Improving chemoradiotherapy with nanoparticle therapeutics

Chemoradiotherapy has been a key treatment paradigm in cancer management. One of the main research objectives in cancer research has been to identify agents and strategies to improve the therapeutic index of chemoradiation. Recent development of nanoparticle (NP)-based chemotherapeutics offers a unique opportunity to improve the delivery of chemotherapy, which can in turn improve chemoradiotherapy’s efficacy while lowering toxicity. NP-based chemotherapeutics also possess several characteristics that are well suited for chemoradiotherapy. Therefore, NP chemotherapeutics hold high potential in improving the therapeutic index of chemoradiotherapy. This manuscript reviews the NP properties that are favorable for chemoradiation and the rationale to utilize nanotherapeutics in chemoradiation. This review also discusses the preclinical and clinical data on using NP therapeutics in chemoradiotherapy

Clinical Translation of Nanomedicine

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Toward a better understanding of task demands, workload, and performance during physician-computer interactions

OBJECTIVE: To assess the relationship between (1) task demands and workload, (2) task demands and performance, and (3) workload and performance, all during physician-computer interactions in a simulated environment. METHODS: Two experiments were performed in 2 different electronic medical record (EMR) environments: WebCIS (n = 12) and Epic (n = 17). Each participant was instructed to complete a set of prespecified tasks on 3 routine clinical EMR-based scenarios: urinary tract infection (UTI), pneumonia (PN), and heart failure (HF). Task demands were quantified using behavioral responses (click and time analysis). At the end of each scenario, subjective workload was measured using the NASA-Task-Load Index (NASA-TLX). Physiological workload was measured using pupillary dilation and electroencephalography (EEG) data collected throughout the scenarios. Performance was quantified based on the maximum severity of omission errors. RESULTS: Data analysis indicated that the PN and HF scenarios were significantly more demanding than the UTI scenario for participants using WebCIS (P < .01), and that the PN scenario was significantly more demanding than the UTI and HF scenarios for participants using Epic (P < .01). In both experiments, the regression analysis indicated a significant relationship only between task demands and performance (P < .01). DISCUSSION: Results suggest that task demands as experienced by participants are related to participants' performance. Future work may support the notion that task demands could be used as a quality metric that is likely representative of performance, and perhaps patient outcomes. CONCLUSION: The present study is a reasonable next step in a systematic assessment of how task demands and workload are related to performance in EMR-evolving environments

Antigen-capturing nanoparticles improve the abscopal effect and cancer immunotherapy

Immunotherapy holds tremendous promise for improving cancer treatment1. Administering radiotherapy with immunotherapy has been shown to improve immune responses and can elicit an “abscopal effect”2. Unfortunately, response rates for this strategy remain low3. Herein, we report an improved cancer immunotherapy approach that utilizes antigen-capturing nanoparticles (AC-NPs). We engineered several AC-NPs formulations and demonstrated that the set of protein antigens captured by each AC-NP formulation is dependent upon NP surface properties. We showed that AC-NPs deliver tumor specific proteins to antigen-presenting cells and significantly improve the efficacy of αPD-1 treatment using the B16F10 melanoma model, generating up to 20% cure rate as compared to 0% without AC-NPs. Mechanistic studies revealed that AC-NPs induced an expansion of CD8+ cytotoxic T cells and increased both CD4+/Treg and CD8+/Treg ratios. Our work presents a novel strategy for improving cancer immunotherapy with nanotechnology