Circulating extracellular vesicles release oncogenic miR-424 in experimental models and patients with aggressive prostate cancer

Extracellular vesicles (EVs) are relevant means for transferring signals across cells and facilitate propagation of oncogenic stimuli promoting disease evolution and metastatic spread in cancer patients. Here, we investigated the release of miR-424 in circulating small EVs or exosomes from prostate cancer patients and assessed the functional implications in multiple experimental models. We found higher frequency of circulating miR-424 positive EVs in patients with metastatic prostate cancer compared to patients with primary tumors and BPH. Release of miR-424 in small EVs was enhanced in cell lines (LNCaPabl), transgenic mice (Pb-Cre4;Ptenflox/flox;Rosa26ERG/ERG) and patient-derived xenograft (PDX) models of aggressive disease. EVs containing miR-424 promoted stem-like traits and tumor-initiating properties in normal prostate epithelial cells while enhanced tumorigenesis in transformed prostate epithelial cells. Intravenous administration of miR-424 positive EVs to mice, mimicking blood circulation, promoted miR-424 transfer and tumor growth in xenograft models. Circulating miR-424 positive EVs from patients with aggressive primary and metastatic tumors induced stem-like features when supplemented to prostate epithelial cells. This study establishes that EVs-mediated transfer of miR-424 across heterogeneous cell populations is an important mechanism of tumor self-sustenance, disease recurrence and progression. These findings might indicate novel approaches for the management and therapy of prostate cancer

Meeting sustainable development goals via robotics and autonomous systems

Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management. While they will play a fundamental role in delivering the UN Sustainable Development Goals, associated opportunities and threats are yet to be considered systematically. We report on a horizon scan evaluating robotics and autonomous systems impact on all Sustainable Development Goals, involving 102 experts from around the world. Robotics and autonomous systems are likely to transform how the Sustainable Development Goals are achieved, through replacing and supporting human activities, fostering innovation, enhancing remote access and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions and reducing freedom and privacy through inadequate governance. Although predicting future impacts of robotics and autonomous systems on the Sustainable Development Goals is difficult, thoroughly examining technological developments early is essential to prevent unintended detrimental consequences. Additionally, robotics and autonomous systems should be considered explicitly when developing future iterations of the Sustainable Development Goals to avoid reversing progress or exacerbating inequalities

Creating a Collaborative Trauma-Informed Interdisciplinary Citywide Victim Services Model Focused on Health Care for Survivors of Human Trafficking

Although human trafficking is recognized as a public health issue, research on the health effects of human trafficking and best intervention practices is limited. We describe 2 citywide collaborative victim services models, the THRIVE (Trafficking, Healthcare, Resources, and Interdisciplinary Victim Services and Education) Clinic at the University of Miami and Jackson Health System in Miami, Florida, and the Greater Houston Area Pathways for Advocacy-based, Trauma-Informed Healthcare (PATH) Collaborative at Baylor College of Medicine, CommonSpirit Health, and San Jose Clinic in Houston, Texas, funded in part by the Office for Victims of Crime, which focus on trauma-informed health care delivery for victims of human trafficking. From June 2015 through September 2021, the THRIVE Clinic served 214 patients with an average age of 28.7 years at the time of their first visit. From October 2017 through September 2021, the PATH Collaborative received 560 suspected trafficking referrals, 400 of which screened positive for labor or sex trafficking. These models serve as a framework for replication of interdisciplinary practices to provide health care for this unique population and preliminary information about the strategies put in place to assist victims during their recovery. Key lessons include the importance of a citywide needs assessment, patient navigators, interdisciplinary care, and building community partnerships to ensure safe housing, transportation, identification, health insurance, vocation services, input from survivors, peer-to-peer mentorship, and medical–legal services. Further research is needed to understand the detrimental health effects of trafficking and the health care needs of victims. In addition, a need exists to develop optimal models of care for recovery and reintegration for this patient population and to address public health, legal, and medical policies to ensure access to and sustainability of comprehensive, trauma-informed, interdisciplinary victim services

Meeting sustainable development goals via robotics and autonomous systems

Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management. While they will play a fundamental role in delivering the UN Sustainable Development Goals, associated opportunities and threats are yet to be considered systematically. We report on a horizon scan evaluating robotics and autonomous systems impact on all Sustainable Development Goals, involving 102 experts from around the world. Robotics and autonomous systems are likely to transform how the Sustainable Development Goals are achieved, through replacing and supporting human activities, fostering innovation, enhancing remote access and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions and reducing freedom and privacy through inadequate governance. Although predicting future impacts of robotics and autonomous systems on the Sustainable Development Goals is difficult, thoroughly examining technological developments early is essential to prevent unintended detrimental consequences. Additionally, robotics and autonomous systems should be considered explicitly when developing future iterations of the Sustainable Development Goals to avoid reversing progress or exacerbating inequalities