Evidence map›Paper›PMID 33816250›Full record

ArticleFrontiers in oncology2021

Knockdown of SNORA47 Inhibits the Tumorigenesis of NSCLC

Huiqing Yu, Ling Tian, Liejun Yang, Shihong Liu, Sixiong Wang, Juan Gong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Small nucleolar RNAs: the hidden precursors of cancer ribosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. ctDNACancer management and research · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. 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

6 authors at 2 institutions in 1 country.

Huiqing YuDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Ling TianDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Liejun YangDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Shihong LiuDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Sixiong WangDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Juan GongDepartment of Palliative Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Chongqing Cancer Hospital · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is a frequently diagnosed aggressive cancer all over the world. Small nucleolar RNAs (snoRNAs) are a group of non-coding mediatory RNAs. A previous report indicated that small nucleolar RNA 47 (SNORA47) is upregulated in NSCLC. However, the role of SNORA47 in NSCLC is unclear. MATERIAL AND

methodsCell proliferation was measured by immunofluorescence staining. Cell apoptosis and cycle of NSCLC were tested by flow cytometry and the protein expressions were investigated by Western-blot. Meanwhile, cell migration and invasion were detected by transwell assay. Xenograft mice model was established to detect the effect of SNORA47 knockdown on tumor growth of NSLC

resultsKnockdown of SNORA47 significantly inhibited the proliferation of NSCLC cells

conclusionKnockdown of SNORA47 significantly inhibited the tumorigenesis of NSCLC

Indexed as

cell growthEMTNSCLCPI3K/AKTSNORA47

Identifiers

PMID33816250
PMCPMC8017274
OpenAlexW3139265077

What OpenQuestion holds

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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.