Evidence map›Paper›PMID 35105934›Full record

ArticleScientific reports2022

Analysis of the effect of NEKs on the prognosis of patients with non-small-cell lung carcinoma based on bioinformatics.

Mengxia Yang, Yikun Guo, Xiaofei Guo, Yun Mao, Shijie Zhu, Ningjun Wang, Dianrong Lu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Mutational insights andFrontiers in bioinformatics · 2025
    Article
  3. Article
  4. The emerging role of Never-in-Mitosis A - Related Kinases in the endothelium.The international journal of biochemistry & cell biology · 2024
    Review
  5. 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 4 institutions in 1 country.

Mengxia YangGraduate School, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.
Yikun GuoGraduate School, Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China.
Xiaofei GuoDepartment of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, People's Republic of China.
Yun MaoDepartment of Oncology, The Second Hospital of Hunan University of Chinese Medicine, Changsha, 410005, People's Republic of China.
Shijie ZhuDepartment of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, People's Republic of China.
Ningjun WangDepartment of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, People's Republic of China. wnj102300@sina.com.
Dianrong LuDepartment of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, People's Republic of China. ludianrong@aliyun.com.
Wangjing Hospital of China Academy of Chinese Medical Sciences · CNBeijing University of Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHunan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NEKs are proteins that are involved in various cell processes and play important roles in the formation and development of cancer. However, few studies have examined the role of NEKs in the development of non-small-cell lung carcinoma (NSCLC). To address this problem, the Oncomine, UALCAN, and the Human Protein Atlas databases were used to analyze differential NEK expression and its clinicopathological parameters, while the Kaplan-Meier, cBioPortal, GEPIA, and DAVID databases were used to analyze survival, gene mutations, similar genes, and biological enrichments. The rate of NEK family gene mutation was high (> 50%) in patients with NSCLC, in which NEK2/4/6/8/ was overexpressed and significantly correlated with tumor stage and nodal metastasis status. In addition, the high expression of NEK2/3mRNA was significantly associated with poor prognosis in patients with NSCLC, while high expression of NEK1/4/6/7/8/9/10/11mRNA was associated with good prognosis. In summary, these results suggest that NEK2/4/6/8 may be a potential prognostic biomarker for the survival of patients with NSCLC.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCarcinoma, Non-Small-Cell LungDatabases, GeneticDatabases, ProteinHumansKaplan-Meier EstimateLung NeoplasmsMutationNIMA-Related KinasesPrognosisProteomicsRNA, MessengerSurvival RateTranscriptomeBiomarkers, TumorNIMA-Related KinasesRNA, Messenger

Identifiers

PMID35105934
PMCPMC8807624
OpenAlexW4221064262

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.