4.5 Article

Expression of CAMK1 and its association with clinicopathologic characteristics in pancreatic cancer

Journal

JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
Volume 25, Issue 2, Pages 1198-1206

Publisher

WILEY
DOI: 10.1111/jcmm.16188

Keywords

CAMK1; pancreatic cancer; prognosis; protein‐ protein interactions; tissue microarray

Funding

  1. Ring Chang Special Fund of Shanghai Charity Foundation [Q2015-024]

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This study investigated the expression and clinical significance of CAMK1 in pancreatic cancer. Results showed that CAMK1 was highly expressed in PC and had prognostic value in PC patients. Protein-protein interaction analysis identified several important genes associated with CAMK1, suggesting a potential role of CAMK1 as a candidate marker for investigating clinical prognosis of PC.
Calcium/calmodulin-dependent protein kinase (CAMKs) can control a wide range of cancer-related functions in multiple tumour types. Herein, we explore the expressions and clinical significances of calcium/calmodulin-dependent protein kinase 1 (CAMK1) in pancreatic cancer (PC). The expression of CAMK1 in PC was analysed by Gene Expression Profiling Interactive Analysis 2 (GEPIA 2) database and the Oncomine database. For further validation, the protein level of CAMK1 in PC tissues was also detected in the Human Protein Atlas (HPA) database and the tissue microarray (TMA)-based immunohistochemistry (IHC). GEPIA 2 and Kaplan-Meier Plotter (KM Plotter) databases were used to explore the prognostic significances of CAMK1 in overall survival (OS) and disease-free survival (DFS) of PC at mRNA level. The relationship between CAMK1 expression and the clinicopathological characteristics of PC was further explored. Additionally, the Search Tool for the Retrieval of Interacting Genes (STRING) database was used to analyse protein-protein interactions (PPI). We found CAMK1 was highly expressed in PC both in bioinformatics analyses and TMA-IHC results. The prognostic analyses from the public databases also showed consistent results with follow-up data. The PPI network suggested that CALM1, CALM3, CREB1, CALM2, SYN1, NOS3, ATF1, GAPDH, PPM1F and FBXL12 were important significant genes associated with CAMK1. Our finding revealed CAMK1 has prognostic value in PC patients, suggesting that CAMK1 may has a distinct role in PC patients and can be used as a candidate marker for investigating clinical prognosis of PC.

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