Abstract
Tertiary lymphoid structures (TLS) are considered as genuine markers of inflammation. Their presence within inflamed tissues or within the tumor microenvironment has been associated with the local development of an active immune response. While high densities of TLS are correlated with disease severity in autoimmune diseases or during graft rejection, it has been associated with longer patient survival in many cancer types. Their efficient visualization and quantification within human tissues may represent new tools for helping clinicians in adjusting their therapeutic strategy. Some immunohistochemistry (IHC) protocols are already used in the clinic to appreciate the level of immune infiltration in formalin-fixed, paraffin-embedded (FFPE) tissues. However, the use of two or more markers may sometimes be useful to better characterize this immune infiltrate, especially in the case of TLS. Besides the growing development of multiplex labeling approaches, imaging can also be used to overcome some technical difficulties encountered during the immunolabeling of tissues with several markers.
This chapter describes IHC methods to visualize in a human tissue (tumoral or not) the presence of TLS. These methods are based on the immunostaining of four TLS-associated immune cell populations, namely follicular B cells, follicular dendritic cells (FDCs), mature dendritic cells (mDCs), and follicular helper T cells (TFH), together with non-TFH T cells. Methodologies for subsequent quantification of TLS density are also proposed, as well as a virtual multiplexing method based on image registration using the open-source software ImageJ (IJ), aiming at co-localizing several immune cell populations from different IHC stainings performed on serial tissue sections.
Key words
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- AID:
-
Activation-induced cytidine deaminase
- AP:
-
Alkaline phosphatase
- APAAP:
-
Alkaline phosphatase anti-alkaline phosphatase
- Bcl6:
-
B-cell lymphoma 6
- CSR:
-
Class-switch recombination
- FDC:
-
Follicular dendritic cell
- FFPE:
-
Formalin-fixed, paraffin-embedded
- GC:
-
Germinal center
- HRP:
-
Horseradish peroxidase
- HS:
-
Human serum
- IF:
-
Immunofluorescence
- IHC:
-
Immunohistochemistry
- IJ:
-
ImageJ
- mDC:
-
Mature dendritic cell
- NSCLC:
-
Non-small cell lung cancer
- RA:
-
Rheumatoid arthritis
- ROA:
-
Region of analysis
- ROI:
-
Region of interest
- SHM:
-
Somatic hypermutation
- SIFT:
-
Scale invariant feature transform
- SLO:
-
Secondary lymphoid organ
- TFH :
-
Follicular helper T cell
- TLS:
-
Tertiary lymphoid structure
- WSI:
-
Whole-slide image
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Funding
This work was supported by the “Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne University, Paris-Descartes University, the Labex Immuno-Oncology (LAXE62_9UMRS872 Fridman), CARPEM (Cancer Research for PErsonalized Medicine), Fondation ARC pour la Recherche sur le Cancer. Priyanka Devi-Marulkar was supported by a grant from the Fondation ARC pour la Recherche sur le Cancer. Claire Germain was supported by a grant from MedImmune LLC.
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Klein, C., Devi-Marulkar, P., Dieu-Nosjean, MC., Germain, C. (2018). Development of Tools for the Selective Visualization and Quantification of TLS-Immune Cells on Tissue Sections. In: Dieu-Nosjean, MC. (eds) Tertiary Lymphoid Structures. Methods in Molecular Biology, vol 1845. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8709-2_4
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DOI: https://doi.org/10.1007/978-1-4939-8709-2_4
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