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IL-8 blockade enhances anti-PD-1 therapeutic activity in renal cell carcinoma in a next-generation patient-derived
Ryuta Sobu1, Yuka Kobayashi2, Soki Kashima1,3
1Department of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Abstract:
Immune checkpoint inhibitors (ICIs) are widely used for advanced renal cell carcinoma (aRCC); however, predictive biomarkers of response remain insufficiently defined, and treatment resistance is common. We comprehensively analyzed clinical samples from 51 patients with aRCC treated with anti-PD-1 therapy to identify resistance factors. Immunohistochemical analysis of tissue microarrays showed no significant correlation between baseline tumor microenvironment features and therapeutic response. In contrast, peripheral blood flow cytometry demonstrated persistently elevated monocytic myeloid-derived suppressor cells (M-MDSCs) in non-responders. A next-generation patient-derived xenograft (NG-PDX) model established by co-engrafting tumor tissue and peripheral immune cells from the same patient recapitulated patient-specific tumor-immune interactions, using MHC class I/II-knockout immunodeficient mice. In this model, combined blockade of PD-1 and IL-8, a key chemokine recruiting MDSCs, tended to suppress tumor growth. These findings identify immune features associated with PD-1 resistance in aRCC and support NG-PDX models as a platform for evaluating rational immunotherapeutic combinations.
Insights
Predicting response to immune checkpoint inhibitors (ICIs) in advanced renal cell carcinoma (aRCC) is challenging. Persistently elevated monocytic myeloid-derived suppressor cells (M-MDSCs) in blood indicate resistance to anti-PD-1 therapy.
Area of Science:
- Oncology
- Immunology
- Translational Medicine
Background:
- Immune checkpoint inhibitors (ICIs) are a standard treatment for advanced renal cell carcinoma (aRCC).
- Predictive biomarkers for ICI response in aRCC are lacking, and treatment resistance is a significant clinical challenge.
- Identifying factors contributing to ICI resistance is crucial for improving patient outcomes.
Purpose of the Study:
- To identify predictive biomarkers and resistance factors for anti-PD-1 therapy in patients with aRCC.
- To establish and validate a novel patient-derived xenograft (PDX) model for studying tumor-immune interactions in aRCC.
- To explore potential therapeutic strategies for overcoming PD-1 resistance in aRCC.
Main Methods:
- Comprehensive analysis of clinical samples from 51 aRCC patients treated with anti-PD-1 therapy.
- Immunohistochemical analysis of tumor microenvironment features and peripheral blood flow cytometry.
- Development of a next-generation patient-derived xenograft (NG-PDX) model using co-engraftment of tumor and immune cells in immunodeficient mice.
Main Results:
- No significant correlation was found between baseline tumor microenvironment features and anti-PD-1 response.
- Persistently elevated monocytic myeloid-derived suppressor cells (M-MDSCs) in peripheral blood were associated with non-response to anti-PD-1 therapy.
- The NG-PDX model successfully recapitulated patient-specific tumor-immune interactions, and combined PD-1 and IL-8 blockade showed potential in suppressing tumor growth.
Conclusions:
- M-MDSCs in peripheral blood may serve as a predictive biomarker for anti-PD-1 therapy in aRCC.
- NG-PDX models offer a valuable platform for evaluating novel immunotherapeutic combinations and understanding resistance mechanisms.
- Targeting IL-8 in combination with PD-1 blockade warrants further investigation for overcoming ICI resistance in aRCC.
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