PIK3CA and TP53 MUTATIONS and SALL4, PTEN and PIK3R1 GENE EXPRESSION LEVELS in BREAST CANCER
Autor: | Irem Peker, Mustafa Akkiprik, Ipek Erbarut Seven, Bahadir M. Gulluoglu, Ebubekir Dirican, Handan Kaya, Ayşe Özer, M. Umit Ugurlu |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Candidate gene PIK3R1 gene biology business.industry Biochemistry (medical) Clinical Biochemistry medicine.disease Tp53 mutation Biochemistry 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Breast cancer SALL4 030220 oncology & carcinogenesis medicine Cancer research biology.protein PTEN business Molecular Biology PI3K/AKT/mTOR pathway |
Zdroj: | Turkish Journal of Biochemistry. 45:515-523 |
ISSN: | 1303-829X 0250-4685 |
Popis: | Objective A high frequency of PI3K signalling pathway abnormalities and TP53 mutations are critical in the development and progression of breast cancer (BCa). We aimed to detect PIK3CA and TP53 mutations via an expression analysis of PIK3R1, PTEN and SALL4 and correlate the expression of these genes with clinical parameters of BCa. Materials and methods PIK3CA and TP53 mutations in BCa samples were analysed by High-Resolution Melting (HRM) analysis, followed by Sanger sequencing, and the expression levels of PIK3R1, PTEN and SALL4 were evaluated by RT-PCR methods. Results The frequency of PIK3CA and TP53 mutations was 42% and 38% according to the HRM and Sanger sequencing. There was a significantly high frequency of these mutations in ER( +), N0 and HER2( −) tumour samples. PIK3R1 and PTEN expression levels were high in tumour samples, whereas SALL4 expression was low. In patients with TP53 mutations, PIK3R1 expression was low, and this finding was statistically significant. PIK3R1 and PTEN expression levels showed statistically significant, respectively in G3 grades, ER(+), (PR)( +), HER2(+) and ER( +). Conclusions We suggest that these candidate genes could be potential prognostic biomarkers of BCa and that they should be considered in the evaluation of clinical parameters of BCa. |
Databáze: | OpenAIRE |
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