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
AUTHORS (22)
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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