Polymorphisms in the gene encoding CYP1A2 influence prostate cancer risk and progression

• Published in: Oncology letters Vol. 25; no. 2; p. 85
• Main Authors: Vilčková, Marta, Škereňová, Mária, Dobrota, Dušan, Kaplán, Peter, Jurečeková, Jana, Kliment, Ján, Híveš, Márk, Dušenka, Róbert, Evin, Daniel, Knoško Brožová, Martina, Kmeťová Sivoňová, Monika
• Format: Journal Article
• Language: English
• Published: Greece Spandidos Publications 01.02.2023; Spandidos Publications UK Ltd; D.A. Spandidos
• Subjects: Antigens; Benzopyrene; Biopsy; Cancer; Chromosomes; Cytochrome P-450; Development and progression; Disease susceptibility; Drugs; Enzymes; Ethylenediaminetetraacetic acid; Family medical history; Genetic aspects; Genetic research; Health aspects; Meat; Metabolism; Metabolites; Oncology, Experimental; Prostate cancer; Risk factors; Single nucleotide polymorphisms; Software; Tizanidine; White people; Zileuton; Slovakia; prostate cancer; Slovak population; polymorphism; haplotype; CYP1A2
• ISSN: 1792-1074; 1792-1082
• DOI: 10.3892/ol.2023.13671

The role of the cytochrome P450 1A2 ( ) rs2472299, rs2470890 and rs11072508 polymorphisms in prostate cancer risk, disease progression and tumour development remains unclear. The potential associations of these three polymorphisms and haplotypes with prostate cancer susceptibility and its clinicopathological characteristics were therefore investigated. The present case-control study consisted of 522 patients with prostate cancer and 554 healthy controls. High-resolution melting analysis was used to determine the polymorphisms. No significant association in prostate cancer risk was seen for rs2472299 and rs11072508. However, a significantly decreased risk of prostate cancer was found for rs2470890 [odds ratio (OR), 0.67; P=0.02] in the recessive model. After analysis of the associations of clinical status and these three polymorphisms, the rs2470890 and rs11072508 polymorphisms showed a positive association with a higher Gleason score (rs2470890 OR, 1.36, P=0.04 in the allelic model; rs11072508 OR, 1.37, P=0.04 in the allelic model and OR, 1.60, P=0.03 in the dominant model). All three polymorphisms showed a significant positive association with pathological T stage in the additive, allelic and dominant genetic models (P<0.05). Haplotype analysis revealed that the most common haplotypes 'GTT' and 'ACC' were significantly associated with pathological T stages 3 and 4 (OR, 0.62; P=0.02 and OR, 1.54; P=0.03, respectively). A significant association was found between the 'GTT' haplotype and the Gleason score (OR, 0.71; P=0.03). In conclusion, these polymorphisms and haplotypes have the potential to predict prostate cancer disease progression.