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Immunologic correlates in the course of treatment with immunomodulating antibodies
Benjamin Weide1, Anna Maria Di Giacomo2, Ester Fonsatti2
1Division of Dermatooncology, Department of Dermatology, University Medical Center Tübingen, Germany.
Abstract:
Monoclonal antibodies (Ab) targeting immune checkpoints like CTLA-4 or PD-1 have come of age in the treatment of metastatic melanoma and further approvals are expected for other malignancies like lung and renal cell cancer as well. However, the majority of patients still do not experience clinical benefit upon these therapies. Moreover, immune-related side effects and the costs of these therapies prompt the search for their precise mode of action and for biomarker discovery. Here, we describe different classes of immunologic correlates such as pharmacodynamic changes observed in all treated patients, correlates with response during treatment (surrogate markers) or at the time-point of tumor assessment, as well as predictive markers for response and for immune-related adverse events. This review gives an overview of available data about correlates analyzed in the serum, all in immune cell subsets in the peripheral blood or in tumor-infiltrating lymphocytes. We will discuss how to prospectively validate and integrate these parameters for routine assessment of patients in daily clinical practice and give an outlook on promising future directions of biomarker research.
Insights
Immune checkpoint inhibitors like CTLA-4 and PD-1 antibodies show promise but don't benefit all cancer patients. Research focuses on biomarkers to predict response and side effects for better treatment.
Area of Science:
- Immunology
- Oncology
- Pharmacology
Background:
- Monoclonal antibodies targeting immune checkpoints (e.g., CTLA-4, PD-1) are established treatments for metastatic melanoma and emerging for other cancers.
- A significant portion of patients do not achieve clinical benefit from these immunotherapies.
- The need for precise mechanisms of action, biomarker discovery, and management of immune-related side effects and costs is critical.
Purpose of the Study:
- To review and categorize immunologic correlates of immune checkpoint inhibitor therapy.
- To discuss the utility of various biomarkers, including pharmacodynamic changes, surrogate markers, and predictive markers for response and adverse events.
- To explore the integration of these biomarkers into clinical practice and future research directions.
Main Methods:
- Review of existing literature on immunologic correlates associated with immune checkpoint inhibitor therapy.
- Analysis of data from serum, peripheral blood immune cell subsets, and tumor-infiltrating lymphocytes.
- Discussion of prospective validation and clinical integration strategies for biomarkers.
Main Results:
- Identified different classes of immunologic correlates: pharmacodynamic changes, response correlates (surrogate markers), and predictive markers for response and immune-related adverse events.
- Summarized data on correlates analyzed in serum, peripheral blood immune cells, and tumor-infiltrating lymphocytes.
- Highlighted the importance of these correlates in understanding treatment efficacy and toxicity.
Conclusions:
- Immunologic correlates are crucial for understanding the efficacy and limitations of immune checkpoint inhibitors.
- Biomarker discovery and validation are essential for personalizing cancer treatment and improving patient outcomes.
- Future research should focus on prospective validation and integration of biomarkers into routine clinical practice.
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