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Core C: Comparative Pathology Core

核心 C：比较病理学核心

基本信息

批准号：
10333804
负责人：
Enrico Radaelli
金额：
$ 30.35万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-15 至 2027-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10333804
关键词：
Address Algorithms Animal Experiments Animal Model Animals Archives Autopsy Biological Biological Markers Biological Process Canis familiaris Carbon Cells Classification Clinical Collaborations Collection Comparative Pathology Computer software Consultations Data Development Ensure Epithelial Evaluation Fibrosis Goals Growth Hematoxylin and Eosin Staining Method Histological Techniques Histology Histopathology Image Analysis Immune Immunofluorescence Immunologic Immunohistochemistry In Situ Hybridization Inflammation Inflammatory Infrastructure Label Laboratories Lesion Malignant - descriptor Measurable Methods Modality Modernization Molecular Morphology Mus Normal tissue morphology Outcome Paraffin Embedding Pathologic Pathologist Pathology Patients Phenotype Play Population Pre-Clinical Model Preparation Procedures Protocols documentation Protons Radiation therapy Reproducibility Research Design Research Personnel Rodent Role Route Sampling Services Severities Signal Pathway Sirius Red F3B Slide Solid Specimen Stains Standardization Structure System T-Lymphocyte Techniques Technology Testing Therapeutic Index Time Tissue Sample Tissues Toxic effect Training Translations Trichrome stain method Tumor-infiltrating immune cells Variant Work animal tissue base cytokine digital imaging digital pathology experience functional status immunological status interest macrophage neoplastic neoplastic cell neutrophil particle pathology imaging personalized approach pre-clinical preclinical study preservation programs response tissue preparation tool translational study tumor tumor microenvironment whole slide imaging

项目摘要

Project Summary The study of the preclinical animal models included in all four Projects plays a critical role to investigate the overall hypothesis that Proton/Carbon Particle FLASH Radiotherapy is superior to Standard Particle Radiotherapy in protecting normal tissues while maintaining equipotent malignant growth control. The extrapolation of robust preclinical data in these experimental settings relies heavily on the unbiased assessment of specific histopathological parameters to investigate the biological effects of FLASH particle radiotherapy as compared to Standard particle radiotherapy on designated neoplastic lesions and adjacent normal tissues. The Comparative Pathology Core (CPC; Core C) will provide its expertise contributing to the planning, evaluation, and interpretation of the pathology endpoints of the animal experiments included in the Projects. As a PennVet clinical laboratory, Core C importantly follows standardized working protocols with strict QA/QC procedures. The histopathology service offered by Core C will ensure accurate collection, proper preservation, timely processing, and staining of the animal specimens. Core C will provide the necessary technical support and submissions of tissue samples will follow a prioritized route. In addition to standard histopathology, Core C will also develop and validate tailored approaches to investigate and quantify tissue changes specifically associated with RT such as fibrosis, intralesional distribution of inflammatory/immune cell populations, expression of markers to evaluate epithelial barrier integrity, etc. The board-certified veterinary pathologists of Core C will deliver expert evaluation and unbiased interpretation of the pathology endpoints. Objective and reproducible quantification of tissue changes in response to the diverse RT modalities will be guaranteed by the application of validated scoring systems and the utilization of software-based algorithms for digital pathology and image analysis. Core pathologists have advanced training in digital imaging pathology from Leica pathology systems. Moreover, Dr. Assenmacher has collaborated with Leica in the development of analysis tools, lending him particular experience in the analytic modules of the digital pathology system.

项目总结