Pathology

An introduction to types of blood cancers

Flow cytometry is a technique that has become ubiquitous in modern day laboratories. Flow cytometry finds use in a plethora of different settings from biobanks to infectious disease laboratories. The technology is important in haematology and immunology laboratories, allowing for the immunophenotyping of cancers such as leukaemias and lymphomas.

Leukaemias and lymphomas, which are also commonly referred to as “blood cancers”, are pathologies of the haemtopoietic and lymphoid tissues ie. cells of the bone marrow, blood circulatory and lymphatic systems. Clinicians will often diagnose these illnesses by analysing biological markers that are associated with these diseases (Cree, 2022).  They will often look for abnormal cell counts, an increase in clonal cell populations, and changes in expression of cell surface and intracellular markers in different cell types (Waldron et al., 2022, Eichhorst et al., 2021, Kappelmayer et al., 2000).

Leukaemias are designated into four general categories, broadly dependent on which cell lineage they originated from (Figure 1) (PDQ Adult Treatment Editorial Board, 2023). There are acute and chronic myeloid leukaemias (AML and CML) which occur in cells of myeloid lineage such as granulocytes (neutrophils, basophils, and eosinophils etc.), and acute and chronic lymphocytic leukaemias (ALL and CLL) which affect cells of lymphoid origin such as B-cells and T-cells. Lymphomas on the other hand can be categorised into two broad categories namely Hodgkin and non-Hodgkin lymphoma. The main difference between the two is the presence of large, abnormal lymphocytes associated with Hodgkin lymphoma known as Reed-Sternberg cells (Sadaf et al., 2023). Myelomas, another important haematological malignancy, are cancers of plasma cells – B-lymphocytes that secrete antibodies. Myelomas are characterised by clonal expansion of plasma cells which can form tumours (plasmacytomas) in bone marrow, and sometimes tumours can form in other soft tissues as well (Rajkumar et al., 2014).

The identification and characterisation of the cell populations play a crucial role in the diagnosis and effective treatment of haematological malignancies. Flow cytometry emerges as a pivotal technique, enabling the simultaneous analysis of multiple cell parameters. Furthermore, this method proves valuable in tracking treatment responses and detecting signs of disease relapse.

Figure 1. Haematopoietic stem cell differentiation pathway. An illustration of the progressive transformation of haematopoietic stem cells into various mature blood cell types, including red blood cells and white blood cells through a series of intermediate stages. Image by Mikael Häggström (Häggström, 2014)
Flow cytometry basic principles, intracellular vs extracellular markers

Flow cytometry allows for the sorting and analysis of cells based on various characteristics. Cells are labelled with antibodies conjugated to fluorescent particles which emit light when excited by various lasers within the flow cytometer. Detectors can distinguish cell size and complexity based on light scatter, while other detectors capture information on which markers are expressed by a cell, based on the wavelength of light emitted by fluorescent particles. (Figure 2).

If one considers the basic structure of a mammalian cell, target markers could be found on the surface of the cell embedded in the cellular membrane (extracellular), or within the cell itself in regions such as the cytoplasm or the nucleus (intracellular). Both types of markers would require different approaches for their analysis by flow cytometry. Typically for both preparations some sort of lyse/wash steps will be included which help remove red blood cells and other debris that may interfere with the assay. It is also important to consider other pre-analytical variables such as cell viability, time on ice/freeze thaw cycles, centrifugation and vortexing etc. which can all influence the outcome of the assay (see https://diagnostech.co.za/flow-cytometry-instrument-and-sample-preparation/).

Antibodies targeting extracellular markers are commonly used in immunophenotyping, however, intracellular markers may also add value in disease diagnosis. Extracellular markers identify the cell types, e.g. CD3+ T-cells which co-express either CD4 or CD8 on the cell surface, with intracellular markers in those specific cell phenotypes helping to further characterise those cells e.g. CD3+CD4+FoxP3+ – regulatory T-cells. Staining intracellular markers requires additional preparation, with the cells being fixed with paraformaldehyde and then permeabilised with an alcohol or detergent to allow the conjugated antibodies to enter the cell. Commercial kits are available that can simplify this process, such as IntraStain from Agilent (Agilent cat.no. K2311).

Figure 2. Schematic of flow cytometry fundamentals. A suspension of stained cells is introduced into the flow cytometer, where both scatter and fluorescent light signals are detected as the cells pass through a focused light source in single file. In instruments equipped with sorting capabilities, each individual cell is thoroughly characterised, and if needed, it can be isolated from the main cell population through electrostatic droplet deflection. Photomultiplier tubes (PMTs), analogue-to-digital converter (ADC), forward scatter (FSC), Side scatter (SSC), fluorescence (FL-1,2,3). Reproduced from Flow Cytometry Bioinformatics (O'neill et al., 2013)
EuroFlow Panels, Agilent Markers

Panel design plays an important role in flow cytometry analysis. The grouping of antibodies labelled with different fluorochromes targeting intracellular or extracellular markers allows the investigator to define and characterise a mixed population of cells. The EuroFlow Consortium has played a significant role in development of flow cytometry panels for leukaemia and lymphoma. The EuroFlow Consortium is a collaborative research initiative focused on the development of standardised flow cytometry protocols and tools for the diagnosis, classification, and monitoring of haematological malignancies. They work on creating standardised antibody panels, data analysis algorithms, and reporting guidelines to ensure consistent and comparable results across different laboratories and clinical settings. This collaboration involves multiple institutions and experts, and it often leads to the publication of guidelines and recommendations for the clinical use of flow cytometry in haematology. The EuroFlow Consortium has put together several standardised screening and testing panels for haematological malignancies. Specific antibodies are recommended as references in these panels, with Agilent Dako antibodies recommended in many of them.

Figure 3. EuroFlow Consortium. The EuroFlow Consortium is an international initiative that unites experts and researchers in the field of flow cytometry.
Figure 4. Diagram depicting EuroFlow panels and workflow of immunophenotyping various blood cancers. The panels follow a rationale of initial diagnosis and then further characterisation, supplemented with MRD monitoring. Reproduced from Nature Leukaemia (Van Dongen et al., 2012)
Acute Leukaemia Orientation Tube (ALOT)

The EuroFlow ALOT panel was developed to assess the characteristics of immature blast cell populations in acute leukaemia samples, allowing the investigator to distinguish between B-cell, T-cell, non-lymphoid, or mixed cell phenotypes (Van Dongen et al., 2012). It aids in directing towards the requisite complementary antibody panels such as BCP-ALL, T-ALL, or AML/MDS which further refine the analysis. Using the ALOT panel in combination with other protocols, it allows for the detection or exclusion of most types of haematological malignancies. As shown in Table 1., two markers from Agilent Dako are recommended as reference antibodies, the FITC-labelled anti-MPO clone ‘MPO-7’ (Agilent cat.no. F0714) and the PE-labelled anti-CD79α clone ‘HM57’ (Agilent cat.no. R7159 ). EuroFlow also recommends the PacB-labelled anti-CD3 clone ‘UCTH1’ from Agilent as an alternative to the BD reference (Agilent cat.no. PB982).

Table 1. ALOT

MarkerFluorochromeCloneSourceCat. #Agilent Dako alternative cat. #
cyCD3PacBUCHT1BD Biosciences558117PB982
smCD3APCH7SK7BD Biosciences641415
CD7APC124-1D1eBioscience17-0079-42
CD19PECy7J3-119Beckman CoulterIM3628
CD34PerCPCy5.58G12BD Biosciences347222
CD45PacOHI30InvitrogenMHCD4530
cyCD79αPEHM57Agilent DakoR7159
cyMPOFITCMPO-7Agilent DakoF0714
Lymphoid Screening Tube (LST)

The purpose of this panel is for initial diagnostic screening in suspected haematological maligancies. This panel efficiently detects phenotypically aberrant mature B-, T-, and NK-cells in various body tissues and fluid, which can then direct further analysis with other antibody panels for accurate diagnosis and classification of lymphoproliferative disorders (Van Dongen et al., 2012). The panel was developed to evaluate various medical conditions such as lymphocytosis in peripheral blood, lymphoid infiltrates in bone marrow, monoclonal components in serum, or enlargement of various tissues like lymph nodes and spleen. The FITC-labelled anti-CD8 ‘DK25’ clone from Agilent can be used as an alternative to the clone from Cytognos (Table 2.) (Agilent cat.no. PB982).

Table 2. LST

MarkerFluorochromeCloneSourceCat. #Agilent Dako alternative cat. #
smCD3APCSK7BD Biosciences345767
CD4PacBRPA-T4BioLegend300521
CD5PerCPCy5.5L17F12BD Biosciences341109
CD8FITCUCH-T4CytognosCYT-SLPC-50F0765
CD19PECy7J3-119Beckman CoulterIM3628
CD20PacB2H7BioLegend302320
CD38APCH7HB7BD BiosciencesEU: 656646
US: 653314
CD45PacOHI30InvitrogenMHCD4530
CD56PEC5.9CytognosCYT-SLPC-50
smIgκPEPolyclonalCytognosCYT-SLPC-50
smIgλFITCPolyclonalCytognosCYT-SLPC-50
TCRγδPECy711F2BD BiosciencesEU:655410
US: 655434
Antibody panel for B-cell precursor ALL (BCP-ALL)

The BCP-ALL panel serves the purpose of recognising and classifying all immature B-cell lineage malignancies (Van Dongen et al., 2012). This includes classically defined BCP-ALL such as pro-B-ALL, common-ALL and pre-B-ALL. The information obtained from the BCP-ALL panel needs to be combined with the ALOT panel data. This integration is crucial for a comprehensive evaluation and accurate classification of BCP-ALL. The ALOT panel offers a broader orientation to acute leukaemias, while the BCP-ALL panel focuses specifically on the detailed characterisation of BCP-ALL, allowing for a more precise diagnosis. As shown in Table 3., two markers from Agilent Dako are recommended as reference antibodies, FITC-labelled rabbit anti-human IgM polyclonal sera (Agilent cat.no. F0058) and the FITC-labelled anti-TdT clone ‘HT-6 ‘(Agilent cat.no. F7139). The APC-labelled anti-CD117 ‘104D2’ clone from Agilent can be used as an alternative to the clone from BD Biosciences (Table 3.) (Agilent cat.no. C7244).

Table 3. BCP-ALL

MarkerFluorochromeCloneSourceCat. #Agilent Dako alternative cat. #
CD9PacBMEM-61ExbioPB-208-T100
CD10APCHI10ABD Biosciences332777
CD13PEL138BD Biosciences347406
CD15FITCMMABD Biosciences332778
CD19PECy7J3-119Beckman CoulterIM3628
CD20PacB2H7BioLegend302320
CD21PacBLT21ExbioPB-306-T100
CD22APCS-HCL-1BD Biosciences333145
CD24APCH7ML5BD BiosciencesEU: 658331
CD33PEP67.6BD Biosciences345799
CD34PerCPCy5.58G12BD Biosciences347222
CD38APCH7HB7BD BiosciencesEU: 656646
US: 653314
CD45PacOHI30InvitrogenMHCD4530
CD58FITC1C3BD Biosciences555920
CD65FITC88H7Beckman CoulterB36299
CD66cPEKOR-SA3544Beckman CoulterIM2357U
CD81APCH7JS-81BD BiosciencesEU: 656647
US: 656154
CD117APC104D2BD Biosciences333233C7244
CD123APCAC145Miltenyi Biotec130-113-322
smIgκPacBA8B5ExbioPB-504-T100
smIgλAPCC750PolyclonalCytognosCYT-LAC750
cyIgµFITCPolyclonal rabbit serumDakoF0058
smIgMAPCG20-127BD Biosciences551062
NG2PE7.1Beckman CoulterB92429
nuTdTFITCHT-6DakoF7139
T-cell acute lymphoblastic leukaemia (T-ALL)

The T-ALL panel is used when the ALOT panel indicates T-lineage precursor expansion (Van Dongen et al., 2012). T-ALL is an aggressive haematological malignancy characterised by the clonal proliferation of immature T-lymphoblasts. These cells are arrested at various stages of T-cell development, resulting in their accumulation in the bone marrow, peripheral blood, and potentially other tissues. As shown in Table 4., one marker from Agilent Dako is recommended as a reference antibody, the FITC-labelled anti-TdT clone ‘HT-6 ‘(Agilent cat.no. F7139).

Table 4. T-ALL

MarkerFluorochromeCloneSourceCat. #
CD1aAPCHI149BD Biosciences559775
CD2FITCRPA-2.10BD Biosciences555326
cyCD3PacBUCHT1BD Biosciences558117
smCD3APCH7SK7BD Biosciences641415
CD4PerCPCy5.5SK3BD Biosciences332772
CD5PerCPCy5.5L17F12BD Biosciences341109
CD7APC124-1D1eBioscience17-0079-42
CD8PECy7SFCI21Thy2D3Beckman Coulter737661
CD10PECy7HI10ABD Biosciences341112
CD13PEL138BD Biosciences347406
CD33PerCPCy5.5P67.6BD Biosciences333146
CD44FITCL178BD Biosciences347943
CD45PacOHI30InvitrogenMHCD4530
CD45RAPECy7L48BD Biosciences337186
CD56PECy7N901Beckman CoulterA21692
CD99PETü12BD Biosciences555689
CD117PE104D2BD Biosciences332785
CD123APCAC145Miltenyi Biotec130-113-322
HLA-DRPerCPCy5.5L243BD Biosciences552764
TCRabPEIP26ABeckman CoulterA39499
cyTCRbAPC8A3 (bF1)CytognosCYT-BF1AP
TCRgdFITCIMMU510Beckman CoulterIM1571U
nuTdTFITCHT-6DakoF7139
Acute myeloid leukaemia/myelodysplastic syndrome (AML/MDS)

Several panels act as compliments to the ALOT panel, this includes the AML/MDS antibody panel. This panel is used for patients suspected of having AML or MDS and can characterise myeloid lineages and abnormal phenotypes (Van Dongen et al., 2012). Unlike other leukaemias such as T-ALL and BCP-ALL, the cell populations involved can be highly heterogenous and affect various lineages at different maturation stages. As shown in Table 5., one marker from Agilent Dako is recommended as a reference antibody, the FITC-labelled anti-TdT clone ‘HT-6 ‘(Agilent cat.no. F7139).

Table 5. AML/MDS

MarkerFluorochromeCloneSourceCat. #
CD4APCH7SK3BD Biosciences641398
CD7APC124-1D1eBioscience17-0079-42
CD9APCH7M-L13BD BiosciencesEU: 655409
CD10APCH7HI10ABD BiosciencesEU: 655404
US: 655426
CD11bAPCD12BD Biosciences333143
CD13PEL138BD Biosciences347406
CD14APCH7MjP9BD Biosciences641394
CD15FITCMMABD Biosciences332778
CD16FITCCLB Fc gran/1, 5D2SanquinM1604
CD19APCH7SJ25C1BD Biosciences641395
CD22APCS-HCL-1BD Biosciences333145
CD25PE2A3BD Biosciences341011
CD33APCP67.6BD Biosciences345800
CD34PerCPCy5.58G12BD Biosciences347222
CD35FITCE11BD Biosciences555452
CD36FITCCLB-IVC7SanquinM1613
CD38APCH7HB7BD BiosciencesEU: 656646
US: 653314
CD41aFITCHIP8BD BiosciencesEU: 333147
US: 340929
CD42aFITCGRP-PSerotecMCA1227F
CD42bAPCHIP1BD Biosciences551061
CD45PacOHI30InvitrogenMHCD4530
CD56PEC5.9CytognosCYT-56PE
CD61FITCRUU-PL7F12BD Biosciences347407
CD64PE10.1BD Biosciences644385
CD71APCH7M-A712BD BiosciencesEU: 655408
US: 655431
CD105PE266BD Biosciences560839
CD117PECy7104D2D1Beckman CoulterEU: B49221
IM3698
CD123APCAC145Miltenyi Biotec130-113-322
CD203cPE97A6Beckman CoulterB92404
CD300eAPCUP-H2ImmunostepIREM2A-T100
HLADRPacBL243BioLegend307624
NG2PE7.1Beckman CoulterB92429
nuTdTFITCHT-6DakoF7139
Plasma cell disorders (PCD)

Plasma cell disorders are a group of diseases characterised by abnormal growth and proliferation of plasma cells. They typically exhibit an overproduction of a single monoclonal antibody that can be detected in blood or urine. Multiple myelomas (MM) and monoclonal gammopathy of undetermined significance (MGUS) are typical plasma cell disorders. The PCD panel has been developed to identify and count plasma cells as well as to discriminate between normal and pathological monoclonal cells (Van Dongen et al., 2012). As shown in Table 6., two markers from Agilent Dako are recommended as reference antibodies, the PacB-labelled anti-CD45 clone ‘T29/33’(Agilent cat.no. PB986) and APC-labelled rabbit anti-human cyIgκ polyclonal sera ‘(Agilent cat.no. C0222). The APC-labelled anti-CD117 ‘104D2’ clone from Agilent can be used as an alternative to the clone from BD Biosciences (Table 6.) (Agilent cat.no. C7244).

Table 6. PCD

MarkerFluorochromeCloneSourceCat. #Agilent Dako alternative cat. #
CD19PECy7J3-119Beckman CoulterIM3628
CD27PerCPCy5.5L128BD BiosciencesEU: 656643
US: 655429
CD28PEL293BD Biosciences348047
CD38FITCLD38CytognosCYT-38F
CD38pureLD38CytognosCYT-38P1
CD45PacBT29/33DakoPB986
CD56PEC5.9CytognosCYT-56PE
CD81APCH7JS-81BD BiosciencesEU: 656647US: 656154
CD117APC104D2BD Biosciences333233C7244
CD138PacOB-A38ExbioPO-520
b2microPerCPCy5.5Tü99BD BiosciencesEU: 656645US: 655435
cyIgκAPCPolyclonal rabbit serumDakoC0222
cyIglAPCC750PolyclonalCytognosCYT-LAC750
Antibody panel for B-cell chronic lymphoproliferative diseases (B-CLPD)

B-CLPD are a group of disorders characterised by the abnormal proliferation of mature B-cells. Types can include Chronic Lymphocytic Leukaemias (CLL), Mantle Cell Lymphoma (MCL) and Hairy Cell Leukaemias (HCL) (Van Dongen et al., 2012). As shown in Table 7., one marker from Agilent Dako is recommended as a reference antibody, the FITC-labelled anti-CD23 clone ‘MHM6‘(Agilent cat.no. F7062).

Table 7. B-CLPD

MarkerFluorochromeCloneSourceCat. #
smCD3APCSK7BD Biosciences345767
CD4PacBRPA-T4BioLegend300521
CD5PerCPCy5.5L17F12BD Biosciences341109
CD8FITCUCH-T4CytognosCYT-SLPC-50
CD10PEALB1Beckman CoulterA07760
CD11cPerCPCy5.5B-Ly6BD Biosciences658330
CD19PECy7J3-119Beckman CoulterIM3628
CD20PacB2H7BioLegend302320
CD22PerCPCy5.5S-HCL-1BD Biosciences658329
CD23FITCMHM6DakoF7062
CD27APCL128BD Biosciences337169
CD31FITCWM59BD Biosciences555445
CD38APCH7HB7BD BiosciencesEU: 656646
US: 653314
CD39PETÜ66BD Biosciences555464
CD43APCH7IG10BD BiosciencesEU: 655407
US: 655430
CD45PacOHI30InvitrogenMHCD4530
CD49dAPCH79F10BD BiosciencesEU: 658332
CD56PEC5.9CytognosCYT-SLPC-50
CD62LFITCSK11BD Biosciences347443
CD79bPerCPCy5.5SN8BD Biosciences656644
CD81APCH7JS-81BD BiosciencesEU: 656647
US: 656154
CD95PEDX2BD Biosciences555674
CD103FITCBer-ACT8BD Biosciences333155
CD185APC51505R&D SystemsFAB190A
CD200APCOX104eBioscience17-9200
CD305PEDX26BD Biosciences550811
HLA-DRPerCPCy5.5L243BD Biosciences552764
smIgkPEPolyclonalCytognosCYT-SLPC-50
smIglFITCPolyclonalCytognosCYT-SLPC-50
smIgMAPCG20-127BD Biosciences551062
TCRgdPECy711F2BD BiosciencesEU: 655410
US: 655434
Minimal (or Measurable) Residual Disease in Multiple Myeloma (MM-MRD)

Minimal measurable disease refers to the small number of cancerous cells that remain in a patient following treatment, even when the patient is in remission and no symptoms of the disease are present (Kumar et al., 2016). These residual cells can eventually cause a relapse, making MRD analyses an important factor in monitoring effectiveness of therapy and the risk of disease recurrence. Many MM patients in remission will experience relapse therefore it is vital to monitor MRD using a sensitive and reliable method. As shown in Table 8., one marker from Agilent Dako is recommended as a reference antibody in the EuroFlow MM-MRD panel (Flores-Montero et al., 2017), the APC-labelled polyclonal anti-cyIgκ (Agilent cat.no. C0222). The APC-labelled anti-CD117 ‘104D2’ clone from Agilent can be used as an alternative to the clone from BD Biosciences (Table 8.) (Agilent cat.no. C7244).

Table 8. MM-MRD

MarkerFluorochromeCloneSourceCat. #Agilent Dako alternative cat. #
CD19PECy7J3-119Beckmann CoulterIM3628
CD27BV510O323BioLegend302835
CD38FITCMulti-epitopeCytognosCYT-38F2
CD45PerCPCy5.5HI30BioLegend304028
CD56PEC5.9CytognosCYT-56PE
CD81APCC750M38CytognosCYT-81AC750
CD117APC104D2BD Biosciences333233C7244
CD138BV421MI15BD Biosciences562935
cyIgκAPCPolyclonalDakoC0222
cyIgλAPCC750PolyclonalCytognosCYT-LAC750

In conclusion

Flow cytometry remains a vital tool in the modern clinical laboratory. The ability to assess the landscape of immune cells, identifying and distinguishing them with precision, is an invaluable asset for clinicians and researchers alike. The clinical significance of flow cytometry extends from initial diagnosis to assessing treatment responses and monitoring MRD. EuroFlow panels require precise and standardised reagents for diagnosing haematological diseases. Agilent antibodies are valued for their consistent and reliable performance, contributing to the robustness and comparability of flow cytometric data globally.

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