Evidence map›Paper›PMID 34050132›Full record

ArticleCell death discovery2021

hsa_circ_0008234 inhibits the progression of lung adenocarcinoma by sponging miR-574-5p.

Wei Jiang, Yaozhou He, Zijian Ma, Yu Zhang, Chengpeng Zhang, Nianpeng Zheng, Xing Tang

Abstract read
In one paragraph

Article in Cell death discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. miR-574-5p in epigenetic regulation and Toll-like receptor signaling.Cell communication and signaling : CCS · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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

7 authors.

Wei Jiang *Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, P. R. China.
Yaozhou He *Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, P. R. China.
Zijian MaDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, P. R. China.
Yu ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, P. R. China.
Chengpeng ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, P. R. China.
Nianpeng ZhengDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, P. R. China.
Xing TangDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, P. R. China. tangx81@163.com.

Funding

Natural Science Foundation of Xinjiang Province (Xinjiang Natural Science Foundation) 2021D01A187
6 · The paper itself

Abstract

circRNAs are a novel type of noncoding RNA (ncRNA) that have been identified as an important regulator of gene expression and play a part in the progression of various diseases. However, the function of circ_0008234 in lung adenocarcinoma (LUAC) remains unknown. Through the GEO (Gene Expression Omnibus) database, circ_0008234 was first found to be downregulated in LUAC tissues. It could inhibit cell growth and accelerate apoptosis in vitro and in vivo. In terms of its possible mechanism, circ_0008234 mainly was present in the cytoplasm and competed with miR-574-5p to regulate RND3 (Rho family GTPase 3). Our results revealed that circ_0008234 inhibited the progression of LUAC through a competing endogenous RNA (ceRNA)-based mechanism and provided potential biomarkers and therapeutic targets for LUAC treatment.

Identifiers

PMID34050132
PMCPMC8163831

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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.