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Fairness, through its many forms and definitions, has become an important issue facing the machine learning community. In this work, we consider how to incorporate group fairness constraints into kernel regression methods, applicable to Gaussian processes, support vector machines, neural network regression and decision tree regression. Further, we focus on examining the effect of incorporating these constraints in decision tree regression, with direct applications to random forests and boosted trees amongst other widespread popular inference techniques. We show that the order of complexity of memory and computation is preserved for such models and tightly binds the expected perturbations to the model in terms of the number of leaves of the trees. Importantly, the approach works on trained models and hence can be easily applied to models in current use and group labels are only required on training data.
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Background and Objective: Gastric cancer is the fifth most common cancer worldwide and the fourth leading cause of cancer-related death. Unfortunately, patients often present with advanced disease at diagnosis, which is directly related to its high mortality. Numerous trials, as early as the 1980's, have shown that cytotoxic chemotherapy improves survival. This review will focus on targeted therapies and immunotherapies which have emerged as treatment options for metastatic gastric cancer, often used in conjunction with cytotoxic chemotherapy. Here we will review the relevant clinical trials of targeted therapies and immunotherapies in the treatment of metastatic gastric cancer. Methods: We performed an extensive review of articles in the PubMed database pertaining to targeted therapies and immunotherapies in the treatment of metastatic gastric cancer. Additionally, updated guidelines from the National Comprehensive Cancer Network (NCCN) and European Society for Medical Oncology (ESMO) were reviewed. Key Content and Findings: Cytotoxic chemotherapy remains the backbone of treatment of metastatic gastric cancer, but the development of targeted therapies and immunotherapy have revolutionized its treatment with improved survival and outcomes. Therapies have been developed which target human epidermal growth factor receptor 2 (HER2), vascular endothelial growth factor receptor-2 (VEGFR-2), and tyrosine kinase pathways. Novel targeted therapies are currently being investigated with promising results thus far. Immunotherapy, specifically immune checkpoint inhibitors (ICIs), has proven to be a significant advancement in the treatment of gastric cancer. Conclusions: Targeted therapies and immunotherapies have improved survival and outcomes in metastatic gastric cancer, however more research is needed to make even greater strides.
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Objective: This study aimed to assess the risk of maintenance immunosuppression on the post-transplant risk of malignancy across all solid organ transplant types. Methods: This is a retrospective cohort study from a multicenter hospital system in the United States. The electronic health record was queried from 2000 to 2021 for cases of solid organ transplant, immunosuppressive medications, and post-transplant malignancy. Results: A total of 5,591 patients, 6,142 transplanted organs, and 517 post-transplant malignancies were identified. Skin cancer was the most common type of malignancy at 52.8%, whereas liver cancer was the first malignancy to present at a median time of 351 days post-transplant. Heart and lung transplant recipients had the highest rate of malignancy, but this finding was not significant upon adjusting for immunosuppressive medications (heart HR 0.96, 95% CI 0.72 - 1.3, p = 0.88; lung HR 1.01, 95% CI 0.77 - 1.33, p = 0.94). Random forest variable importance calculations and time-dependent multivariate cox proportional hazard analysis identified an increased risk of cancer in patients receiving immunosuppressive therapy with sirolimus (HR 1.41, 95% CI 1.05 - 1.9, p = 0.04), azathioprine (HR 2.1, 95% CI 1.58 - 2.79, p < 0.001), and cyclosporine (HR 1.59, 95% CI 1.17 - 2.17, p = 0.007), while tacrolimus (HR 0.59, 95% CI 0.44 - 0.81, p < 0.001) was associated with low rates of post-transplant neoplasia. Conclusion: Our results show varying risks of immunosuppressive medications associated with the development of post-transplant malignancy, demonstrating the importance of cancer detection and surveillance strategies in solid organ transplant recipients.