Cecilie Oelvang Madsen, Marta Velasco Santiago, Evelina Martinenaite, Troels Holz Borch, Marco Donia, Inge Marie Svane, Morten Hansen
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引用次数: 0
Abstract
Adoptive cell therapy (ACT) with ex-vivo expanded tumor-infiltrating lymphocytes (TILs, TIL-ACT) has shown clinical efficacy in a significant proportion of patients with metastatic melanoma. To further target TIL-ACT towards responsive patients, identifying predictive biomarkers and understanding broader immune dynamics remain critical. This study investigated the peripheral blood immune landscape in 47 patients with metastatic melanoma undergoing TIL-ACT, assessing antitumor reactivity and peripheral immune cell profiles before and after treatment. Responders displayed increased frequency of circulating tumor-reactive cells post-treatment, and higher baseline levels of activated CD57-expressing T cells, serving as potential biomarkers of response. In contrast, persistent high serum levels of interleukin (IL)-6 and IL-8, higher frequencies of CD38-expressing T cells and regulatory T cells (Tregs) post-treatment, correlated with unfavorable outcomes. These findings contribute to understanding of the peripheral immune landscape associated with response to TIL-ACT, offering valuable insights into predictive biomarkers and mechanisms to improve patient selection.
期刊介绍:
Clinical & Experimental Immunology (established in 1966) is an authoritative international journal publishing high-quality research studies in translational and clinical immunology that have the potential to transform our understanding of the immunopathology of human disease and/or change clinical practice.
The journal is focused on translational and clinical immunology and is among the foremost journals in this field, attracting high-quality papers from across the world. Translation is viewed as a process of applying ideas, insights and discoveries generated through scientific studies to the treatment, prevention or diagnosis of human disease. Clinical immunology has evolved as a field to encompass the application of state-of-the-art technologies such as next-generation sequencing, metagenomics and high-dimensional phenotyping to understand mechanisms that govern the outcomes of clinical trials.