Analysis of expression profile of genes encoding cellular receptor proteins in endometrial cancer

Authors

  • Tomasz Kubiatowski Department of Chemotherapy, St John’s Cancer Center, Lublin, Poland Author
  • Elżbieta Starosławska Department of Chemotherapy, St John’s Cancer Center, Lublin, Poland Author
  • Justyna Szumiło Department of Clinical Pathomorphology, Medical University in Lublin, Lublin, Poland Author https://orcid.org/0000-0003-2315-4208
  • Krzysztof J. Czarnocki 1. St John’s Cancer Center, Lublin, Poland; 2. Occupational Hygiene and Ergonomic Dept., Lublin University of Technology, Lublin, Poland Author https://orcid.org/0000-0001-8790-9417
  • Franciszek Burdan 1. Radio-Diagnostic Department, St John’s Cancer Center, Lublin, Poland; 2. Department of Human Anatomy, Medical University in Lublin, Lublin, Poland Author https://orcid.org/0000-0001-5305-8829
  • Jacek Wojcierowski Department of Medical Genetics Medical University in Lublin, Lublin, Poland Author https://orcid.org/0000-0002-7936-491X

DOI:

https://doi.org/10.12923/

Keywords:

Endometrial cancer, MacroArray Technique, gene expression profile

Abstract

Endometrial  cancer (EC) is one of the most common gynaecological malignancy. Unfortunatelly, molecular pathogenesis of this neoplasm remains poorly understood. More than 90% od EC cases are sporadic and they can be divided into two main subgroups. The first group consists of oestrogen-related tumours that occur in pre and post-menopausal women and are frequently proceded by endometrial hyperplasia. These tumours are usually associated with abnormalities of DNA-mismatch repair genes, k-ras, PTEN and beta-catenin. The second group consists of tumours that occurs mainly in post-menopausal women and which are usually not related to oestrogen. These tumours are characterized by abnormalities of p53 and HER2/neu. The aim of our study was to profile expression of cellular receptor genes to candidate those typical for tumor grade or clinical stage by the mean of macroArray technique.

Based on Kruskal-Wilis test we pointed out nine genes encoding cellular receptor proteins showing statistically significant over or under-expression (4 and 5 genes respectively) depending tumor grade. The analysis of statistic dependences between gene expression profiles and clinical stage of tumor pointed out 15 genes encoding cellular receptor proteins the expressions of which were altered showing statistical significance for different clinical stages. It is worthy to note that understanding of mechanisms underlying alternation of genes expression is a real key to establish new prognostic factors and tailored therapy for endometrial cancer.

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Published

2012-10-24

How to Cite

Kubiatowski, T., Starosławska, E., Szumiło, J., Czarnocki, K. J., Burdan, F., & Wojcierowski, J. (2012). Analysis of expression profile of genes encoding cellular receptor proteins in endometrial cancer. Current Issues in Pharmacy and Medical Sciences, 24(4), 211-218. https://doi.org/10.12923/