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Background: The NIMA-related kinase 2 (NEK2) is a serine/threonine kinase that is involved in regulation of centrosome duplication and spindle assembly during mitosis. Dysregulation of these processes causes chromosome instability and aneuploidy, which are hallmark changes of many solid tumors. However, whether aberrant expression of NEK2 is associated with outcome of prostate cancer (PCa) patients remains to be determined.
Methods: Expression of NEK2 in human PCa cells and primary PCa tissues was assessed by quantitative RT-PCR. Expression of NEK2 in human PCa cells was depleted with siRNA. Effects of the depletion on cell proliferation, survival, and tumorigenicity were assessed both in vitro with cell cultures and in vivo with subcutaneous implantation of xenografts. In silico analyses of the online Taylor dataset were carried out to determine whether the expression level of NEK2 correlated with the clinicopathological characteristics of prostate cancer.
Results: Compared with benign human prostatic epithelial cells and tissues, the expression of NEK2 was elevated in human PCa cells and primary PCa tissues. Depleting NEK2 expression inhibited human PCa cell proliferation in vitro and xenograft growth in vivo. Expression level of NEK2 in PCa positively correlated with the Gleason score and pathologic stage of the patient.
Conclusion: The results suggest that overexpression of NEK2 has the potential to serve as a biomarker for PCa prognosis. Further validation with large sample pool is warrant.
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http://dx.doi.org/10.1186/s12894-015-0085-7 | DOI Listing |
Histol Histopathol
July 2025
Department of Anesthesiology, the Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Purpose: To investigate the role of ubiquitin-specific protease 7 (USP7) in thyroid cancer (TC) pathogenesis and sorafenib resistance.
Methods: USP7 expression was compared in normal human thyroid cells and TC cells. The TC line with maximal differential USP7 expression was selected for further study.
Oncol Rep
October 2025
Department of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Colorectal cancer (CRC) is the third most common malignant tumor and the second leading cause of cancer‑related deaths worldwide. Identifying driver genes in CRC development may provide clinical benefits for patients. Zinc finger protein 695 (ZNF695) is a nuclear protein with transcriptional regulatory activity, which has been implicated in tumor progression; however, the role of ZNF695 in CRC is unclear.
View Article and Find Full Text PDFFront Cardiovasc Med
June 2025
Department of Vascular Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Deep vein thrombosis (DVT) is the third most common cardiovascular disorder and can lead to high mortality and morbidity. This study aimed to clarify the molecular and immune characteristics of circular RNAs (circRNAs) and messenger RNAs (mRNAs) in DVT progression.
Methods: DVT-associated dataset GSE148333 was downloaded to screen differentially expressed circRNAs and mRNAs using the limma package.
Diagnostics (Basel)
June 2025
Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei 100225, Taiwan.
Lung adenocarcinoma (LUAD) is the most common subtype of non-small-cell lung cancer and is frequently diagnosed at advanced stages with metastasis, contributing to its poor prognosis. Identifying key metastasis-related biomarkers is critical for improving early diagnosis and therapeutic targeting. We analyzed four GEO microarray datasets (GSE32863, GSE27262, GSE40275, and GSE33356) and TCGA data to identify differentially expressed genes (DEGs) in LUAD.
View Article and Find Full Text PDFTransl Cancer Res
May 2025
Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Dali University, Dali, China.
Background: Early detection and prognostic prediction are crucial in improving the survival of patients with pleural mesothelioma (PM). Therefore, this study aimed to develop a gene prognostic risk model for PM patients based on The Cancer Genome Atlas (TCGA) database analysis and experimental validations.
Methods: Obtaining gene expression data and clinical information of PM from the TCGA database, the dataset was divided into a training set and a testing set.