Ipilimumab, a fully human monoclonal antibody, which blocks cytotoxic T-lymphocyte antigen-4, has demonstrated an improvement in overall survival in 2 phase III trials of patients with advanced melanoma. To gain an understanding of its mechanism of action, the effects of ipilimumab on T-cell populations and on humoral immune responses were studied in patients with advanced melanoma from 2 phase II trials. Antibody levels against 5 tumor antigens were assessed at baseline and up to 12 weeks after ipilimumab treatment. Serologic reactivity to the cancer-testis antigen NY-ESO-1 increased by at least 5-fold at week 12 of treatment in 10% to 13% of patients. Increased antibody levels were also observed to the tumor antigens Melan-A, MAGE-A4, SSX2, and p53. Immunocompetence was evaluated with tetanus boosters administered before ipilimumab and pneumococcal and influenza vaccines given 5 days after ipilimumab treatment. At week 7, most patients who received ipilimumab and vaccine showed greater humoral responses relative to baseline titers. For peripheral T-cell populations, statistically significant increases in the percent of activated (HLA-DR) CD4 and CD8 T cells with concomitant decreases in naive CD4 and CD8 T cells were observed after ipilimumab treatment. These changes were evident by week 4 of treatment. Increases were also observed in central memory, effector memory, and activated ICOS CD4 T cells, but not in ICOS CD8 T cells or in FoxP3 CD4 regulatory T cells. These results suggest that ipilimumab can enhance immune responses mediated by different T-cell populations, and humoral immunity, in melanoma patients.
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Sci Rep
December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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December 2024
Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada.
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy, interpretability, and reducing dataset bias.
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December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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December 2024
Department of Orthopedic Surgery, Arthroscopy and Joint Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
The humeral head is the second most common anatomical site of osteonecrosis after the femoral head. Studies have reported satisfactory clinical outcomes after shoulder arthroplasty to treat osteonecrosis of the humeral head (ONHH). However, there are concerns regarding implant longevity in relatively young patients.
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December 2024
Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Pathogenic activating mutations in the fibroblast growth factor receptor 3 (FGFR3) drive disease maintenance and progression in urothelial cancer. 10-15% of muscle-invasive and metastatic urothelial cancer (MIBC/mUC) are FGFR3-mutant. Selective targeting of FGFR3 hotspot mutations with tyrosine kinase inhibitors (e.
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