42P - Imaging in cancer immunology: Phenotyping of multiple immune cell subsets in-situ in FFPE tissue sections

Date 20 November 2015
Event ESMO Symposium on Immuno-Oncology 2015
Session Welcome reception and general Poster viewing
Topics Immunotherapy
Staging Procedures (clinical staging)
Basic Principles in the Management and Treatment (of cancer)
Imaging
Therapy
Presenter Bjoern Wendik
Citation Annals of Oncology (2015) 26 (suppl_8): 5-14. 10.1093/annonc/mdv514
Authors B. Wendik1, J.R. Mansfield2, C.C. Hoyt2, E. Stack2, M. Feldmann3, C.B. Bifulco4, B. Fox5
  • 1Quantitative Pathology, PerkinElmer LAS (Germany) GmbH, 63110 - Rodgau/DE
  • 2Quantitative Pathology, PerkinElmer, Hopkinton/US
  • 3Surgical Pathology, University of Pennsylvania- CRB, 19104 - Philadelphia/US
  • 4Pathology - Hematology, Providence Cancer Center, 97213 - Portland/US
  • 5Molecular And Tumor Immunology, Providence Cancer Center, 97213 - Portland/US

Abstract

Aim

There has been a rapid grown in the field of tumor immunobiology as a result of recent successes in cancer immunotherapies, and it is clear that immune cells play many sometimes conflicting roles in the tumor microenvironment. However, obtaining phenotypic information about the various immune cells in and around the tumor has been a challenge.

Methods

Tonsil and breast cases were labeled for CD4, CD8, CD20 and CK utilizing TSA and the OpalTM multiplexing method. Samples were imaged on the Vectra™ multispectral slide analysis system. Tissue pattern recognition and cell phenotyping as cytotoxic T cells, helper T cells, Tregs, and B cells, were made with inForm™ software.

Results

Existing methods can deliver phenotypic information on homogenous samples (e.g., flow cytometry) or morphologic information in single stain IHC. We present here a methodology for delivering quantitative per-cell marker expression and phenotyping, analogous to that obtained from flow cytometry, but from cells imaged in situ in FFPE tissue sections. This methodology combines: the sequential multi-marker labeling of up to 6 antigens using antibodies of the same species; automated multispectral imaging to remove autofluorescence and correct cross-talk between channels; automated image analysis that can quantitate the per-cell marker expression, cellular phenotyping, counting cells separately in the tumor stromcompartment, and provide x,y coordinate data from which spatial distance calculations can be made. We show a 6-plex assay in breast cancer showing the multiplexed staining, per-cell quantitation and cellular phenotyping in FFPE tissue sections, as well as methods to explore the spatial distributions of the phenotyped cells in and around the tumor.

Conclusions

Multispectral imaging allows immune cell phenotypes to be visualized and quantified simultaneously in the same tissue section enabling further study of the relationships and spatial distribution of these cells within the tumor microenvironment. This technology will enable improved understanding of the immune infiltrate in breast tumors thereby facilitating the rational design and use of immunotherapeutic agents in combination with standard systemic therapies.

Clinical trial identification

Disclosure

B. Wendik, J.R. Mansfield, C.C. Hoyt and E. Stack: Employees of PerkinElmer. All other authors have declared no conflicts of interest.