Back to Search
Start Over
Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis.
- Source :
-
Cell reports [Cell Rep] 2017 Apr 04; Vol. 19 (1), pp. 203-217. - Publication Year :
- 2017
-
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 <superscript>+</superscript> 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.<br /> (Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Aged, 80 and over
Biomarkers, Tumor metabolism
Cohort Studies
Female
Humans
Immunohistochemistry
Male
Middle Aged
Prognosis
Statistics, Nonparametric
Tissue Array Analysis
Biomarkers, Tumor analysis
Carcinoma, Squamous Cell immunology
Head and Neck Neoplasms immunology
Image Cytometry methods
Image Processing, Computer-Assisted
Monitoring, Immunologic methods
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 19
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 28380359
- Full Text :
- https://doi.org/10.1016/j.celrep.2017.03.037