Syntax Literate : Jurnal Ilmiah Indonesia
Jurnal Ilmiah Indonesia

A Prognostic Model Based on XRCC1 Gene Polymorphisms and Clinicopathological Factors to Predict One-Year Survival of Advanced Epithelial Ovarian Cancer Patients

Chamim Singoprawiro (Department of Obstetrics and Gynecology, Fatmawati General Hospital, Jakarta)
Iswari Setianingsih (Eijkman Molecular Biology Institute, Jakarta
University of Indonesia, Depok)

Bambang Sutrisna (Eijkman Molecular Biology Institute, Jakarta
University of Indonesia, Depok)

Nuryati C Siregar (Eijkman Molecular Biology Institute, Jakarta
University of Indonesia, Depok)

Andrijono Andrijono (Eijkman Molecular Biology Institute, Jakarta
University of Indonesia, Depok)



Article Info

Publish Date
22 Jan 2022

Abstract

Prognosis of advanced stage epithelial ovarian cancer (EOC) patients remains poor due to recurrence and disease progression after surgery and chemotherapy. Polymorphism in the genes involved in DNA repair, i.e. x-ray repair cross complementing protein-1 (XRCC1) and XRCC3 could alter function, diminish repair kinetics and may play a role in tumor resistance to therapy. This study was aimed to predict the prognosis of advanced stage EOC patients based on the polymorphism of XRCC1 and XRCC3 genes and the clinicopathology. This was an ambispective cohort study in EOC patients treated in Fatmawati General Central Hospital and its network hospitals in Jakarta between 2011 and 2016. Demographic data and clinicopathology was obtained from the medical record. Polymorphisms of XRCC1 and XRCC3 genes were detected by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Survival analyses were performed using the Kaplan-Meier curve and Cox proportional hazard test. Multivariate analyses were performed to obtain prediction model for 1-year survival. Scoring system was developed and tested using the receiver operating characteristic (ROC) curve analyses. A total of 129 eligible cases were included. Patients’ mean age was 49.6 years. Most patients (93.8%) were having stage III disease. Mortality at 1-year was associated with three independent variables, i.e. histopathology subtype, residual tumor > 1 cm, and XRCC1 gene Arg399Gln polymorphisms (Arg/Gln or Gln/Gln alleles). These prediction models gave 85.3% accuracy by ROC curve analysis and 82.7% posttest probability. Prognosis of advanced stage EOC patients can be predicted from several clinicopathological factors and XRCC1 gene polymorphisms. Validation study is needed to confirm these findings.

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Journal Info

Abbrev

syntax-literate

Publisher

Subject

Humanities Education Environmental Science Law, Crime, Criminology & Criminal Justice

Description

Pandemi Covid-19 ini menyebabkan terjadinya pencurian di berbagai daerah di Indonesia. Banyak pencuri melakukan tindakan mencuri karena kekurangan uang untuk memenuhi kebutuhan hidupnya akibat pandemi Covid-19. Hal tersebut membuat aparat harus memberikan sanksi kepada pencuri. Permasalahan dalam ...