New diagnostic index for prediction of severe irAEs in patients with metastatic melanoma taking checkpoint inhibitors.

Authors

Natalia Zhukova

Natalia V. Zhukova

Saint-Petersburg State University, Medical Faculty, Saint-Petersburg, Russian Federation

Natalia V. Zhukova , Rashida Orlova , Anna Malkova , Ekaterina Kaledina , Alexandra Demchenkova , Polina Naymushina , V Nazarov , A Mazing , S Lapin , Natalia P. Beliak , Y Shoenfeld

Organizations

Saint-Petersburg State University, Medical Faculty, Saint-Petersburg, Russian Federation, Saint-Petersburg State University, Saint-Petersburg, Russian Federation, SPb SBIH City Clinical Oncology Dispensary, Saint-Petersburg, Russian Federation, Saint-Petersburg State University, Saint Petersburg, Russian Federation, Saint-Petersburg State University, St. Petersburg, Russian Federation, Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russia, Saint Petersburg, Russian Federation, Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russian Federation, Saint Petersburg, Saint Petersburg, Russian Federation, Ariel university, Ariel, Israel, Ariel, Israel

Research Funding

No funding received

Background: Immune-related adverse events (irAEs) occur in up to 50% of patients treated with immune checkpoint inhibitors (ICI). Severe forms of toxicity are observed in 3% of patients and require systemic steroid therapy and constant monitoring. One of the considered predictor biomarkers of irAEs development is HLA-genotypes. This research aims to evaluate the diagnostic significance of HLA-DRB1 genotypes and other clinical, laboratory parameters to predict the development of irAEs. Methods: The study involved 28 patients (pts) with metastatic melanoma taking ICI (nivo 53.6%, ipi+nivo 32.1%, other 14.3%). The PD-L1 expression, HLA-DRB1 genotype were evaluated. After 2-3 months the development of irAES was assessed. The complications of 3-4 grade or multi-organ damage were termed as a severe irAEs. Statistical analysis was performed in GraphPad Prism 6 (Graph Pad Software, USA) using Fisher, Mann-Whitney, ROC statistical analysis. The project is supported by a grant (14. W03.31.0009). Results: Different IrAEs developed in 57.1% (16/28) of patients, while severe irAEs in 35.7% (10/28). Among all patients HLA-DRB1 genotypes associated with the risk of autoimmune diseases were found in 78.5% (22/28). The PD-L1 expression was detected in 60.7% (17/28) of individuals.Combination treatment increases the risk of toxicity, p = 0.003, with a diagnostic sensitivity (S) of 56% and a diagnostic specificity (Sp) of 100% (RR = 2.71, OR = 31.67). The analysis of specific complications revealed associations between HLA-DRB1*04 with diabetes mellitus, p = 0.026 (OR = 33.57, S = 100%, Sp = 88.5%), HLA-DRB1*04/15 with autoimmune hepatitis or increased transaminases, p = 0.037 (OR = 17.27, S = 100%, Sp = 72%). An index based on the parameters studied (HLA-DRB1, the absence of PD-L1 expression, type of treatment) was created. With index value ≥2 a sensitivity for predicting severe toxicity is 40.00% and a specificity is 83.33%, p = 0.0126. Conclusions: According to the results obtained it can be assumed that the development of severe forms of irAES has a multifactorial origin, in particular, combination therapy, the absence of PD-L1 expression, which can lead to the loss of ICI drug specificity, and the presence of HLA-DRB1 genotypes associated with the risk of developing autoimmune diseases. The new diagnostic index to predict severe complications based on these parameters was created and showed a sensitivity of 40.00% and a specificity of 83.33%. The authors consider the limitations of the study, such as the small sample, the short observational period.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Biologic Correlates

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e21565)

DOI

10.1200/JCO.2022.40.16_suppl.e21565

Abstract #

e21565

Abstract Disclosures

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