Literature DB >> 26788525

Flow Cytometric Analysis of T, B, and NK Cells Antigens in Patients with Mycosis Fungoides.

Serkan Yazıcı1, Emel Bülbül Başkan1, Ferah Budak2, Barbaros Oral2, Şaduman Balaban Adim3, Zübeyde Ceylan Kalin1, Güven Özkaya4, Kenan Aydoğan1, Hayriye Saricaoğlu1, Şükran Tunali1.   

Abstract

We retrospectively analyzed the clinicopathological correlation and prognostic value of cell surface antigens expressed by peripheral blood mononuclear cells in patients with mycosis fungoides (MF). 121 consecutive MF patients were included in this study. All patients had peripheral blood flow cytometry as part of their first visit. TNMB and histopathological staging of the cases were retrospectively performed in accordance with International Society for Cutaneous Lymphomas/European Organization of Research and Treatment of Cancer (ISCL/EORTC) criteria at the time of flow cytometry sampling. To determine prognostic value of cell surface antigens, cases were divided into two groups as stable and progressive disease. 17 flow cytometric analyses of 17 parapsoriasis (PP) and 11 analyses of 11 benign erythrodermic patients were included as control groups. Fluorescent labeled monoclonal antibodies were used to detect cell surface antigens: T cells (CD3(+), CD4(+), CD8(+), TCRαβ(+), TCRγδ(+), CD7(+), CD4(+)CD7(+), CD4(+)CD7(-), and CD71(+)), B cells (HLA-DR(+), CD19(+), and HLA-DR(+)CD19(+)), NKT cells (CD3(+)CD16(+)CD56(+)), and NK cells (CD3(-)CD16(+)CD56(+)). The mean value of all cell surface antigens was not statistically significant between parapsoriasis and MF groups. Along with an increase in cases of MF stage statistically significant difference was found between the mean values of cell surface antigens. Flow cytometric analysis of peripheral blood cell surface antigens in patients with mycosis fungoides may contribute to predicting disease stage and progression.

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Year:  2015        PMID: 26788525      PMCID: PMC4695677          DOI: 10.1155/2015/856340

Source DB:  PubMed          Journal:  J Immunol Res        ISSN: 2314-7156            Impact factor:   4.818


1. Introduction

Mycosis fungoides is the most common variant of primary cutaneous T cell lymphomas. Most of MF patients first present with long-standing reactive inflammatory dermatoses such as PP en plaque so-called premycotic eruptions [1]. Flow cytometric analysis of the cell surface antigens, expressed by peripheral blood cells, is widely used in the diagnosis and also management of hematologic malignancies; however, it has not been used routinely in the evaluation of MF patients. The diagnosis of MF is still challenging with current histopathological and molecular techniques especially in early stages [2]. Neoplastic T cells frequently have an altered level of expression of various surface T cell markers compared with normal T cells. These differences are sufficient to distinguish normal T cells from neoplastic T cells in the same population [3]. Peripheral blood flow cytometry can detect aberrant T cell populations even when there is no lymphocytosis or elevated total white blood cell count. Detection of T cell abnormalities by flow cytometry is increasing in use as an effective and a sensitive method in MF patients [4]. The importance of peripheral blood flow cytometry studies is highlighted by the ISCL/EORTC recommendations for diagnosis that include one or more of the following phenotypical abnormalities demonstrated by flow cytometry including peripheral blood CD4+/CD8+ rate being above 10, abnormal expression of pan-T cell markers including CD2+, CD3+, CD4+ antigens, and CD7 (CD4+CD7− ≥ 40%) antigen loss of T cells [5]. Aberrant expression of T cells, and also B and NK cells markers, may be expressed in patients with MF [6, 7]. The aim of this study was to evaluate the prognostic value of cell surface antigens expressed by T, B, and NK cells and correlated the results with the clinicopathological ISCL MF diagnostic score, retrospectively by 4-color flow cytometry.

2. Patients and Methods

2.1. Patients

A total of 121 flow cytometric analyses of 121 MF patients, followed up in our clinic between January 2000 and August 2013, were enrolled in the study. All patients had peripheral blood flow cytometry as part of their first visit. TNMB and histopathological staging of the cases were performed in accordance with International Society for Cutaneous Lymphomas/European Organization of Research and Treatment of Cancer (ISCL/EORTC) criteria at the time of flow cytometry sampling retrospectively. 17 flow cytometric analyses of 17 PP and 11 analyses of 11 benign erythrodermic patients were included as control groups (Table 1). By the date of each flow sytometric analysis, TNMB and histopathological staging of cases were performed to all patients according to the Bunn-Lambert staging system and ISCL/EORTC criteria were retrieved from the medical records [5]. To determine prognostic value of flow cytometric analysis, according to the course of the follow-up process of the patients, cases were divided into two groups stable and progressive disease as recommended. Stable disease is described as <25% increase to <50% clearance in skin disease from baseline without new tumors (T3) in patients with T1, T2, or T4 only skin disease. Progressive disease is described as ≥25% increase in skin disease from baseline or new tumors (T3) in patients with T1, T2, or T4 only skin disease or loss of response: in those with complete or partial response, increase of skin score of greater than the sum of plus 50% baseline score [8]. The study was approved by the local ethical committee and conducted according to the principles of the Declaration of Helsinki.
Table 1

Demographic features of the groups included in the study.

Mycosis fungoidesParapsoriasisBenign erythroderma
n/flow analysis121/12117/1711/11
Gender
 ♀/♂51/7011/66/5
Flow age (y)
 Mean ± SD54.42 ± 13.8146.99 ± 12.0562.23 ± 15.78
 Median; min.–max.54.0; 18–9046.00 ± 17–6268.50; 36–83
Duration of disease (y)
 Mean ± SD7.14 ± 5.602.94 ± 2.46
 Median; min.–max.5.0; 1–352.0 ± 1–91; 1–20

2.2. Flow Cytometric Analysis

Peripheral blood specimens were collected in EDTA tubes. Blood samples were transported to the flow cytometry laboratory where the specimens were processed and analyzed within 24 hours of receipt. After incubation of whole peripheral blood with monoclonal antibodies for 15 minutes at room temperature in the dark, erythrocytes were lysed with NH4CL for 10 min, followed by two washing steps using phosphate buffered saline solution. The cells were then resuspended and fixed with 1% paraformaldehyde. Four-color flow cytometry was performed using FACSCanto (BD Biosciences, USA). Four-color direct immunofluorescent staining was performed as described by the manufacturer, using a 7-tube panel (70 × 15 mm). 100 μL (105 cells) blood samples, containing EDTA, were transferred to tubes and the tubes were placed in the Lyse Wash Assistant (LWA) (BD Biosciences, USA). Fluorescent labeled monoclonal antibodies were used to detect cell surface antigens: T cells (CD3+, CD4+, CD8+, TCRαβ +, TCRγδ +, CD7+, CD4+CD7+, CD4+CD7−, and CD71+), B cells (HLA-DR+, CD19+, and HLA-DR+CD19+), NKT cells (CD3+CD16+CD56+), and NK cells (CD3CD16+CD56+). Fluorescein isothiocyanate (FITC), phycoerythrin (PE), Allophycocyanin (APC), and Peridinin-Chlorophyll-Protein-Complex (PerCP) labeled fluorescent monoclonal antibodies (Beckman Coulter, France) were used. Cells were collected and analyzed on a FACSCanto (BD Biosciences, USA) using FACSDiva (BD Biosciences, USA). The tubes were aspirated until dry to maximize cell yield. Lymphocytes were identified in the standard manner based on CD45 expression and side angle light scatter.

2.3. Statistical Analysis

SPSS for Windows Version 20.0 (SPSS Inc, Chicago, Illinois, USA) software package program was used for the statistical analysis. Variables were represented with mean, standard deviation, median, and maximum-minimum values. Categorical values of the variables given to cross-tables and differences between the two groups were analysed with Pearson's chi-square and Fisher's exact test. Median and mean values of binary groups compared with using Kruskal-Wallis and Mann-Whitney tests, and for more than two groups ANOVA test was used. ROC curve analysis was performed to determine the cut-off values between progressive and stable disease groups. P < 0.05 was considered to be significant.

3. Results

A total of 121 MF patients (70 M, 51 F) were included in the study. The age of MF patients during sampling ranged from 18 to 89 years (mean ± SD; 54.42 ± 13.81). The age of 17 parapsoriasis patients (6 M, 11 F) ranged from 17 to 62 (mean ± SD; 46.99 ± 12.05). The age of benign erythroderma patients ranged from 36 to 83. MF patients were followed up for an average of 4.28 ± 2.96 years, 105 cases were accepted as stable, and 16 cases were progressive. Clinical and demographic features of MF patients and histopathological and TNM staging of cases according to the Bunn-Lambert staging system and ISCL/EORTC criteria were summarized in Table 2.
Table 2

Clinical and demographic features of MF patients and histopathological and TNM staging of cases according to the Bunn-Lambert staging system and ISCL/EORTC criteria.

n 121
Gender
 ♀/♂51/70
Age (y)
 Mean ± SD54.42 ± 13.81
 Median; min.–max.54.0; 18–90
Duration of disease (y)
 Mean ± SD7.14 ± 5.60
 Median; min.–max.5.0; 1–35
Follow-up period (y)
 Mean ± SD4.28 ± 2.96
 Median; min.–max.4; 1–14
Coursing
 Stable105
 Progressive16
 Eksitus5
Histopathological stage
 Patch75
 Plaque37
 Tumor9
Clinical (T) stage
 T1 33
 T2 68
 T3 7
 T4 13
Lymph node (N) involvement
 None109
 Positive12
TNM staging
 Early (IA –IIA)
  IA33
  IB67
  IIA1
 Late (IIB–IV)
  IIB6
  III10
  IV4
The mean value of all cell surface antigens was not statistically significant between parapsoriasis and MF groups. This finding may show that flow cytometry is not enough alone to differentiate mycosis fungoides from benign dermatoses and parapsoriasis. CD3+CD16+CD56+ cells may differentiate benign erythrodermic and MF patients assessed with two-sided t-test (P = 0.027) (Table 3). According to histopathological and clinical stage in cases of mycosis fungoides, statistically significant differences were found between the mean values of all cell surface antigens (Tables 4 and 5). While increasing stage of disease the number of CD3+, CD4+, TCRαβ +, CD4+CD7+, CD4+CD7−, and CD71+ cells and CD4+/CD8+ cell percentage were significantly increased and the number of CD8+, CD7+, HLA-DR+, CD19+, HLA-DR+, CD19+, CD3CD16+, and CD56+ cells decreased significantly (Table 5). These findings may be useful in identifying advanced stage cases in patients with MF.
Table 3

The mean value of all cell surface antigens between groups.

CD moleculeMycosis fungoidesParapsoriasisBenign erythroderma
n: 121 n: 17 n: 11
CD3+ 0.917
 Mean ± SD73.66 ± 9.6271.12 ± 3.3362.97 ± 23.26
 Median; min.–max.73.60; 48.70–98.7070.90; 67.70–74.7058.70; 43.60–90.90
CD4+ 0.754
 Mean ± SD47.54 ± 13.2643.0 ± 8.8139.62 ± 27.09
 Median; min.–max.45.3 ± 15.30–97.5048.70; 31.20–50.4032.05; 15,80–78.60
CD8+ 0.954
 Mean ± SD23.49 ± 10.6225.96 ± 4.8620.95 ± 9.86
 Median; min.–max.22.0; 0.50–73.3024.9; 21.40–32.6020.3; 10.60–32.60
CD4+/CD8+ 0.836
 Mean ± SD5.61 ± 18.691.74 ± 0.62.40 ± 2.09
 Median; min.–max.2.0; 0.2–183.22.0; 0.90–2.301.95; 0.60–5.10
TCRαβ + 0.944
 Mean ± SD68.96 ± 9.6667.88 ± 4.058.80 ± 20.71
 Median; min.–max.69.10; 45.80–98.069.60; 63.10–72.5053.35; 42.0–86.50
TCRγδ + 0.056
 Mean ± SD4.09 ± 2.913.10 ± 2.103.35 ± 4.43
 Median; min.–max.3.20; 0.10–13.604.30; 0.80–4.801.20; 1.0–10.0
CD7+ 0.585
 Mean ± SD74.22 ± 12.6080.0 ± 3.7777.4 ± 4.35
 Median; min.–max.76.60; 2.80–98.079.2; 74.60–84.079.05; 71.10–80.40
CD4+CD7+ 0.478
 Mean ± SD38.98 ± 11.5040.68 ± 7.4037.22 ± 17.86
 Median; min.–max.38.60; 9.60–96.5044.80; 31.10–46.8031.75; 22.30–63.10
CD4+CD7 0.193
 Mean ± SD9.62 ± 11.534.52 ± 1.434.95 ± 3.87
 Median; min.–max.5.60; 0.50–88.904.90; 2.20–6.103.40; 2.30–10.70
CD71+ 0.091
 Mean ± SD5.70 ± 9.981.80 ± 0.7115.65 ± 23.69
 Median; min.–max.3.0; 0.1–71.01.90; 0.8–2.804.95; 1.6–51.1

B cell surface antigens
HLA-DR+ 0.368
 Mean ± SD30.47 ± 10.0528.06 ± 5.8137.22 ± 16.46
 Median; min.–max.29.2; 2.20–60.2026.4; 20.6–36.033.6; 21.80–59.90
CD19+ 0.468
 Mean ± SD11.66 ± 4.8112.74 ± 4.779.40 ± 3.84
 Median; min.–max.11.70; 1.0–24.8010.90; 8.90–20.809.95; 4.90–12.80
HLA-DR+CD19+ 0.559
 Mean ± SD10.80 ± 4.8012.22 ± 4.708.20 ± 3.34
 Median; min.–max.10.70; 0.30–24.7010.40; 8.70–20.1050; 4.60–11.20

NKT cells surface antigens
CD3+CD16+CD56+ 0.027
 Mean ± SD3.31 ± 3.261.54 ± 0.781.92 ± 1.30
 Median; min.–max.2.20; 0.20–20.501.20; 0.90–2.801.95; 0.70–3.10

NK cells surface antigens
CD3CD16+CD56+ 0.523
Mean ± SD12.92 ± 8.0613.56 ± 5.2816.87 ± 1.83
Median; min.–max.12.80; 0.10–39.8013.60; 7.30–21.5017.55; 2.20–30.20
Table 4

The mean value of all cell surface antigens according to histopathological stage.

Histopathological stagePatchPlaqueTumor P value
n 1015012
T cells surface antigens
CD3+ 0.000↑
 Mean ± SD71.26 ± 7.7275.16 ± 9.1288.90 ± 7.68
 Median; min.–max.71.50; 51.30–89.1076.30; 48.70–92.2088.80; 75.40–98.70
CD4+ 0.000↑
 Mean ± SD44.56 ± 8.3247.22 ± 12.0377.76 ± 15.58
 Median; min.–max.44.50; 28.30–73.6047.60; 20.60–66.2079.60; 55.50–97.50
CD8+ 0.016↓
 Mean ± SD24.24 ± 9.3225.99 ± 10.527.98 ± 8.56
 Median; min.–max.22.25; 9.40–73.3024.75; 11.40–66.303.80; 0.50–22.50
CD4+/CD8+ 0.005↑
 Mean ± SD2.18 ± 1.162.89 ± 5.2343.41 ± 55.33
 Median; min.–max.1.90; 0.20–7.801.80; 0.30–35.3019.20; 2.50–183.20
TCRαβ + 0.000↑
 Mean ± SD66.63 ± 8.1469.26 ± 8.2286.39 ± 8.43
 Median; min.–max.67.70; 46.10–87.1069.25; 45.80–86.5085.10; 73.80–98.0
TCRγδ + 0.006↓
 Mean ± SD4.35 ± 2.974.26 ± 2.751.28 ± 4.43
 Median; min.–max.3.60; 0.60–13.603.35; 0.50–11.201.20; 0.10–10.0
CD7+ 0.044↓
 Mean ± SD76.68 ± 10.2871.99 ± 9.3273.05 ± 27.14
 Median; min.–max.78.15; 2.80–93.1072.20; 44.50–87.073.60; 11.70–98.0
CD4+CD7+ 0.003↑
 Mean ± SD38.91 ± 8.4835.89 ± 8.2251.34 ± 27.20
 Median; min.–max.9.65; 13.40–54.5035.3; 16.0–53.1048.70; 9.60–96.50
CD4+CD7 0.000↑
 Mean ± SD7.10 ± 6.7610.17 ± 7.9427.70 ± 28.06
 Median; min.–max.5.0; 1.0–51.307.40; 2.20–35.9020.80; 0.50–88.90
CD71+ 0.000↑
 Mean ± SD4.47 ± 7.773.94 ± 4.6622.21 ± 21.28
 Median; min.–max.2.60; 0.10–71.02.40; 0.30–23.113.20; 3.60–57.70

B cells surface antigens
HLA-DR+ 0.000↓
 Mean ± SD31.10 ± 9.7632.49 ± 7.3917.69 ± 12.73
 Median; min.–max.28.45; 11.40–60.2031.80; 18.80–50.4016.30; 2.20–43.70
CD19+ 0.020↓
 Mean ± SD11.55 ± 4.7412.84 ± 4.448.11 ± 5.29
 Median; min.–max.11.40; 1.50–24.8012.75; 4.70–22.5010.0; 15.70
HLA-DR+CD19+ 0.041↓
 Mean ± SD10.79 ± 4.6511.87 ± 4.366.80 ± 5.86
 Median; min.–max.10.65; 1.20–24.7011.95; 2.90–20.507.80; 0.30–15.50

NKT cells surface antigens
CD3+CD16+CD56+ 0.000↓
 Mean ± SD3.38 ± 3.463.61 ± 3.011.60 ± 1.86
 Median; min.–max.2.10; 0.20–20.502.55; 0.50–12.300.90; 0.20–6.20

NK cells surface antigens
CD3CD16+CD56+ 0.000↓
 Mean ± SD14.82 ± 8.1411.73 ± 6.302.20 ± 2.35
 Median; min.–max.14.40; 2.60–39.8011.50; 2.10–35.801.50; 0.10–8.0

↓: decreasing with stage; ↑: increasing with stage.

Table 5

The mean values of all cell surface antigens according to clinical stage.

Clinical (T) stageT1 T2 T3 T4 P value
n 4795616
T cells surface antigens
CD3+ 0.000↑
 Mean ± SD73.93 ± 7.0771.31 ± 9.0188.41 ± 8.6777.25 ± 17.64
 Median; min.–max.74.50; 62.30–92.6071.80; 48.70–96.5087.70; 79.10–98.7085.35; 43.60–93.20
CD4+ 0.000↑
 Mean ± SD44.63 ± 9.4244.49 ± 8.6075.18 ± 19.3160.27 ± 24.06
 Median; min.–max.44.70; 15.30–66.2044.70; 20.60–63.9074.35; 55.50–97.5065.20; 15.80–92.30
CD8+ 0.005↓
 Mean ± SD26.75 ± 10.5624.12 ± 9.3611.41 ± 10.3214.23 ± 9.68
 Median; min.–max.23.20; 14.10–73.3023.45; 9.40–66.3011.60; 0.50–22.5015.10; 1.50–32.60
CD4+/CD8+ 0.000↑
 Mean ± SD2.7 ± 5.162.19 ± 1.2151.10 ± 74.4613.97 ± 20.21
 Median; min.–max.1.90; 0.20–35.301.80; 0.30–7.8010.35; 2.50–183.203.90; 0.60–61.50
TCRαβ + 0.000↑
 Mean ± SD68.99 ± 7.4266.68 ± 8.2886.65 ± 9.4871.68 ± 17.65
 Median; min.–max.68.60; 50.0–87.1068.0; 45.80–86.086.3; 76.90–98.076.0; 42.0–93.70
TCRγδ + 0.011↓
 Mean ± SD5.19 ± 3.303.95 ± 2.631.66 ± 0.922.35 ± 2.66
 Median; min.–max.4.40; 0.80–13.603.25; 0.50–11.202.10; 0.40–2.601.45; 0.10–10.0
CD7+ 0.001↓
 Mean ± SD77.89 ± 6.3374.19 ± 11.3379.63 ± 15.6561.73 ± 21.63
 Median; min.–max.78.20; 58.60–93.1076.10; 2.80–89.3077.75; 54.70–98.066.50; 11.70–83.0
CD4+CD7+ 0.859↑
 Mean ± SD38.91 ± 8.2637.25 ± 8.4164.85 ± 23.5237.67 ± 17.19
 Median; min.–max.40.10; 13.40–53.1037.05; 16.0–53.6054.30; 42.50–96.5035.45; 9.60–71.30
CD4+CD7 0.002↑
 Mean ± SD7.71 ± 7.757.81 ± 6.4011.40 ± 16.1724.02 ± 25.18
 Median; min.–max.5.70; 1.70–51.305.20; 1.0–35.904.65; 0.50–42.5015.75; 2.30–88.90
CD71+ 0.002↑
 Mean ± SD3.31 ± 2.784.79 ± 8.3914.36 ± 15.7117.45 ± 21.59
 Median; min.–max.2.50; 0.3–11.303.0; 0.10–71.07.80; 3.60–44.606.50; 1.4–57.70

B cells surface antigens
HLA-DR+ 0.001↓
 Mean ± SD29.46 ± 8.7932.37 ± 9.1121.56 ± 15.7628.15 ± 15.30
 Median; min.–max.27.50; 19.60–56.4031.10; 11.40–60.2022.0; 3.80–43.7025.60; 2.20–59.90
CD19+ 0.021↓
 Mean ± SD11.37 ± 3.9612.48 ± 4.898.13 ± 6.418.67 ± 4.37
 Median; min.–max.11.70; 1.50–19.1011.95; 3.20–24.806.80; 1.0–15.708.50; 2.30–18.10
HLA-DR+CD19+ 0.030↓
 Mean ± SD10.53 ± 3.9211.64 ± 4.796.78 ± 7.177.72 ± 4.31
 Median; min.–max.10.60; 1.20–17.8011.20; 2.90–24.704.75 ± 0.30–15.506.95; 0.40–17.40

NKT cells surface antigens
CD3+CD16+CD56+ 0.006↓
 Mean ± SD3.46 ± 3.103.57 ± 3.502.06 ± 2.121.50 ± 1.16
 Median; min.–max.2.50; 0.30–16.602.25; 0.20–20.501.60; 0.20–6.201.25; 0.20–3.80

NK cells surface antigens
CD3CD16+CD56+ 0.000↓
 Mean ± SD13.28 ± 6.3414.34 ± 8.302.90 ± 2.928.86 ± 9.84
 Median; min.–max.13.10; 2.6013.60; 2.10–39.802.70; 0.10–8.03.30; 0.10–30.20

↓: decreasing with stage; ↑: increasing with stage.

When MF patients were examined in two groups as stable and progressive, all cell surface antigens except CD4+CD7− cells may play a role in determining the progression. According to ROC curve analysis results, flow cytometric results suggestive of disease progression were as follows: mean CD3+ cell percentage >79.1; mean CD4+ cell percentage >49.2; mean CD8+ cell percentage ≤5.2; CD4+/CD8+ percentage >2.4; mean TCRαβ + cell percentage >73.1; TCRγδ + cell percentage ≤ 2.4; CD7+ cell percentage ≤48; CD4+CD7+ cell percentage >47.8; CD4+CD7− cell percentage >9.4; CD71+ cell percentage >3.4; HLA-DR+ cell percentage ≤23.1; CD19+ cell percentage ≤6; HLA-DR+CD19+ cell percentage ≤5; CD3+CD16+CD56+ cell percentage ≤1; CD3CD16+CD56+ cell percentage ≤9.9 in peripheral blood at any time (Table 6).
Table 6

ROC curve analysis of the investigated cell surface antigens to predict the cut-off value.

Cell surface antigenCut-off value criterion Area under curve P valueSensitivity (95% CI)Specificity (95% CI)
T cells surface antigens
CD3+ >79.1 0.8590.00187.50 (61.6–98.1)84.56 (22.5–55.2)
CD4+ >49.2 0.8800.00187.50 (61.6–98.1)84.56 (77.7–90.0)
CD8+ ≤5.2 0.8350.00162.5 (35.5–84.7)98.66 (95.2–99.8)
CD4+/CD8+ >2.4 0.8730.00193.75 (69.7–99.0)69.80 (61.70–77.0)
TCRαβ + >73.1 0.8870.00192.86 (66.1–98.8)72.29 (71.6–85.7)
TCRγδ + ≤2.4 0.8470.00185.71 (57.2–97.8)73.38 (65.2–80.5)
CD7+ ≤480.6470.03678.57 (49.2–95.1)50.74 (42.0–59.4)
CD4+CD7+ >47.80.6800.02850 (23.1–76.9)89.51 (83.3–94.0)
CD4+CD7 >9.40.6600.05364.29 (35.2–87.1)82.27 (74.9–88.2)
CD71+ >3.4 0.8310.00192.86 (66.1–98.8)63.43 (54.7–71.6)

B cells surface antigens
HLA-DR+ ≤23.1 0.7340.00156.25 (26.9–80.2)97.3 (93.2–99.2)
CD19+ ≤6 0.6910.00143.75 (19.8–70.1)89.86 (83.8–94.2)
HLA-DR+CD19+ ≤5 0.7230.00156.25 (29.9–80.2)85.14 (78.4–90.4)

NKT cells surface antigens
CD3+CD16+CD56+ ≤10.6490.02368.75 (41.4–88.9)62.16 (53.8–70.0)

NK cells surface antigens
CD3CD16+CD56+ ≤9.9 0.8690.00175.0 (47.6–92.6)92.52 (87.0–96.2)

4. Discussion

The diagnosis of MF remains a challenging area in dermatopathology and conclusive diagnosis is often difficult, necessitating the terms “diagnostic of,” “consistent with,” and “suggestive of” to describe the disease and histopathologic finding needs to be confirmed with the immunohistochemical studies with some limitations in between [9]. The cluster of differentiation (termed as Cluster of Designation or Classification Determinant) (CD) is a protocol used for the identification and investigation of cell surface molecules for immunophenotyping of cells. The use of combining markers has allowed more specific definitions for cell types within the immune system than one molecule [10, 11]. Previous studies using flow cytometry to analyze skin biopsy specimens for the diagnosis of CTCL and MF have been performed and reported that flow cytometry is a highly sensitive and specific diagnostic test for MF [4, 12, 13]. In addition to skin biopsy specimens, flow cytometric analysis has proven to be an efficient and sensitive method to detect and enumerate MF/SS cells in the peripheral blood [3, 14, 15]. Depending on the degree of differentiation of neoplastic cells one or more altered expressions of T cell related antigens including CD2+, CD3+, CD4+, CD7+, or CD26+, were identified in 92% of cases as positive for malignant T cell clones, with loss of CD26+ being the most common (70%), and CD56+ cases have been reported [16, 17]. However, increased CD26+ cells, or CD7+ cells, and even altered expression levels of other more specific T cell markers, such as CD3+ and CD4+, were also observed in nonneoplastic samples. That loss or dim expression of CD7 and CD26 can be found in patients with benign inflammatory dermatoses and aberrant dim CD3 can be observed in nonneoplastic T cells [4]. Flow cytometric studies of the peripheral blood may show expansion of the CD4+CD7− population reflective of circulating atypical lymphocytes of Sezary type [18]. Lymphoma cells in the peripheral blood, especially at high levels, have been recognized as an independent adverse prognostic indicator in patients with mycosis fungoides, and the International Society for Cutaneous Lymphomas and the Cutaneous Lymphoma Task Force of European Organization for Research and Treatment of Cancer revised the mycosis fungoides/Sezary syndrome staging criteria in 2007 to incorporate blood (B) involvement as a major prognostic factor and defined the criteria for B-staging. Natural Killer activity of peripheral blood mononuclear cells in patients with MF was investigated with controlled study and revealed that patients with advanced disease had a significant defect of Natural Killer activity [19]. T cell lymphomas with aberrant CD20 (B cell surface antigen) expression, associated with worse prognosis, have been reported [20-22]. Hristov et al. reported that changes in abnormal populations parallel changes in patient's clinical course and increasing numbers of abnormal T cells were associated with worsening disease, and authors suggested that flow cytometry provides valuable information for diagnosis, prognosis, and therapeutic efficacy in MF/SS [23]. To the best of our knowledge this is the largest study to assess the prognostic role and clinical utility of flow cytometry in patients with MF. Peripheral blood samples as a diagnostic and tool for MF. Although, in cases of plaque or tumoral stage of MF, immunophenotypical abnormalities are significant, the significance of flow cytometric analysis in early stage MF is limited. Our findings suggest that T cell phenotype affects the clinical behaviour of MF compatible with the previous reports.

5. Conclusion

We concluded that flow cytometric analysis of peripheral blood cell surface antigens in patients with mycosis fungoides may contribute to identifying an advanced stage and predicting the disease progression. Flow cytometry is less time consuming and is prognostic tool for the management of MF.
  22 in total

1.  Contribution of flow cytometry in the diagnosis of cutaneous lymphoid lesions.

Authors:  Hong Wu; Mitchell Smith; Michael M Millenson; Nicos Nicolaou; Vivianna M Van Deerlin; Kathkali Addya; Stuart Lessin; Tahseen Al-Saleem
Journal:  J Invest Dermatol       Date:  2003-12       Impact factor: 8.551

2.  Utility of flow cytometry immunophenotyping and DNA ploidy studies for diagnosis and characterization of blood involvement in CD4+ Sézary's syndrome.

Authors:  Margarida Lima; Julia Almeida; Maria dos Anjos Teixeira; Maria Luís Queiros; Ana Helena Santos; Sónia Fonseca; Ana Balanzategui; Benvindo Justica; Alberto Orfao
Journal:  Haematologica       Date:  2003-08       Impact factor: 9.941

Review 3.  Primary cutaneous peripheral T-cell lymphoma with aberrant coexpression of CD20: case report and review of the literature.

Authors:  Nicole N Balmer; Lauren Hughey; Klaus J Busam; Vishnu Reddy; Aleodor A Andea
Journal:  Am J Dermatopathol       Date:  2009-04       Impact factor: 1.533

4.  CD molecules 2006--human cell differentiation molecules.

Authors:  Heddy Zola; Bernadette Swart; Alison Banham; Simon Barry; Alice Beare; Armand Bensussan; Laurence Boumsell; Chris D Buckley; Hans-Jörg Bühring; Georgina Clark; Pablo Engel; David Fox; Bo-Quan Jin; Peter J Macardle; Fabio Malavasi; David Mason; Hannes Stockinger; Xifeng Yang
Journal:  J Immunol Methods       Date:  2006-12-04       Impact factor: 2.303

5.  Skin-resident CD4+ T cells express NK receptors: lessons from skin pathologies.

Authors:  Anna E S Brooks
Journal:  Cytometry A       Date:  2014-07-18       Impact factor: 4.355

Review 6.  A simple guide to the terminology and application of leucocyte monoclonal antibodies.

Authors:  J K Chan; C S Ng; P K Hui
Journal:  Histopathology       Date:  1988-05       Impact factor: 5.087

Review 7.  Mycosis fungoides and the Sézary syndrome: pathology, staging, and treatment.

Authors:  R T Hoppe; G S Wood; E A Abel
Journal:  Curr Probl Cancer       Date:  1990 Nov-Dec       Impact factor: 3.187

8.  Flow cytometric immunophenotyping of peripheral T cell neoplasms using CD3 gating.

Authors:  Satoshi Hara; Taiji Yokote; Toshikazu Akioka; Takuji Miyoshi; Toshiyuki Ikemoto; Hidema Tanaka; Takayuki Takubo; Motomu Tsuji; Toshiaki Hanafusa
Journal:  Acta Haematol       Date:  2009-03-16       Impact factor: 2.195

9.  Primary cutaneous small/medium CD4+ T-cell lymphomas: a heterogeneous group of tumors with different clinicopathologic features and outcome.

Authors:  Adriana Garcia-Herrera; Luis Colomo; Mireia Camós; Joaquín Carreras; Olga Balague; Antonio Martinez; Armando Lopéz-Guillermo; Teresa Estrach; Elias Campo
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

10.  Stage-related decrease in natural killer cell activity in untreated patients with mycosis fungoides.

Authors:  S Levy; J L Tempé; P Caussade; A Aleksijevic; E Grosshans; S Mayer; J M Lang
Journal:  Cancer Immunol Immunother       Date:  1984       Impact factor: 6.968

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  2 in total

1.  Role of Demyelination Efficiency within Acellular Nerve Scaffolds during Nerve Regeneration across Peripheral Defects.

Authors:  Meiqin Cai; Tengchao Huang; Bo Hou; Ying Guo
Journal:  Biomed Res Int       Date:  2017-03-21       Impact factor: 3.411

Review 2.  Flow cytometry for the assessment of blood tumour burden in cutaneous T-cell lymphoma: towards a standardized approach.

Authors:  Maarten H Vermeer; Helene Moins-Teisserenc; Martine Bagot; Pietro Quaglino; Sean Whittaker
Journal:  Br J Dermatol       Date:  2022-05-03       Impact factor: 11.113

  2 in total

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