Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Dysregulation of KIF14 regulates the cell cycle and predicts poor prognosis in cervical cancer: a study based on integrated approaches

1 Jan 2021

Abstract excerpt

Cervical cancer (CC) is the most common malignant tumor in females. Although persistent high-risk human papillomavirus (HPV) infection is a leading factor that causes CC, few women with HPV infection develop CC. Therefore, many mechanisms remain to be explored, such as aberrant expression of oncogenes and tumor suppressor genes. To identify promising prognostic factors and interpret the relevant mechanisms of CC,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Ferroptosis and cancer prognosis
Share to RNA modifications and cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34495250
DOI: 10.1590/1414-431x2021e11363

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Dysregulation of KIF14 regulates the cell cycle and predicts poor prognosis in cervical cancer: a study based on integrated approachesPMID 34495250Read ↗

High expression of KIF4A predicts poor prognosis hallmark and is correlated with immune infiltrates in cervical cancerSemantic proximity Read ↗

Comprehensive gene and pathway analysis of cervical cancer progressionSemantic proximity Read ↗

Bioinformatics Analysis of KIF1A Expression and Gene Regulation Network in Ovarian CarcinomaSemantic proximity Read ↗

Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysisSemantic proximity Read ↗

Pan-cancer analysis of kinesin family members with potential implications in prognosis and immunological role in human cancerSemantic proximity Read ↗

Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation StudiesSemantic proximity Read ↗

Identification of Significant Gene Signatures and Prognostic Biomarkers for Patients With Cervical Cancer by Integrated Bioinformatic MethodsSemantic proximity Read ↗

Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnostic model.Semantic proximity Read ↗

Involvement of FAK-ERK2 signaling pathway in CKAP2-induced proliferation and motility in cervical carcinoma cell linesSemantic proximity Read ↗

Identifying Mitotic Kinesins as Potential Prognostic Biomarkers in Ovarian Cancer Using Bioinformatic AnalysesSemantic proximity Read ↗

RCN1 couple KIF14 and promotes the malignant progression of cervical cancer via the PI3K-mTOR pathwaySemantic proximity Read ↗

KIFC1 in cancer: Understanding its expression, regulation, and therapeutic potentialSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.