Daniel A Pomeranz Krummel1, Tahseen H Nasti2, Benjamin Izar3, Robert H Press4, Maxwell Xu1, Lindsey Lowder5, Laura Kallay1, Manali Rupji6, Havi Rosen1, Jing Su7, Walter Curran8, Jeffrey Olson9, Brent Weinberg10, Matthew Schniederjan5, Stewart Neill5, David Lawson11, Jeanne Kowalski12, Mohammad K Khan13, Soma Sengupta14. 1. Department of Neurology, University of Cincinnati College of Medicine, Cincinnati, Ohio. 2. Department of Microbiology and Immunology, Emory University, Atlanta, Georgia. 3. Columbia Center for Translational Immunology, Columbia University Medical Center, New York City, New York. 4. Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia. 5. Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia. 6. Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia. 7. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina. 8. Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia; Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia. 9. Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia; Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia. 10. Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia. 11. Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia; Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, Georgia. 12. Department of Oncology, LIVESTRONG Cancer Institutes, Dell Medical School, University of Texas, Austin, Texas. 13. Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia; Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia. Electronic address: drkhurram2000@gmail.com. 14. Department of Neurology, University of Cincinnati College of Medicine, Cincinnati, Ohio; University of Cincinnati Gardner Neuroscience Institute, Cincinnati, Ohio. Electronic address: soma.sengupta@uc.edu.
Abstract
PURPOSE: Melanoma brain metastases (MBM) occur in ∼50% of melanoma patients. Although both radiation therapy (RT) and immune checkpoint inhibitor (ICI) are used alone or in combination for MBM treatment, the role of this combination and how these treatments could best be sequenced remains unclear. METHODS AND MATERIALS: We conducted a retrospective analysis of patients with resected MBM who underwent treatment with RT, ICI, or a combination of RT and ICI. Among the latter, we specifically investigated the differential gene expression via RNA-sequencing between patients who received RT first then ICI (RT → ICI) versus ICI first then RT (ICI → RT). We used a glycoprotein-transduced syngeneic melanoma mouse model for validation experiments. RESULTS: We found that for patients with resected MBM, a combination of RT and ICI confers superior survival compared with RT alone. Specifically, we found that RT → ICI was superior compared with ICI → RT. Transcriptome analysis of resected MBM revealed that the RT → ICI cohort demonstrated deregulation of genes involved in apoptotic signaling and key modulators of inflammation that are most implicated in nuclear factor kappa-light-chain-enhancer of activated B cells signaling. In a preclinical model, we showed that RT followed by anti-programmed death-ligand 1 therapy was superior to the reverse sequence of therapy, supporting the observations we made in patients with MBM. CONCLUSIONS: Our study provides initial insights into the optimal sequence of RT and ICI in the treatment of MBM after surgical resection. Prospective studies examining the best sequence of RT and ICI are necessary, and our study contributes to the rationale to pursue these.
PURPOSE:Melanoma brain metastases (MBM) occur in ∼50% of melanomapatients. Although both radiation therapy (RT) and immune checkpoint inhibitor (ICI) are used alone or in combination for MBM treatment, the role of this combination and how these treatments could best be sequenced remains unclear. METHODS AND MATERIALS: We conducted a retrospective analysis of patients with resected MBM who underwent treatment with RT, ICI, or a combination of RT and ICI. Among the latter, we specifically investigated the differential gene expression via RNA-sequencing between patients who received RT first then ICI (RT → ICI) versus ICI first then RT (ICI → RT). We used a glycoprotein-transduced syngeneic melanomamouse model for validation experiments. RESULTS: We found that for patients with resected MBM, a combination of RT and ICI confers superior survival compared with RT alone. Specifically, we found that RT → ICI was superior compared with ICI → RT. Transcriptome analysis of resected MBM revealed that the RT → ICI cohort demonstrated deregulation of genes involved in apoptotic signaling and key modulators of inflammation that are most implicated in nuclear factor kappa-light-chain-enhancer of activated B cells signaling. In a preclinical model, we showed that RT followed by anti-programmed death-ligand 1 therapy was superior to the reverse sequence of therapy, supporting the observations we made in patients with MBM. CONCLUSIONS: Our study provides initial insights into the optimal sequence of RT and ICI in the treatment of MBM after surgical resection. Prospective studies examining the best sequence of RT and ICI are necessary, and our study contributes to the rationale to pursue these.
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