Analysis of biomarkers in melanoma patients receiving ICI treatments: pre- vs post in responders and progressors

Autor: Pirouz M Daftarian, Nadine Nadine, Orkash Hushur, Roxana Dronca, Navnita Dutta, Keith L Knutson
Rok vydání: 2022
Předmět:
Zdroj: The Journal of Immunology. 208:66.14-66.14
ISSN: 1550-6606
0022-1767
DOI: 10.4049/jimmunol.208.supp.66.14
Popis: Markers of immune related adverse events and response in patients treated with immune checkpoint inhibitors (ICI) may shed light into ICI resistance, T cell exhaustion and other combinatorial therapies. The elevated levels of these biomarkers have potential to predict if PD-1 or PD-1/CTLA-4 antagonist combination will be effective in a certain Melanoma patient. Therefore, it may potentially guide healthcare providers to change treatment plans. In this study, the ICI treatments we focused on were PD-1 or combination of PD-1/CTLA-4 blockades. The measurement of the biomarkers was conducted at Mayo Clinic, from serum samples obtained in 2 time points, pre-treatments and 2–3 months after the first ICI treatments. Validated IVD kits were used per manufacture’s instruction. Biomarkers could be measured using stored frozen serum samples according to the instructions on how the biomarkers will be measured. We investigated 13 biomarkers in the sera of 76 melanoma patients who received immune checkpoint therapies. The biomarkers tested were, Human ELAFIN ELISA, Human IL-18 ELISA, Reg3α + Universal kit, Anti-Nuclear Antibody Test System, FLUORO AID-1 Test for anti-mitochondrial antibodies, anti-smooth muscle antibodies and anti-parietal cell antibodies, Anti-MDA5 ELISA Kit, Anti-synthetase ELISA Skin, Antineutrophil cytoplasmic antibodies MPO-ANCA ELISA, Antineutrophil cytoplasmic antibodies PR3-ANCA ELISA, Dsg1, Dsg3 ELISA, BP180, BP230, type-VII collagen. When compared with the samples obtained before treatments, IL-18 levels significantly elevated (p value < 0.0001) in post treatment samples of non-responders. Further studies are needed to confirm if elevated IL-18 contribute to the biology of resistance to ICI therapies. Supported by MBLI
Databáze: OpenAIRE
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