Loss of cyclin-dependent kinase-like 2 predicts poor prognosis in gastric cancer, and its overexpression suppresses cells growth and invasion.
Chia-Lang FangYih-Huei UenHan-Kun ChenYou-Cheng HseuChih-Chan LinShih-Ting HungDing-Ping SunKai-Yuan LinPublished in: Cancer medicine (2018)
Cyclin-dependent kinase-like 2 (CDKL2), a new member of the cyclin-dependent kinase family, may be involved in gastric cancer (GC) progression. Thus, we conducted this study to explore the clinical effect of CDKL2 in GC. Immunohistochemistry was used to measure CDKL2 levels in gastric tissues. The association of a high CDKL2 level with clinical and pathological characteristics, and the correlation between the CDKL2 level and disease-free and overall survival were analyzed. Transfection was employed to overexpress CDKL2 in GC cells and to investigate the effect of CDKL2 overexpression on cell proliferation and invasion. Loss of CDKL2 was positively correlated with several clinical and pathological characteristics, and patients with a low CDKL2 level had significantly poorer disease-free and overall survival than those with a high level (P = .005 and .001, respectively). Univariate analysis using the Cox proportional hazards model indicated that a low CDKL2 level was a prognosticator for inferior disease-free survival (P = .007). Based on immmunoblotting data, AGS and HGC-27 GC cells were chosen for CDKL2 overexpression. Cellular studies revealed that CDKL2 overexpression impaired cell proliferation and invasion. Loss of CDKL2 may serve as a biomarker for predicting GC patient outcomes and a potential therapeutic target for GC treatment.
Keyphrases
- cell cycle arrest
- induced apoptosis
- poor prognosis
- free survival
- cell proliferation
- cell cycle
- single cell
- gas chromatography
- gene expression
- cell death
- transcription factor
- signaling pathway
- oxidative stress
- endoplasmic reticulum stress
- mesenchymal stem cells
- mass spectrometry
- climate change
- pi k akt
- electronic health record
- liquid chromatography
- solid phase extraction