Loss of cyclin-dependent kinase-like 2 predicts poor prognosis in gastric cancer, and its overexpression suppresses cells growth and invasion

Chia Lang Fang, Yih Huei Uen, Han Kun Chen, You Cheng Hseu, Chih Chan Lin, Shih Ting Hung, Ding Ping Sun, Kai Yuan Lin

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2993-3002
Number of pages10
JournalCancer Medicine
Volume7
Issue number7
DOIs
Publication statusPublished - Jul 1 2018

Keywords

  • CDKL2
  • gastric cancer
  • immunohistochemistry
  • prognosis

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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