flow cytometric immunophenotyping of cerebroespinal fluid specimens

13
22 Am J Clin Pathol 2011;135:22-34 22 DOI: 10.1309/AJCPANA7ER1ABMZI © American Society for Clinical Pathology Hematopathology / Flow Cytometric Immunophenotyping of CSF Specimens CME/SAM Flow Cytometric Immunophenotyping of Cerebrospinal Fluid Specimens Fiona E. Craig, MD, 1 N. Paul Ohori, MD, 2 Timothy S. Gorrill, MD, PhD, 3 and Steven H. Swerdlow, MD 1 Key Words: Flow cytometry; Cerebrospinal fluid; Lymphoma; Leukemia DOI: 10.1309/AJCPANA7ER1ABMZI Abstract Flow cytometric immunophenotyping (FCI) is recommended in the evaluation of cerebrospinal fluid (CSF) specimens for hematologic neoplasms. This study reviewed FCI of CSF specimens collected for primary diagnosis (n = 77) and follow-up for known malignancy (n = 153). FCI was positive in 11 (4.8%) of 230 specimens: acute myeloid leukemia, 6; precursor B-acute lymphoblastic leukemia, 2; B-cell lymphoma, 2; and T-cell lymphoma, 1. Positive results were obtained in low-cellularity specimens, including 2 with fewer than 100 events in the population of interest. FCI was indeterminate in 19 (8.3%) of 230 specimens, including 3 with only sparse events, 8 with possible artifact (apparent lack of staining, nonspecific or background staining, and aspirated air), and 8 with phenotypic findings considered insufficient for diagnosis. Indeterminate specimens were often limited by low cellularity and lacked normal cell populations to evaluate for appropriate staining. FCI may be of value in low-cellularity CSF specimens, although the results should be interpreted with caution. Cerebrospinal fluid (CSF) evaluation is often used to assess patients with unexplained neurologic signs or symp- toms and to stage disease in patients with neoplasms that have a predilection for central nervous system involvement. Conventional cytology has limited sensitivity in the evaluation of CSF specimens for hematologic neoplasms, and the pleo- cytosis seen in association with some nonneoplastic disorders may lead to false-positive results. 1-4 Flow cytometric immuno- phenotyping (FCI) of CSF has previously been demonstrated to have high sensitivity and specificity for the detection of lymphoma and leukemia. 5-13 More recent advances in multi- parameter FCI, including the ability to detect more parameters in a single tube, have further enhanced the detection of pheno- typic abnormalities. 14 Therefore, it has been recommended that FCI be performed routinely, in conjunction with cytology, on CSF specimens being evaluated for hematologic neoplasms. 13 In this study, we reviewed the experience of our clinical flow cytometry laboratory in evaluating CSF specimens. We con- firmed that FCI can be a useful diagnostic tool for the detection of hematologic malignancy in CSF specimens, even when the cellularity is low. In addition, we demonstrate some of the dif- ficulties that may be encountered and recommend strategies to avoid potential misinterpretation. Materials and Methods This study was performed as a flow cytometry laboratory quality improvement project with approval by the University of Pittsburgh Medical Center (UPMC; Pittsburgh, PA) Total Quality Council (QIIRB No. 0000144). CSF specimens received in the UPMC clinical flow cytometry laboratory during an 8.5-month period ending December 31, 2008, were reviewed. Upon completion of this activity you will be able to: • discuss the clinical utility of flow cytometric immunophenotyping (FCI) of cerebrospinal fluid (CSF) specimens. • formulate an optimal procedure for FCI of CSF specimens. • list some of the problems that can be encountered in FCI of CSF specimens and describe strategies that can be employed to prevent misinterpretation. The ASCP is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The ASCP designates this educational activity for a maximum of 1 AMA PRA Category 1 Credit ™ per article. This activity qualifies as an American Board of Pathology Maintenance of Certification Part II Self-Assessment Module. The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose. Questions appear on p 163. Exam is located at www.ascp.org/ajcpcme.

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Page 1: Flow Cytometric Immunophenotyping of Cerebroespinal Fluid Specimens

22 Am J Clin Pathol 2011;135:22-3422 DOI: 10.1309/AJCPANA7ER1ABMZI

© American Society for Clinical Pathology

Hematopathology / Flow Cytometric Immunophenotyping of CSF Specimens

CM

E/S

AM

Flow Cytometric Immunophenotyping of Cerebrospinal Fluid Specimens

Fiona E. Craig, MD,1 N. Paul Ohori, MD,2 Timothy S. Gorrill, MD, PhD,3 and Steven H. Swerdlow, MD1

Key Words: Flow cytometry; Cerebrospinal fluid; Lymphoma; Leukemia

DOI: 10.1309/AJCPANA7ER1ABMZI

A b s t r a c t

Flow cytometric immunophenotyping (FCI) is recommended in the evaluation of cerebrospinal fluid (CSF) specimens for hematologic neoplasms. This study reviewed FCI of CSF specimens collected for primary diagnosis (n = 77) and follow-up for known malignancy (n = 153). FCI was positive in 11 (4.8%) of 230 specimens: acute myeloid leukemia, 6; precursor B-acute lymphoblastic leukemia, 2; B-cell lymphoma, 2; and T-cell lymphoma, 1. Positive results were obtained in low-cellularity specimens, including 2 with fewer than 100 events in the population of interest. FCI was indeterminate in 19 (8.3%) of 230 specimens, including 3 with only sparse events, 8 with possible artifact (apparent lack of staining, nonspecific or background staining, and aspirated air), and 8 with phenotypic findings considered insufficient for diagnosis. Indeterminate specimens were often limited by low cellularity and lacked normal cell populations to evaluate for appropriate staining. FCI may be of value in low-cellularity CSF specimens, although the results should be interpreted with caution.

Cerebrospinal fluid (CSF) evaluation is often used to assess patients with unexplained neurologic signs or symp-toms and to stage disease in patients with neoplasms that have a predilection for central nervous system involvement. Conventional cytology has limited sensitivity in the evaluation of CSF specimens for hematologic neoplasms, and the pleo-cytosis seen in association with some nonneoplastic disorders may lead to false-positive results.1-4 Flow cytometric immuno-phenotyping (FCI) of CSF has previously been demonstrated to have high sensitivity and specificity for the detection of lymphoma and leukemia.5-13 More recent advances in multi-parameter FCI, including the ability to detect more parameters in a single tube, have further enhanced the detection of pheno-typic abnormalities.14 Therefore, it has been recommended that FCI be performed routinely, in conjunction with cytology, on CSF specimens being evaluated for hematologic neoplasms.13 In this study, we reviewed the experience of our clinical flow cytometry laboratory in evaluating CSF specimens. We con-firmed that FCI can be a useful diagnostic tool for the detection of hematologic malignancy in CSF specimens, even when the cellularity is low. In addition, we demonstrate some of the dif-ficulties that may be encountered and recommend strategies to avoid potential misinterpretation.

Materials and Methods

This study was performed as a flow cytometry laboratory quality improvement project with approval by the University of Pittsburgh Medical Center (UPMC; Pittsburgh, PA) Total Quality Council (QIIRB No. 0000144). CSF specimens received in the UPMC clinical flow cytometry laboratory during an 8.5-month period ending December 31, 2008, were reviewed.

Upon completion of this activity you will be able to:• discuss the clinical utility of flow cytometric immunophenotyping (FCI)

of cerebrospinal fluid (CSF) specimens. • formulate an optimal procedure for FCI of CSF specimens.• list some of the problems that can be encountered in FCI of CSF

specimens and describe strategies that can be employed to prevent misinterpretation.

The ASCP is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The ASCP designates this educational activity for a maximum of 1 AMA PRA Category 1 Credit ™ per article. This activity qualifies as an American Board of Pathology Maintenance of Certification Part II Self-Assessment Module.

The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose.

Questions appear on p 163. Exam is located at www.ascp.org/ajcpcme.

Page 2: Flow Cytometric Immunophenotyping of Cerebroespinal Fluid Specimens

Am J Clin Pathol 2011;135:22-34 2323 DOI: 10.1309/AJCPANA7ER1ABMZI 23

© American Society for Clinical Pathology

Hematopathology / Original Article

FCI was performed on all specimens received. All sample tubes were capped through the entire procedure to prevent contamination. Specimens were centrifuged for 5 minutes at 1,200 rpm. The supernatant was aspirated, leav-ing about 200 μL of liquid in the tube. Cells were mixed well by inversion, and a hemocytometer WBC count was performed using a microhematocrit capillary tube to load the chamber. The remainder of the sample was used for FCI with the goal of obtaining at least 10,000 events per tube. Tubes for anti-κ and anti-λ staining were prewashed once with phosphate-buffered saline plus 0.1% sodium azide. Flow cytometry was performed using selected combinations of 4 antibodies conjugated to the following fluorochromes: fluorescein isothiocyanate (FITC), phycoerythrin (PE), peri-dinin chlorophyll protein–cyanin 5.5 (PerCP-Cy5.5), and allophycocyanin (APC) (Becton Dickinson, San Jose, CA). A decision about what combinations of antibodies to run was made by a hematopathologist based on information provided on the requisition, previous studies performed within the UPMC-Health System including previous flow cytometric studies, and review of the medical record, as necessary. In addition to standard 4-color combinations validated by the laboratory, some novel combinations were selected based on a phenotype identified previously in another specimen or clinical suspicion of a particular disease entity. Staining was performed for 15 minutes on ice in the dark.

Specimens were acquired using BD FACS Canto II instruments and analyzed with DIVA software (Becton Dickinson). A blank tube was run and acquired before acqui-sition of any CSF specimen to avoid carryover. A maximum of 30,000 events were acquired per tube. Analysis was per-formed using forward light scatter (FSC) vs orthogonal light scatter (SSC) gating. Dot plots from routine clinical flow cytometric studies were reviewed by one of us (F.E.C.) and used to separate cases into 3 categories: positive, negative, and indeterminate by flow cytometry. Specimens positive by flow cytometry were identified by the presence of a dis-crete population of cells with a phenotype characteristic of a disease entity. Specimens were designated negative by flow cytometry if acquired events could be at least presumptively assigned to a cell lineage and the studies performed did not identify any phenotypic abnormalities. Specimens that did not meet criteria for positive or negative by flow cytometry were considered indeterminate. Further flow cytometric analysis was performed on a subset of cases to evaluate for doublets, using a plot of FSC area vs FSC height15 and aspi-rated air, using aspiration time vs SSC and/or APC.

Results of any cytologic evaluation performed on CSF obtained during the same procedure were reviewed, and an independent cytologic assessment of available cytologic material was performed by one of us (N.P.O.) for speci-mens determined to be positive or indeterminate by flow

cytometry or positive by cytology. Cytologic evaluation was performed using 2 cytocentrifuged slides, 1 air-dried and rapid Romanowsky–stained slide and 1 alcohol-fixed and Papanicolaou-stained slide. The independent cytologic review included assessment of adequacy and selection of 1 of 4 categories, using the following criteria: (1) negative for malignant cells: low-cellularity specimen with normal con-stituents of CSF present, such as cytomorphologically nor-mal lymphocytes and monocytes with a mature chromatin pattern; (2) atypical cells present: lymphoid or monocytoid cells with slight deviation of nuclear features from normal (eg, nuclear size, membrane irregularity, chromatin pattern, nucleoli), increased cellularity without cytologic abnormal-ity, or possible presence of a “foreign” cell population (eg, metastatic carcinoma); (3) suspicious for malignant cells: cytologic features very concerning for a malignant process and most of the diagnostic criteria for a specific malignancy present but lacking 1 or more key criteria required for a definitive diagnosis; (4) positive for malignant cells: fulfills all diagnostic criteria for a malignant cell population.

In addition, the following information was reviewed for all specimens: information provided on the requisition, volume of specimen received in flow cytometry and cytology laboratories, and results of hemocytometer counts performed in the flow cytometry laboratory. Other laboratory data were reviewed for a cohort of cases received during the first 6.5 months of the study, including RBC and WBC hemocytom-eter counts performed in the remote hematology laboratory, CSF WBC differential count, most recent CBC including WBC and differential count, CSF protein level, and CSF glucose level. A detailed review of the medical record was performed for all cases determined to be positive or indeter-minate by flow cytometry.

Results

Clinical Information

During the study period, 230 CSF specimens from 145 patients (1-8 specimens per patient) were received in the UPMC clinical flow cytometry laboratory. Cytologic evalu-ation was available for 218 of the 230 specimens, including independent cytologic review by one of us (N.P.O.) for 25 specimens determined to be positive or indeterminate by flow cytometry or positive by cytology. Specimens were drawn at a variety of locations, including the emergency department, outpatient clinics, and inpatient floors. Review of clinical records revealed that flow cytometric testing was requested liberally, even when clinical suspicion of a hematopoietic or lymphoid malignancy was low. No history of malignancy was reported for 71 (49.0%) of 145 patients (77 of 230 specimens),

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24 Am J Clin Pathol 2011;135:22-3424 DOI: 10.1309/AJCPANA7ER1ABMZI

© American Society for Clinical Pathology

Craig et al / Flow Cytometric Immunophenotyping of CSF Specimens

of whom 35 patients were reported to have neurologic symp-toms or signs, and 36 patients had no clinical indication listed for the CSF evaluation.

A history of malignancy was reported for 74 of 145 patients (51.0%) (153 of 230 specimens): precursor B-acute lymphoblastic leukemia (ALL), 25 (34%); acute myeloid leu-kemia (AML), 18 (24%); precursor T-ALL, 3 (4%); mature lymphoid neoplasms, 20 (27%); myeloma, 6 (8%); and carci-noma, 2 (3%). Mature lymphoid neoplasms included Burkitt lymphoma or high grade B-cell lymphoma with features of Burkitt lymphoma (4 patients), diffuse large B-cell lymphoma (3 patients), B-cell lymphoma not further classified (2 patients), and 1 patient with each of the following diagnoses: anaplastic large cell lymphoma, posttransplant lymphoproliferative disor-der of the diffuse large B-cell lymphoma type, plasmablastic lymphoma, marginal zone lymphoma, follicular lymphoma grade 3A of 3, mantle cell lymphoma, chronic lymphocytic leukemia/small lymphocytic lymphoma, primary central ner-vous system B-cell lymphoma, hairy cell leukemia, Hodgkin lymphoma, and lymphoma not further specified.

Specimen Volume and CellularityThe flow cytometry laboratory received a median of 2.5

mL of CSF (range, 0.1-10 mL; recorded for 217 specimens). Based on the volume of CSF and hemocytometer counts per-formed in the flow cytometry laboratory (available for 228 of 230 specimens), a total of 0 to 4.4 million total cells were received, with a median of 1,100 cells, including 53 specimens (23.2%) with zero cells. After exclusion of specimens in which some acquired events represented aspirated air, the hemocy-tometer count performed in the flow cytometry laboratory correlated with the total number of events acquired on the flow cytometer (r2 = 0.84). However, 49 of 51 specimens with zero cells counted by hemocytometer successfully yielded acquired events on the flow cytometer (23-15,498 acquired events; median, 270 events). There was significant overlap in the number of events acquired for specimens with hemocytometer counts of zero, those ranging from 1 to 999 (range, 27-13,797; median, 216; P = .06), and those ranging from 1,000 to 9,999 (range, 81-10,810; median, 540) ❚Figure 1❚. A hemocytometer count of less than 10,000 was valuable in predicting which specimens would yield fewer than 10,000 acquired events (pos-itive predictive value [PPV], 90%; 170 total specimens). Only 29 of 170 specimens yielded a hemocytometer count of more than 10,000 and included 14 with more than 10,000 acquired events and 15 with fewer than 10,000 acquired events (PPV of hemocytometer count greater than 10,000, 48%). Specimens with a hemocytometer count ranging from 10,000 to 99,999 yielded significantly more acquired events than those with lower counts (range, 486-30,000; median, 1,161; P < .0001). Eleven specimens had 100,000 cells or more and yielded 4,806 to 300,000 acquired events (median, 101,310 events).

Absolute cell counts from the hematology laboratory, as determined by a hemocytometer count performed on a separate portion of the CSF specimen, were available for 120 specimens: WBC count range, 0 to 5,100/μL, including 44 specimens with zero cells counted (median, 1/μL); RBC count range, 0 to 2,970/μL, including 80 specimens (66.7%) with zero cells counted (median, 0/μL). Overall, there was poor correlation between the hematology laboratory abso-lute WBC count and the absolute count determined from the flow cytometry laboratory hemocytometer count and volume (r2 = 0.15). Specimens with an absolute hematology WBC count of zero all successfully yielded acquired flow cytometry events (range, 27-3,753; median, 203). However, a composite calculation of the hematology hemocytometer count multiplied by the volume of specimen received in the flow cytometry laboratory (estimated total cell number) was valuable in predicting which specimens would yield fewer than 10,000 acquired events (PPV, 98.9%; 120 total specimens). Use of an estimated total cell number less than 10,000 could have eliminated the need for an additional flow cytometry laboratory hemocytometer count on 89 (74.2%) of 120 low-cellularity specimens. Specimens with an esti-mated total cell number greater than 10,000 yielded widely varying numbers of acquired cells (31 specimens; range, 81-201,924 acquired events; median, 2,511, including 22 of 31 with <10,000 acquired events and 9 of 31 with >10,000 acquired events).

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❚Figure 1❚ Flow cytometry laboratory hemocytometer count vs number of events acquired on the flow cytometer for lower cellularity specimens. Specimens with events due to acquired air are excluded. The median for each column is shown.

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Am J Clin Pathol 2011;135:22-34 2525 DOI: 10.1309/AJCPANA7ER1ABMZI 25

© American Society for Clinical Pathology

Hematopathology / Original Article

Antibody Combination SelectedOnly 1 flow cytometric tube was set up for 212 speci-

mens (92.2%). More than 1 tube was set up for 18 higher cellularity specimens (flow cytometry laboratory hemo-cytometer count, 20,460-4,400,000; 2-10 flow cytometry tubes run).

Standard antibody combinations that had been previous-ly validated in the laboratory were selected for 263 (92.9%) of 283 tubes ❚Table 1❚. The following standard combinations, listed in the fluorochrome order FITC/PE/PerCP-Cy5.5/APC, were selected most frequently for a given indication: B-ALL, 57 (84%) of 68 tubes, CD10/CD13 plus CD33/CD19/CD34; AML, 29 (60%) of 48 tubes, CD14/CD13 plus CD33/CD45/CD34; mature lymphoid neoplasms, 19 (49%) of 39 tubes, κ/λ/CD19/CD5, and 10 (26%) of 39 tubes, κ/λ/CD20/CD10; myeloma, 6 (86%) of 7 tubes, cytoplasmic λ/CD138/CD19/cytoplasmic κ; and no history of malignancy, 56 (50.9%) of 110 tubes, κ/λ/CD19/CD5. Novel combina-tions that had not been previously validated in the laboratory were selected for 20 (7.1%) of 283 tubes (Table 1).

Results of FCITwo CSF specimens yielded no acquired events. Cellular

events were identified in the remaining 228 specimens and were assigned to 1 of 3 FCI categories: negative, positive, and indeterminate.

Negative FCINo phenotypic abnormalities were identified by FCI in

197 (85.7%) of 230 specimens. Of 178 specimens that were negative by FCI and were also evaluated by cytology, only 1 was positive for malignant cells by cytology, demonstrating metastatic carcinoma in a patient with a history of pulmonary adenocarcinoma. FCI-negative specimens contained between 23 and 1,672,000 acquired events (median, 880). Reviewing specimens that did not contain aspirated air, T cells were eval-uated in 92 specimens and were identified in all specimens (T-cell range, 0.3%-93.6% acquired events; median, 35.2%), and B cells were evaluated in 142 specimens and represented 0% to 14.8% acquired events (median, 1%), including 22 (15.5%) with no detected B cells.

Positive FCIDefinitive phenotypic abnormalities were identified by

FCI in 11 (4.8%) of 230 specimens ❚Table 2❚. FCI-positive samples were characterized by the presence of a discrete popu-lation of phenotypically similar cells, no evidence of interfer-ing artifact, and an abnormal phenotype that could adequately distinguish neoplastic and nonneoplastic cell populations. Populations of phenotypically abnormal cells could be identi-fied with certainty even in low-cellularity specimens: 6 (55%) of 11 FCI-positive specimens had fewer than 10,000 WBCs as determined by a hemocytometer count performed in the

❚Table 1❚Antibody Combinations Selected*

Clinical History

No History of Hematolymphoid B-ALL AML T-ALL Mature Lymphoid Myeloma All SpecimensAntibody Combination Malignancy (n = 77) (n = 67) (n = 35) (n = 11) Neoplasm (n = 33) (n = 7) (n = 230)

κ/λ/CD19/CD5 56 0 1 0 19 0 76κ/λ/CD20/CD10 6 0 0 0 10 0 16FMC-7/CD23/CD19/CD5 4 1 0 0 1 0 6bcl-2/CD10/CD20 2 0 0 0 1 0 3CD10/CD13 plus CD33/CD19/CD34 3 57 2 1 0 0 63CD38/CD22/CD20/CD10 5 1 1 0 0 0 7cyto-λ/CD138/CD19/cyto-κ 1 0 0 0 0 6 7CD3/CD138/CD19/CD56 0 0 0 0 3 1 4CD14/CD13 plus CD33/CD45/CD34 10 2 29 0 1 0 42CD7/CD13 plus CD33/CD19/CD56 1 0 2 0 0 0 3CD36/CD64/CD45/CD34 1 0 3 0 0 0 4CD15/CD33/CD117/HLA-DR 1 0 3 0 0 0 4CD16/CD13/CD45/CD11b 0 0 2 0 0 0 2TdT/MPO/cyto-CD3/CD34 0 2 1 3 0 0 6CD2/CD8/CD3/CD4 11 0 1 0 1 0 13CD16 plus CD57/CD7/CD3/CD56 5 0 0 0 1 0 6CD7/CD26/CD3/CD4 1 0 0 0 0 0 1Novel antibody combination 3 5 3 7 2 0 20Total No. of antibody tubes run 110 68 48 11 39 7 283

AML, acute myeloid leukemia; B-ALL, B-lymphoblastic leukemia; cyto, cytoplasmic; MPO, myeloperoxidase; T-ALL, T-lymphoblastic leukemia; TdT, terminal deoxynucleotidyl transferase.

* Antibodies are listed in the following fluorochrome order: fluorescein isothiocyanate (FITC)/phycoerythrin (PE)/peridinin chlorophyll protein (PerCP)-cyanin (Cy)5.5/allophycocyanin (APC). The following novel antibody combinations were used: No history of hematolymphoid neoplasm: anti-κ /anti-λ /CD19/CD45 (1 specimen), CD7/CD8/CD3/CD4 (1 specimen), and anti-κ/anti-λ/CD19/CD34 (1 specimen); B-ALL: CD15/CD22/CD19/CD5 (2 specimens), CD15/CD22/CD19/CD10 (1 specimen), CD2/CD22/CD19/CD45 (1 specimen), and CD10/CD19/CD3/CD5 (1 specimen); AML: CD34/CD13 plus CD33/CD56 (1 specimen), CD14/CD33/CD45/CD4 (1 specimen), and CD15/CD13 plus CD33/CD117/CD45 (1 specimen); T-ALL: CD7/CD1a/CD3/CD45 (4 specimens), CD7/CD1a/CD3/CD5 (1 specimen), CD34/CD7/CD3/CD45 (1 specimen), and CD34/CD19/CD3/CD5 (1 specimen); mature lymphoid neoplasms: anti-κ/anti-λ/CD19/CD10 (1 specimen) and CD2/CD7/CD3/CD5 (1 specimen).

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26 Am J Clin Pathol 2011;135:22-3426 DOI: 10.1309/AJCPANA7ER1ABMZI

© American Society for Clinical Pathology

Craig et al / Flow Cytometric Immunophenotyping of CSF Specimens

flow cytometry laboratory ❚Figure 2❚. However, no FCI-positive samples had a hemocytometer count of zero, and all had a hemocytometer count of 440 or greater. Phenotypically abnormal populations contained between 32 and 16,575 events, including 2 positive samples with fewer than 100 events (Table 2). FCI-positive results were found in 1 (1%) of 71 specimens from patients with no history of malignancy ❚Image 1❚, 2 (3%)

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❚Figure 2❚ Results of flow cytometric testing (positive, indeterminate, or negative) at different levels of cellularity as determined by hemocytometer counts performed in the flow cytometry laboratory.

❚Table 2❚Positive Flow Cytometric Immunophenotyping Results

Hemocytom- No. of eter Total Flow No. Events CytologicSpecimen Clinical History WBC Count Tubes Flow Cytometric Findings of Interest Interpretation Follow-up

40A Lung transplantation 1,672,000 6 CD20+/CD10+/sIg κ+ 287 ND Monomorphic PTLD, DLBCL-like72A Anaplastic large cell 842,600 7 CD2+/CD3–/CD7+/CD5–/ 7,287 Positive Died of ALCL 5 mo later lymphoma CD4+/CD13 plus CD33+ 102 CLL/SLL 1,100 1 CD19+/CD5+/sIg κ+(dim) 326 Atypical None106A B-ALL 6,600 1 CD19+/CD10+, with partial 1,032 Suspicious Relapse in PB 2 wk later CD34+ and partial CD13 plus CD33+ 106B See specimen 106A; 440 1 CD19+/CD10+, and mostly 58 Suspicious Persistent BM interval, 21 d after CD34+ involvement therapy 107A AML with t(6;11)(q27; 380,000 5 CD45+(dim)/CD33+/CD34±/ 5,483 ND See 107B q23) CD117–/CD56+ 107B See specimen 107A; 13,111 1 CD13 plus CD33+/CD34± 955 Positive See 107C interval, 2 d after therapy 107C See specimen 107B; 1,100 1 CD13 plus CD33+/CD34±, 215 Suspicious See 107D interval, 3 d after therapy similar to previous 107D See specimen 107C; 1,100 1 CD13 plus CD33+/CD34±, 32 Suspicious Persistent BM interval, 21 d after therapy similar to previous involvement127 AML with MDS-related 1,100 1 CD45+(dim)/CD13 plus changes CD33+/CD34+ 1,973 Suspicious None 108 AML with inv(16) 4,400,000 10 CD13+/CD33+/CD15+/ 16,575 ND Persistent BM CD34+/CD117+/TdT+/ involvement CD19±/MPO+

ALCL, anaplastic large cell lymphoma; AML, acute myeloid leukemia; B-ALL, B-lymphoblastic leukemia/lymphoma; BM, bone marrow; CLL/SLL, chronic lymphocytic leukemia/small lymphocytic lymphoma; dim, weak intensity staining; DLBCL, diffuse large B-cell lymphoma; MPO, myeloperoxidase; ND, not done; PB, peripheral blood; PTLD, posttransplant lymphoproliferative disorder; sIg, surface immunoglobulin; TdT, terminal deoxynucleotidyl transferase; +, positive; –, negative; ±, variable.

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❚Image 1❚ Positive flow cytometric immunophenotyping (FCI), B-cell lymphoma (Specimen 40A). Cerebrospinal fluid (CSF) was evaluated from a patient with a 1-month history of persistent diplopia and progressive lower extremity weakness 5 years following pulmonary transplantation for idiopathic pulmonary fibrosis. The requisition indicated clinical concern for infection and metastatic malignancy. FCI performed on the CSF demonstrated a population of CD20+/CD10+/κ light chain–restricted B cells composed of 287 events. The cells of interest are highlighted in red. A follow-up cerebellar biopsy obtained approximately 2.5 months later was diagnostic of monomorphic posttransplantation lymphoproliferative disorder, diffuse large B-cell lymphoma–like, Epstein-Barr virus–negative. APC, allophycocyanin; FITC, fluorescein isothiocyanate; PE, phycoerythrin; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

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Am J Clin Pathol 2011;135:22-34 2727 DOI: 10.1309/AJCPANA7ER1ABMZI 27

© American Society for Clinical Pathology

Hematopathology / Original Article

of 78 specimens from patients with a history of lymphoblastic leukemia ❚Image 2❚, 6 (17%) of 35 specimens from patients with a history of AML, and 2 (6%) of 33 specimens from patients with a history of lymphoma. Of the 8 FCI-positive specimens that were available for cytologic review, 2 were also positive by cytology and 6 were indeterminate by cytology (1 atypical and 5 suspicious) (Table 2). No FCI-positive specimens were negative by cytology.

Indeterminate FCIOf 230 CSF specimens, 19 (8.3%) had flow cytometric

findings that were considered indeterminate for diagnosis. For specimens with a hemocytometer count less than 100,000 cells, indeterminate FCI results outnumbered those with definitive phenotypic abnormalities (Figure 2). Indeterminate FCI results were found more frequently than positive results for patients with no history of malignancy, 7 (9%) of 75 specimens, or a history of B- or T-ALL, 8 (10%) of 78 specimens ❚Figure 3❚.

Three FCI indeterminate specimens were limited primar-ily by a paucity of events ❚Table 3❚. These 3 specimens were from patients with a history of acute leukemia (2 B-ALL and

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❚Image 2❚ Positive flow cytometric immunophenotyping (FCI): B-lymphoblastic leukemia (Specimen 106 A, top 2 plots; Specimen 106B, lower 2 plots). Limited FCI was performed on a cerebrospinal fluid (CSF) specimen (specimen 106A) from a patient in bone marrow remission 2 months following a diagnosis of precursor B-lymphoblastic blast phase of BCR-ABL1–positive chronic myelogenous leukemia. FCI demonstrated a population of blasts with a phenotype similar to the original diagnostic bone marrow specimen: CD19+/CD10+/CD34+/CD13 and/or CD33 partial, composed of 1,032 events. The cells of interest are highlighted in red. Treatment was initiated with intrathecal methotrexate, imatinib mesylate, and hyper-CVAD (cyclophosphamide, vincristine, doxorubicin, and dexamethasone). A follow-up CSF specimen obtained 21 days later (specimen 106B) demonstrated blasts with a similar precursor B-cell phenotype, represented by 58 events, highlighted in red. APC, allophycocyanin; FITC, fluorescein isothiocyanate; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

❚Figure 3❚ Results of flow cytometric testing (positive, indeterminate, or negative) by clinical history. ALL, history of lymphoblastic leukemia, B or T cell; AML, history of acute myeloid leukemia.

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❚Table 3❚Flow Cytometric Immunophenotyping Limited by Paucity of Events

Hemocytom- No. of eter Total Flow No. Events CytologicSpecimen Clinical History WBC Count Tubes Flow Cytometric Findings of Interest Interpretation Follow-up

52 AML with inv(16) 440 1 Rare CD45+(dim)/CD13 plus 11 Atypical Relapse in BM 2 mo later CD33+/CD34+ events 116C B-ALL 2,222 1 Rare CD19+/CD10+ events 7 Negative See 116D with partial staining for CD34+ 116D See specimen 116C; 200 1 Rare CD34+/TdT+ events 7 Negative Relapse in PB 5 wk later interval, 4 d after therapy

AML, acute myeloid leukemia; B-ALL, B-lymphoblastic leukemia/lymphoma; BM, bone marrow; dim, weak intensity staining; PB, peripheral blood; TdT, terminal deoxynucleotidyl transferase; +, positive.

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1 AML), had low hemocytometer counts (200-2,222 cells), contained only rare events in an area where blasts might fall (7-11 events), and had insufficient cells available for further flow cytometric evaluation ❚Image 3❚.

Eight FCI indeterminate specimens were limited pri-marily by the presence of possible artifact ❚Table 4❚. These 8 specimens contained 0 to 17,380 cells as determined by

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❚Image 3❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by paucity of events (Specimen 116C, top 2 plots; Specimen 116D, lower 2 plots). Limited FCI was performed on 2 paucicellular specimens received approximately 3 months following diagnosis of B-lymphoblastic leukemia with t(9;22)(q34;q11.2);BCR-ABL1, and after 2 FCI-negative cerebrospinal fluid (CSF) evaluations 1 and 2 months earlier. Specimen 116C (evaluated for CD10/CD13 plus CD33/CD19/CD34) demonstrated 7 events apparently staining for CD19 and CD10 and with partial staining for CD34. The cells of interest are highlighted in red. Intrathecal methotrexate was instilled. A subsequent specimen (116D) obtained 4 days later with evaluation for terminal deoxynucleotidyl transferase (TdT), myeloperoxidase (MPO), cytoplasmic CD3, and CD34, demonstrated 7 events, highlighted in red, apparently staining for CD34 and TdT. Intrathecal methotrexate was instilled. Repeated CSF evaluation performed 6 days later was negative for acute leukemia by flow cytometric and cytologic evaluation. Peripheral blood flow cytometric evaluation performed 5 weeks later documented relapse of disease with the following phenotype: CD34+/CD19+/CD10+/TdT+/CD13–/CD33–. APC, allophycocyanin; FITC, fluorescein isothiocyanate; PE, phycoerythrin; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

❚Table 4❚Flow Cytometric Immunophenotyping Limited by Possible Artifact

Hemocytom- No. of Clinical eter Total Flow No. Events CytologicSpecimen History WBC Count Tubes Flow Cytometric Findings of Interest Interpretation Follow-up

11B B-ALL 0 1 Apparent nonspecific staining 10 Atypical Relapse in BM 7 mo later for CD19, CD10, and CD13 plus CD33 29 Follicular 4,620 1 Aspirated air events apparently 82 Negative Concurrent LN follicular lymphoma staining with anti-CD10-APC lymphoma, grade 3a of 337B B-ALL 300 1 Apparent high background staining 25 Negative Relapse in BM 1 y later for CD34 and TdT 43A B-ALL 1,100 1 Two populations, neither character- (1) 60; Negative Remission after allogeneic istic of disease: (1) CD19–/CD10+/ (2) 68 PBSCT CD34+/CD13 plus CD33+; (2) CD19+/ CD10–/CD34+/CD13 plus CD33– 64D T-ALL 1,320 1 Apparent staining of all events for CD10 70 Negative Remission, 2-y follow-up and variable staining for CD3 and CD7 65C B-ALL 880 1 Apparent nonspecific staining for CD34, 28 Atypical Relapse in CNS 14 mo later CD10, and CD13 plus CD33 73A Myeloma 17,380 1 Apparent cytoplasmic immunoglobulin 83 ND Subsequent indeterminate κ+ but CD138– CSF, 1 mo later87 None 5,775 1 Apparently CD45– T and myeloid cells; 310 ND None ? incorrect antibody added

B-ALL, B lymphoblastic leukemia/lymphoma; BM, bone marrow; CNS, central nervous system; LN, lymph node; ND, not done; PBSCT, peripheral blood stem cell transplant; T-ALL, T lymphoblastic leukemia; TdT, terminal deoxynucleotidyl transferase; +, positive; –, negative.

hemocytometer count and 10 to 310 events in the population of interest, often lacked recognizable normal populations that could be used to confirm the presence of specific staining and indicate the presence of nonspecific or background staining, and had insufficient cells available for further flow cytometric evaluation. Possible artifacts present included aspirated air (1 specimen) ❚Image 4❚, background staining (1 specimen)

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aggregates, such as doublets, using a plot of FSC area vs FSC height. Cell aggregates were identified in 29 (16.4%) of 177 CSF specimens and represented 0 to 1,503 events and 0% to 80% of total acquired events.

CSF specimens with indeterminate flow cytometric findings included 8 that were primarily limited by pheno-typic findings that were insufficient to adequately distinguish between neoplastic and nonneoplastic cells ❚Table 5❚. These 8 specimens were slightly more cellular than the other FCI-indeterminate specimens, containing 127 to 6,518 events in the population of interest. However, results were obtained from the evaluation of only 1 flow cytometric tube for 7 of 8 specimens in this group. A definitive interpretation might have been possible for some of the specimens if additional cells had been available for further evaluation. For example, specimen 5 from a patient with ophthalmoplegia and had no history of malignancy demonstrated a population of cells with low side light scatter that did not stain with any of the antibodies applied: κ/λ/CD19 and CD5 (Table 5). Evaluation for myeloid antigens and for additional B- or T-cell antigens could have assisted in reaching a more definitive conclusion. Two FCI-indeterminate specimens illustrated difficulties that

❚Image 5❚, nonspecific staining (4 specimens) ❚Image 6❚, and incorrect antibodies (1 specimen). The latter specimen (speci-men 87), was evaluated with a novel antibody combination that had not been previously validated in the laboratory and demonstrated myeloid and T cells that both appeared to lack staining for CD45, raising the possibility that the incorrect antibodies were added to the tube.

To further evaluate the presence of artifacts due to aspi-rated air, additional analysis was performed, in retrospect, on a subset of the study CSF specimens using plots of SSC or APC vs time of acquisition to identify a period toward the end of acquisition with sudden acquisition of many events with high SSC or a bright signal in the APC detector. Probable aspirated air was detected in 58 (25.2%) of 230 specimens representing 41 to 29,925 events and 6.6% to 99.8% of total acquired events. Although aspirated-air events generated a signal in the APC detector that could be misinterpreted as cell staining with an APC-conjugated antibody, in practice, the artifact was readily recognized, and most air events were excluded on an FSC vs SSC gate and did not interfere with interpretation. In addition, further analysis was performed on a cohort of specimens to evaluate for the presence of cell

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❚Image 4❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by artifact related to aspirated air (Specimen 29). Cerebrospinal fluid was evaluated by FCI (κ/λ/CD20/CD10) in a patient with a history of follicular lymphoma who had headache and lower extremity weakness. A plot of time of acquisition vs side light scatter (SSC) demonstrates quick acquisition of the entire specimen and a burst of high SSC events toward the end of acquisition (highlighted in green) related to the aspiration of air. A dot plot of CD20 vs CD10 displays all events, including air events highlighted in green. Air events demonstrate an apparent signal in the APC detector (CD10). Given this artifact, the significance of a few nonair events apparently staining for CD10 and CD20 is uncertain. There was no evidence of immunoglobulin light chain restriction. A concurrent lymph node biopsy was diagnostic of follicular lymphoma, grade 3a of 3, with a CD20+/CD10+/λ light chain–restricted phenotype. APC, allophycocyanin; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

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❚Image 5❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by possible artifact (Specimen 37B). Routine cerebrospinal fluid evaluation performed 3 months following diagnosis of B-lymphoblastic lymphoma, with evaluation for terminal deoxynucleotidyl transferase (TdT), myeloperoxidase, cytoplasmic CD3, and CD34, demonstrated 25 events with apparent mostly weak intensity, staining for CD34 and TdT. However, marker placement is difficult owing to lack of an identifiable population of normal cells that can act as an internal negative control population. Insufficient specimen was available to perform an isotype control. FCI performed 1 year later, at the time of relapse, on a subsequent bone marrow specimen (right dot plot) demonstrates a CD34 bright, TdT+ population (highlighted in red) and high background staining of a negative population (in green) that is quite typical for this cytoplasmic tube. APC, allophycocyanin; FITC, fluorescein isothiocyanate.

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can be encountered in distinguishing reactive and neoplastic monocytic cells (specimens 60 and 81) ❚Image 7❚ and ❚Image 8❚. Specimens from 2 patients (specimens 95 and 130A) had surface immunoglobulin–negative B cells, but no other identi-fiable phenotypic abnormalities. Although lack of staining for surface immunoglobulin is unusual and has been suggested to be a marker of neoplasia, the possibility of artifactual lack of staining could not be entirely excluded. A subsequent high-volume CSF tap performed on patient 130 (130B) yielded sufficient cells for 8 flow cytometric tubes, including confir-mation of lack of staining for surface immunoglobulin and demonstration of lack of staining for cytoplasmic immuno-globulin and lack of evidence of plasmacytic differentiation (Table 5).

Discussion

The current study confirmed that FCI is useful in the evaluation of CSF specimens for involvement by hemato-logic neoplasms. Phenotypic findings sufficient to establish a diagnosis of leukemia or lymphoma were identified in 4.8% of specimens, including several with indeterminate cytologic findings. All FCI-positive specimens contained a well-defined population of cells with a phenotype characteristic of a disease entity and no evidence of artifact. Only 1 specimen was positive for malignancy by cytology and negative by flow cytometry, but that was involved by carcinoma and not a hematopoietic or lymphoid neoplasm. Some studies have

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❚Image 6❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by possible artifact (Specimen 43A). FCI performed on a cerebrospinal fluid (CSF) specimen from a patient with Down syndrome and a history of B-lymphoblastic leukemia, after allogeneic transplantation from a sibling, revealed 2 populations of cells: one apparently staining for CD19 and CD34 but lacking CD10 and CD13 plus CD33 (plots not shown) (highlighted in red) and another staining for CD13 and/or CD33, CD34, and CD10, but lacking CD19 (highlighted in blue). These unusual findings are not characteristic of lymphoblastic leukemia and differ from the original diagnostic specimen. Although the presence of a population staining for CD19 and CD34 raised the possibility of B lymphoblasts, the significance of the staining for CD34 and CD10 seen on CD19– events is uncertain and suggests that the staining for CD34 might be artifactual. No additional cells were available for further evaluation. Five subsequent CSF specimens obtained monthly were all negative by cytology and FCI. APC, allophycocyanin; FITC, fluorescein isothiocyanate; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

❚Table 5❚Flow Cytometric Immunophenotyping Limited by Indeterminate Phenotypic Findings

Hemocytom- No. of eter Total Flow No. Events CytologicSpecimen Clinical History WBC Count Tubes Flow Cytometric Findings of Interest Interpretation Follow-up

5 Ophthalmoplegia 0 1 CD5–/CD19– events of uncertain 1,952 Negative None lineage 34C AML-NOS, acute 18,040 1 Prominent population of CD13 plus 689 Atypical Relapse in BM 5 mo later monocytic leukemia CD33+/CD34– with FSC/SSC appearance consistent with monocytes 35 Atypical CD4+ 10,000 1 Prominent population of CD4+/ 516 NA None lymphocytosis CD3+/CD2+ T cells in PB 60 Encephalitis 22,110 1 CD2+/CD4+/CD3–/CD8– probable 494 Negative Treated for suspected monocytes herpes encephalitis81 AML-NOS, acute 7,920 1 CD33+/CD4+/CD14– possible 127 Atypical None monocytic leukemia immature monocytes 95 None 35,000 1 Surface Ig– B cells 340 Negative Lymph node biopsy, EBV+ DLBCL elderly130A Enhancing brain 14,800 1 Surface Ig– B cells 290 Suspicious See 130B lesions 130B See specimen 130A; 404,800 8 Surface Ig– B cells 6,518 Suspicious Brain biopsy, interval 5 d; no angiocentric, EBV+, therapy lymphoproliferative disorder

AML-NOS, acute myeloid leukemia, not otherwise specified; DLBCL, diffuse large B-cell lymphoma; EBV, Epstein-Barr virus; FSC/SSC, forward and side light scatter properties; Ig, immunoglobulin; +, positive; –, negative.

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study, these specimens frequently yielded cellular events on the flow cytometer and often had as many cells as the popu-lations of interest identified in low-cellularity FCI-positive specimens. Despite limitations in the usefulness of hemocy-tometer counts, they were of value in identifying specimens that would likely yield a low number of acquired events and, therefore, might require evaluation with fewer flow cytomet-ric tubes. Indeed, even an estimated total cell number, deter-mined from a composite of a hemocytometer count obtained in the hematology laboratory on a separate CSF tube from the same procedure and the volume received in the flow cytom-etry laboratory, could predict which specimens would yield few events.

The vast majority of CSF specimens yielded acquired cel-lular events with no demonstrable phenotypic abnormalities. Although it is difficult to exclude malignancy with certainty in paucicellular specimens that permit only limited flow cyto-metric evaluation, FCI-negative specimens demonstrated cell populations that have been described previously in normal or reactive CSF specimens, including an identifiable population of T cells, a smaller percentage of B cells including some specimens with no detectable B cells, and a variable propor-tion of monocytes and granulocytes.10 Only 2 flow cytometric

reported a higher percentage of FCI-positive specimens than seen in the present study, but they were restricted to patients with a known history of lymphoma,11 leukemia,16 or HIV infection,11 and some focused on patients at high risk for cen-tral nervous system dissemination2 or patients with previous cytologically “atypical” or “suspicious” CSF specimens.9 The present study included all CSF specimens submitted for FCI, including specimens from patients with no history of malignan-cy, and review of clinical records revealed that flow cytometric testing was requested liberally, even when clinical suspicion for a hematopoietic or lymphoid malignancy was low. All but 1 FCI-positive specimen was obtained from a patient with a known history of malignancy, and there was a moderately high suspicion of malignancy for the other patient.

In contrast with previous studies that have used a thresh-old CSF cellularity below which FCI was not performed,12 the present study demonstrated that definitive diagnostic information could be obtained even in low-cellularity speci-mens. Indeed, the ability to obtain diagnostic information on very-low-cellularity specimens is important because these constituted the majority of CSF specimens received by the flow cytometry laboratory. Although no specimens with a hemocytometer count of zero yielded a positive result in this

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❚Image 7❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by insufficient phenotypic findings (Specimen 60). Limited FCI with evaluation for CD2, CD8, CD3, and CD4 performed on a cerebrospinal fluid specimen from a patient with a history of encephalitis identified a population of events with increased forward angle side light scatter that lacked staining for CD3 but demonstrated apparent staining for CD4 and CD2 (highlighted in red). Although unusual, CD2 is expressed by a population of normal monocytes and, therefore, does not indicate an aberrant phenotype. Insufficient cells were available for further evaluation. The patient was treated for suspected herpes encephalitis. APC, allophycocyanin; FITC, fluorescein isothiocyanate; PerCP-Cy5.5, peridinin chlorophyll protein–cyanin 5.5.

❚Image 8❚ Indeterminate flow cytometric immunophenotyping (FCI), limited primarily by insufficient phenotypic findings (Specimen 81). FCI performed on a cerebrospinal fluid (CSF) specimen from a patient with a history of acute myeloid leukemia not otherwise specified, acute monocytic leukemia, using the novel antibody combination CD14, CD33, CD45, and CD4 demonstrated a small population composed of 127 events, highlighted in red, staining for CD33 and CD4 but lacking CD14, possibly representing a small population of immature monocytes. Insufficient cells were available for further characterization. The following blast phenotype was identified in the bone marrow at the time of the original diagnosis: CD45+/CD4+/CD64+/CD36+/CD15+/CD33+/HLA-DR+/CD13+/CD14+/partial CD56+/CD34–/CD117–. Two subsequent CSF samples also demonstrated indeterminate flow cytometric findings. APC, allophycocyanin; FITC, fluorescein isothiocyanate.

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to those of previous specimens. However, it is important to remember that phenotypic shifts can occur during the course of the disease and may be affected by medication, such as monoclonal antibody therapy.18

Given the limitations that relate to low cellularity, it is important to maximize the amount of immunophenotypic information that can be obtained from paucicellular CSF specimens. Useful strategies to consider include prioritiz-ing allocation for FCI rather than other laboratory testing, decreasing cell degeneration by fast delivery on ice or pos-sibly the use of cell preservatives,8 reducing use of cells for hemocytometer counting or viability determination, and minimized specimen handling during processing.13,19 The decision of which limited antibody combination to run is greatly assisted by knowledge of the clinical indication for testing. Once stained, it is useful to acquire the entire sam-ple, with exclusion of events from aspirated air after acquisi-tion using a plot of time of acquisition vs SSC or APC. If, despite these strategies, the results of FCI are indeterminate owing to the presence of too few events to adequately define a population with atypical findings, it may be of value to recommend repeated FCI on a high volume CSF tap. In addi-tion, when making an interpretation from so few events, it is essential to eliminate contamination from other specimens. Recommended strategies include capping all specimen tubes throughout the procedure and running a blank tube on the flow cytometer before specimen acquisition to eliminate car-ryover. It is reassuring for the interpreter to review data from this blank tube before evaluating the patient sample.

The presence of possible artifact that could lead to mis-interpretation was noted in 8 of 19 FCI-indeterminate speci-mens. Apparent background staining and nonspecific staining are problems that may be encountered in FCI of any specimen but were more of a challenge in CSF specimens because of the frequent inability to repeat the procedure and lack of a normal population of cells within the specimen that could serve as internal positive and negative control populations. Running separate positive and negative control specimens in parallel with low-cellularity CSF specimens that are likely to lack adequate internal control staining is recommended. In addition, the use of standard premixed combinations of anti-bodies is preferable because familiarity with the performance characteristics can assist with recognition of potential artifacts and with reducing errors in antibody addition.

Aspiration of air was a frequent occurrence in the acqui-sition of CSF specimens and apparently contributed to FCI-indeterminate results for 1 specimen (specimen 29) owing to artifactual bright staining for APC. Although for most sam-ples air events could be adequately excluded from the analysis by gating on events with low SSC, plots containing time of acquisition were found to be of additional value by allowing exclusion of a burst of events toward the end of acquisition

evaluations were considered completely inadequate for inter-pretation owing to absence of acquired cellular events.

Indeterminate FCI results were obtained for 19 CSF spec-imens (8.3%) and outnumbered definitive positive results for specimens with a hemocytometer count of less than 100,000 and those from patients with a history of lymphoblastic leuke-mia or no history of malignancy. Indeed, given the presence of indeterminate results and low yield of positive cases, the usefulness of FCI as a screening tool for hematolymphoid malignancy when the clinical suspicion is low could be ques-tioned. Many of the difficulties encountered in the indetermi-nate specimens were, at least in part, related to low cellularity resulting in paucity of events in the population of interest, inability to confidently exclude artifact owing to lack of nor-mal cell populations that could act as internal negative and positive staining controls, and inability to generate sufficient phenotypic information to adequately distinguish neoplastic and nonneoplastic populations.

Of the 19 FCI-indeterminate specimens, 3 contained a very small number of events (7-11 events) with a phenotype compatible with a previously diagnosed malignancy, but the findings were considered insufficient to establish a definitive diagnosis. In contrast, 1 specimen that was interpreted as positive for AML by FCI (specimen 107D) contained only 32 events of interest, but these events constituted a well-defined population with a phenotype similar to previous positive spec-imens. Given the low cellularity of many CSF specimens, it is important to consider how many events are sufficient to define a population and establish a diagnosis. This question has been addressed in a few previous studies, with findings that are in agreement with our own findings.17 By using a Poisson distribution to calculate the statistical probability that events identified in the peripheral blood by FCI correspond to a spe-cific population, Subirá et al10 concluded that at least 9 B-cell events or 12 T-cell events were required to reach a confidence level of 95%. These results were in agreement with their per-sonal observation that at least 13 clustered events displaying identical features by FCI were required to identify a specific cell population.10 In addition, when these authors evaluated CSF specimens from patients with a variety of neurologic conditions, they noted that they could not recognize any cell subset by FCI that was represented by fewer than 5 cells.10 More recently, a consensus flow cytometry immunopheno-typing protocol for CSF samples recommended that samples with a cluster of more than 25 abnormal lymphoid cells or blasts be classified as positive, 10 to 25 cells as suspicious, and clusters of fewer than 10 events as negative.13 Instead of a defined threshold number of events, we recommend tak-ing into consideration all the information available for each specimen, including the number of events in the population of interest, how tightly the cells are clustered, and whether the findings are characteristic of a disease entity or similar

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or running extra flow cytometric tubes might have assisted in reaching a more definitive diagnosis. For CSF specimens with no history, it is particularly difficult to select a combination of antibodies that can screen for all diagnostic possibilities and adequately characterize any atypical populations identified. Kraan and colleagues13 suggested splitting CSF samples into 3 aliquots to provide 1 screening tube and 2 tubes for follow-up, but this approach has the disadvantage of reducing the number of cells available in each tube.

Flow cytometric testing has documented value in the assessment of CSF specimens for hematologic neoplasms. Definitive diagnostic information can be obtained from even very-low-cellularity specimens. However, it is important to be familiar with some of the problems that may be encountered and adopt strategies to avoid misinterpretation. Some newer flow cytometers record additional parameters that can assist in the identification of a number of artifacts, including time of aspiration, FSC area, and FSC height to assist in exclusion of aspirated air and doublets. In addition, the increasing ability to detect more fluorochromes and, hence, more antigens on each cell acquired will facilitate detection of phenotypically aber-rant cells and internal control populations and should reduce the number of indeterminate FCI results.

From the Department of Pathology, Divisions of 1Hematopathology and 2Anatomic Pathology, 3University of Pittsburgh School of Medicine, Pittsburgh, PA.

Address reprint requests to Dr Craig: UPMC-Presbyterian, Suite G300, 200 Lothrop St, Pittsburgh, PA 15213.

Acknowledgments: We thank the technologists in the UPMC System clinical flow cytometry laboratory for processing of the clinical samples and Gary Krawczewicz, S. Branden Van Oss, and Karen Freilino for assistance with additional flow cytometric analysis.

References 1. Bigner SH. Cerebrospinal fluid (CSF) cytology: current

status and diagnostic applications. J Neuropathol Exp Neurol. 1992;51:235-245.

2. Bromberg JE, Breems DA, Kraan J, et al. CSF flow cytometry greatly improves diagnostic accuracy in CNS hematologic malignancies. Neurology. 2007;68:1674-1679.

3. Glass JP, Melamed M, Chernik NL, et al. Malignant cells in cerebrospinal fluid (CSF): the meaning of a positive CSF cytology. Neurology. 1979;29:1369-1375.

4. Gondos B, King EB. Cerebrospinal fluid cytology: diagnostic accuracy and comparison of different techniques. Acta Cytol. 1976;20:542-547.

5. Finn WG, Peterson LC, James C, et al. Enhanced detection of malignant lymphoma in cerebrospinal fluid by multiparameter flow cytometry. Am J Clin Pathol. 1998;110:341-346.

6. French CA, Dorfman DM, Shaheen G, et al. Diagnosing lymphoproliferative disorders involving the cerebrospinal fluid: increased sensitivity using flow cytometric analysis. Diagn Cytopathol. 2000;23:369-374.

that displayed a dramatic increase in SSC or apparent APC staining. Another feature that is available on newer flow cytometry instruments and can be useful in excluding artifact is the acquisition of FSC area and FSC height to identify events due to cell aggregation, such as doublets.15 Although in this study cell aggregates were not documented to contribute to indeterminate results, flow cytometric information derived from aggregated cells can be misinterpreted as aberrant anti-gen expression.

Discrete cell populations with atypical phenotypic find-ings but insufficient information to establish a definitive diagnosis were identified in 8 of the 19 FCI-indeterminate specimens. Difficulty was encountered in adequately evalu-ating some cell populations with a single 4-color antibody combination. Assessment for acute leukemia was particularly difficult when the neoplastic cells lacked expression of CD34, such as is frequently encountered in leukemia with monocytic differentiation. Although it is widely accepted that evaluation for aberrant antigen expression is a useful approach for the detection of residual involvement of bone marrow specimens by leukemia,14 this strategy was often difficult in CSF speci-mens because the vast majority contain only enough cells for 1 flow cytometric tube. Distinction between normal and abnormal can also be confounded by the presence of multiple phenotypically distinct subsets of normal cells, such as T-cell subsets, and different stages of maturation or activation, eg, CD14– or CD16+ monocytes. These diverse normal popula-tions may be mistaken for abnormal cells and can be impossi-ble to confirm with a limited FCI evaluation. This difficulty is illustrated by 1 study specimen (specimen 60) from a patient with suspected encephalitis and no history of malignancy who was found to have a CD2+/CD4+/CD8–/CD3– presumptive monocyte population. Although this phenotype is unusual, a small subset of nonneoplastic monocytes is known to express CD2, and, therefore, this finding is not sufficient to identify a neoplastic population.20 Insufficient cells were available for further evaluation. Therefore, it is important to exclude phe-notypic variation in normal cell populations before conclud-ing that an unusual phenotype is neoplastic.

Three specimens were considered indeterminate owing to lack of staining of B cells for surface immunoglobulin. Although the presence of a large proportion of surface immu-noglobulin–negative cells has been reported as abnormal in other specimens,21 it is important to exclude artifactual lack of staining, such as might be seen with blocking by bound immunoglobulin; assess for normal cell populations that lack surface immunoglobulin expression such as plasma cells; and further evaluate for features of B-lineage neoplasms that typically lack surface immunoglobulin expression such as precursor B neoplasms and myeloma. For specimens like these, the ability to further characterize the cells of interest by evaluating additional antigens in a single flow cytometric tube

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14. Craig FE, Foon KA. Flow cytometric immunophenotyping for hematologic neoplasms. Blood. 2008;111:3941-3967.

15. Wood B. 9-color and 10-color flow cytometry in the clinical laboratory. Arch Pathol Lab Med. 2006;130:680-690.

16. Subirá D, Castañón S, Román A, et al. Flow cytometry and the study of central nervous disease in patients with acute leukaemia. Br J Haematol. 2001;112:381-384.

17. Roederer M. How many events is enough? are you positive [letter]? Cytometry A. 2008;73:384-385.

18. Borowitz MJ, Pullen DJ, Winick N, et al. Comparison of diagnostic and relapse flow cytometry phenotypes in childhood acute lymphoblastic leukemia: implications for residual disease detection: a report from the Children’s Oncology Group. Cytometry B Clin Cytom. 2005;68:18-24.

19. Dux R, Kindler-Rohrborn A, Annas M, et al. A standardized protocol for flow cytometric analysis of cells isolated from cerebrospinal fluid. J Neurol Sci. 1994;121:74-78.

20. Cheng YX, Foster B, Holland SM, et al. CD2 identifies a monocyte subpopulation with immunoglobulin E–dependent, high-level expression of Fc epsilon RI. Clin Exp Allergy. 2006;36:1436-1445.

21. Li S, Eshleman JR, Borowitz MJ. Lack of surface immunoglobulin light chain expression by flow cytometric immunophenotyping can help diagnose peripheral B-cell lymphoma. Am J Clin Pathol. 2002;118:229-234.

7. Hegde U, Filie A, Little RF, et al. High incidence of occult leptomeningeal disease detected by flow cytometry in newly diagnosed aggressive B-cell lymphomas at risk for central nervous system involvement: the role of flow cytometry versus cytology. Blood. 2005;105:496-502.

8. Quijano S, Lopez A, Manuel Sancho J, et al. Identification of leptomeningeal disease in aggressive B-cell non-Hodgkin’s lymphoma: improved sensitivity of flow cytometry. J Clin Oncol. 2009;27:1462-1469.

9. Schinstine M, Filie AC, Wilson W, et al. Detection of malignant hematopoietic cells in cerebral spinal fluid previously diagnosed as atypical or suspicious. Cancer. 2006;108:157-162.

10. Subirá D, Castañón S, Aceituno E, et al. Flow cytometric analysis of cerebrospinal fluid samples and its usefulness in routine clinical practice. Am J Clin Pathol. 2002;117:952-958.

11. Subirá D, Górgolas M, Castañón S, et al. Advantages of flow cytometry immunophenotyping for the diagnosis of central nervous system non-Hodgkin’s lymphoma in AIDS patients. HIV Med. 2005;6:21-26.

12. Urbanits S, Griesmacher A, Hopfinger G, et al. FACS analysis: a new and accurate tool in the diagnosis of lymphoma in the cerebrospinal fluid. Clin Chim Acta. 2002;317:101-107.

13. Kraan J, Gratama JW, Haioun C, et al. Flow cytometric immunophenotyping of cerebrospinal fluid. Curr Protoc Cytom. 2008;chapter 6:unit 6.25.