ArticleMedical science monitor : international medical journal of experimental and clinical research2018
Distinct Diagnostic and Prognostic Values of Kinesin Family Member Genes Expression in Patients with Breast Cancer.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.
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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.
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.
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Who cites it
33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Prognostic significance of the kinesin superfamily in breast cancer: A systematic review & meta-analysis.The Indian journal of medical research · 2025Pooled it
- KIF2C/MCAK a prognostic biomarker and its oncogenic potential in malignant progression, and prognosis of cancer patients: a systematic review and meta-analysis as biomarker.Critical reviews in clinical laboratory sciences · 2024Pooled it
- Prognostic significance of KIF2A and KIF20A expression in human cancer: A systematic review and meta-analysis.Medicine · 2019Pooled it
- Kinesins in Cancer Drug Resistance: Mechanisms, Therapeutic Targeting, and Translational Potential.Cancers · 2026Review
- KIF23 in disease pathogenesis and therapeutics : from molecular mechanisms to clinical translation.Cancer cell international · 2026Review
- From Motor Proteins to Oncogenic Factors: The Evolving Role of Kinesin Superfamily Proteins in Breast Cancer Development.Molecular biotechnology · 2026Review
- FOXM1 Signaling Network Transcriptionally Upregulates Expression of Proteins Involved in Mitotic Progression to Induce High Proliferation and Chromosomal Instability in Androgen Receptor-Low Triple-Negative Breast Cancer.International journal of molecular sciences · 2026Article
- Non-invasive host transcriptome and HPV oncogene expression map the molecular landscape of HPV-driven cervical lesions.PloS one · 2026Article
- Kinesin genes KIF4A, KIF20A and KIF11 as prognostic biomarkers in lung adenocarcinoma by integrative bioinformatic analysis and experimental validation.Scientific reports · 2025Article
- The multifaceted role of KIF15 in cancer progression and therapy.Investigational new drugs · 2025Review
- Comprehensive and Accurate Molecular Profiling of Breast Cancer through mRNA Expression ofDiagnostics (Basel, Switzerland) · 2024Article
- Knockdown of kinesin family member 2C restricts cell proliferation and induces cell cycle arrest in gastric cancer.Histology and histopathology · 2023Article
- KIF2C is a prognostic biomarker associated with immune cell infiltration in breast cancer.BMC cancer · 2023Article
- KIF23, under regulation by androgen receptor, contributes to nasopharyngeal carcinoma deterioration by activating the Wnt/β-catenin signaling pathway.Functional & integrative genomics · 2023Article
- Downregulation of KIF15 inhibits the tumorigenesis of non-small-cell lung cancer via inactivating Raf/MEK/ERK signaling.Histology and histopathology · 2022Article
- Integrative Pan-Cancer Analysis of KIF15 Reveals Its Diagnosis and Prognosis Value in Nasopharyngeal Carcinoma.Frontiers in oncology · 2022Article
- Mitotic chromosomes.Seminars in cell & developmental biology · 2021Review
- KIF23 promotes triple negative breast cancer through activating epithelial-mesenchymal transition.Gland surgery · 2021Article
- KIF15 is involved in development and progression of Burkitt lymphoma.Cancer cell international · 2021Article
- Systematic Pan-Cancer Analysis of KIF23 and a Prediction Model Based on KIF23 in Clear Cell Renal Cell Carcinoma (ccRCC).Pharmacogenomics and personalized medicine · 2021Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND This study investigated the diagnostic and prognostic values of kinesin superfamily proteins (KIFs) in breast cancer (BC) patients. MATERIAL AND METHODS All data were obtained from the Cancer Genome Atlas. DESeq was run to test for differentially expressed KIF genes. Patients were divided into high- and low-expression groups according to the median expression values of each KIF genes. Survival data were calculated using the Cox proportional hazard model. Comprehensive survival analysis was performed to evaluate the prognostic value of the prognostic signature. Gene set enrichment analysis (GSEA) was conducted to identify associated gene ontology and KEGG pathways. RESULTS Bioinformatics analysis showed that all KIF genes were significantly enriched during DNA replication and the cell cycle, and co-expressed with each other. Thirteen KIF genes were differentially expressed in cancer and adjacent tissues, and high levels of KIF15, KIF20A, KIF23, KIF2C and KIF4A genes were significantly correlated with poor overall survival (OS). GSEA showed that BC patients with high expression of KIF15, KIF20A, KIF23, KIF2C and KIF4A were enriched in the cell cycle process, P53 regulation pathway and mismatch repair. Combinations of low expression of KIF15, KIF20A, KIF23, KIF2C and KIF4A were more highly correlated with favorable OS. Nomograms showed that the KIF4A risk score provided the maximum number of risk points (range 0-100), whereas other genes made a lower contribution. CONCLUSIONS We conclude that 13 KIF genes are differentially expressed in BC tumor tissues, and KIF15, KIF20A, KIF23, KIF2C and KIF4A are associated with prognostic factors in BC.
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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.