Evidence map›Paper›PMID 30883337›Full record

ArticleCancer biomarkers : section A of Disease markers2019

Co-expression network analysis identified KIF2C in association with progression and prognosis in lung adenocarcinoma.

Yuquan Bai, Lecai Xiong, Minglin Zhu, Zetian Yang, Jinping Zhao, Hexiao Tang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. KIF2C promotes the proliferation of hepatocellular carcinoma cellsExperimental and therapeutic medicine · 2021
    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.

Yuquan Bai
Lecai Xiong
Minglin Zhu
Zetian Yang
Jinping Zhao
Hexiao Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a malignant tumor with high morbidity and mortality, of which 80% is non-small cell lung cancer (NSCLC). And lung adenocarcinoma (LUAD) is the most important and common subtype in the NSCLC. In current study, the microarray data GSE31210 containing LUAD (n= 226) and normal lung tissue (n= 20) was analyzed to identify 965 differentially expressed genes, on which weighted gene co-expression network analysis was performed. Finally, it was confirmed that there was a significant correlation between brown module and LUAD stage. In the significant module, a total of 54 network hub genes were identified, and six of them were also identified as hub genes of the protein-protein interaction network. In validation, KIF2C showed a higher correlation with disease stage than other hub genes (p< 0.001, R2 = 0.955). Functional enrichment suggests that KIF2C is associated with cell mitosis and cell cycle. Combined with clinicopathological parameters, we found that the high expression of KIF2C is closely related to the relapse and tumor stage of LUAD. Survival analysis showed a significant reduction in overall survival in LUAD patients with high expression of KIF2C. Gene set enrichment analysis (GSEA) also showed that the "cell cycle signaling pathway" and "P53 related pathway" were significantly enriched in LUAD samples with high expression of KIF2C (FDR < 0.05). In conclusion, based on the co-expression analysis, KIF2C was identified in the association with progression and prognosis of LUAD, which might refer a poor prognosis probably by regulating cell cycle signaling pathway.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksAdenocarcinoma of LungAgedAged, 80 and overBiomarkers, TumorComputational BiologyDisease ProgressionFemaleGene Expression ProfilingGene OntologyHumansKinesinsMaleMiddle AgedNeoplasm StagingBiomarkers, TumorKIF2C protein, humanKinesinscell cycleco-expression analysisKIF2CLung adenocarcinoma

Identifiers

PMID30883337
PMCPMC13082516
OpenAlexW2920912903

What OpenQuestion holds

Textmetadata
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.