Tumor cell-based liquid biopsy using high-throughput microfluidic enrichment of entire leukapheresis product.

Circulating Tumor Cells (CTCs) in blood encompass DNA, RNA, and protein biomarkers, but clinical utility is limited by their rarity. To enable tumor epitope-agnostic interrogation of large blood volumes, we developed a high-throughput microfluidic device, depleting hematopoietic cells through high-flow channels and force-amplifying magnetic lenses. Here, we apply this technology to analyze patient-derived leukapheresis products, interrogating a mean blood volume of 5.

Is There an Ideal Concentration of Ozonized Oil for the Prevention and Modulation of Zoledronate-Induced Mandibular Osteonecrosis? A Study on Senescent Rats.

This study aimed to identify whether there is an ideal concentration for applying ozonized oil (OZ) in the post-exodontic alveoli of senescent rats treated with zoledronate (ZOL). Thirty-five female rats, aged 18 months, were divided into five groups: ZOL; ZOL+OZ500; ZOL+OZ600; ZOL+OZ700; and SAL. The groups treated with ZOL, and other concentrations of OZ received applications at a dose of 100 μg/kg, while the SAL group received saline.

A TROP2/Claudin Program Mediates Immune Exclusion to Impede Checkpoint Blockade in Breast Cancer.

Immune exclusion inhibits anti-tumor immunity and response to immunotherapy, but its mechanisms remain poorly defined. Here, we demonstrate that Trophoblast Cell-Surface Antigen 2 (TROP2), a key target of emerging anti-cancer Antibody Drug Conjugates (ADCs), controls barrier-mediated immune exclusion in Triple-Negative Breast Cancer (TNBC) through Claudin 7 association and tight junction regulation. TROP2 expression is inversely correlated with T cell infiltration and strongly associated with outcomes in TNBC.

Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions.

This report presents a comprehensive case study for the responsible integration of artificial intelligence (AI) into healthcare settings. Recognizing the rapid advancement of AI technologies and their potential to transform healthcare delivery, we propose a set of guidelines emphasizing fairness, robustness, privacy, safety, transparency, explainability, accountability, and benefit. Through a multidisciplinary collaboration, we developed and operationalized these guidelines within a healthcare system, highlighting a case study on ambient documentation to demonstrate the practical application and challenges of implementing generative AI in clinical environments.

Cancer cells restrict immunogenicity of retrotransposon expression via distinct mechanisms.

To thrive, cancer cells must navigate acute inflammatory signaling accompanying oncogenic transformation, such as via overexpression of repeat elements. We examined the relationship between immunostimulatory repeat expression, tumor evolution, and the tumor-immune microenvironment. Integration of multimodal data from a cohort of pancreatic ductal adenocarcinoma (PDAC) patients revealed expression of specific Alu repeats predicted to form double-stranded RNAs (dsRNAs) and trigger retinoic-acid-inducible gene I (RIG-I)-like-receptor (RLR)-associated type-I interferon (IFN) signaling.