ReviewActa biochimica et biophysica Sinica2022

Recent advances of NEAT1-miRNA interactions in cancer.

Hui Zhou, Yongxiang Wang, Zhongtao Liu, Zijian Zhang, Li Xiong, Yu Wen

Open access · diamondAbstract readReview
In one paragraph

Review in Acta biochimica et biophysica Sinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Epigenetic regulation of EZH2 by ncRNAs: mechanisms and oncogenic implications.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
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  15. DNA repair in tumor radioresistance: insights from fruit flies genetics.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Preliminary study on miRNA in prostate cancer.World journal of surgical oncology · 2023
    Article
  20. Interplay between LncRNAs and microRNAs in Breast Cancer.International journal of molecular sciences · 2023
    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

6 authors.

Hui Zhou
Yongxiang Wang
Zhongtao Liu
Zijian Zhang
Li Xiong
Yu Wen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With high incidence rate, cancer is the main cause of death in humans. Non-coding RNAs, as novel master regulators, especially long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), play important roles in the regulation of tumorigenesis. lncRNA NEAT1 has recently gained much attention, as it is dysregulated in a broad spectrum of cancers, where it acts as either an oncogene or a tumor suppressor gene. Accumulating evidence shows that NEAT1 is correlated with the process of carcinogenesis, including proliferation, invasion, survival, drug resistance, and metastasis. NEAT1 is considered to be a biomarker and a novel therapeutic target for the diagnosis and prognosis of different cancer types. The mechanisms by which NEAT1 plays a critical role in cancers are mainly via interactions with miRNAs. NEAT1-miRNA regulatory networks play significant roles in tumorigenesis, which has attracted much attention from researchers around the world. In this review, we summarize the interaction of NEAT1 with miRNAs in the regulation of protein-coding genes in cancer. A better understanding of the NEAT1-miRNA interactions in cancer will help develop new diagnostic biomarkers and therapeutic approaches.

Indexed as

MicroRNAsNeoplasmsRNA, Long NoncodingCarcinogenesisHumansMicroRNAsNEAT1 long non-coding RNA, humanRNA, Long NoncodingcancerceRNAinteractionmiRNANEAT1

Identifiers

PMID35538025
PMCPMC9827865
OpenAlexW4213288849

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.