Genetic polymorphisms and ovarian cancer risk and response to paclitaxel/cisplatin chemotherapy
نویسندگان
چکیده
Single nucleotide polymorphisms modulate the risk of developing ovarian cancer during lifetime. In this study we analyzed 12 polymorphic variants and 2 deletions in PGR, ABCB1, ABCG2, GSTT1, GSTM1, GSTP1, ATM, TP53 and ATP7B genes. Ten genetic modifications were significantly associated with the risk of developing ovarian carcinoma in at least one of the groups under study. PGR gene polymorphisms’ impact on ovarian cancer risk was specific only for the group of the BRCA1 mutation carriers, which proves the difference in the modulation of ovarian cancer risk between sporadic and hereditary malignancies, including the breast-ovarian cancer group (as a cancer-prone group). The analyses showed also the importance of ATP7B gene in ovarian carcinogenesis, both studied variants of which significantly modulated the ovarian cancer risk in three out of four groups. Cumulative risk analysis revealed 3 unfavorable variants that significantly increased the risk of developing ovarian cancer, and also two favorable genotypes which protected against ovarian cancer. Survival analysis for carriers of favorable versus unfavorable genotypes emphasized the importance of regulation of the cell cycle and active transport of xenobiotics during paclitaxel/cisplatin chemotherapy. The unfavorable variants could facilitate carcinogenic process and once their carriers developed malignancy, their chances of survival were smaller. Our analyses also showed a strong genedosage effect with the decrease of progression-free survival for the carriers of two unfavorable genetic factors.
منابع مشابه
Genetic polymorphisms and gene-dosage effect in ovarian cancer risk and response to paclitaxel/cisplatin chemotherapy
BACKGROUND Ovarian malignancies are often diagnosed in advanced stage and at the same time resistance to treatment, both intrinsic and developed during treatment, is sometimes observed. These facts underscore the need for new markers of ovarian cancer risk, as well as markers of treatment effectiveness. METHODS In this study we genotyped 225 ovarian cancer patients, 64 breast and ovarian canc...
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