Targeting Fatty Acid Oxidation to Promote Anoikis and Inhibit Ovarian Cancer Progression.

Epithelial-derived high-grade serous ovarian cancer (HGSOC) is the deadliest gynecologic malignancy. Roughly 80% of patients are diagnosed with late-stage disease, which is defined by wide-spread cancer dissemination throughout the pelvic and peritoneal cavities. HGSOC dissemination is dependent on tumor cells acquiring the ability to resist anoikis (apoptosis triggered by cell detachment).

Multi-Omic Approaches Identify Metabolic and Autophagy Regulators Important in Ovarian Cancer Dissemination.

High-grade serous ovarian cancers (HGSOCs) arise from exfoliation of transformed cells from the fallopian tube, indicating that survival in suspension, and potentially escape from anoikis, is required for dissemination. We report here the results of a multi-omic study to identify drivers of anoikis escape, including transcriptomic analysis, global non-targeted metabolomics, and a genome-wide CRISPR/Cas9 knockout (GeCKO) screen of HGSOC cells cultured in adherent and suspension settings. Our combined approach identified known pathways, including NOTCH signaling, as well as novel regulators of anoikis escape.

Extended left upper quadrant resection during primary cytoreductive surgery for Stage IV ovarian cancer.

Objective: The completeness of primary cytoreductive surgery for Stage IV epithelial ovarian cancer is associated with greater progression free survival and overall survival Winter et al. (2008) [1]. Cytoreduction to no gross residual disease in patients with bulky upper abdominal disease presents significant surgical challenges, highlighting the importance of specialized and comprehensive surgical training in the treatment of advanced ovarian cancers Zivanovic et al.

Scope of practice and autonomy of physician assistants in rural versus urban emergency departments.

Objectives: This was a study of the scope of practice and autonomy of emergency medicine (EM) physician assistants (PAs) practicing in rural versus urban emergency departments (EDs).

Methods: Using the American Academy of Physician Assistants (AAPA) Masterfile, a random sample of 200 U.S.