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ORIGINAL ARTICLE
Year : 2016  |  Volume : 144  |  Issue : 3  |  Page : 359-365

Effect of p53 codon 72 polymorphism on the survival outcome in advanced stage cervical cancer patients in India


1 Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, India
2 Department of Radiation Oncology, Tata Memorial Hospital, Parel, Mumbai, India

Correspondence Address:
Rita Mulherkar
ACTREC, Tata Memorial Centre, Kharghar, Navi Mumbai - 410 210, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-5916.198685

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Background & objectives: The Arg>Pro polymorphism in codon 72 of p53 gene is known to affect the susceptibility of cervical cancer differently in different population worldwide although information regarding its role in determining survival status and disease outcome in patients is lacking. The present study was conducted to determine the genotype frequency and prognostic role of p53 codon 72 Arg>Pro polymorphism in patients with advanced stage cervical cancer in India. Methods: The p53 codon 72 polymorphism was determined in tumour biopsies (n = 107) and matched blood samples (n = 19) in cervical cancer patients using polymerase chain reaction-restriction fragment length polymorphism method (PCR-RFLP). Effect of p53 genotype on the overall survival (OS) and recurrence-free survival (RFS) was analyzed. Individual Arg or Pro alleles were studied for their significance on survival as Pro carriers (Pro/Pro + Arg/Pro) versus Arg/Arg individuals or Arg carriers (Arg/Arg + Arg/Pro) versus Pro/Pro individuals. Results: The frequencies for Arg/Arg, Arg/Pro and Pro/Pro genotypes were 27.2, 49.5 and 23.3 per cent, respectively. There was no significant difference in the genotypes with respect to patients' OS or RFS. Interpretation & conclusions: The findings of our study indicated that p53 codon 72 polymorphism might not be an independent marker in predicting clinical outcome in advanced stage cervical cancer patients. Further studies need to be done in larger samples to confirm these findings.


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