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Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma
Published on: January 9, 2019
Multiplex immunofluorescence staining and image analysis assay for diffuse large B cell lymphoma
Chung-Wein Lee1, Yan J Ren1, Mathieu Marella1
1Department of Non-clinical Drug Safety, Celgene Corporation, 10300 Campus Point Dr., San Diego, CA 92121, USA.
Insights
Multiplex immunofluorescence (mIF) assays can now analyze immune cells and checkpoint proteins in diffuse large B-cell lymphoma (DLBCL) tissue. This method reveals immune cell spatial patterns crucial for understanding immuno-oncology therapies.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Immuno-oncology and immune checkpoint therapies are rapidly advancing.
- Understanding the tumor microenvironment (TME) and patient immune status is critical.
- Multiplex immunofluorescence (mIF) offers spatial insights into tumor-immune cell interactions.
Purpose of the Study:
- To develop and optimize a reliable mIF workflow for diffuse large B-cell lymphoma (DLBCL).
- To characterize infiltrating immune cells and immune checkpoint proteins within the DLBCL TME.
- To address challenges in analyzing DLBCL tissue, such as high tumor density and indistinct boundaries.
Main Methods:
- Utilized Akoya Opal staining kits to label 6 markers per slide.
- Developed five panels totaling 30 markers, including PD1, PD-L1, ICOS, SIRP-alpha, and Lag3.
- Applied an image analysis workflow using InForm and Matlab for DLBCL sections.
- Scanned multiplexed sections with an Akoya multispectral scanner.
Main Results:
- Quantified densities of infiltrating immune cell subsets in DLBCL tissues.
- Observed spatial patterns of immune cells within the tumor microenvironment.
- Highlighted heterogeneous distribution of cytotoxic T cells, even in tumors with similar T cell densities.
Conclusions:
- The developed mIF workflow is reliable for analyzing immune cells and checkpoint proteins in DLBCL.
- Spatial context is essential for understanding the efficacy of immunotherapies in DLBCL.
- This approach provides critical insights into the DLBCL tumor microenvironment for therapeutic development.
Abstract:
With the explosion of immuno-oncology and the approval of many immune checkpoint therapies by regulatory agencies in the last few years, understanding the tumor microenvironment (TME) in the context of patients' immune status has become essential. Among available immune profiling techniques, multiplex immunofluorescence (mIF) assays offer the unique advantage of preserving the architectural features of the tumor and revealing the spatial relationships between tumor cells and immune cells. A number of mIF and image analysis assays have been described for solid tumors but most are not sufficiently suitable in lymphoma, where the lack of clear tumor-stromal boundaries and high tumor density present significant challenges. Here we describe the development and optimization of a reliable workflow using Akoya Opal staining kits to label and analyze 6 markers per slide in diffuse large B-cell lymphoma (DLBCL) tissue sections. Five panels totaling 30 markers were developed to characterize infiltrating immune cells and relevant check-point proteins such as PD1, PD-L1, ICOS, SIRP-alpha and Lag3 on 70 DLBCL sections. Multiplexed sections were scanned using an Akoya multispectral scanner. An image analysis workflow using InForm and Matlab was developed to overcome challenges inherent to the DLBCL environment. Using the assays and workflows detailed here, we were able to quantify cell densities of subsets of infiltrating immune cells and observe their spatial patterns within the tumors. We highlight heterogeneous distribution of cytotoxic T cells across tumors with similar T cell density to underscores the importance of considering spatial context when studying the effects of immunological therapies in DLBCL.
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