Translesion polymerase genes polymorphisms and haplotypes influence survival of osteosarcoma patients

Katja Goričar1, Viljem Kovač, Janez Jazbec

  • 11 Pharmacogenetics Laboratory, Institute of Biochemistry , Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia .

Insights

Specific gene variants in translesion polymerases REV1 and REV3L may predict how well osteosarcoma patients respond to cisplatin chemotherapy, impacting their survival outcomes.

Area of Science:

  • Genetics and Molecular Biology
  • Oncology
  • Pharmacogenomics

Background:

  • Chemotherapeutic agents like cisplatin induce DNA damage, crucial for their cytotoxic effect.
  • Translesion polymerases (TLPs) are involved in repairing DNA interstrand crosslinks, a severe form of DNA damage.
  • Altered TLP gene expression can influence sensitivity to DNA-damaging agents.

Purpose of the Study:

  • To investigate the association between polymorphisms in translesion polymerase genes REV1 and REV3L and survival in osteosarcoma patients treated with cisplatin-based chemotherapy.
  • To determine if specific REV1 and REV3L gene variants can serve as predictive biomarkers for treatment outcomes.

Main Methods:

  • Genotyping of common functional tag polymorphisms in REV1 (rs3087403) and REV3L (rs462779) was performed in 66 osteosarcoma patients.
  • Survival analysis, including event-free survival (EFS) and overall survival (OS), was conducted using Cox regression.
  • The impact of individual polymorphisms and their combinations on patient survival was assessed.

Main Results:

  • Carriers of at least one polymorphic REV1 rs3087403 allele showed significantly shorter EFS and OS.
  • A significant association was found between the REV1 rs3087403 polymorphism and reduced survival.
  • The combined effect of REV1 rs3087403 and REV3L rs462779 polymorphisms was significantly associated with shorter OS and EFS.

Conclusions:

  • Polymorphisms in translesion polymerase genes REV1 and REV3L may influence the survival of osteosarcoma patients undergoing cisplatin-based chemotherapy.
  • These genetic variations could potentially serve as predictive biomarkers for treatment response and patient outcomes.
  • This study highlights the importance of pharmacogenomics in personalizing osteosarcoma treatment strategies.

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