Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis.
Cell Rep
; 19(1): 203-217, 2017 04 04.
Article
em En
| MEDLINE
| ID: mdl-28380359
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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MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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Carcinoma de Células Escamosas
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Monitorização Imunológica
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Biomarcadores Tumorais
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Citometria por Imagem
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Neoplasias de Cabeça e Pescoço
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article