Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis

Male 0301 basic medicine QH301-705.5 pancreatic cancer cancer immunology Statistics, Nonparametric Cohort Studies 03 medical and health sciences image cytometry Monitoring, Immunologic Biomarkers, Tumor Image Processing, Computer-Assisted Humans Biology (General) Aged Image Cytometry Aged, 80 and over tissue biomarker Middle Aged Prognosis Immunohistochemistry 3. Good health multiplex Head and Neck Neoplasms Tissue Array Analysis immunohistochemistry Carcinoma, Squamous Cell head and neck cancer Female digital pathology
DOI: 10.1016/j.celrep.2017.03.037 Publication Date: 2017-04-04T17:37:47Z
ABSTRACT
Here, we describe a multiplexed immunohistochemical platform with computational image processing workflows, including image cytometry, enabling simultaneous evaluation of 12 biomarkers in one formalin-fixed paraffin-embedded tissue section. To validate this platform, we used tissue microarrays containing 38 archival head and neck squamous cell carcinomas and revealed differential immune profiles based on lymphoid and myeloid cell densities, correlating with human papilloma virus status and prognosis. Based on these results, we investigated 24 pancreatic ductal adenocarcinomas from patients who received neoadjuvant GVAX vaccination and revealed that response to therapy correlated with degree of mono-myelocytic cell density and percentages of CD8+ T cells expressing T cell exhaustion markers. These data highlight the utility of in situ immune monitoring for patient stratification and provide digital image processing pipelines to the community for examining immune complexity in precious tissue sections, where phenotype and tissue architecture are preserved to improve biomarker discovery and assessment.
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