TY - JOUR T1 - Effects of genetic polymorphisms of ERCC1, XRCC1, GSTP1, ABCB1, and CYP on prognosis of patients with non-small cell lung cancer receiving platinum-based chemotherapy TT - ERCC1, XRCC1, GSTP1, ABCB1 ve CYP genetik polimorfizmlerinin platin tabanlı kemoterapi alan küçük hücreli dışı akciğer kanseri hastalarının prognozu üzerine etkileri AU - Karagür, Ege Rıza AU - Alay, Tarık AU - Demiray, Aydın AU - Gököz-doğu, Gamze AU - Bir, Ferda AU - Akça, Hakan PY - 2025 DA - June Y2 - 2025 DO - 10.18663/tjcl.1654801 JF - Turkish Journal of Clinics and Laboratory JO - TJCL PB - DNT Ortadoğu Yayıncılık A.Ş. WT - DergiPark SN - 2149-8296 SP - 283 EP - 289 VL - 16 IS - 2 LA - en AB - Aim: Lung cancer has the greatest mortality rates among both men and women and is the primary cause of cancer-related fatalities globally. The effectiveness of chemotherapy as a treatment for lung cancer varies greatly from patient to patient. Genetic factors affect the effectiveness of chemotherapy.Material and Methods: Age of patients, types of lung cancer, smoking status, genetic profiles (ERCC-C8062A, ERCC-G28152A, GSTP1-A313G, ABCB1-C1236T, ABCB1-C3435T, CYP3A52B, CYP3A41B), clinical stages of cancer, and treatment were evaluated by Kaplan-Meier estimates, and a Cox regression model was conducted to assess survival probability and hazard of death of different groups.Results: Cox regression analysis revealed that ABCB1-C1236T and ABCB1-C3435T wild and heterozygous alleles, smoking, adenocarcinoma, and other types of cancer were used for predicting progression time in advanced-stage lung cancer patients. However, no variables were found to be significant predictors of progression time in early-stage lung cancer patients.Conclusions: Overall, our results imply that genetic variables may play a substantial influence in the rate of lung cancer progression and emphasize the need for tailored medication in the treatment of this disease. Discovering genetic markers that can predict the advancement time of lung cancer could assist clinicians in customizing treatment approaches for individual patients and improving the prognosis for people afflicted with this dreadful disease. KW - Lung cancer KW - NSCLC KW - Chemotherapy KW - Polymorphism KW - Platinum N2 - Amaç: Akciğer kanseri, hem erkekler hem de kadınlar arasında en yüksek ölüm oranlarına sahip ve küresel olarak kanserle ilişkili ölümlerde birinci sırada yer almaktadır. Kemoterapinin akciğer kanseri tedavisindeki verimliliği, genetik faktörlerin kemoterapinin etkinliğini etkilemesinden dolayı hastadan hastaya büyük ölçüde değişiklik göstermektedir.Gereç ve Yöntemler: Hastaların yaşı, akciğer kanseri tipleri, sigara içme durumu, genetik profili (ERCC-C8062A, ERCC-G28152A, GSTP1-A313G, ABCB1-C1236T, ABCB1-C3435T, CYP3A52B, CYP3A41B), kanserin klinik evreleri ve tedavi yöntemleri Kaplan-Meier tahminleri ve farklı grupların sağ kalma olasılıkları ve ölüm tehlikesini değerlendirmek amacıyla yapılan Cox regresyon modeli ile değerlendirildi.Bulgular: Progresyon süresini tahmin etmek için ileri evre akciğer kanseri hastalarında ABCB1-C1236T ve ABCB1-C3435T yabanıl ve heterozigot alelleri, sigara içme, adenokarsinom ve diğer kanser türlerinin kullanılabileceği, Cox regresyon analizi ile ortaya konulmuştur. Ancak, erken evre akciğer kanseri hastalarında progresyon süresini tahmin etmek için anlamlı bir değişken bulunamamıştır.Sonuçlar: Genel olarak, sonuçlarımız genetik değişkenlerin akciğer kanseri ilerleme oranında önemli bir etkiye sahip olabileceğini ve bu hastalığın tedavisinde kişiye özel ilaç tedavisine olan ihtiyacı vurgulamaktadır. Akciğer kanserinin progresyon süresini tahmin edebilecek genetik belirteçlerin keşfedilmesi, klinisyenlerin bireysel hastalar için tedavi yaklaşımlarını özelleştirmelerine ve bu ciddi hastalıktan muzdarip kişilerin prognozunu iyileştirmelerine yardımcı olabilir. CR - Thandra KC, Barsouk A, Saginala K, Aluru JS, Barsouk A. Epidemiology of lung cancer. Contemp Oncol (Poznan, Poland) 2021; 25: 45–52. CR - Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2024; 74: 229–63. 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