Evidence map›Paper›PMID 33817257›Full record

ArticleOpen life sciences2020

CircHIPK3/miR-381-3p axis modulates proliferation, migration, and glycolysis of lung cancer cells by regulating the AKT/mTOR signaling pathway.

Feng Gu, Junhan Zhang, Lin Yan, Dong Li

Abstract read
In one paragraph

Article in Open life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  12. Article
  13. [Research Progress of Circular RNA CircHIPK3 in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. The roles and mechanisms of circular RNAs related to mTOR in cancers.Journal of clinical laboratory analysis · 2022
    Review
  18. Article
  19. Circular RNAs Involved in the Regulation of the Age-Related Pathways.International journal of molecular sciences · 2022
    Review
  20. 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

4 authors.

Feng GuDepartment of Aspiration Oncology, Gansu Provincial Tumor Hospital, Lanzhou, Gansu, China.
Junhan ZhangDepartment of Research and Experimental Center, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Lin YanDepartment of Anesthesiology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Dong LiDepartment of Thoracic Surgery, Gansu Provincial Tumor Hospital, No. 2 Xiaoxihu East Street, Qilihe District, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a lethal malignancy. Plenty of circular RNAs (circRNAs) have been identified to be the vital regulators in lung cancer development. Here, we intended to clarify the functional role of circRNA HIPK3 (circHIPK3, also called hsa_circ_0021593) and its underlying mechanism of action. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was employed to evaluate the levels of circHIPK3 and miR-381-3p. Cell viability and apoptosis rate were monitored by Cell Counting Kit-8 assay and flow cytometry, respectively. Cell migration was estimated through the Transwell assay. To assess glycolysis, commercial kits were utilized to measure the levels of glucose and lactate and the enzyme activity of hexokinase-2 (HK2). Expression of related proteins was detected via western blot analysis. The target connection between circHIPK3 and miR-381-3p was validated by dual-luciferase reporter, RIP, and pull-down assays. The role of circHIPK3

Indexed as

AKT/mTOR signaling pathwaycircHIPK3glycolysislung cancermiR-381-3p

Identifiers

PMID33817257
PMCPMC7747506

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.