Investigating the Impact of Mitochondrial Mutations on Chemotherapy Resistance in Cervical Cancer
Subject Areas : geneticsAyat Mohebifar 1 , Katayoun Mayeli 2 , Saber Safinejad 3 , kyumars safinejad 4
1 - PhD Student, Young and Elite Researchers Club, Department of Biology, Faculty of Science, Islamic Azad University, Varamin Branch, Pishva, Tehran, Iran
2 - MS, Department of Biology, Faculty of Science, East Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
4 - Assistant Prof ,Department of Biology, Faculty of Science, Borujerd Branch, Islamic Azad University, Borujerd, Iran.
Keywords: Cervical cancer, chemotherapy resistance, mitochondrial DNA mutations,
Abstract :
Introduction: Cervical cancer is one of the most common malignancies in women, with chemotherapy serving as a primary treatment modality. However, the emergence of drug resistance in some patients reduces treatment efficacy. Studies indicate that mitochondrial DNA (mtDNA) mutations may play a role in regulating energy metabolism and cellular stress responses. This study aimed to investigate the impact of A1555G, A3243G, and A7445G mtDNA mutations on chemotherapy resistance in cervical cancer patients.
Materials and Methods: This study included 100 cervical cancer patients undergoing chemotherapy and 100 healthy controls. DNA was extracted using the phenol-chloroform method. Target mutations were analyzed via PCR-RFLP and confirmed by sequencing. The association between mutations and treatment response was evaluated using statistical tests.
Results: Results demonstrated that the A3243G mutation was significantly associated with increased chemotherapy resistance (P<0.05). In contrast, A1555G and A7445G mutations showed no significant correlation with drug resistance (P>0.05).
Conclusion: This study suggests the A3243G mutation may serve as a potential biomarker for predicting chemotherapy resistance in cervical cancer patients. A deeper understanding of the underlying mechanisms could facilitate the development of personalized treatment strategies and enhance the efficacy of anticancer therapies.
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