Here we describe a protocol for multiplex fluorescent immunohistochemical staining and imaging for the simultaneous localization of multiple cancer-associated antigens in lymphoma. This protocol can be extended to the colocalization analysis of biomarkers within all tissue sections.
Immunohistochemical (IHC) methods for the in-situ analysis of protein expression by light microscopy are a powerful tool for both research and diagnostic purposes. However, the visualization and quantification of multiple antigens in a single tissue section using conventional chromogenic IHC is challenging. Multiplexed imaging is especially relevant in lymphoma research and diagnostics, where markers have to be interpreted in the context of a complex tumor microenvironment. Here we describe a protocol for multiplexed fluorescent IHC staining to enable the quantitative assessment of multiple targets in specific cell types of interest in lymphoma.The method covers aspects of antibody validation, antibody optimization, the multiplex optimization with markers of lymphoma subtypes, the staining of tissue microarray (TMA) slides, and the scanning of the slides, followed by data analysis, with specific reference to lymphoma. Using this method, scores for both the mean intensity of a marker of interest and the percentage positivity are generated to facilitate further quantitative analysis. Multiplexing minimizes sample utilization and provides spatial information for each marker of interest.
Lymphoid neoplasms are caused by the uncontrolled malignant proliferation of lymphocytes. These cells are vital components of the immune system and localize to the primary and secondary immune organs, such as the bone marrow, lymph nodes, spleen, and other mucosa-associated lymphoid system. Lymphoid neoplasms are a heterogeneous group of disorders who are classified based on a constellation of features, including morphology, immunophenotype, genetic features, and clinical presentation. While each parameter plays a part, lineage remains a defining feature and forms the basis for the WHO classification system which recognizes neoplasms derived from B cells, T cells, and natural killer (NK) cells1.
Key to the classification of lymphoma has been the characterization of the antibodies against leukocyte surface markers of the various subtypes of lymphocytes2. Immunohistochemistry (IHC) has been traditionally used for the analysis of such markers and is based on the principle of the specific antigen-antibody recognition to detect cell- and tissue-based molecules that can be visualized through the light microscope3. However, the identification of multiple targets on a single slide by conventional bright-field chromogenic multiplex IHC has limitations because it is often difficult to distinguish multiple color signals on a single tissue section reliably—especially for antigens with a very low expression4. Visual assessment and quantification of staining can also be subjective, causing variability in the analysis and data interpretation5.
Therefore, conventional IHC on formalin-fixed, paraffin-embedded (FFPE) samples is not feasible for the simultaneous detection of multiple targets in immunologically diverse diseases like lymphoma. Furthermore, distinguishing neoplastic lymphocytes from the surrounding immune cells is often imprecise. This hinders studies looking at the relevance of novel biomarkers in lymphoma. In this context, multiplex fluorescent IHC (mf-IHC) offers a promising alternative as it allows the quantitative assessment of antigen coexpression and a spatial relationship with higher precision while conserving limited samples6,7. When this imaging technology is partnered with the digital image analysis software, the data interpretation is made more efficient and facilitates the study of tumor and microenvironment heterogeneity8,9. In this protocol, a tyramide-based immunofluorescence (IF) multiplexing method is applied to amplify the signal and is compatible with any IHC-validated antibody from any host species, even those developed in the same species5,7,10. The tyramide-based protocol allows for the direct conjugation of the fluorophore to the tissue of interest so that the primary and secondary antibody can be stripped after each step, allowing for the sequential application of multiple stains without antibody cross-reactivity.
A multiplexed strategy will be useful for predicting prognosis and treatment outcomes by identifying targets and their variant immunologic patterns in lymphomas. Multiplex fluorescent IHC has been applied in our lab for the study of a panel of T and B lymphocyte markers and T-follicular helper markers in angioimmunoblastic T-cell lymphoma (AITL), a subtype of a peripheral T-cell lymphoma characterized by aggressive clinical behavior and tumor heterogeneity11. The utility of this method is also illustrated in diffuse large B-cell lymphoma (DLBCL) where the increased signaling of a B-cell receptor with simultaneous C-MYC and BCL-2 expression suggests the potential therapeutic use of Bruton's tyrosine kinase inhibition12.
Here we describe the entire protocol from antibody validation to the selection of appropriate control tissues and multiplexing using lymphoma FFPE tissues, with an eventual analysis of stained slides using a scanning automated quantitative pathology imaging system.
All tissues used in this protocol were obtained under the Singapore NHG Domain Specific Review Board B study 2014/00693.
1. Selection and Validation of Antibodies
NOTE: Before proceeding with the establishment of any multiplexed panel, ensure that all antibodies stain robustly, identifying only the target antigen of interest. The aim is to select antibodies that specifically recognize the antigen of interest in tissue sections.
2. Planning the Sequence of Antibodies and Fluorophores for the Multiplex Panel
3. Monoplex Tyramide-based IF in a Simulated 5-plex Multiplex Panel
NOTE: In this example, the protocol for CD20 is discussed, which is planned as the fourth antibody in a multiplex sequence described above. The number of additional stripping steps will differ for the position of the antibody in the sequence.
4. Repetition of the Monoplex for Each Antibody in the Multiplex Protocol
5. Multiplex Staining Protocol
NOTE: Proceed with the multiplex staining protocol only after all the components have been optimized using monoplex IF staining. Review the results of the monoplex staining and design a table showing the final layout of the order of multiplex and the choice of fluorophore for each antibody. The details of antibody concentration, the duration of staining, and the sequence and nature of heat retrieval for each antibody used here is provided in Table 1.
6. Preparation of Spectral Library Slides
NOTE: Sections 6 – 8 of this protocol are unique to multiplexed experiments that are imaged using a spectral camera.
7. Spectral Imaging
8. Data Analysis
mf-IHC images for a DLBCL sample with C-MYC and BCL2 gene rearrangement (double-hit lymphoma) are shown in Figure 1. Figure 2 illustrates the simulated bright-field immunohistochemical images. Figure 3 indicates the generation of percentage data. Figure 4 displays the details of a median formula for the generation of numeric data. Figure 5 shows the application of mf-IHC of a T-cell panel in angioimmunoblastic T-cell lymphomas. Figure 6 shows the optimization image of the tonsil control sample and the data analysis for this sample.
Figure 1: B-cell multiplexed immunofluorescence panel images for a diffuse large B-cell lymphoma (DLBCL) sample with C-MYC and CL2 gene rearrangement (double-hit lymphoma). Magenta = CD20 (membrane); white = BCL2 (cytoplasm); yellow = Ki67 (nuclear); green = C-MYC (nuclear); red = BCL6 (nuclear), blue = DAPI (nuclear counterstain). The CD20-positive tumor cells show a high expression for C-MYC (80%) and BCL2 (>90%), and the Ki67 proliferation index is also high (90%). Please click here to view a larger version of this figure.
Figure 2: Simulated bright-field immunohistochemical images (generated from Figure 1) of the same DLBCL sample with C-MYC and BCL2 gene rearrangement (double-hit lymphoma). CD20 shows membrane staining in the tumor cells. BCL2 shows cytoplasm staining in >90% of the tumor cells. C-MYC positivity is about 80%. BCL6 shows nuclear staining in approximately 20% of the cells. Ki67 is positive in 90% of the cells. Please click here to view a larger version of this figure.
Figure 3: Pivot table showing how to generate percentage data according to study number. Please click here to view a larger version of this figure.
Figure 4: Median formula for the normalized Ki67 OD value according to study number. The IF statement finds all study numbers that are equal to a specific study number (which is 52 in this figure). Then, it returns the corresponding Ki67 Normalized value. Ctrl + Shift + Enter key combinations can be used to calculate the median (Ki67 Median) for these returned values, which is 11.56 for study number 52. Please click here to view a larger version of this figure.
Figure 5: Multiplexed immunofluorescence panel images for an angioimmunoblastic T-cell lymphoma (AITL) sample. (A) The composite image shows the cellular heterogeneity of an AITL sample. Magenta = CD20 (membrane); yellow = CD4 (membrane); green = PD1 (membrane); red = BCL6 (nuclear); cyan = CD8 (membrane); blue = DAPI (nuclear counterstain). (B) The upper row of images shows a magnified view of the region selected in the white box in panel A. The lower row of images shows the corresponding segmented cell masks: yellow/red/green showing single CD4/BCL6/PD1-positive cells, respectively. Blue represents negative cells, and white indicates double-positive cells. The images reveal that 50% of CD4+ cells are PD1+ (left, white), while 20% of CD4+ cells are also positive for BCL6 (middle, white). The double positivity rate for PD1 and BCL6 is about 10% (right, white). Please click here to view a larger version of this figure.
Figure 6: Multiplexed immunofluorescence optimization images for tonsil control tissue. (A) The composite image shows the germinal center area of a tonsil control sample. Yellow = C-Myc (nuclear); red = BCL6 (nuclear); cyan = BCL2 (cytoplasm); magenta = CD20 (membrane); green = Ki67 (nuclear); blue = DAPI (nuclear counterstain). C-Myc is positive only in a few cells. BCL6 and Ki67 are positive mainly within the germinal center, while BCL2 is positive mainly outside the germinal center. CD20 is diffusely positive inside and outside the germinal center. (B) The table shows that germinal center CD20-positive cells are also positive for BCL6 and Ki67 but negative for BCL2. Please click here to view a larger version of this figure.
Sequence of antibody staining | Primary antibody(see table of materials) | Total HIER required | Actual pre stain HIER | Secondary antibody | Fluorophore | Post-TSA antibody stripping |
1 | Mouse anti- Bcl6 (1:30, 60min RT) | 25minutes, Ph9 | 25minutes, Ph9 | HRP-conjugated anti-mouse, 1:1000' for 10 ' | OPAL Cy5 at 1:100 | 1 round 100%power 1 min, 20% power for 10min |
2 | Mouse anti-Bcl2(1:50,60 min RT) | 25minutes, Ph9 | None | HRP-conjugated anti-mouse, 1:1000' for 10 ' | OPAL 520 at 1:100 | 1 round 100%power 1 min, 20% power for 10min |
3 | Rabbit anti-c-MYC(1:50,30 min RT) | 25minutes, Ph9 | None | HRP-conjugated anti-rabbit, 1:1000' for 10 ' | OPAL 570 at 1:100 | 1 round 100%power 1 min, 20% power for 10min |
4 | Mouse anti-CD20(1:2000,30 min RT) | 25minutes, Ph9 | None | HRP-conjugated anti-mouse, 1:1000' for 10 ' | OPAL 540 at 1:100 | 1 round 100%power 1 min, 20% power for 10min |
5 | Mouse anti-Ki-67(1:50,45 min RT) | 30minutes, Ph9 | 5 minutes pH9 | HRP-conjugated anti-mouse, 1:1000' for 10 ' | OPAL 620 at 1:100 | 1 round 100%power 1 min, 20% power for 10min |
Table 1: Example of a finalized layout for multiplex IF staining. This table provides an example of how to specify the amount of HIER and microwave-based stripping to be done at each step, once the monoplex stains have been optimized.
Table 2: Guide toward the filter selection for fluorophores. This table provides a rough guide toward appropriate filters that can be used on specified equipment, to visualize fluorophores of interest. It is recommended to check the filter specifications of the microscope being used in relation to the emission/excitation profile of the fluorophores used.
mf-IHC has the potential to enable pathologists to refine diagnosticcriteria in lymphoid pathology and to analyze the role of biomarkers in specific cell types toward a prediction of clinical outcome. As a new research method, mf-IHC is increasingly applied to the quantitative and spatial identification of multiple immune parameters of tumor cells17. The detection of mf-IHC for the co-expression of tumor biomarkers has been shown to be reproducible and reliable5. However, the technology remains nascent and subjected to variability arising from reagent- and/or tissue-related factors, such as those due to inconsistency in tissue fixation and processing.
Critical to the technique is the use of well-validated antibodies that are specific, sensitive, and give reproducible results. There are examples in the literature of antibodies originally described to be specific for their antigens and later demonstrated to recognize unrelated proteins through the use of knock-out models14. The knock-out/ knock-down validation method in which wild-type or cells with overexpressed antigens serve as positive controls while cells with the targets knocked out or knocked down by siRNA or CRISPR methods are used as negative controls.
Like the conventional IHC, mf-IHC has many critical variables that need to be optimized for every experiment, for optimal staining and results. These include the pH of the antigen retrieval solution, the antibody dilution, the assignment of a fluorophore to each marker, and the concentration of the fluorophore. The commonly used antigen retrieval solutions are of pH 6 and 9. It is worthwhile to test which pH gives the optimal staining pattern and intensity with less background.
There are no specific guidelines to decide on the sequence of antibody application in the multiplex experiment as it depends not just on the affinity of the antibody, but also on the strength of the opal fluorophores. In general, antibodies with a weak affinity often require higher concentrations based on the monoplex staining and are applied first in the multiplex sequence. Strong affinity antibodies that are likely to be resistant to stripping are applied last, to avoid nonspecific staining. With regard to the choice of a specific fluorophore, it is preferable to avoid using fluorophores with similar spectral wavelengths for antigens which colocalize in the same cellular compartments. Antigens with low expression levels are assigned with the brightest fluorophores and vice versa. If, in the study sample, the signal intensity is weak, adjusting the opal TSA dilution can be done to achieve the desired signal18. In some cases, trying different antigen retrieval methods or increasing the primary antibody concentration may work. The initial dilution of the primary antibody can be the same as that established in a conventional IHC experiment. However, if the IF signal is not clear, the testing of other antibody dilutions will be required, as the conditions optimized for IHC do not always translate to IF. Signal intensity is affected by the order or sequence of immunostaining. Some epitopes are overexposed after two or three rounds of MWT, while some may degrade due to excess MWT. Certain fluorophores can also be affected by MWT and need to be tested for attenuation.
This protocol focuses on the colocalization and measurement of the intensity of markers within subsets of cells in a malignant B-cell lymphoma. The key challenges in the development of the current protocol involve the generation of an optimized multiplex panel for antigens that colocalize in the same cellular compartments. There needs to be an accurate unmixing of fluorophores for precise quantification. Once the multiplex panel is in place, imaging of the stained slides is relatively straightforward. The next hurdle involves the analysis of the imaged data. Unlike in immune infiltration studies, where the quantitation of specific immune cell types within an epithelial tumor is straightforward, colocalization studies in lymphoma rely heavily on the definition of positivity by a trained pathologist for each marker of interest. Deriving at an appropriate diagnostic cut-off which can be applied to routine clinical practice remains a work in progress. Further refinements in methods of data normalization and automated cut-off triangulation will be required before this technique can be integrated into routine diagnostics.
Despite current limitations, the potential applications of mf-IHC and the knowledge that may be gleaned from the study of tumor cells and their spatial relationship with the microenvironment make it an attractive tool, especially for challenging histological cancers such as lymphoid malignancy. Further work is needed to establish protocols in tissue fixation and tissue processing that are optimal for the proposed workflow, as well as an enhancement in staining techniques, to allow for the simultaneous analysis of an increased number of targets.
The authors have nothing to disclose.
S.-B.N. and A.D.J. are supported by the Singapore Ministry of Health's National Medical Research Council Transition Awards (NMRC/TA/0020/2013 and NMRC/TA/0052/2016). The authors acknowledge a Yong Siew Yoon Research Grant to A.D.J. from the National University Cancer Institute of Singapore toward the purchase of a Vectra spectral imaging microscope. This study is approved by the Singapore NHG Domain Specific Review Board B (2014/00693).
Antibody diluent | DAKO | REF S3022 | Blocking |
Peroxidase Blocking Solution | DAKO | S2023 | For peroxide blocking |
Vectra multispectral automated microscope | Perkin Elmer | Vectra2.0.8 | Spectral imaging |
absolute Ethanol | EMSURE | 1.00983.2500 | Ethyl alcohol for rehydration |
Amplification Diluent | PERKIN ELMER | FP1135 | Fluorophore diluent buffer |
Anti-Mouse IgG [Goat] HRP-Labeled | PERKIN ELMER | NEF822001EA | Secondary antibody |
Anti-Rabbit IgG [Goat] HRP-Labeled | PERKIN ELMER | NEF812001EA | Secondary antibody |
BCL2 | DAKO | clone 124 ( Lot No. 20031561)(RRID-AB578693) | primary antibody |
BCL6 | LEICA | NCL-L-Bcl6-564(Lot No.6050438)(RRID-AB563429) | primary antibody |
CD20 | DAKO | Clone L26 (Lot No.20028627) (RRID-AB442055) | primary antibody |
c-MYC | ABCAM | Y 69 clone ab32072 (Lot NO.GR29511133)(RRID-AB731658) | primary antibody |
Cy 5 | PERKIN ELMER | FP1171 | Appropriate tyramide based fluorescent reagent |
Graphpad Prism 7 | Graph pad | Statisitcal software | |
HistoClear Clearing Agent | SIGMA | H2779-1L | Histoclear for dewaxing and clearing |
inForm Advanced Image Analysis Software |
Perkin Elmer | Inform Software 2.2.1 | Data Analysis software |
KI67 | DAKO | Clone MIB-1 (Lot No.20040401) (RRID-AB2314699) | primary antibody |
KOS MILESTONE multifunctional tissue processor | Milestone | Microwave for Heat induced epitope retrieval | |
Microwave | PANASONIC | NN-ST651M | Microwave stripping |
Mowiol | SIGMA ALDRICH | 81381 Aldrich Mowiol® 4-88 | mounting media |
Opal 570 | PERKIN ELMER | FP1488 | Appropriate tyramide based fluorescent reagent |
Opal520 | PERKIN ELMER | FP1487B21 | Appropriate tyramide based fluorescent reagent |
Opal540 | PERKIN ELMER | FP1494 | Appropriate tyramide based fluorescent reagent |
Opal620 | PERKIN ELMER | FP1495 | Appropriate tyramide based fluorescent reagent |
Poly-L-lysine coated slide | FISHER SCIENTIFIC | 120-550-15 | Slide for tissue section adhesion in routine histological use |
Spectral DAPI | PERKIN ELMER | FP1490 | nucleic acid stain |
Target Retrieval Solution, pH9.0(10x) | DAKO | S2367 | For HIER |
Tris Buffer saline (TBS) | 1st BASE | BUF3030 20X4L | for buffer wash |
Tween 20 | SIGMA ALDRICH | P1379-1L | Tween |