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Immunotherapy-Mediated Thyroid Dysfunction: Genetic Risk and Impact on Outcomes with PD-1 Blockade in Non-Small Cell Lung Cancer. | LitMetric

AI Article Synopsis

  • The study investigates how genetic differences in immunity affect thyroid-related immune adverse events (irAEs) in patients with non-small cell lung cancer (NSCLC) undergoing immune checkpoint inhibitor (CPI) therapy at two medical centers.
  • Out of 744 patients, 13% experienced thyroid irAEs, which correlated with better progression-free survival, and a developed polygenic risk score (PRS) for hypothyroidism effectively predicted the likelihood of these irAEs in both clinical cohorts.
  • While thyroid irAEs were linked to improved treatment responses, the PRS for hypothyroidism did not identify who would benefit from CPI therapy, suggesting more research is needed into potential genetic links between various irAEs and

Article Abstract

Purpose: Genetic differences in immunity may contribute to toxicity and outcomes with immune checkpoint inhibitor (CPI) therapy, but these relationships are poorly understood. We examined the genetics of thyroid immune-related adverse events (irAE).

Experimental Design: In patients with non-small cell lung cancer (NSCLC) treated with CPIs at Memorial Sloan Kettering (MSK) and Vanderbilt University Medical Center (VUMC), we evaluated thyroid irAEs. We typed germline DNA using genome-wide single-nucleotide polymorphism (SNP) arrays and imputed genotypes. Germline SNP imputation was also performed in an independent Dana-Farber Cancer Institute (DFCI) cohort. We developed and validated polygenic risk scores (PRS) for hypothyroidism in noncancer patients using the UK and VUMC BioVU biobanks. These PRSs were applied to thyroid irAEs and CPI response in patients with NSCLC at MSK, VUMC, and DFCI.

Results: Among 744 patients at MSK and VUMC, thyroid irAEs occurred in 13% and were associated with improved outcomes [progression-free survival adjusted HR (PFS aHR) = 0.68; 95% confidence interval (CI), 0.52-0.88]. The PRS for hypothyroidism developed from UK Biobank predicted hypothyroidism in the BioVU dataset in noncancer patients [OR per standard deviation (SD) = 1.33, 95% CI, 1.29-1.37; AUROC = 0.6]. The same PRS also predicted development of thyroid irAEs in both independent cohorts of patients treated with CPIs (HR per SD = 1.34; 95% CI, 1.08-1.66; AUROC = 0.6). The results were similar in the DFCI cohort. However, PRS for hypothyroidism did not predict CPI benefit.

Conclusions: Thyroid irAEs were associated with response to anti-PD-1 therapy. Genetic risk for hypothyroidism was associated with risk of developing thyroid irAEs. Additional studies are needed to determine whether other irAEs also have shared genetic risk with known autoimmune disorders and the association with treatment response.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815444PMC
http://dx.doi.org/10.1158/1078-0432.CCR-21-0921DOI Listing

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