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Published on: April 11, 2019
Hyperprogression under Immune Checkpoint Inhibitor: a potential role for germinal immunogenetics
Sadal Refae1, Jocelyn Gal2, Patrick Brest3
1University Côte d'Azur, Centre Antoine Lacassagne, Oncopharmacology Unit, Nice, France.
Certain genetic variations, specifically single nucleotide polymorphisms (SNPs) in VEGFR2 and PD-L1 genes, may predict hyperprogressive disease (HPD) in cancer patients receiving immunotherapy. This finding suggests immunogenetics could be key in predicting treatment response.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Hyperprogressive disease (HPD) is an adverse response to immune checkpoint inhibitors (ICIs) like anti-PD-1/anti-PD-L1 agents.
- The host's genetic factors may influence the development of HPD.
Purpose of the Study:
- To investigate whether single nucleotide polymorphisms (SNPs) in immune-related genes are associated with HPD in cancer patients treated with ICIs.
- To identify potential genetic biomarkers for predicting HPD.
Main Methods:
- DNA from 98 cancer patients receiving ICI monotherapy was analyzed for SNPs in PD-1, PD-L1, IDO1, and VEGFR2 genes.
- Tumor growth kinetics were assessed using the TGKR (tumor growth ratio), with HPD defined as TGKR≥2.
- Univariate and multivariate analyses were performed to identify associations between HPD and genetic variations, age, and toxicity.
Main Results:
- HPD was observed in 14% of patients and was linked to shorter overall survival.
- Significant associations were found between HPD and older age (≥70 years), immune-related toxicity, and specific SNPs in VEGFR2 (rs1870377) and PD-L1 (rs2282055).
- Multivariate analysis confirmed age, VEGFR2 rs1870377, and PD-L1 rs2282055 as independent predictors of HPD.
Conclusions:
- Specific SNPs in VEGFR2 and PD-L1, along with older age, are associated with an increased risk of HPD.
- Immunogenetic profiling may offer valuable predictive biomarkers for ICI therapy.
- Further research is warranted to integrate immunogenetics into clinical decision-making for cancer immunotherapy.
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