Evidence map›Paper›PMID 34321916›Full record

ArticleInternational journal of general medicine2021

Bioinformatics Analysis of KIF1A Expression and Gene Regulation Network in Ovarian Carcinoma.

Xiaoyuan Lu, Guilin Li, Sicong Liu, Haihong Wang, Zhengzheng Zhang, Buze Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 24 citations in OpenAlex.

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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 1 institution in 1 country.

Xiaoyuan Lu *Department of Gynecology, The affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.ORCID 0000-0001-5839-0804
Guilin Li *Department of Gynecology, Maternal and Child Health Care Hospital affiliated to Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.
Sicong LiuGraduate School, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.
Haihong WangDepartment of Gynecology, The affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.
Zhengzheng ZhangDepartment of Gynecology, The affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.
Buze ChenDepartment of Gynecology, The affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, People's Republic of China.ORCID 0000-0002-3864-6910
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aims to analyze the expression levels of kinesin family member 1A (KIF1A) in ovarian cancer (OC) and explore its clinical significance in the development of OC and its potential regulatory network.

methodsThe Cancer Genome Atlas (TCGA) OC data was used to examine the expression differences between OC and normal tissue and explore the correlation with tumor stage. The relationship between KIF1A expression and prognosis was analyzed using Oncomine and Kaplan-Meier plotter tools. The co-expression network of KIF1A in TCGA OC was analyzed based on the application of cBioPortal, GO cluster, and KEGG analyses were performed based on the co-expression network. Immune-infiltration analysis were used to analyze the significant involvement of KIF1A in function.

resultsKIF1A was highly elevated in OC tissues and KIF1A expression was significantly correlated with the FIGO stage (P=0.015) and age (P=0.020). High KIF1A expression of OC predicted the poor prognosis including overall survival (OS) (HR: 1.27; 95% CI: 1.11-1.45; P=0.00046) and post-progression survival (PFS) (HR: 1.18; 95% CI: 1.03-1.35; P=0.015). GO and KEGG analysis showed KIF1A had a potential role in the biological process of ATP-dependent chromatin remodeling, transcription, DNA-templated cytolysis, positive regulation of T cell proliferation, positive regulation of transcription, DNA-templated via cell adhesion molecules (CAMs), primary immunodeficiency, oxidative phosphorylation, NF-kappa B signaling pathway, pathways in cancer and Wnt signaling pathway, and immune infiltrating cells.

conclusionKIF1A was highly expressed and correlated with poor survival and immune infiltration in OC, and it may be a prognostic biomarker in OC.

Indexed as

biomarkerKIF1Aovarian cancerprognostic

Identifiers

PMID34321916
PMCPMC8312510
OpenAlexW3184021024

What OpenQuestion holds

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LicenceCC BY-NC
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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.