Evidence map›Paper›PMID 37142638›Full record

ArticleScientific reports2023

KIF2C accelerates the development of non-small cell lung cancer and is suppressed by miR-186-3p via the AKT-GSK3β-β-catenin pathway.

Junmei Guo, Wei Zhang, Liping Sun, Hongfang Yu, Yuzhe Wang, Li Feng, Hao Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Research progress of kinesin family in neurological diseases.Frontiers in cellular neuroscience · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Bioinformatics Analysis and Screening of Potential Target Genes Related to the Lung Cancer Prognosis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
    Article
  16. 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 at 3 institutions in 1 country.

Junmei Guo *Department of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China.
Wei Zhang *Department of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China.
Liping SunDepartment of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China.
Hongfang YuDepartment of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China.
Yuzhe WangDepartment of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China.
Li FengAbdominal Surgery Department, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China. 66552483@qq.com.
Hao YangDepartment of Radiation Oncology, Peking University Cancer Hospital (Inner Mongolia Campus) & Affiliated Cancer Hospital of Inner Mongolia Medical University, Huhhot, 010020, China. haoyang050201@163.com.
Inner Mongolia Medical University · CNPeking University · CNPeking University Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore how kinesin family member 2C (KIF2C) influences the progression of non-small cell lung cancer (NSCLC). The levels of KIF2C and microRNA-186-3p (miR-186-3p) were examined by quantitative real-time polymerase chain reaction (qRT-PCR). Through the utilization of cell counting kit-8 (CCK-8) assay, colony formation assay, wound closure assay, and Transwell assay, NSCLC cell proliferation, migration, and invasion were identified, respectively. NSCLC cell apoptosis was assessed using the TUNEL assay and flow cytometry (FCM) assay. Luciferase reporter analysis was used to investigate the relationship between KIF2C and miR-186-3p. Western blot assays were conducted to investigate the influence of KIF2C on the AKT-GSK3β-β-catenin pathway. The results showed that KIF2C was up-regulated in NSCLC cells, which predicted poor prognosis. KIF2C overexpression promoted the proliferation, migration, and invasion of NSCLC cells as well as inhibited NSCLC cell apoptosis. KIF2C was as a key target of miR-186-3p. High expression of KIF2C, meanwhile, increased the levels of β-catenin, p-GSK-3β and phosphorylated protein kinase B (p-AKT). KIF2C downregulation and miR-186-3p upregulation reversed these outcomes. As an oncogenic factor, KIF2C is negatively regulated by miR-186-3p and participates in the progression of NSCLC through the AKT-GSK3β-β-catenin pathway.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicroRNAsbeta CateninCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticGlycogen Synthase Kinase 3 betaHumansKinesinsProto-Oncogene Proteins c-aktbeta CateninGlycogen Synthase Kinase 3 betaKIF2C protein, humanKinesinsMicroRNAsMIRN186 microRNA, humanProto-Oncogene Proteins c-akt

Identifiers

PMID37142638
PMCPMC10160078
OpenAlexW4368618191

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.