Effects of CTLA-4 Single Nucleotide Polymorphisms on Toxicity of Ipilimumab-Containing Regimens in Patients With

Karlijn de Joode1, Alfonso Rojas Mora2, Ron H N van Schaik3

  • 1Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.

Insights

Single nucleotide polymorphisms (SNPs) in the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) gene may predict treatment outcomes in melanoma patients receiving ipilimumab. Specific CTLA-4 SNPs were associated with adverse events and overall survival, suggesting their potential as predictive biomarkers.

Area of Science:

  • Immunogenetics
  • Oncology
  • Pharmacogenomics

Background:

  • Cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) gene polymorphisms (SNPs) are linked to autoimmunity and may serve as markers for immunotherapy outcomes in melanoma.
  • Predictive SNPs for ipilimumab treatment response in melanoma are not yet defined.

Purpose of the Study:

  • To analyze CTLA-4 SNPs in a large cohort of melanoma patients treated with ipilimumab.
  • To investigate correlations between CTLA-4 SNPs and treatment-related outcomes, including adverse events and survival.

Main Methods:

  • Genotyping of 10 CTLA-4 SNPs using matrix-assisted laser desorption/ionization-time of flight mass spectrometry in 361 advanced-stage melanoma patients.
  • Statistical analysis of associations between allele genotypes and grade ≥3 adverse events (AEs) and survival using logistic regression and Cox proportional hazard models.

Main Results:

  • A TT-genotype of the -1722T>C SNP was linked to a lower incidence of severe AEs (P=0.049).
  • A GG-genotype of the CT60G>A SNP correlated with a higher incidence of severe AEs (P=0.026).
  • TT-genotype of Jo27T>C SNP (P=0.056) and GG-genotype of Jo31G>T (P=0.046) were associated with overall survival.

Conclusions:

  • CTLA-4 SNPs show potential as predictive biomarkers for treatment-related outcomes in melanoma patients receiving ipilimumab.
  • Further studies are required to validate these findings and fully utilize CTLA-4 SNPs for predicting ipilimumab adverse events.

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