Anti-VEGF therapy as adjuvant therapy: clouds on the horizon?

Anti-angiogenic therapies have demonstrated their value in the setting of advanced cancer, and are being explored for use in micrometastatic disease. Recent preclinical studies suggest that adjuvant anti-vascular endothelial growth factor (VEGF) therapies may increase the risk of metastasis. How concerning are these preclinical studies, and should they affect our willingness to explore anti-VEGF therapy in the adjuvant setting

Small-Molecule Binding Sites to Explore New Targets in the Cancer Proteome

The Cancer Genome Atlas (TCGA) offers an unprecedented opportunity to identify small-molecule binding sites on proteins with overexpressed mRNA levels that correlate with poor survival. Here, we analyze RNA-seq and clinical data for 10 tumor types to identify genes that are both overexpressed and correlate with patient survival. Protein products of these genes were scanned for binding sites that possess shape and physicochemical properties that can accommodate small-molecule probes or therapeutic agents (druggable). These binding sites were classified as enzyme active sites (ENZ), protein-protein interaction sites (PPI), or other sites whose function is unknown (OTH). Interestingly, the overwhelming majority of binding sites were classified as OTH. We find that ENZ, PPI, and OTH binding sites often occurred on the same structure suggesting that many of these OTH cavities can be used for allosteric modulation of enzyme activity or protein-protein interactions with small molecules. We discovered several ENZ (PYCR1, QPRT, and HSPA6) and PPI (CASC5, ZBTB32, and CSAD) binding sites on proteins that have been seldom explored in cancer. We also found proteins that have been extensively studied in cancer that have not been previously explored with small molecules that harbor ENZ (PKMYT1, STEAP3, and NNMT) and PPI (HNF4A, MEF2B, and CBX2) binding sites. All binding sites were classified by the signaling pathways to which the protein that harbors them belongs using KEGG. In addition, binding sites were mapped onto structural protein-protein interaction networks to identify promising sites for drug discovery. Finally, we identify pockets that harbor missense mutations previously identified from analysis of the TCGA data. The occurrence of mutations in these binding sites provides new opportunities to develop small-molecule probes to explore their function in cancer.

Impact of social distancing during COVID-19 pandemic on crime in Los Angeles and Indianapolis

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crimes such as domestic violence may increase because of extended periods of contact between potential offenders and victims. Understanding the impact of social distancing on crime is critical for ensuring the safety of police and government capacity to deal with the evolving crisis. Understanding how social distancing policies impact crime may also provide insights into whether people are complying with public health measures. Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types. However, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life

Predicting fear of breast cancer recurrence and self-efficacy in survivors by age at diagnosis

PURPOSE/OBJECTIVES: To determine the effect that age at diagnosis has on fear of breast cancer recurrence and to identify the predictors of fear of recurrence using self-efficacy as a mediator. DESIGN: Cross-sectional survey. SETTING: Two university cancer centers and one cooperative group in the midwestern United States. SAMPLE: 1,128 long-term survivors. METHODS: Survivors were eligible if they were aged 18-45 years (younger group) or 55-70 years (older group) at cancer diagnosis, had received chemotherapy, and were three to eight years postdiagnosis. Fear of recurrence was compared between younger and older groups. Multiple regression analyses were used to test variables' prediction of fear of recurrence and breast cancer survivor self-efficacy, as well as breast cancer survivor self-efficacy mediation effects. MAIN RESEARCH VARIABLES: Fear of recurrence, breast cancer survivor self-efficacy, and age at diagnosis. FINDINGS: Survivors diagnosed at a younger age had significantly higher fear of recurrence, as well as health, role, womanhood, death, and parenting worries. Perceived risk of recurrence, trait anxiety, and breast cancer reminders explained significant variance in fear of recurrence and breast cancer survivor self-efficacy. Breast cancer survivor self-efficacy partially mediated the effects of variables on fear of recurrence. CONCLUSIONS: The findings suggest that breast cancer survivor self-efficacy may have a protective effect for survivors who are younger at diagnosis and have higher perceived risk of recurrence, higher trait anxiety, and more breast cancer reminders. Oncology nurses already use the skills required to support self-efficacy. Additional research is needed to define and test breast cancer survivor self-efficacy interventions. IMPLICATIONS FOR NURSING: Oncology nurses are in a key role to assess fear of recurrence and provide self-efficacy interventions to reduce it in breast cancer survivors. Strategies to efficiently address fear of recurrence to reduce psychological distress in survivorship follow-up care are warranted

Classification of large circulating tumor cells isolated with ultra-high throughput microfluidic Vortex technology.

Circulating tumor cells (CTCs) are emerging as rare but clinically significant non-invasive cellular biomarkers for cancer patient prognosis, treatment selection, and treatment monitoring. Current CTC isolation approaches, such as immunoaffinity, filtration, or size-based techniques, are often limited by throughput, purity, large output volumes, or inability to obtain viable cells for downstream analysis. For all technologies, traditional immunofluorescent staining alone has been employed to distinguish and confirm the presence of isolated CTCs among contaminating blood cells, although cells isolated by size may express vastly different phenotypes. Consequently, CTC definitions have been non-trivial, researcher-dependent, and evolving. Here we describe a complete set of objective criteria, leveraging well-established cytomorphological features of malignancy, by which we identify large CTCs. We apply the criteria to CTCs enriched from stage IV lung and breast cancer patient blood samples using the High Throughput Vortex Chip (Vortex HT), an improved microfluidic technology for the label-free, size-based enrichment and concentration of rare cells. We achieve improved capture efficiency (up to 83%), high speed of processing (8 mL/min of 10x diluted blood, or 800 μL/min of whole blood), and high purity (avg. background of 28.8±23.6 white blood cells per mL of whole blood). We show markedly improved performance of CTC capture (84% positive test rate) in comparison to previous Vortex designs and the current FDA-approved gold standard CellSearch assay. The results demonstrate the ability to quickly collect viable and pure populations of abnormal large circulating cells unbiased by molecular characteristics, which helps uncover further heterogeneity in these cells