TY - JOUR
T1 - Genetic determinants of immune-related adverse events in patients with melanoma receiving immune checkpoint inhibitors
AU - Abdel-Wahab, Noha
AU - Diab, Adi
AU - Yu, Robert K.
AU - Futreal, Andrew
AU - Criswell, Lindsey A.
AU - Tayar, Jean H.
AU - Dadu, Ramona
AU - Shannon, Vickie
AU - Shete, Sanjay S.
AU - Suarez-Almazor, Maria E.
N1 - Funding Information:
This study was funded by a Thrive grant from the Health and Environmental Science Institute to perform this study (Grant Thrive FP00000078). The funding agency had no role in the study’s design; collection, analysis, or interpretation of data; in the writing of the report; or in the decision to submit this paper for publication. The University of Texas MD Anderson Cancer Center is supported in part by the National Institutes of Health through Cancer Center Support Grant P30CA016672 and CA016672 (ATGC).
Funding Information:
We are grateful to Erica Goodoff, from the Department of Scientific Publications, Research Medical Library at The University of Texas MD Anderson Cancer Center for her valuable contribution. We are also grateful to Haidee Chancoco, from the Biospecimen Extraction Resource of MD Anderson Cancer Center for samples processing and DNA extraction.
Publisher Copyright:
© 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/7
Y1 - 2021/7
N2 - Background: Immune checkpoint inhibitors (ICIs) can cause profound immune-related adverse events (irAEs). The host genetic background is likely to play a role in irAE susceptibility because the presentation of toxicity varies among patients and many do not develop irAEs despite continued ICI use. We sought to identify potential genetic markers conferring risk for irAEs. Methods: We conducted a pilot exploratory study in 89 melanoma patients who received ICIs (44 with irAEs, and 45 without irAEs after at least 1 year from starting treatment). Genotyping was performed using the Infinium Multi-Ethnic Global-8 v1.0 Bead Chip. The genotype data were extracted using PLINK (v1.90b3.34) and processed for quality control. Population structure-based clustering was carried out using IBS matrix, pairwise population concordance test (p < 1 × 10–3), and phenotype distribution for all study participants, resulting in seven population structure-based clusters. In the analytical stage, 599,931 variants in autosomal chromosomes were included for the association study. The association test was performed using an additive genetic model with exact logistic regression, adjusted for age, sex, and population cluster. Results: A total of 30 variants or single-nucleotide polymorphisms with p < 1 × 10–4 were identified; 12 were associated with an increased risk of irAEs, and the remaining 18 were associated with a decreased risk. Overall, nine of the identified single-nucleotide polymorphisms mapped to eight unique genes that have been associated with autoimmunity or inflammatory diseases. Conclusion: Several genetic variants associated with irAEs were identified. Additional larger studies are needed to validate these findings and establish their potential functional relevance.
AB - Background: Immune checkpoint inhibitors (ICIs) can cause profound immune-related adverse events (irAEs). The host genetic background is likely to play a role in irAE susceptibility because the presentation of toxicity varies among patients and many do not develop irAEs despite continued ICI use. We sought to identify potential genetic markers conferring risk for irAEs. Methods: We conducted a pilot exploratory study in 89 melanoma patients who received ICIs (44 with irAEs, and 45 without irAEs after at least 1 year from starting treatment). Genotyping was performed using the Infinium Multi-Ethnic Global-8 v1.0 Bead Chip. The genotype data were extracted using PLINK (v1.90b3.34) and processed for quality control. Population structure-based clustering was carried out using IBS matrix, pairwise population concordance test (p < 1 × 10–3), and phenotype distribution for all study participants, resulting in seven population structure-based clusters. In the analytical stage, 599,931 variants in autosomal chromosomes were included for the association study. The association test was performed using an additive genetic model with exact logistic regression, adjusted for age, sex, and population cluster. Results: A total of 30 variants or single-nucleotide polymorphisms with p < 1 × 10–4 were identified; 12 were associated with an increased risk of irAEs, and the remaining 18 were associated with a decreased risk. Overall, nine of the identified single-nucleotide polymorphisms mapped to eight unique genes that have been associated with autoimmunity or inflammatory diseases. Conclusion: Several genetic variants associated with irAEs were identified. Additional larger studies are needed to validate these findings and establish their potential functional relevance.
KW - Checkpoint inhibitors
KW - Genetics
KW - Immune-related adverse events
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U2 - 10.1007/s00262-020-02797-0
DO - 10.1007/s00262-020-02797-0
M3 - Article
C2 - 33409738
AN - SCOPUS:85099026630
SN - 0340-7004
VL - 70
SP - 1939
EP - 1949
JO - Cancer Immunology, Immunotherapy
JF - Cancer Immunology, Immunotherapy
IS - 7
ER -