Breast Tumor Metastasis and Its Microenvironment: It Takes Both Seed and Soil to Grow a Tumor and Target It for Treatment.

Metastasis remains a major challenge in treating breast cancer. Breast tumors metastasize to organ-specific locations such as the brain, lungs, and bone, but why some organs are favored over others remains unclear. Breast tumors also show heterogeneity, plasticity, and distinct microenvironments. This contributes to treatment failure and relapse. The interaction of breast cancer cells with their metastatic microenvironment has led to the concept that primary breast cancer cells act as seeds, whereas the metastatic tissue microenvironment (TME) is the soil. Improving our understanding of this interaction could lead to better treatment strategies for metastatic breast cancer. Targeted treatments for different subtypes of breast cancers have improved overall patient survival, even with metastasis. However, these targeted treatments are based upon the biology of the primary tumor and often these patients' relapse, after therapy, with metastatic tumors. The advent of immunotherapy allowed the immune system to target metastatic tumors. Unfortunately, immunotherapy has not been as effective in metastatic breast cancer relative to other cancers with metastases, such as melanoma. This review will describe the heterogeneic nature of breast cancer cells and their microenvironments. The distinct properties of metastatic breast cancer cells and their microenvironments that allow interactions, especially in bone and brain metastasis, will also be described. Finally, we will review immunotherapy approaches to treat metastatic breast tumors and discuss future therapeutic approaches to improve treatments for metastatic breast cancer.

Characterization of Bacteriophage cd2, a Siphophage Infecting Carnobacterium divergens and a Representative Species of a New Genus of Phage.

Carnobacterium divergens is frequently isolated from natural environments and is a predominant species found in refrigerated foods, particularly meat, seafood, and dairy. While there is substantial interest in using C. divergens as biopreservatives and/or probiotics, some strains are known to be fish pathogens, and the uncontrolled growth of C. divergens has been associated with food spoilage. Bacteriophages offer a selective approach to identify and control the growth of bacteria; however, to date, few phages targeting C. divergens have been reported. In this study, we characterize bacteriophage cd2, which we recently isolated from minced beef. A detailed host range study reveals that phage cd2 infects certain phylogenetic groups of C. divergens. This phage has a latent period of 60 min and a burst size of ~28 PFU/infected cell. The phage was found to be acid and heat sensitive, with a complete loss of phage activity when stored at pH 2 or heated to 60°C. Electron microscopy shows that phage cd2 is a siphophage, and while it shares the B3 morphotype with a unique cluster of Listeria and Enterococcus phages, a comparison of genomes reveals that phage cd2 comprises a new genus of phage, which we have termed as Carnodivirus. IMPORTANCE Currently, very little is known about phages that infect carnobacteria, an important genus of lactic acid bacteria with both beneficial and detrimental effects in the food and aquaculture industries. This report provides a detailed characterization of phage cd2, a novel siphophage that targets Carnobacterium divergens, and sets the groundwork for understanding the biology of these phages and their potential use in the detection and biocontrol of C. divergens isolates.

Genome Sequences of Bacteriophages cd2, cd3, and cd4, which Specifically Target Carnobacterium divergens.

Carnobacteria have been implicated in food spoilage, but also in protection against pathogenic bacteria. We report the isolation and complete genome sequences of three bacteriophages (phages cd2, cd3, and cd4) that specifically target Carnobacterium divergens. The genome sizes are approximately 57 kbp and have limited homology to known enterococcal and streptococcal phages.

Semi-automated camera trap image processing for the detection of ungulate fence crossing events.

Remote cameras are an increasingly important tool for ecological research. While remote camera traps collect field data with minimal human attention, the images they collect require post-processing and characterization before it can be ecologically and statistically analyzed, requiring the input of substantial time and money from researchers. The need for post-processing is due, in part, to a high incidence of non-target images. We developed a stand-alone semi-automated computer program to aid in image processing, categorization, and data reduction by employing background subtraction and histogram rules. Unlike previous work that uses video as input, our program uses still camera trap images. The program was developed for an ungulate fence crossing project and tested against an image dataset which had been previously processed by a human operator. Our program placed images into categories representing the confidence of a particular sequence of images containing a fence crossing event. This resulted in a reduction of 54.8% of images that required further human operator characterization while retaining 72.6% of the known fence crossing events. This program can provide researchers using remote camera data the ability to reduce the time and cost required for image post-processing and characterization. Further, we discuss how this procedure might be generalized to situations not specifically related to animal use of linear features.