Dietary and clinical data were prospectively collected from 91 patients receiving ICB between 20 for advanced melanoma in the UK and the Netherlands. Results There were a total of 44 Dutch participants (mean age, 59.43 years 22 women ) and 47 British participants (mean age, 66.21 years 15 women ). Main Outcomes and Measures Clinical end points were defined as overall response rate (ORR), progression-free survival at 12 months (PFS-12), and immune-related adverse events that were grade 2 or higher. Dietary intake was assessed through food frequency questionnaires before treatment. Objective To investigate the association between habitual diet and response to treatment with ICB.ĭesign, Setting, and Participants This multicenter cohort study (the PRIMM study) was conducted in cancer centers in the Netherlands and UK and included 91 ICB-naive patients with advanced melanoma who were receiving ICB between 20.Įxposures Patients were treated with anti–programmed cell death 1 and anti–cytotoxic T lymphocyte–associated antigen 4 monotherapy or combination therapy. Nutrition, through its association with the immune system and gut microbiome, is a poorly explored but appealing target with potential to improve the efficacy and tolerability of ICB. However, there is still large variability in the response to treatment with ICB, and patients experience a range of immune-related adverse events of differing severity. Durable responses are observed for 40% to 60% of patients, depending on treatment regimens. Importance Immune checkpoint blockade (ICB) has improved the survival of patients with advanced melanoma. Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment.Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.Description of outliers that corresponded to an implausible consumption Overview of literature linking cancer, nutrition, and immune checkpoint blockadeĮTable 11. Results of the generalized additive models using individual food groupsĮTable 10. Results of the generalized additive models using nutrientsĮTable 9. Results of the generalized additive models using the top 5 diet PCsĮTable 8. Loadings of food groups per dietary pattern identified by PCA and their correlationsĮTable 7. Results of the generalized additive models using diet scoresĮTable 6. Backward selection for variable importanceĮTable 5. Relationships between treatment outcomes and specific nutrients and food groupsĮTable 3. Relationships between the probability of response and PCA-derived dietary patternsĮFigure 6. Dietary patterns derived from PCAĮFigure 5. Principal component analysis (PCA) per cohortĮFigure 4. Results of the cross-prediction analysisĮFigure 3. Flowchart depicting the design of the PRIMM-studyĮFigure 2.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |