Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumor-infiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Analysis of an Engineered Salmonella Flagellar Fusion Protein, FliR-FlhB

Salmonella FliR and FlhB are membrane proteins necessary for flagellar export. In Clostridium a fliR-flhB fusion gene exists. We constructed a similar Salmonella fusion gene which is able to complement fliR, flhB, and fliR flhB null strains. Western blotting revealed that the FliR-FlhB fusion protein retains the FlhB protein's cleavage properties. We conclude that the FliR and FlhB proteins are physically associated in the wild-type Salmonella basal body, probably in a 1:1 ratio

Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics

Abstract Purpose of Review Our goal is to show how readily available Pathomics tissue analytics can be used to study tumor immune interactions in cancer. We provide a brief overview of how Pathomics complements traditional histopathologic examination of cancer tissue samples. We highlight a novel Pathomics application, Tumor-TILs, that quantitatively measures and generates maps of tumor infiltrating lymphocytes in breast, pancreatic, and lung cancer by leveraging deep learning computer vision applications to perform automated analyses of whole slide images. Recent Findings Tumor-TIL maps have been generated to analyze WSIs from thousands of cases of breast, pancreatic, and lung cancer. We report the availability of these tools in an effort to promote collaborative research and motivate future development of ensemble Pathomics applications to discover novel biomarkers and perform a wide range of correlative clinicopathologic research in cancer immunopathology and beyond. Summary Tumor immune interactions in cancer are a fascinating aspect of cancer pathobiology with particular significance due to the emergence of immunotherapy. We present simple yet powerful specialized Pathomics methods that serve as powerful clinical research tools and potential standalone clinical screening tests to predict clinical outcomes and treatment responses for precision medicine applications in immunotherapy. </jats:sec

Successful pacemaker lead extraction involving an ossified thrombus: A case report

A 41-year-old woman who had been fitted with a pacemaker 18 years prior presented for lead extraction because of device infection. First, we tried laser sheath. However, it cannot cross the binding in the innominate vein. Then we switched to the rotating mechanical sheath. Although it crunched through binding tissue, the progress halted. We removed the sheath and found pieces of calcified tissue in the sheath lumen. After removing the calcified tissue, both leads were extracted using the laser sheath, without complications. The pathological examination revealed a diagnosis of ossified thrombus. Venous thromboses associated with implanted leads can ossify with time, causing difficulties in the extraction of long-standing intravascular leads