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Flow Cytometry in Haematology: Gating Strategies, B-ALL, T-ALL, AML and MRD Applications

● RCPA Haematology LO RCPAHAEM_TECH_022 2,873 words
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Overview


Technical Principles

Instrument Parameters and Panel Design

Parameter Biological correlate Practical use
FSC (forward scatter) Cell volume / size Distinguishes populations by size
SSC (side scatter) Internal granularity / complexity Separates granulocytes from lymphocytes
Fluorochrome conjugates Surface, cytoplasmic, nuclear antigens Lineage and maturation marker identification

For intracellular markers, including terminal deoxynucleotidyl transferase (TdT), cytoplasmic CD3 (cyt.CD3), cytoplasmic CD79a (cyt.CD79a), myeloperoxidase (MPO), and cytoplasmic immunoglobulin (cyt.Ig), cells must undergo membrane permeabilisation prior to staining.

Pre-analytical Considerations


Gating Strategy

A hierarchical, sequential gating strategy is the foundation of reproducible MFC analysis.

Sequential Gating Hierarchy

  1. Debris exclusion gate: FSC-A vs SSC-A, exclude debris, dead cells, and aggregates below the main cell cloud
  2. Doublet discrimination: FSC-H vs FSC-A (or SSC-H vs SSC-A), exclude doublets that cause false parameter readings
  3. CD45 vs SSC gate (leucocyte differential gate): The single most informative gating step for bone marrow and blood. CD45 expression versus SSC separates distinct populations:
Population CD45 expression SSC
Lymphocytes Bright Low
Monocytes Moderate-bright Moderate
Granulocytes Moderate High
Myeloid/lymphoid blasts Dim or negative Low
Erythroblasts Negative Low
  1. Lineage-specific sub-gates: Once blasts or populations of interest are isolated, further gating uses lineage markers (e.g. CD19 for B cells, CD3 for T cells, CD13/CD33 for myeloid cells)
  2. Back-gating verification: Putative MRD or rare populations must be back-gated onto the FSC/SSC plot to confirm biological plausibility and exclude artefacts

PNH Gating (Example of Sequential Gating in Practice)


B-Cell Acute Lymphoblastic Leukaemia (B-ALL)

Immunophenotypic Classification

Five immunological subtypes correspond to sequential stages of B-cell ontogeny (note: CD10-negative normal early B-cell progenitors are controversial):

Subtype CD10 CD20 cyt.IgM sIg
B-I / Pro-B / Early B Negative Negative Negative Negative
B-II / Common Positive Positive/− Negative Negative
B-III / Pre-B Positive Positive/− Positive Negative
B-IV / Mature B Positive/− Positive Negative Positive (κ or λ)

Note: Mature B-ALL (B-IV) is TdT positive or negative.

Genotype-Immunophenotype Correlations in B-ALL

Molecular/cytogenetic lesion Immunophenotypic signature
t(9;22) / BCR::ABL1 Common B-ALL (B-II); CD25 often positive; CD66c co-expression
KMT2A rearrangements Pro-B / early B phenotype; CD15 and NG2 often positive
ETV6::RUNX1 Common B-ALL; CD27 co-expression
Hyperdiploid (>50 chromosomes) Common B-ALL; CD21 expression
TCF3::PBX1 Pre-B phenotype (B-III)
BCR::ABL1-like (Ph-like) Variable; CD25+, CRLF2 overexpression assessable by MFC
iAMP21 Common B-ALL phenotype

T-Cell Acute Lymphoblastic Leukaemia (T-ALL)

Immunophenotypic Classification

Subtype CD34 CD1a sCD3 CD4/CD8 CD10
ETP-ALL Often + Negative Negative CD4−/CD8− Variable
Pro-T Positive Negative Negative CD4−/CD8− Negative
Pre-T Negative Negative Negative CD4−/CD8− Negative
Cortical T Negative Positive Negative CD4+/CD8+ (double positive) Positive
Medullary T Negative Negative Positive CD4+ or CD8+ (single positive) Negative

Acute Myeloid Leukaemia (AML)

Immunophenotypic Approach

AML subtype Key immunophenotypic features
AML with minimal differentiation (M0) CD13+, CD33+, CD117+, MPO+ (flow/EM); CD34+; no monocytic markers
AML without maturation CD13+, CD33+, MPO+, CD34 variable
AML with maturation CD13+, CD33+, MPO+, CD15 and CD11b emerge
Acute myelomonocytic (M4) CD13+, CD33+, MPO+, CD14+, CD64++, CD11b+
Acute monocytic (M5) CD14+, CD64++, CD11c+, CD36+; MPO often weak/negative
Acute erythroid CD71+, CD235a (glycophorin A)+, CD117+; CD34 variable
Acute megakaryoblastic (M7) CD41+, CD61+, CD36+; CD34 variable
APL (PML::RARA) CD34−, HLA-DR−, CD13+, CD33++, CD64 weak, CD11b−; characteristic high SSC
Acute basophilic leukaemia CD13+, CD33+, CD9+, CD11b+, CD22+, CD123+

Platelet/RBC fragment adhesion to blasts can cause non-specific CD41/CD61 positivity; correlation with morphology and immunohistochemistry is mandatory.

Mixed Phenotype Acute Leukaemia (MPAL)

Per WHO 2022, lineage assignment requires:

MPAL is defined when the same blast population expresses markers meeting criteria for two or more lineages simultaneously.


MRD Detection by Flow Cytometry

Principles and Strategies

MFC-MRD exploits two complementary approaches:

  1. LAIP (leukaemia-associated immunophenotype): Aberrant antigen combinations identified at diagnosis are tracked at follow-up. Requires a diagnostic baseline sample.
  2. DfN (different from normal): At follow-up, any population not conforming to normal regenerating haematopoietic progenitors is flagged. This approach accommodates phenotypic shift, the well-recognised phenomenon whereby leukaemic cells at relapse may alter antigen expression relative to diagnosis. Thorough knowledge of normal and regenerating bone marrow immunophenotypes is essential for DfN interpretation.

Comparative Sensitivity of MRD Methods

Method Applicability Sensitivity Specimen
Multiparameter flow cytometry ~95% of ALL; >90% of AML (LAIP detectable) $1 \times 10^{-4}$ Fresh cells
RQ-PCR for Ig/TCR rearrangements ~90% of ALL $1 \times 10^{-5}$ DNA
RQ-PCR for fusion gene transcripts (e.g. BCR::ABL1) Depends on frequency; BCR::ABL1 ~20-25% of adult ALL $1 \times 10^{-5}$ RNA
High-throughput sequencing (Ig/TCR) ~90% $10^{-5}$ to $10^{-6}$ DNA
Digital droplet PCR (ddPCR) Mutation/fusion gene targets $10^{-5}$ to $10^{-6}$ DNA/RNA

MFC is not the most sensitive platform, but its near-universal applicability (~95% of ALL cases have an informative immunophenotype), ability to provide cell viability data, and assessment of normal haemopoietic reconstitution make it indispensable.

Technical Requirements for MRD

Parameter Minimum standard Optimal standard
Sensitivity $1 \times 10^{-4}$ $1 \times 10^{-5}$ to $10^{-6}$
Events acquired ≥500,000 leucocytes ≥1,000,000 leucocytes
Events in MRD cluster ≥30-50 ≥50-100
Specimen Fresh bone marrow aspirate (preferred) ,
Time to processing <24 hours <6 hours

Always perform: instrument flush before acquisition; back-gating of candidate MRD events; record FSC-height, FSC-area, and time parameters to exclude artefacts.

MRD in AML

Key clinical applications:

MRD in ALL

MRD level (end of induction) Clinical significance
$<10^{-4}$ (MRD negative) Favourable; de-escalation may be considered in paediatric ALL
$10^{-4}$ to $10^{-3}$ Intermediate; close monitoring warranted
$>10^{-3}$ High relapse risk; consider intensification or alloHSCT

MRD in Multiple Myeloma

Marker Normal plasma cells Neoplastic plasma cells
CD19 Positive Negative
CD56 Negative Positive
CD27 Strong Weak or negative
CD81 Strong Weak or negative
CD28 Negative/weak Strongly positive
CD200 Negative/weak Strongly positive
CD117 Negative Aberrantly positive (subset)
CD20 Negative Aberrantly positive (subset)

Emerging Technologies

Next-Generation Flow (NGF)

Spectral Flow Cytometry

Mass Cytometry (CyTOF)

Digital PCR and NGS-MRD

ddPCR offers improved sensitivity and quantitative accuracy over conventional qPCR for molecular MRD targets (e.g. NPM1, fusion gene transcripts). Error-corrected deep NGS enables mutation burden tracking at $10^{-5}$ to $10^{-6}$ sensitivity across 13+ commonly mutated AML genes. These molecular platforms complement MFC rather than replacing it, since MFC uniquely provides cell viability data and assessment of normal haemopoietic reconstitution.

Single-Cell and Multi-Omic Integration


Quality Assurance and Pitfalls

Pitfall Consequence Mitigation
Inaccurate pipetting Error in cell concentration and antigen quantification Calibrated pipettes; internal bead controls
Incorrect gating False-positive or false-negative MRD calls Back-gating verification; independent review
Phenotypic shift Loss of LAIP at relapse; missed MRD Use DfN strategy at follow-up in parallel with LAIP
Haemodilution of BM aspirate Underestimation of disease burden Assess spicule adequacy; report cellularity
Platelet/RBC fragment adhesion to blasts Non-specific CD41/CD61 positivity on myeloblasts Correlation with morphology and immunohistochemistry
Lipidaemia Poor population separation Remove plasma, replace with PBS; repeat
Sample age Antigen degradation, increased cell death Process within 24 hours (MRD: fresh cells only)
Carry-over from previous sample False-positive events Instrument flush before each acquisition

Clinical Integration and Regulatory Considerations

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