The advent of novel immunotherapies in the treatment of cancers has dramatically changed the landscape of the oncology field. Recent developments in checkpoint inhibition therapies, tumor-infiltrating lymphocyte therapies, chimeric antigen receptor T cell therapies, and cancer vaccines have shown immense promise for significant advancements in cancer treatments. Immunotherapies act on distinct steps of immune response to augment the body’s natural ability to recognize, target, and destroy cancerous cells. Combination treatments with immunotherapies and other modalities intend to activate immune response, decrease immunosuppression, and target signaling and resistance pathways to offer a more durable, long-lasting treatment compared to traditional therapies and immunotherapies as monotherapies for cancers. This review aims to briefly describe the rationale, mechanisms of action, and clinical efficacy of common immunotherapies and highlight promising combination strategies currently approved or under clinical development. Additionally, we will discuss the benefits and limitations of these immunotherapy approaches as monotherapies as well as in combination with other treatments.

Checkpoint inhibition (CPI) therapies have been proven to be powerful clinical tools in treating cancers. FDA approvals and ongoing clinical development of checkpoint inhibitors for treatment of various cancers highlight the immense potential of checkpoint inhibitors as anti-cancer therapeutics. The occurrence of immune-related adverse events, however, is a major hindrance to the efficacy and use of checkpoint inhibitors as systemic therapies in a wide range of patients. Hence, methods of sustained and tumor-targeted delivery of checkpoint inhibitors are likely to improve efficacy while also decreasing toxic side effects. In this review, we summarize the findings of the studies that evaluated methods of tumor-targeted delivery of checkpoint inhibitors, review their strengths and weaknesses, and discuss the outlook for therapeutic use of these delivery methods.

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Synthetic Cannabinoids (SCB) are engineered chemical compounds that share a similar chemical structure with the active ingredient of marijuana, delta-9-tetrahydrocanabinol. Although the FDA has not approved the use of SCB without a prescription from a licensed health-care provider, the cost effectiveness and availability of SCB has made it a popular choice among recreational drug users. Manufacture of SCB as a street drug is not regulated. These SCB are highly potent chemicals that cause various severe toxicities. In this case report, we describe an adult who suffered from PRES after consuming K2, a synthetic cannabinoid.

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Late thrombus formation is a rare complication associated with patent foramen ovale (PFO) closure devices. We report the case of an incidental discovery of large thrombi in both atria 9 months after percutaneous PFO occlusion that required cardiac surgery for thrombi removal. ( Level of Difficulty: Beginner. )

The objective of our study was to use the parameters of social vulnerability index (SVI) to observe their association with the 30-day hospital readmissions in the heart failure population.Methods: Data required for analysis were extracted from the electronic medical record. The geographic SVI data was then merged with the clinical data. Qualitative variables and reported as frequency and quantitative variables and reported as the mean ± standard deviation. Variables from univariate analysis with a P value of ≤ 0.10 were evaluated using multivariate logistic regression with stepwise backward variable selection and receiver operating curve (ROC) analysis. Results:The odds ratio of readmission predicted by HOSPITAL score was 1.137 (P value = 0.004, 95% CI = 1.041-1.241). SVI parameter recording disability showed odds ratio of 1.521 (P value = 0.006, 95% CI = 1.125-2.058) and SVI parameter tracking vehicle ownership showed odds ratio of 15.355 (P value = 0.014, 95% CI = 1.755 -134.383). The ROCs were generated for three scenarios: (i) HOSPITAL score only which had area under the curve (AUC)of 0.702 (P value = 0.015), (ii) SVI indicators tracking vehicle ownership and disability resulted in the AUC of 0.589 (P value = 0.016), and (iii) all of the above combined increased the AUC increased to 0.718 (P value = 0.015). Conclusions:Two social parameters (limited vehicle access and prevalence of disability) from the SVI showed a strong association with 30-day hospital readmissions.