news, journals and articles from all over the world.
Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response. If validated in clinical trials, the technology could help scientists overcome a major hurdle to developing personalized immunotherapies and vaccines.
Investigators at the Johns Hopkins Kimmel Cancer Center and its Bloomberg~Kimmel Institute for Cancer Immunotherapy have found that a subset of mutations within the overall TMB, termed “persistent mutations,” are less likely to be edited out as cancer evolves, rendering tumors continuously visible to the immune system and predisposing them to respond to immunotherapy.
Johns Hopkins Kimmel Cancer Center thoracic cancer and cancer genomics experts reported promising new findings and studies in mesothelioma, lung cancer and melanoma at the annual meeting of the American Society of Clinical Oncology (ASCO), the world’s leading professional organization for physicians and oncology professionals caring for cancer patients.
English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
Urdu