Current Issues of Pharmacy and Medical Sciences

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

Annales UMCS, Sectio DDD, Pharmacia, Vol. XXIV, N 4, 22

TOMASZ KUBIATOWSKI1, ELŻBIETA STAROSŁAWSKA2,
JUSTYNA SZUMIŁO3, KRZYSZTOF J. CZARNOCKI4,7,
FRANCISZEK BURDAN5,8, JACEK WOJCIEROWSKI6

1 Department of Chemotherapy, St John’s Cancer Center, Lublin, Poland

2 Department of Chemotherapy, St John’s Cancer Center, Lublin, Poland

3 Department of Clinical Pathomorphology, Medical University in Lublin, Lublin, Poland

4 St John’s Cancer Center, Lublin, Poland

5 Radio-Diagnostic Department, St John’s Cancer Center, Lublin, Poland

6 Department of Medical Genetics Medical University in Lublin, Lublin, Poland

7 Occupational Hygiene and Ergonomic Dept., Lublin University of Technology, Lublin, Poland

8 Department of Human Anatomy, Medical University in Lublin, Lublin, Poland

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.

Files to download

Keywords

Endometrial cancer, MacroArray Technique, gene expression profile

Calendar

April 2021

Mon Tue Wed Thu Fri Sat Sun
      01 02 03 04
05 06 07 08 09 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30