Literature DB >> 29024461

Reproducible diagnosis of chronic lymphocytic leukemia by flow cytometry: An European Research Initiative on CLL (ERIC) & European Society for Clinical Cell Analysis (ESCCA) Harmonisation project.

Andy C Rawstron1, Karl-Anton Kreuzer2, Asha Soosapilla3, Martin Spacek4, Olga Stehlikova5,6, Peter Gambell7, Neil McIver-Brown8, Neus Villamor9, Katherina Psarra10, Maria Arroz11, Raffaella Milani12, Javier de la Serna13, M Teresa Cedena13, Ozren Jaksic14, Josep Nomdedeu15, Carol Moreno15, Gian Matteo Rigolin16, Antonio Cuneo16, Preben Johansen17,18, Hans E Johnsen17,18, Richard Rosenquist19, Carsten Utoft Niemann20, Wolfgang Kern21, David Westerman6, Marek Trneny4, Stephen Mulligan3, Michael Doubek5, Sarka Pospisilova5, Peter Hillmen1, David Oscier8, Michael Hallek2, Paolo Ghia22, Emili Montserrat23.   

Abstract

The diagnostic criteria for CLL rely on morphology and immunophenotype. Current approaches have limitations affecting reproducibility and there is no consensus on the role of new markers. The aim of this project was to identify reproducible criteria and consensus on markers recommended for the diagnosis of CLL. ERIC/ESCCA members classified 14 of 35 potential markers as "required" or "recommended" for CLL diagnosis, consensus being defined as >75% and >50% agreement, respectively. An approach to validate "required" markers using normal peripheral blood was developed. Responses were received from 150 participants with a diagnostic workload >20 CLL cases per week in 23/150 (15%), 5-20 in 82/150 (55%), and <5 cases per week in 45/150 (30%). The consensus for "required" diagnostic markers included: CD19, CD5, CD20, CD23, Kappa, and Lambda. "Recommended" markers potentially useful for differential diagnosis were: CD43, CD79b, CD81, CD200, CD10, and ROR1. Reproducible criteria for component reagents were assessed retrospectively in 14,643 cases from 13 different centers and showed >97% concordance with current approaches. A pilot study to validate staining quality was completed in 11 centers. Markers considered as "required" for the diagnosis of CLL by the participants in this study (CD19, CD5, CD20, CD23, Kappa, and Lambda) are consistent with current diagnostic criteria and practice. Importantly, a reproducible approach to validate and apply these markers in individual laboratories has been identified. Finally, a consensus "recommended" panel of markers to refine diagnosis in borderline cases (CD43, CD79b, CD81, CD200, CD10, and ROR1) has been defined and will be prospectively evaluated.
© 2017 International Clinical Cytometry Society. © 2017 The Authors. Cytometry Part B: Clinical Cytometry published by Wiley Periodicals, Inc. on behalf of International Clinical Cytometry Society.

Entities:  

Keywords:  chronic lymphocytic leukemia; diagnosis; flow cytometry

Mesh:

Substances:

Year:  2018        PMID: 29024461      PMCID: PMC5817234          DOI: 10.1002/cyto.b.21595

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


BACKGROUND

The WHO, IWCLL, and NCCN diagnostic criteria for CLL is based on the morphology and immunophenotype of the neoplastic B‐cells with co‐expression of CD19, CD5, CD23, with weak CD20 and monoclonal surface immunoglobulin (sIg) expression 1, 2, 3. Although there are several recurrent molecular abnormalities present in CLL, none is specific for CLL 4 and therefore immunophenotyping still plays a central role in the diagnosis of CLL. The current diagnostic criteria have some limitations affecting reproducibility, in particular relating to flexibility in the requirement for each marker to be present or absent as well as in the required expression level of each marker. The WHO definition states that CLL/SLL cells “usually co‐express CD5 and CD23” and that “using flow cytometry, the tumor cells express dim surface IgM/IgD, CD20, CD22, CD5, CD19, CD79a, CD23, CD43, and CD11c (weak). CD10 is negative and FMC7 and CD79b are usually negative or weakly expressed in typical CLL. It is also considered that “some cases may have an atypical immunophenotype (e.g. CD5‐ or CD23‐, FMC7+ or CD11c+, strong sIg, or CD79b+)” 1. In turn, the current IWCLL guidelines also permit variation in markers expression levels: “CLL cells co‐express the T‐cell antigen CD5 and B‐cell surface antigens CD19, CD20, and CD23. The levels of sIg, CD20, and CD79b are characteristically low compared with those found on normal B cells. Each clone of leukemia cells is restricted to expression of either kappa or lambda immunoglobulin light chains. Variations of the intensity of expression of these markers may exist and do not prevent inclusion of a patient in clinical trials for CLL” 2. Although some degree of flexibility is required to ensure that CLL diagnostic criteria are widely applicable, this can pose problems to the reproducibility of diagnostic criteria, particular if a scoring system that may permit absence of either CD5 or CD23 is employed 5, 6. In addition, several markers such as CD200 7, 8 and ROR1 (9–12) may contribute to the diagnosis of CLL and related disorders. However, there is no consensus yet on how such markers should be incorporated into diagnostic algorithms. Moreover, although the addition of new markers to established diagnostic panels may improve diagnostic precision, this would require a systematic and well‐designed approach. The primary aim of this project was to achieve consensus on the minimum set of markers required for the diagnosis of CLL and develop a reproducible approach to validate and apply these markers in different laboratories. A secondary aim was to identify additional markers deserving prospective evaluation.

METHODS

Identification of Consensus on Required and Recommended Marker Panels

ERIC/ESCCA members were invited to participate in a survey to classify 35 potential flow cytometry markers as being “required,” “recommended,” “suggested,” “uninformative,” or “not sure” for the diagnosis of CLL. The full survey is shown in Supporting Information. Results from respondents indicating that they did not work in a diagnostic laboratory or hospital clinic setting, or who indicated that their institution did not perform flow cytometry in the diagnosis or monitoring of CLL were excluded from analysis. The 35 markers were selected based on the inclusion in the diagnostic panels reported in the WHO classification 1, IWCLL guidelines 2, Euroflow B‐cell panel 8, or if a pubmed search for “differential diagnosis chronic lymphocytic leukemia CD” identified a reagent in publications by two or more different groups (Fig. 1). Consensus for a marker to be required for CLL diagnosis needed >75% of participants indicating that the marker was required, while a marker was put forward to review if ≥ 50% of participants considered the marker to be “recommended” or “required.” Positive and negative control populations in normal peripheral blood and the relative signals required for acceptable markers were derived from the previous ERIC project for optimizing CLL MRD 13 or defined through literature search and review by participants.
Figure 1

The percentage of participants ranking each marker as required or recommended for evaluation in the diagnosis of CLL. [Color figure can be viewed at wileyonlinelibrary.com]

The percentage of participants ranking each marker as required or recommended for evaluation in the diagnosis of CLL. [Color figure can be viewed at wileyonlinelibrary.com] The definition of “weak” expression requires a threshold that is reproducibly lower than normal expression i.e. lower than acceptable variation due to assay imprecision or due to changes associated with sample stability. The ICCS/ICSH guidelines for validation of cell‐based fluorescence assays 14 recommend assay imprecision ideally below 10% CV (although this may be higher in some settings) while specimen stability is determined by identifying the latest time point at which repeat testing of ≥5 samples shows up to 20% change from baseline. Therefore, difference in fluorescence intensity of <20% may not be reliably determined, so weak expression was defined as a median fluorescence intensity at least 20% lower than the median expression level by normal peripheral blood B‐cells. As laboratories use different reagents, instrumentation and procedures, each laboratory was requested to determine their own reference range to be used for definition of weak expression. Consensus for the proposed diagnostic panel specification was reached by approval of all participating authors followed by presentation of the proposal at ERIC and ESCCA meetings and open consultation on the final document distributed to all ERIC and ESCCA members three months prior to submission.

Retrospective Evaluation

Survey participants were requested to retrospectively assess the proposed criteria based on the required markers (Table 1) by providing the number of: total B‐LPD cases evaluated; CD5+ B‐LPD cases; cases meeting the proposed criteria and diagnosed as CLL; cases not meeting the proposed criteria and diagnosed with another B‐LPD e.g. mantle cell lymphoma; cases not meeting the proposed criteria and diagnosed with CLL; cases not meeting the proposed criteria with insufficient material to make a final diagnosis or reported to be unclassifiable based on available data.
Table 1

Required and Recommended Markers for Use in the Diagnosis of CLL with Reagent Specification Based on Expression Patterns in Normal Peripheral Blood.

Control population in normal peripheral bloodMinimum relative fluorescence intensity of positive and negative control
Inclusion in diagnostic panelAntigenExpression in CLL (% pos vs. control)PositiveNegativepopulations (preferred)
RequiredCD19Positive (>95%)CD20+ B‐cellsCD3+ T‐cells≥10a
CD5Positive (>20%)CD3+ T‐cellsCD19+ B‐cells≥30 (≥65)
CD23Positive (>20%)CD23+ B‐cellsT‐cells≥5a
CD20WeakCD19+ B‐cellsCD3+ T‐cells≥10 (≥20)
Igκ IgλWeak & restrictedCD20+ B‐cellsCD3+ T‐cells≥5a
RecommendedCD43Positive (>20%)CD3+ T‐cellsCD20+ B‐cells≥15 (≥40)
CD79bWeakCD20+ B‐cellsCD3+ T‐cells≥15 (≥30)
CD81WeakCD3+ T‐cellsGranulocytes≥12 (≥20)
CD200Positive (>20%)CD19+ B‐cellsCD3+ T‐cells≥5a
CD10Negative (<20%)GranulocytesT‐cells≥10a
ROR1Positive (>20%)B‐progenitorsT‐cells≥5a

Required, consensus from >75% of participants. Recommended, consensus from >50% of participants with the following exceptions determined by the steering committee and confirmed by further consensus: exclusion of FMC7 (epitope of CD20) 15, CD38 & CD45 (used for prognostic information and gating orientation but not specifically required for diagnosis), and inclusion of ROR1 which is closely associated with CLL 9, 10 but diagnostic antibodies were not widely available at the time of the survey.

Definition of weak: median fluorescence intensity at least 20% [identified as the minimum measurable difference based on ICSH/ISLH guideline recommendations for acceptable variation due to assay imprecision and specimen stability 14] lower than the median expression level by normal peripheral blood B‐cells. Each laboratory was requested to determine their own reference range.

Specifically validated otherwise consensus, defined as approval of all contributing authors with no disagreement on open consultation by ERIC/ESCCA members. Values refer to the relative signal on positive versus negative control populations required to achieve optimal separation of CLL cells from normal B‐cells 13.

Required and Recommended Markers for Use in the Diagnosis of CLL with Reagent Specification Based on Expression Patterns in Normal Peripheral Blood. Required, consensus from >75% of participants. Recommended, consensus from >50% of participants with the following exceptions determined by the steering committee and confirmed by further consensus: exclusion of FMC7 (epitope of CD20) 15, CD38 & CD45 (used for prognostic information and gating orientation but not specifically required for diagnosis), and inclusion of ROR1 which is closely associated with CLL 9, 10 but diagnostic antibodies were not widely available at the time of the survey. Definition of weak: median fluorescence intensity at least 20% [identified as the minimum measurable difference based on ICSH/ISLH guideline recommendations for acceptable variation due to assay imprecision and specimen stability 14] lower than the median expression level by normal peripheral blood B‐cells. Each laboratory was requested to determine their own reference range. Specifically validated otherwise consensus, defined as approval of all contributing authors with no disagreement on open consultation by ERIC/ESCCA members. Values refer to the relative signal on positive versus negative control populations required to achieve optimal separation of CLL cells from normal B‐cells 13.

Assessing Reagent/Instrument Quality

A gating strategy to identify the expression levels of component markers on normal peripheral blood lymphocytes was developed (Fig. 2). Participants providing retrospective evaluation were requested to assess the gating strategy on 10 cases in which the B‐cells were polyclonal. The median fluorescence intensity for the relevant markers on defined positive and negative control populations were recorded by 11 different laboratories and returned for central analysis where the relative fluorescence intensity signal value was calculated. A borderline results was defined as 1–3/10 cases below the minimum acceptable relative signal target value. A suboptimal results was defined as >3/10 cases below the minimum relative signal target value.
Figure 2

Simple gating strategy for defining positive and negative internal control populations to assess the relative signal on markers required for diagnosis according to the consensus criteria. [Color figure can be viewed at wileyonlinelibrary.com]

Simple gating strategy for defining positive and negative internal control populations to assess the relative signal on markers required for diagnosis according to the consensus criteria. [Color figure can be viewed at wileyonlinelibrary.com]

RESULTS AND DISCUSSION

Identifying Consensus on the Markers Required or Recommended for the Diagnosis of CLL

ERIC/ESCCA members were invited to identify markers that are “required” or “recommended” for the diagnosis of CLL from a potential panel of 35 markers. Responses were received from 154 members of which 150/154 were involved in CLL diagnosis (100 were diagnostic laboratory staff, 14 were clinicians and 36 were involved in both the laboratory and clinical diagnostic process). Responses from individuals not involved in CLL diagnosis were excluded from further analysis. The diagnostic workload was >20 cases per week in 23/150 (15.3%), 5–20 in 82/150 (54.7%), and <5 cases per week in 45/150 (30%). The survey participant consensus was that the minimum diagnostic panel should include: CD19, CD5, CD20, CD23, Kappa, and Lambda (i.e. “required”). Survey participants recommended that the following markers may also be of value CD22, CD38, CD45, FMC7, CD79b, CD10, CD43, and CD200. The complete list of markers and participant responses are shown in Figure 1. The minimum required diagnostic panel was put forward for identification of component marker specification that could be used to assess reagent and laboratory quality (see below). The recommended marker panel was reviewed by the steering committee (AR, PH, MH, PG, and EM) and it was proposed that the application of CD22, CD38, CD45, and FMC7 is left to the individual laboratory preference (i.e. “not recommended”) because of a variety of reasons. In detail: FMC7 is an epitope of CD20 (15), the inclusion of both markers being redundant 8; similarly the level of CD22 expression is closely correlated with CD20 (13); CD45 is used for identification of leukocyte subsets and provides a backbone to many gating strategies but is not essential to identify CLL cells 8; CD38 is heterogeneously expressed in CLL 16, 17, 18 difficult to standardize 19 and it is also difficult to identify control populations with stable expression levels; therefore it was proposed that the application of CD38 in diagnosis and prognosis is determined by individual laboratories. The markers sIgM, CD81, CD103, CD49d, CD11c, IgD, IgG, and CD25 were recommended by 20–40% of participants and therefore their application is best determined by individual laboratories with the exception of CD81 which has been extensively validated in detection of MRD 13, 20, 21, therefore understanding the expression profile prior to treatment may be informative for differential diagnosis. ROR1 was not on the initial survey because at the time of preparation there was limited access to commercial reagents. ROR1 was initially identified by gene expression profiling studies as a CLL‐specific marker and the role of protein expression in diagnosis and prognosis has been analyzed in several different studies 9, 10, 11, 12 and may be particularly informative in the discrimination between CLL and CD5+ post‐germinal center B‐cell disorders 22. Based on all these considerations, the markers recommended for additional analysis were: CD43, CD79b, CD81, CD200, CD10, & ROR1. For each marker in the required and recommended panels, a positive and negative control population that could be readily recognized in normal peripheral blood was identified, with the exception of ROR1 for which B‐progenitors in the bone marrow are the only normal positive control. A minimum and recommended relative signal was also determined either by consensus or by using data from the CLL MRD project which identified the relative signal on positive versus negative control populations required to achieve optimal separation of CLL cells from normal B‐cells 13. The required and recommended markers with relevant positive and control populations and expected relative signals are shown in Table 1. This information was distributed to all ERIC and ESCCA members for consultation in order to confirm consensus.

Retrospective Application of the Minimum Required Panel Using the Proposed Specification

Survey participants involved in the diagnosis of CLL were requested to retrospectively assess the proposed criteria shown in Table 1, and 13/150 responded with the results shown in Table 2. The required criteria were assessed retrospectively in 14,643 cases referred for diagnosis of a potential B‐LPD, of which 11,721 were diagnosed with a CD5+ B‐LPD. Central laboratories for clinical trials identified cases which had been submitted for a CLL trial i.e. considered to have a diagnosis of CLL by another center, as “trial” cases (2,427/11,721) while all other cases were classified as “primary referral” (9,294/11,721).
Table 2

Retrospective Assessment of the Proposed Criteria for Diagnosis of CLL

Not meeting the proposed criteria
Requires MDT or trial‐total CD5+ B‐ specific decision
Total CD5+ B‐LPD diagnosesMeeting the proposed criteria and diagnosed with CLLOther diagnosis, e.g. Mantle cell lymphomaNot CLL or not specifiedDiagnosed with CLL
Primary referral9,2947,379 (79.4%)1,025 (11%)639 (6.9%)251 (2.7%)
Trial2,4272,267 (93.4%)54 (2.2%)93 (3.8%)13 (0.5%)
Retrospective Assessment of the Proposed Criteria for Diagnosis of CLL The high proportion (7,379/9,294, 79%) of primary referral cases met the proposed criteria and obtained a diagnosis of CLL. A clear alternative diagnosis (e.g. mantle cell lymphoma) was made in 54% (1,025/1,915) of primary referral cases that did not meet the proposed criteria. For primary referrals not meeting the criteria and not having a clear alternative diagnosis, a final diagnosis of CLL was made using the diagnostic unit's current practice in 2.7% of total CD5+ LPD cases (n = 251, 28% of cases not meeting the proposed criteria); there was insufficient material or data on the final diagnosis was not available in 6.9% of total CD5+ LPD cases (n = 639, 72% of the 890 cases not meeting the proposed criteria) of cases. For primary referral cases, there was concordance in 97.2% (9,043/9,294, comprising 7,379 diagnosed with CLL, 1,025 diagnosed with another non‐CLL B‐LPD and 639 non‐diagnostic with both approaches) using the reproducible criteria compared to each laboratory's current practice. The vast majority (2,267/2,427, 93.4%) of trial referrals i.e. cases previously considered to have a diagnosis of CLL at another center, were confirmed to meet the proposed criteria by the referral center (classed as true positive). There were 160 cases that did not meet the proposed CLL criteria, of which 54/160 had a clear alternative diagnosis and 93/160 were considered ineligible for the trial due to lack of sufficient diagnostic material or non‐specific diagnosis (true negative n = 147/2,427, 6.1%). 13/160 were finally classified as CLL (false negative) and included in the relevant trial (false negative n = 13/2,427, 0.5%). Based on cases referred for entry into a clinical trial and using each center's current practice, the proposed criteria would have a negative predictive value of 92% with a positive predictive value, specificity and sensitivity for the diagnosis of CLL of >99%.

Evaluation of a Pilot Study to Assess Reagent and Instrument Quality

The 13 participants providing retrospective data were invited to assess the proposed specifications for the six markers identified as “required” for diagnosis of which 11/13 responded. Using a simple gating strategy (Fig. 2), participating centers evaluated 10 cases with polyclonal B‐cells. The details and performance characteristics for the individual markers used in the 11 different centers are shown in Table 3. Each center used a different combination of reagents but the performance characteristics were optimal in 525/600 (88%) for individual reagents. Only 1/11 centers obtained optimal results (i.e. the relative signal was above the minimum relative fluorescence intensity of positive and negative control populations) for all six markers in all 10 cases. A further 3/11 centers had some borderline signals (defined as 1–3 cases with results below the relative signal target value), in most cases likely to reflect the samples rather than instrument/reagent quality (e.g. two cases with weak CD23 expression on the polyclonal B‐cells at center 4). Sub‐optimal signals (defined as >3 cases with results below the relative signal target value) were identified with respect to an individual marker in 7/11 centers. In one case, this reflected a limitation of the proposed gating strategy for centers using a multiplex approach (CD20 at center 3). Several centers had sub‐optimal results for the CD5 reagent, which may indicate that this marker requires a more stringent specification. The other sub‐optimal results may be due to one or more of several factors (e.g. clone, fluorochrome, manufacturer, equipment, and operating procedure) and do not necessarily relate to the reagent used. Optimizing and standardizing each component of the process can be labor‐intensive and should be specifically addressed in order to improve the overall quality of CLL diagnosis, even when using the most “basic” markers. The relatively simple global approach developed by ERIC/ESCCA to assess the CLL diagnostic panel is applicable to a variety of reagent and instrument suppliers and can easily identify potential problems or confirm acceptable performance in individual laboratories. In addition, it can be utilized in the future as the basis for a more homogeneous and standardized diagnostic approach in CLL, allowing cross‐center comparison and reproducibility both in clinical trials as well as daily diagnostic procedures.
Table 3

Assessment of the Reagents and Instrument Set‐up in Different Centers by Evaluating the Relative Signal of Required Diagnostic Markers on Control Samples

AntigenCD19CD20CD5KappaLambdaCD23
Relative signal target value≥10≥10≥30≥5≥5≥5
Center 1225 (123–479) HD37 RPE‐Cy5127 (51.9–183) L27 FITC56.3b (16.2–5,892) DK23 APC24.4 (12.6–87.6) Polyclonal FITC100 (44.8–302) Polyclonal PE11 (7.4–17.9) MHM6 FITC
Center 25,462 (4,291‐6,393) LT19 APC64.8 (36.6–103) 2H7 APE‐eF78041.1a (17.7–57.2) L17F12 V45017.1a (4.9–37.6) G20–193 APC‐H72.9b (2.1–4.9) 1–155‐2 APC4b (3.1–6.8) Tu1 FITC
Center 312,126 (85.1–14,264) J3–119 PE‐Cy75.4b (2.5–7.1) L27 V45044.2a (2.8–102) L17F12 PerCP‐Cy5.520.2 (7.1–55.5) Polyclonal PE35.8 (8.4–116) Polyclonal FITC43.2a (0.8‐1,670) MHM6 FITC
Center 417.9a (5.6–23.5) SJ25C1 PerCP‐Cy5.5175 (102–306) L27 FITC237 (52.8–368) L17F12 PE35.6 (12.6–60) TB28‐2 FITC430 (148–612) 1–155‐2 PE49a (2.5–223) EBVCS‐5 PE
Center 516.5 (11.2–18.8) SJ25C1 PerCP‐Cy5.524.6 (16.7–30.2) L27 APC‐H742.9a (15.1–56.7) L17F12 PE‐Cy722.6 (10.3–65.1) G20–193 BV42117.5 (10.3–24.2) JDC‐12 FITC18.7 (8.6–31.7) M‐L233 BV421
Center 656.8 (32.8–81.9) J3–119 PE‐Cy72,812 (398‐5,030) 2H7 PacBlue37.2a (24.4–105) L17F12 PerCP‐Cy5.519.7 (11.4–65.6) Polyclonal FITC74.4 (13.6–317) Polyclonal PE15.4 (9.7–39.3) MHM6 FITC
Center 7106 (89.9–175) SJ25C1 APC53.6 (41.2–67.4) L27 PerCP26.2b (17.9–39) L17F12 FITC22.1 (6.9–45.1) TB28‐2 FITC149 (72.2–287) 1–155‐2 PE16.9 (8.6–35) EBVCS‐5 PE
Center 8217 (130–234) J3–119 PE‐Cy782 (58.8–145) 2H7 Pacific Blue88.6 (51–123) BL1a APC25.3 (10.7–80.1) Polyclonal PE19.6 (7.4–74.8) Polyclonal FITC10.3 (5.8–14.1) 9P25 FITC
Center 916.3a (5.5–130) J3–119 PE‐Cy729.9 (18.3–58.7) B‐Ly1 FITC5.4b (2.4–45.6) BL1a PE12.3a (4.7–29.7) Polyclonal FITC46.6 (6.5–75.5) Polyclonal PE19.1 (9.8–48.4) 9P25 FITC
Center1031.6 (22.6–41.7) J3–119 ECD (Coulter)82.1 (38.4–119) B9E9 Pacific Blue16.6b (3–31.5) BL1a APC‐AF7506.1a (1.7–11.2) Polyclonal FITC18 (12.3–37) Polyclonal PE9.1 (7.1–13.6) 9P25 APC‐AF700
Center 11142 (20.2–10,558) SJ25C1 APC99.5 (46.9–240) L27 FITC24.1b (9.7–45.8) L17F12 PerCP‐Cy5.587.1 (33.3‐3,398) TB28‐2 FITC160 (55.4‐2,821) 1–155‐2 PE70.6 (31.3–290) EBVCS‐5 PE

The signal for each marker on the internal positive and negative controls was determined using a simple gating strategy applied to ten control cases (see Fig. 2). The table shows the median relative signal (range) for the cases above the clone and fluorochrome (supplier).

Indicates that the results were sub‐optimal in 1–3 of the 10 cases, typically reflecting issues with individual samples rather than instrument/reagent quality.

Indicates that the results did not meet the specified criteria in >3/10 cases due to one or more of several factors such as clone, fluorochrome, manufacturer, equipment, or operating procedures as well as factors related to the evaluation procedure such as a limitation in the proposed gating strategy with multiplex approaches (e.g. CD20 at center 3).

Assessment of the Reagents and Instrument Set‐up in Different Centers by Evaluating the Relative Signal of Required Diagnostic Markers on Control Samples The signal for each marker on the internal positive and negative controls was determined using a simple gating strategy applied to ten control cases (see Fig. 2). The table shows the median relative signal (range) for the cases above the clone and fluorochrome (supplier). Indicates that the results were sub‐optimal in 1–3 of the 10 cases, typically reflecting issues with individual samples rather than instrument/reagent quality. Indicates that the results did not meet the specified criteria in >3/10 cases due to one or more of several factors such as clone, fluorochrome, manufacturer, equipment, or operating procedures as well as factors related to the evaluation procedure such as a limitation in the proposed gating strategy with multiplex approaches (e.g. CD20 at center 3).

SUMMARY

CLL is one of the most common diagnoses made by hematology–oncology laboratories. Flow cytometry plays a central role in diagnosis but differential diagnosis remains an issue in a small proportion of cases. Due to the lack of a pathognomonic molecular abnormality in CLL there is no a gold‐standard for its diagnosis. Also, characteristic immunophenotypic features, such as weak expression of sIg and CD20, are difficult to define in a reproducible fashion, thus making it difficult to ensure consistent diagnosis across laboratories. This study demonstrates clear consensus on the minimum set of markers required for the diagnosis of CLL: CD19, CD5, CD20, CD23, Kappa, and Lambda. The identification of positive and negative control populations in normal peripheral blood, as well as uniform performance criteria facilitate the evaluation of the diagnostic quality and a reproducible diagnosis. The approach piloted in this study provides a comprehensive evaluation of the components of the diagnostic flow cytometry process including technical equipment and specific combinations and concentrations of reagents allowing a reproducibility and comparability among different laboratories. The results demonstrate that this goal has still to be consistently achieved, particularly with respect to the CD5 reagents. A further component of this project was to identify a panel of reagents that may improve differential diagnosis. The identification of markers that could contribute to differential diagnosis is confounded not only by the lack of a diagnostic gold‐standard, but also because new markers are often assessed along with others that may also contribute to the differential diagnosis. In this regards, it is recommended that in addition to the minimum panel, reference centers and those involved in research assess CD43, CD79b, CD81 (required also for subsequent disease monitoring and MRD assessment), as well as CD200, CD10, & ROR1 (useful for differential diagnosis of CLL vs. mantle cell lymphoma, and germinal‐center B‐LPD vs. post‐germinal center B‐LPD, respectively) 8, 22, 23. This should provide a stable platform for evaluating the contribution of cellular markers to the diagnosis and prognosis in CLL. Additional Supporting Information may be found online in the supporting information tab for this article. Supporting Information Click here for additional data file.
  21 in total

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3.  ROR1 is expressed on hematogones (non-neoplastic human B-lymphocyte precursors) and a minority of precursor-B acute lymphoblastic leukemia.

Authors:  H Elizabeth Broome; Laura Z Rassenti; Huan-You Wang; Lilly M Meyer; Thomas J Kipps
Journal:  Leuk Res       Date:  2011-08-02       Impact factor: 3.156

4.  Improving efficiency and sensitivity: European Research Initiative in CLL (ERIC) update on the international harmonised approach for flow cytometric residual disease monitoring in CLL.

Authors:  A C Rawstron; S Böttcher; R Letestu; N Villamor; C Fazi; H Kartsios; R M de Tute; J Shingles; M Ritgen; C Moreno; K Lin; A R Pettitt; M Kneba; E Montserrat; F Cymbalista; M Hallek; P Hillmen; P Ghia
Journal:  Leukemia       Date:  2012-07-31       Impact factor: 11.528

5.  Differential expression of CD200 in B-cell neoplasms by flow cytometry can assist in diagnosis, subclassification, and bone marrow staging.

Authors:  Pramoda Challagundla; L Jeffrey Medeiros; Rashmi Kanagal-Shamanna; Roberto N Miranda; Jeffrey L Jorgensen
Journal:  Am J Clin Pathol       Date:  2014-12       Impact factor: 2.493

6.  Defining the prognosis of early stage chronic lymphocytic leukaemia patients.

Authors:  Chris Pepper; Aneela Majid; Thet Thet Lin; Saman Hewamana; Guy Pratt; Renata Walewska; Stefan Gesk; Reiner Siebert; Simon Wagner; Ben Kennedy; Fiona Miall; Zadie A Davis; Ian Tracy; Anne C Gardiner; Paul Brennan; Robert K Hills; Martin J S Dyer; David Oscier; Chris Fegan
Journal:  Br J Haematol       Date:  2011-12-15       Impact factor: 6.998

7.  Ror1, a cell surface receptor tyrosine kinase is expressed in chronic lymphocytic leukemia and may serve as a putative target for therapy.

Authors:  Amir H Daneshmanesh; Eva Mikaelsson; Mahmood Jeddi-Tehrani; Ali Ahmad Bayat; Roya Ghods; Mahyar Ostadkarampour; Mehdi Akhondi; Svetlana Lagercrantz; Catharina Larsson; Anders Osterborg; Fazel Shokri; Håkan Mellstedt; Hodjattallah Rabbani
Journal:  Int J Cancer       Date:  2008-09-01       Impact factor: 7.396

8.  Unique cell surface expression of receptor tyrosine kinase ROR1 in human B-cell chronic lymphocytic leukemia.

Authors:  Sivasubramanian Baskar; Ka Yin Kwong; Thomas Hofer; Jessica M Levy; Michael G Kennedy; Elinor Lee; Louis M Staudt; Wyndham H Wilson; Adrian Wiestner; Christoph Rader
Journal:  Clin Cancer Res       Date:  2008-01-15       Impact factor: 12.531

9.  A complementary role of multiparameter flow cytometry and high-throughput sequencing for minimal residual disease detection in chronic lymphocytic leukemia: an European Research Initiative on CLL study.

Authors:  A C Rawstron; C Fazi; A Agathangelidis; N Villamor; R Letestu; J Nomdedeu; C Palacio; O Stehlikova; K-A Kreuzer; S Liptrot; D O'Brien; R M de Tute; I Marinov; M Hauwel; M Spacek; J Dobber; A P Kater; P Gambell; A Soosapilla; G Lozanski; G Brachtl; K Lin; J Boysen; C Hanson; J L Jorgensen; M Stetler-Stevenson; C Yuan; H E Broome; L Rassenti; F Craig; J Delgado; C Moreno; F Bosch; A Egle; M Doubek; S Pospisilova; S Mulligan; D Westerman; C M Sanders; R Emerson; H S Robins; I Kirsch; T Shanafelt; A Pettitt; T J Kipps; W G Wierda; F Cymbalista; M Hallek; P Hillmen; E Montserrat; P Ghia
Journal:  Leukemia       Date:  2015-12-07       Impact factor: 11.528

10.  Reproducible diagnosis of chronic lymphocytic leukemia by flow cytometry: An European Research Initiative on CLL (ERIC) & European Society for Clinical Cell Analysis (ESCCA) Harmonisation project.

Authors:  Andy C Rawstron; Karl-Anton Kreuzer; Asha Soosapilla; Martin Spacek; Olga Stehlikova; Peter Gambell; Neil McIver-Brown; Neus Villamor; Katherina Psarra; Maria Arroz; Raffaella Milani; Javier de la Serna; M Teresa Cedena; Ozren Jaksic; Josep Nomdedeu; Carol Moreno; Gian Matteo Rigolin; Antonio Cuneo; Preben Johansen; Hans E Johnsen; Richard Rosenquist; Carsten Utoft Niemann; Wolfgang Kern; David Westerman; Marek Trneny; Stephen Mulligan; Michael Doubek; Sarka Pospisilova; Peter Hillmen; David Oscier; Michael Hallek; Paolo Ghia; Emili Montserrat
Journal:  Cytometry B Clin Cytom       Date:  2018-01-17       Impact factor: 3.058

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  21 in total

1.  CytoML for cross-platform cytometry data sharing.

Authors:  Greg Finak; Wenxin Jiang; Raphael Gottardo
Journal:  Cytometry A       Date:  2018-12       Impact factor: 4.355

2.  Relapsed disease and aspects of undetectable MRD and treatment discontinuation.

Authors:  Barbara Eichhorst; Moritz Fürstenau; Michael Hallek
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

Review 3.  Novel Therapies in Chronic Lymphocytic Leukemia: A Rapidly Changing Landscape.

Authors:  Lorenzo Iovino; Mazyar Shadman
Journal:  Curr Treat Options Oncol       Date:  2020-03-13

4.  Zanubrutinib (BGB-3111) plus obinutuzumab in patients with chronic lymphocytic leukemia and follicular lymphoma.

Authors:  Constantine S Tam; Hang Quach; Andrew Nicol; Xavier Badoux; Hannah Rose; H Miles Prince; Michael F Leahy; Richard Eek; Nicholas Wickham; Sushrut S Patil; Jane Huang; Radha Prathikanti; Aileen Cohen; Rebecca Elstrom; William Reed; Jingjing Schneider; Ian W Flinn
Journal:  Blood Adv       Date:  2020-10-13

5.  14-Color single tube for flow cytometric characterization of CD5+ B-LPDs and high sensitivity automated minimal residual disease quantitation of CLL/SLL.

Authors:  Jennifer M Goshaw; Qi Gao; Jessica Wardrope; Ahmet Dogan; Mikhail Roshal
Journal:  Cytometry B Clin Cytom       Date:  2020-09-08       Impact factor: 3.248

6.  High prognostic value of measurable residual disease detection by flow cytometry in chronic lymphocytic leukemia patients treated with front-line fludarabine, cyclophosphamide, and rituximab, followed by three years of rituximab maintenance.

Authors:  José A García-Marco; Javier López Jiménez; Valle Recasens; Miguel Fernández Zarzoso; Eva González-Barca; Nieves Somolinos De Marcos; M Jose Ramírez; Francisco Javier Peñalver Parraga; Lucrecia Yañez; Javier De La Serna Torroba; Maria Dolores Garcia Malo; Guillermo Deben Ariznavarreta; Ernesto Perez Persona; M Angeles Ruiz Guinaldo; Raquel De Paz Arias; Elena Bañas Llanos; Isidro Jarque; M Del Carmen Fernandez Valle; Ana Carral Tatay; Jaime Perez De Oteyza; Eva Maria Donato Martin; Inmaculada Perez Fernández; Rafael Martinez Martinez; M Angeles Andreu Costa; Diana Champ; Julio García Suarez; Marcos González Díaz; Secundino Ferrer; Félix Carbonell; José A García-Vela
Journal:  Haematologica       Date:  2019-03-19       Impact factor: 9.941

Review 7.  The Evolving Landscape of Chronic Lymphocytic Leukemia on Diagnosis, Prognosis and Treatment.

Authors:  Claudia Pérez-Carretero; Isabel González-Gascón-Y-Marín; Ana E Rodríguez-Vicente; Miguel Quijada-Álamo; José-Ángel Hernández-Rivas; María Hernández-Sánchez; Jesús María Hernández-Rivas
Journal:  Diagnostics (Basel)       Date:  2021-05-10

8.  A new score including CD43 and CD180: Increased diagnostic value for atypical chronic lymphocytic leukemia.

Authors:  Yi Li; Xiwen Tong; Lifang Huang; Li Li; Chunyan Wang; Cheng He; Songya Liu; Zhiqiong Wang; Min Xiao; Xia Mao; Donghua Zhang
Journal:  Cancer Med       Date:  2021-06-01       Impact factor: 4.452

9.  Reproducible diagnosis of chronic lymphocytic leukemia by flow cytometry: An European Research Initiative on CLL (ERIC) & European Society for Clinical Cell Analysis (ESCCA) Harmonisation project.

Authors:  Andy C Rawstron; Karl-Anton Kreuzer; Asha Soosapilla; Martin Spacek; Olga Stehlikova; Peter Gambell; Neil McIver-Brown; Neus Villamor; Katherina Psarra; Maria Arroz; Raffaella Milani; Javier de la Serna; M Teresa Cedena; Ozren Jaksic; Josep Nomdedeu; Carol Moreno; Gian Matteo Rigolin; Antonio Cuneo; Preben Johansen; Hans E Johnsen; Richard Rosenquist; Carsten Utoft Niemann; Wolfgang Kern; David Westerman; Marek Trneny; Stephen Mulligan; Michael Doubek; Sarka Pospisilova; Peter Hillmen; David Oscier; Michael Hallek; Paolo Ghia; Emili Montserrat
Journal:  Cytometry B Clin Cytom       Date:  2018-01-17       Impact factor: 3.058

10.  Guidelines for Diagnosis and Treatment of Chronic Lymphocytic Leukemia. Krohem B-Cll 2017.

Authors:  Branimir Jakšić; Vlatko Pejša; Slobodanka Ostojić-Kolonić; Ika Kardum-Skelin; Sandra Bašić-Kinda; Božena Coha; Velka Gverić-Krečak; Radovan Vrhovac; Ozren Jakšić; Igor Aurer; Jasminka Sinčić-Petričević; Antica Načinović-Duletić; Damir Nemet
Journal:  Acta Clin Croat       Date:  2018-03       Impact factor: 0.932

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