Marco Antonacci1#, Jacopo Micozzi1#, Alessandro Costa2, Alessandro Laganà1, Maria Laura Milani1, Stefania Intoppa1, Vittorio Bellomarino1, Maria Grazia Nardacci1, Mario Biglietto1, Stefano Imperatore1, Maria Laura Bisegna1, Maurizio Martelli1, Irene Della Starza1 and Maria Stefania De Propris1
1 Hematology,
Department of Translational and Precision Medicine, Az. Policlinico
Umberto I-Sapienza University, Rome, Italy.
2
Hematology Unit, Businco Hospital, Department of Medical Sciences and
Public Health, University of Cagliari, 09121 Cagliari, Italy
# Equal contribution
Correspondence to:
Maria Stefania De Propris. Hematology Department of Translational and
Precision Medicine Sapienza University of Rome. Via Benevento 6, 00161
Rome, Italy. Tel. +390649974778. E-mail:
depropris@bce.uniroma1.it
Published: March 01, 2025
Received: December 17, 2024
Accepted: February 08, 2025
Mediterr J Hematol Infect Dis 2025, 17(1): e2025016 DOI
10.4084/MJHID.2025.016
This is an Open Access article distributed
under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by-nc/4.0),
which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
|
Abstract
Background:
Discrimination between clonal and reactive cell proliferation is
critical for the correct management of T-cell lymphocytosis.
Multiparametric flow cytometry (MFC) represents a valuable tool,
particularly because it allows the evaluation of the T-cell receptor
(TCR) Vβ repertoire to pinpoint eventual clonality in T-cell
lymphocytosis. A restricted expansion of a single out of the 24
evaluable families or a "clonogram-off" pattern is highly suggestive of
the presence of a clonal T-cell population. However, data available on
the concordance between MFC TCR-Vβ repertoire and molecular analysis of
TCR gene rearrangements, which is regarded as the gold standard for
assessing T-cell clonality, are limited. Objective and methods:
We performed a retrospective monocentric study involving 307 patients
referred to our center for lymphocytosis between 2003 and 2024. The aim
of our study was to investigate the diagnostic accuracy of MFC TCR-Vβ
repertoire analysis and compare its performance with molecular analysis
of TCR gene rearrangements for the identification of T-cell clonality. Results: In clonally restricted cases,
MFC TCR-Vβ repertoire analysis demonstrated a restricted expansion of a
single Vβ family in 67.5% of cases, while a "clonogram-off" pattern
inferred clonality in the remaining 32.5%. For 215 (70%) patients, both
MFC TCR-Vβ repertoire analysis and molecular analysis of TCR gene
rearrangements were available, showing an absolute concordance (215 out
of 215 cases, 100%) between the two methods. Conclusion:
MFC TCR-Vβ repertoire analysis is a rapid, cheap, sensitive, and
reliable tool to identify clonal T-cell lymphocytosis. It represents an
absolutely valid first-line diagnostic approach, and it should be
included in the routine laboratory work-up performed on MFC analysis
for peripheral lymphocytosis. Keywords:
T-cell lymphoproliferative disorders; clonality; multiparametric
flow-cytometry; V repertoire analysis; TCR rearrangements; TCR-Vβ
repertoire MFC analysis.
|
Introduction
In
peripheral blood lymphocytosis, the discrimination between pathological
and reactive lymphocyte proliferation is pivotal for an accurate
differential diagnosis and appropriate therapeutic management,
especially for T-cell disorders. Approximately 90% of both normal and
neoplastic T cells express the αβ T-Cell Receptor (TCR αβ), which is
generated through somatic recombination of the V, D, and J gene
segments. This recombination process, characterized by nucleotide
insertions and deletions, generates a widely diversified TCR repertoire
that provides the foundation for adaptive immune specificity (Figure 1).[1] Allelic exclusion ensures that each T cell expresses only one TCR, resulting in a repertoire of approximately 2.5 x 107 clonotypes, offering broad immune coverage.[2]
A smaller proportion of T cells express γδ T-Cell Receptor (TCR γδ),
arising through a distinct recombination pathway during early
development.[3] In real-world clinical practice, the
identification of potential T-cell clonality in cases presenting with
peripheral lymphocytosis remains a significant challenge.
 |
- Figure 1. MFC TCR-Vβ repertoire dot plot of a TLD CD4+.
Representative dot plot showing a T lymphoproliferative disorder CD4+:
Red dots in the SSC/CD3 plot identify the pathological population of T
CD4+ cells with TCR -Vβ repertoire analysis showing an aberrant
expansion of the VB5.1 family (VIAL C plot); green ones are consistent
with the residual T lymphocytes CD8+ with normal family distribution
(upper right plots).
|
Multiparametric
flow cytometry (MFC) is an indispensable diagnostic tool for the
detection of the pathological nature of peripheral blood (PB)
lymphocytosis. While standardized MFC effectively identifies monoclonal
B-cell populations through light chain restriction analysis (κ or λ),[4-6]
T-cell clonality is more complex to determine and typically
necessitates polymerase chain reaction (PCR)-based molecular analysis
of TCR gene rearrangements.[7-9] However, T-cell
clonality can also be assessed through MFC TCR-Vβ repertoire analysis.
The use of anti-Vβ antibodies, targeting 24 distinct Vβ families,
enables the identification of a significant part of clonal T cells by
detecting expansion of a single Vβ family. Furthermore, in
approximately 30% of cases, clonality can be suggested by the absence
of detectable Vβ proteins, likely due to a clonal T-cell population
expressing a Vβ protein outside the assay panel's coverage.[10-11]
Therefore, combining MFC TCR-Vβ repertoire analysis with baseline
immunophenotypic profiling is an effective strategy to pinpoint a
clonal T-cell lymphocytosis, potentially eliminating the need for
molecular analysis of TCR gene rearrangement assay as a first-line
diagnostic approach.[11-13] A limited number of
studies have explored the concordance between MFC TCR-Vβ repertoire
analysis and molecular analysis of TCR gene rearrangements in
identifying T-cell clonality.[14-17]
Hence,
this retrospective study analyzes samples from 307 patients referred to
our center for PB lymphocytosis, comparing results from MFC TCR-Vβ
repertoire analysis with molecular analysis of TCR gene rearrangements
(detected by PCR and DNA sequencing). The primary aim of this
study is to evaluate, over a two-decade period, the concordance between
these two methods in detecting T-cell clonality and assess the
usefulness of MFC TCR-Vβ repertoire analysis as a first-level approach
in peripheral T cell lymphoproliferative disorders.
Materials and Methods
Study population.
We retrospectively collected MFC data from 307 patients with peripheral
T-cell lymphocytosis referred to our center at diagnosis from April
2003 to May 2024 (Figure 1).
For
this analysis, based on MFC findings, the diagnostic entities were
categorized into T-cell lymphoproliferative diseases (TLD), T-NK
lymphoproliferative diseases (T-NKLDs), and polyclonal T lymphocytosis
(PTL). All 307 patients underwent MFC evaluation. In 215 patients
(70%), both MFC TCR-Vβ repertoire analysis and molecular analysis of
TCR gene rearrangements were performed. For 55 cases (18%), only MFC
TCR-Vβ repertoire analysis was available, and in 37 patients (12%),
only molecular analysis of TCR gene rearrangements was performed (Figure 2).
Most of these 37 cases, lacking MFC TCR-Vβ repertoire analysis, were
collected around 2003, when Vβ repertoire analysis was not routinely
used in clinical practice at our institute. All patients signed the
informed consent for the analysis of their samples and the use of their
clinical data for scientific purposes.
 |
- Figure 2. A cohort distribution flow chart and MFC clustered diagnosis were detected.
Abbreviations: MFC, multiparametric flow cytometry; PTL, polyclonal T
lymphocytosis; TCR, T cell receptor; TLD, T lymphoproliferative
disease; TNKLD, T-NK lymphoproliferative disease.
|
Multiparametric Flow Cytometry Analysis.
The clustered immunophenotypic diagnosis was assessed by MFC using a
combination of monoclonal antibodies (mAbs) recommended by the EuroFlow
Consortium.[18-19] Peripheral blood (PB) samples were
stained within 24 hours of collection before any treatment, including
steroids. Total leukocytes cells were incubated with an appropriate
volume of mAbs directed against T, NK, and B lymphoid lineage antigens
(CD45, CD3, CD2, CD5, CD7, CD38, CD4, CD8, CD16, CD56, CD57, CD158a,
CD158b, TCR-αβ, and TCR-γδ for the lineage T/NK and CD19, CD20, CD22,
CD5, CD200, CD23, Ig λ and Ig κ light chains for the lineage B; sourced
from Becton Dickinson, San Jose, CA; Società Italiana Chimici, SIC,
Life Sciences, Rome, Italy; and Beckman Coulter, Brea, CA). Data on
standardized 4-6-8-12 color staining combinations were acquired on
FACSCalibur, FACSCanto I, FACSCanto II, or BD FACS Lyric flow cytometers
(Becton Dickinson) by collecting at least 50,000 ungated events and
analyzed using the Paint-A-Gate and FACSDiva software (Becton
Dickinson). Cytometer setup and tracking beads (BD) were used for daily
cytometer optimization. Pathological cells were gated within the total
CD45+ leukocyte population, considering that all cases were positive
for the pan-leukocyte antigen. Antigen expressions were measured using
specific mAbs and compared with values obtained from internal negative
controls, which were represented by a population of cells that do not
express the antigen of interest and thus remain unlabeled in an
antibody-labeled cell-suspension. These controls were exposed to
identical conditions (including exposure to the antibody directed to
the antigen of interest) as the cell population under investigation.
Cell surface antigen expression was estimated by assessing the
proportion of positive leukemic cells for each given antigen with a
positivity cut-off of equal or more than 20%.
MFC TCR-Vβ repertoire analysis.
Evaluation of Vβ expression was performed using the Beckman Coulter
Beta Mark TCR Vbeta Repertoire Kit© according to the manufacturer's
instructions. The kit is made up of 8 vials, each containing a premixed
combination of three monoclonal antibodies specific for a different
TCR-Vβ family (one stained with FITC, one with PE, and one with both
fluorochromes), thus covering 24 TCR- Vβ antigens and about 70% of the
normal human TCR- Vβ repertoire. Information on a minimum of 30.000
events was acquired for each reagent combination. Analysis was
performed by gating all CD3+ positive events after CD45 lymphocyte
selection on an SSC/CD45 plot. An additional gating strategy, including
immunophenotypically aberrant lymphocyte subsets, was used to enhance
the accuracy of TCR-Vβ repertoire analysis in cases of small lymphocyte
populations. T lymphocytes were further divided into CD4+ and
CD8+.
TCR-Vβ repertoire usage was assessed through 8
FITC/PE dot plots, each derived from one different test tube and
showing the combination of the three moAb in the FITC, PE, and double
positive quadrants. Then, the percentage value of each of the 24
families was calculated and reported on worksheet data. Data analysis
was conducted using the Paint-A-Gate and FACSDiva software (Becton
Dickinson).[11] Representative plots are reported in Figure 1.
Molecular analysis of TCR gene rearrangements.
Genomic DNA PB samples at diagnosis were screened by Polymerase Chain
Reaction (PCR) amplification using the BIOMED-2 primer sets for TCR
rearrangements.[20] The products obtained from TCR
rearrangements were further analyzed using heteroduplex analysis to
discriminate between amplifications derived from monoclonal or
polyclonal lymphoid cell populations.[21] Positive
PCR products were sequenced using the Big Dye Terminator Cycle
Sequencing Reaction Kit and analyzed using an automatic ABI PRISM 3130
DNA genetic analyzer (Applied Biosystems, Foster City, CA). The TCR
nucleotide sequences obtained were analyzed as reported.[22,23]
Statistical analysis.
The statistical methods employed in the analysis included descriptive
statistics, such as the calculation of medians and ranges (minimum and
maximum) for continuous variables, including age and various biological
markers. Frequencies and percentages were computed for categorical
variables, such as diagnostic groups and molecular rearrangements. A
chi-squared test was employed to assess the association between
categorical variables, with Fisher's Exact Test applied for
associations with low cell counts to ensure robustness in small sample
sizes. Comparative analyses were conducted to evaluate differences
between groups, such as diagnostic subcategories or the presence or
absence of molecular rearrangements. A significance level of p <
0.05 was adopted for all statistical tests, and all computations were
performed using the R statistical software.
Results
Study population. The
median age of the 307 patients included in the analysis was 64 years
(range 35-90). At the time of immunophenotypic assessment, the median
absolute lymphocyte count was 7.9 x 109/L (range 4.0 x 109/L - 224.6 x109/L), and the median count of detected pathological lymphocyte count was 2.25 x 109/L (1.0 x 109/L - 215.6 x 109/L) (Supplementary Table 1A).
Overall,
286 patients (93%) expressed an αβ T-Cell Receptor phenotype (sCD3+/TCR
αβ+), while 21 patients (7%) exhibited γδ T-cell receptor expression
(sCD3+TCR γδ+).
Among the 286 cases expressing αβ T cell Receptor (sCD3+TCR αβ):
- In
126 (44%) patients, the conclusive diagnosis was TLDs, which were
further classified as CD4+ (n=60 patients, 47.6%), CD8+ (n=55 patients,
43.7%), CD4+/CD8+ (n=8 patients, 6.3%), and CD4-/CD8- (n=3 patients,
2.4%); none of these cases expressed NK surface antigens.
- In 144
cases (50%), there was variable co-expression of NK cell antigens
(CD16, CD56, CD57, CD158a, CD158b) with T-cell antigens, leading to the
conclusive diagnosis of T-NKLDs. These were further classified as
follows: CD8+ (n=102 patients, 70.8%); CD4+ (n=16 patients, 11.2%);
CD4+/CD8+ (n=20 patients, 13.8%); CD4-/CD8- (n=6 patients, 4.2%).
- The remaining 16 cases (6%) were diagnosed as reactive T CD8+
lymphocytosis (PTLs) due to normal MFC TCR-Vβ repertoire family
expression and/or polyclonal TCR gene rearrangements detected by
molecular assay; of these 16 cases, the majority [nine (56%)] showed
HLA-DR expression by MFC.
Among the 21 cases (7%) expressing γδ
T cell Receptor (sCD3+TCR+ γδ+), eight cases (38%) were classified as
TLDs, while the remaining thirteen cases (62%) were classified as
T-NKLDs.
In all cases, the residual mature B cell population
(CD19+/CD22+/CD20+/CD38+/CD200+) was minimal, with a median count of
0.19 x 109/L (0.1 x 109/L - 13.44 x 109/L) and did not exhibit any κ- or λ light chain restriction or any aberrant antigen expression (Supplementary Table 1A e 1B).
MFC TCR-Vβ repertoire analysis. All
307 patients presenting with PB lymphocytosis were evaluated with an
MFC analysis exploiting a wide moAbs panel that included antibodies
directed against T/NK lineage antigens to highlight eventual aberrant
antigen expression.
A total of 270 patients (87.9%) included in
the analysis had available MFC TCR-Vβ repertoire data. In 170 cases
(63%), aberrant expansion of a single TCR-Vβ repertoire family included
in the kit was detected. Among all the 24 TCR-Vβ families, Vβ13.1 was
the most frequently expanded in 26 patients (15.3%), followed by Vβ8
and Vβ2 in 17 patients each (10%), Vβ17 in 11 patients (6.5%), and Vβ1
in 10 patients (5.9%). Conversely, in 88 cases (32.6%), the TCR-Vβ
repertoire analysis revealed the complete absence of expression for any
of the TCR-Vβ repertoire families tested ("clonogram-off") (Figure 3).
The clonogram displayed a “normal” plot (absence of aberrant expansion
of any of the TCR-Vβ repertoire families, thus presenting a normal
distribution) in all 12 patients (4.4%) with PTLs. All these cases of
reactive lymphocytosis were CD8+, and more than half (9 patients, 75%)
expressed HLA-DR reactivity antigen. Furthermore, when stratified by
clustered diagnosis (Figure 4A and 4B),
a similar frequency of expression of Vβ1, Vβ2, Vβ7.2 families and
clonogram-off was noted between the TLD and T-NKLD cohorts. Although
the frequency of certain MFC TCR-Vβ repertoire families was higher in
one diagnostic category compared to another, no statistically
significant difference was observed.
 |
Figure 3. Bar charts illustrating the distribution of MFC TCR-Vβ repertoire families.
Abbreviations: PTL, polyclonal T lymphocytosis; TCR, T Cell Receptor;
TLD, T lymphoproliferative disease; TNKLD, T-NK lymphoproliferative
disease. |
 |
Figure 4. Bar charts illustrating the distribution of MFC TCR-Vβ repertoire families across TLDs cohort (A) and TNKLDs (B) cohort.
Abbreviations: PTL, polyclonal T lymphocytosis; TCR, T cell receptor;
TLD, T lymphoproliferative disease; TNKLD, T-NK lymphoproliferative
disease.
|
Focusing
on the 21 cases expressing TCR γδ+: in 3 patients (14.3%) MFC TCR-Vβ
repertoire analysis showed pathological expansion of one family, two of
which were confirmed as monoclonal by molecular analysis of TCR gene
rearrangements (one sample was not available for molecular analysis);
in 12 cases (57.1%) MFC TCR-Vβ repertoire analysis showed a "clonogram
off" pattern and for 11 of the 12 patients (91.7%), a confirmed
monoclonal restriction was evidenced by molecular analysis of TCR gene
rearrangements (one sample was not available for molecular analysis);
for the remaining 6 cases (28.6%) MFC TCR-Vβ repertoire analysis was
not available (all cases confirmed as monoclonal by molecular analysis
of TCR gene rearrangements).
Molecular analysis of TCR gene rearrangements. Overall,
molecular analysis of TCR gene rearrangement assay (by PCR and DNA
sequencing) was performed in 252 patients (82%). The distribution of
different families’ rearrangements through the entire cohort is shown
in Figure 5. The most frequent
rearrangement detected by PCR was Vγ2-8Jγ1.3 in 110 patients (43.6%),
followed by Vγ9Jγ1.3 in 61 patients (24.2%), Vγ 2-8Jγ 1.1 in 52
patients (20.6%), Vγ10Jγ1.3 in 42 patients (16.7%), and Vγ10-11Jγ1.3 in
26 patients (10.3%). Similarly to MFC TCR-Vβ repertoire analysis, no
difference was found in the distribution of different families’
molecular rearrangement when stratified by diagnosis (Figure 6A and 6B).
 |
Figure 5. Bar charts illustrating the distribution of molecular TCR gene rearrangements across the whole cohort. Abbreviations: TCR, T cell receptor; TLD, T lymphoproliferative disease; TNKLD, T-NK lymphoproliferative disease.
|
 |
Figure 6. Bar charts illustrating the distribution of molecular TCR gene rearrangements across TLDs cohort (A) and TNKLDs (B) cohort. Abbreviations: TCR, T cell receptor; TLD, T lymphoproliferative disease; TNKLD, T-NK lymphoproliferative disease.
|
In
the 37 cases (12%) for which MFC TCR-Vβ repertoire analysis was not
available, only molecular analysis of TCR gene rearrangements was
performed.
Of these, four cases (10.8%) exhibited a polyclonal
TCR pattern, as suggested by clinical history and baseline
immunophenotyping (all cases were sCD3+/CD8+/HLA-DR+), while 33 cases
(89.2%) showed monoclonal TCR rearrangement.
Interestingly, in
most clonal cases, baseline MFC analysis was already highly suggestive
of pathological lymphocytosis, even in the absence of the MFC TCR-Vβ
repertoire analysis. In 4 cases (two sCD3+/CD8+/CD20+, one
sCD3+/CD4+/CD20+, and one TCRγδ+CD20) there was the rare aberrant CD20
expression; in other 4 cases there was the lack of surface sCD3 antigen
expression (sCD3-/cCD3+); in 13 cases there was the aberrant
co-expression of NK antigens (CD8+/CD16+/CD56+/CD158+); in 7 cases
there was the lack of CD7 antigen expression, while in other 2 cases
there was the aberrant co-expression of CD4/CD8 antigens.
Correlation between MFC TCR-Vβ repertoire analysis and molecular analysis of TCR gene rearrangement.
We analyzed data from 215 patients (70%) who underwent both MFC and
TCR-Vβ repertoire analysis and molecular analysis of TCR gene
rearrangements.
In 136 cases (63.3%), a pathological expansion
of a single Vβ family was observed in the MFC TCR-Vβ repertoire
analysis. Subsequent molecular analysis of TCR gene rearrangements
revealed monoclonal restriction, thus confirming the flow cytometry
findings.
In the other 70 cases (32.5%), the MFC TCR-Vβ
repertoire analysis showed the complete absence of expression in any of
the Vβ families tested (“clonogram off”), suggesting a pathological
clonogram and, consequentially, pathological lymphocyte expansion, as
confirmed by monoclonal restriction through molecular analysis of TCR
gene rearrangements.
Although HLA-DR expression in CD8+
lymphocytes is typically suggestive of reactive processes, in eight of
the 13 cases (61.5%) presenting HLA-DR antigen expression, the TCR-Vβ
repertoire MFC analysis showed pathological family expansion or
aberrant “clonogram-off” pattern, finding that was later confirmed by
monoclonal rearrangement of the TCR gene. Conversely, the other five
HLA DR+ cases (38.5%) showed a normal clonogram pattern, a finding that
was later confirmed by the negativity of the TCR gene rearrangement
molecular assessment.
Globally, in 9 out of
215 cases (4.2%) showing a regular distribution of Vβ families ("normal
clonogram") by MFC TCR-Vβ repertoire analysis, the molecular analysis
of TCR gene rearrangements confirmed the polyclonal nature of the
T-cell population in all instances.
Overall,
the concordance between MFC TCR-Vβ repertoire analysis and molecular
analysis of TCR gene rearrangements was as high as 100% (215 out of 215
cases). In fact, both in cases where molecular analysis of TCR gene
rearrangements detected clonality in T-cells and in those where such
method showed the absence of clonality, these results were consistent
with the results obtained from MFC TCR-Vβ repertoire analysis.
Finally, we evaluated the correlation between MFC TCR-Vβ repertoire families and molecular TCR gene rearrangement families (Figure 7).
Among TCR-Vβ repertoire findings, "clonogram-off" predominantly
correlated with Vγ2-8Jγ1.3 (32.1%), followed by Vγ9Jγ1.3 (15.7%),
Vγ2-8Jγ1.3 (13.5%), and Vγ10Jγ1.3 (10.7%) (p<0.01). Similarly,
Vβ13.1 was frequently associated with Vγ2-8Jγ1.3 (31.0%) or Vγ9Jγ1.3
(24.1%), while Vβ2 correlated primarily with Vγ2-8Jγ1.3 (29.4%) and
Vγ10Jγ1.3 (26.4%) (p<0.01).
 |
- Figure 7. (A)
Chord diagrams and (B) heatmap illustrating the associations between
MFC TCR-Vβ repertoire families and TCR gene rearrangements by PCR.
[A] Colored trajectories in the chord diagram join associated MFC TCR
-Vβ repertoire families and TCR gene rearrangements, while [B] in the
heat map the lighter squares show the degree of association between
TCR-Vβ repertoire families and TCR gene rearrangements.
|
Discussion
The
pivotal aim in the diagnostic assessment of peripheral lymphocytosis is
the identification of clonal populations, which allows the
differentiation between reactive and pathological conditions and
thereby guides clinical management. While the MFC detection of clonal B
cells is currently standardized through light chain restriction, the
assessment of T-cell clonality remains more complex and
resource-intensive, presenting significant diagnostic challenges.
The
comparison of MFC TCR-Vβ repertoire analysis with alternative clonal
detection techniques, such as molecular analysis of TCR gene
rearrangements, represents a significant area for discussion. Although
the sensitivity of MFC TCR-Vβ repertoire analysis has been explored in
the literature, direct comparisons with other methodologies remain
limited to small case series.[14-17] Notably, Morice et al.[15]
compared MFC TCR-Vβ repertoire analysis with molecular analysis of TCR
gene rearrangements (PCR and Southern blot) in 65 peripheral blood
samples suspected of TLD. They identified 29 TLD cases by molecular TCR
gene rearrangements assay, of which 26 showed clonality also via MFC
TCR-Vβ repertoire analysis; conversely, three cases did not exhibit
clonality by MFC TCR-Vβ repertoire analysis but resulted rearranged by
molecular assay.
A primary challenge in the field
emerges when clonality is inferred indirectly, particularly in cases
where dominant MFC TCR-Vβ repertoire family expansions are not
observed. In our cohort, 63.3% of cases were identified through MCF
TCR-Vβ repertoire family expansion, while 32.5% were deduced based on
clonogram-off profiles, consistent with previously published data.[14-16] Langerak et al.[14]
reported MFC TCR-Vβ family expansion in 66% of 47 suspected TLD cases,
with the remaining 16 cases (44%) showing a clonogram-off pattern and
molecular analysis of TCR gene rearrangements revealing monoclonal
rearrangements in all these cases.
Accordingly, all MFC TCR-Vβ
pathological clonogram cases (both expansion of a single TCR-Vβ
repertoire family and clonogram-off) in our study ultimately revealed
an underlying clonal process when tested by molecular analysis for TCR
gene rearrangements.
Our study, including 307 patients, of
whom 215 underwent both MFC TCR-Vβ repertoire analysis and molecular
analysis of TCR gene rearrangements, to the best of our knowledge,
represents the largest of its kind to date. Various gating strategies
and criteria for defining cell clonality have been proposed and
employed in the literature.[10-14,20-23]
Our approach predominantly focused on CD3+ populations, with a
particular emphasis on immunophenotypically aberrant subsets to enhance
the accuracy of MFC TCR-Vβ repertoire analysis. By carefully isolating
these aberrant populations, we were able to clearly identify the
restriction of individual MFC TCR-Vβ families or the presence of a
clonal profile.
Most cases in our cohort were diagnosed as T-
lymphoproliferative disease (TLDs and T-NKLDs), while only a few cases
were polyclonal/reactive lymphocytosis (PTLs). This is probably due to
the careful selection by clinicians, which led only highly suspicious
cases to undergo second-level analysis. The rate of concordance between
MFC TCR-Vβ repertoire analysis and molecular analysis of TCR gene
rearrangements in assessing TCR clonality was high (215 out of 215
cases, 100%), confirming other experiences reported in the literature.[14-17]
Another
important finding of our study that needs to be highlighted was the
ability of MFC TCR-Vβ repertoire analysis to detect clonality of a
T-cell population expressing antigens that are usually associated with
reactive conditions, such as HLA-DR, which is often expressed on
activated cytotoxic T-cells, a phenomenon previously described in
conditions such as viral infections and autoimmune diseases.[24-26]
Although not inherently indicative of malignancy, this expression can
occasionally obscure an underlying lymphoproliferative disorder.[27]
In our series, eight cases (3%) displayed a pattern of reactive
lymphocytosis (sCD3+/CD8+/HLA-DR+), yet MFC analysis revealed either a
dominant TCR-Vβ expansion or a clonogram-off profile, both suggestive
of an underlying clonal process, which was later confirmed by molecular
analysis of TCR gene rearrangements. All this highlights the importance
of a thorough investigation of persistent lymphocytosis over time, as
it may mask an underlying lymphoproliferative disorder (LPD) and
suggests the need to add MFC TCR-Vβ repertoire mAbs in routinary MFC
panels for T-cell analysis, as this could provide a rapid,
cost-effective, and efficient method in detecting LPDs.
Conclusions
MFC
TCR-Vβ repertoire analysis is a rapid, cheap, sensitive, and
quantitative method for detecting T-cell clonality in patients with
suspected T lymphoproliferative disorder.
Our findings show a
complete concordance between MFC TCR-Vβ repertoire analysis and
molecular analysis of TCR gene rearrangements over a prolonged period
of 20 years, supporting its role as an effective first-level approach
test, particularly in settings where molecular assay may not be readily
available.
Furthermore, the immunophenotypic study of T lymphoid
populations together with MFC TCR-Vβ repertoire analysis can be
complementary or used alternatively to molecular analysis of TCR gene
rearrangements, serving as a reliable tool for guiding the differential
diagnostic work-up toward T-cell clonal pathologies. Therefore, we
reckon that the use of MFC TCR-Vβ repertoire analysis constitutes an
effective first-line diagnostic approach for the detection of
peripheral T-cell lymphoproliferative disorders and that it should be
incorporated into standard MFC panels when a T-cell disorder is
suspected.
Authors'
contributions
MA
and JM: Write an original draft with equal contribution. MLM and SI:
flow cytometry assessment. DSI: molecular data analysis, interpretation
conceptualization, investigation, formal analysis, and contribution to
the writing of the original draft. VB: molecular data analysis and
interpretation. MB, MGN, and SI: contribution to the laboratory work.
AL: data collection, acquisition, analysis, interpretation, and review
of the manuscript. AC: data collection, acquisition, analysis, and
interpretation. MLB: review of the manuscript. MSDP: flow cytometry
assessment; data collection, acquisition, analysis, and interpretation;
conceptualization, investigation, formal analysis, and writing the
original draft. MM: Supervision and manuscript editing. All authors
have read and agreed to the published version of the manuscript.
Data availability statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Informed consent
Written informed consent was collected according to local practice.
Acknowledgments
Irene Della Starza, Maria Laura Milani, and Stefania Intoppa were supported by ROMAIL ONLUS.
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Supplementary files
 |
Table 1A. Patient characteristics stratified according to MFC clustered diagnosis.
Abbreviations: ALC, absolute lymphocyte count; PTL, peripheral T
lymphocytosis; TLD, T lymphoproliferative disease; TNKLD, T-NK
lymphoproliferative disease; WBCs, white blood cells.
|
 |
Table 1B. Patient
diagnosis according to MFC baseline analysis. Percentages (%) are
referred to the total population of 307
patients.
Abbreviations: TLDs, T cell lymphoproliferative disorders;
T-NKLDs, T-NK lymphoproliferative disorders; PTL, polyclonal/reactive T
lymphocytosis.
|