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FOXM1 and polo-like kinase 1 are co-ordinately overexpressed in patients with gastric adenocarcinomas

Overview of attention for article published in BMC Research Notes, November 2015
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Title
FOXM1 and polo-like kinase 1 are co-ordinately overexpressed in patients with gastric adenocarcinomas
Published in
BMC Research Notes, November 2015
DOI 10.1186/s13104-015-1658-y
Pubmed ID
Authors

M. Dibb, N. Han, J. Choudhury, S. Hayes, H. Valentine, C. West, AD Sharrocks, Yeng S. Ang

Abstract

Gastric cancers present late in life with advanced disease and carry a poor prognosis. Polo-like Kinase 1 (PLK1) is a mitotic kinase with regulatory functions during G2/M and mitosis in the cell cycle. In mammalian cells, there is an intricate co-regulatory relationship between PLK1 and the forkhead transcription factor FOXM1. It has been demonstrated that individually either PLK1 or FOXM1 expression predicts poorer survival. However, the co-expression of both of these markers in gastric adenocarcinomas has not been reported previously. We aimed to assess the expression of PLK1 and FOXM1 in Gastric adenocarcinomas in a Western Population, to examine whether there is a relationship of PLK1 to FOXM1 in cancer samples. We assess both the protein and mRNA expression in this patient population by Tissue Microarray immunohistochemistry and RT-PCR. Immunohistochemistry was performed on biopsy samples from 79 patients with gastric cancer. Paired normal controls were available in 47 patients. FOXM1 expression was significantly associated with gastric adenocarcinoma (p = 0.001). PLK1 and FOXM1 co-expression was demonstrated in 6/8 (75 %) tumours when analysed by RT-PCR. FOXM1 is overexpressed in a large proportion of gastric carcinomas at the protein level and FOXM1 and PLK1 are concomitantly overexpressed at the mRNA level in this cancer type. This study has demonstrated that FOXM1 and its target gene PLK1 are coordinately overexpressed in a proportion of gastric adenocarcinomas. This suggests that chemotherapeutic treatments that target this pathway may be of clinical utility.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 24%
Student > Ph. D. Student 3 14%
Student > Master 3 14%
Researcher 3 14%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 6 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Agricultural and Biological Sciences 4 19%
Medicine and Dentistry 2 10%
Veterinary Science and Veterinary Medicine 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 7 33%