Literature DB >> 26557777

Comparative study of various subpopulations of cytotoxic cells in blood and ascites from patients with ovarian carcinoma.

Sarka Lukesova1, Vladimira Vroblova2, Jindrich Tosner3, Jindrich Kopecky4, Iva Sedlakova3, Eva Čermáková5, Doris Vokurkova3, Otakar Kopecky6.   

Abstract

AIM OF THE STUDY: A number of observations have indicated that the immune system plays a significant role in patients with epithelial ovarian cancer (EOC). In cases of EOC, the prognostic significance of tumour infiltrating lymphocytes has not been clearly explained yet. The aim is to determine the phenotype and activation molecules of cytotoxic T cell and NK cell subpopulations and to compare their representation in malignant ascites and peripheral blood in patients with ovarian cancer.
MATERIAL AND METHODS: Cytotoxic cells taken from blood samples of the cubital vein and malignant ascites were obtained from 53 patients with EOC. Their surface and activation characteristics were determined by means of a flow cytometer. Immunophenotype multiparametric analysis of peripheral blood lymphocytes (PBLs) and tumour infiltrating lymphocytes (TILs) was carried out.
RESULTS: CD3(+) T lymphocytes were the main population of TILs (75.9%) and PBLs (70.9%). The number of activating T cells was significantly higher in TILs: CD3(+)/69(+) 6.7% vs. 0.8% (p < 0.001). The representation of (CD3(-)/16(+)56(+)) NK cells in TILs was significantly higher: 11.0% vs. 5.6% (p = 0.041); likewise CD56(bright) and CD-56(bright) from CD56(+) cells were higher in TILs (both p < 0.001). The activation receptor NKG2D was present in 45.1% of TILs vs. 32.3% of PBLs (p = 0.034), but we did not find a significant difference in the numbers of CD56(+)/NKG2D(+) in TILs and PBLs.
CONCLUSIONS: These results prove that the characteristics and intensity of anti-tumour responses are different in compared compartments (ascites/PBLs). The knowledge of phenotype and functions of effector cells is the basic precondition for understanding the anti-tumour immune response.

Entities:  

Keywords:  NK cells; NKG2D; flow cytometry; ovarian cancer; tumour-infiltrating lymphocytes

Year:  2015        PMID: 26557777      PMCID: PMC4631306          DOI: 10.5114/wo.2015.54388

Source DB:  PubMed          Journal:  Contemp Oncol (Pozn)        ISSN: 1428-2526


Introduction

Epithelial ovarian cancer is the fifth leading cause of cancer-related death in women [1]. This disease is manifested by vague clinical symptoms and the fact that specific diagnostic molecular markers are missing. Most patients are diagnosed at an advanced stage with limited therapeutic options. Chemotherapeutic strategies usually achieve only a partial response, and therefore it is necessary to seek other therapeutic options. Immunotherapy of ovarian tumours is considered one of the possible modalities for use in a primary or consolidation approach [2]. The central effector role of T cytotoxic lymphocytes and natural killer (NK) cells in an anti-tumour response is well known [3-6]. However, objective findings indicate that tumour cells grow in the presence of mononuclear cell infiltration. These studies suggest that tumour-associated lymphocytes are not capable of evoking an effective immune response [7]. It is clear that the plasticity of tumour cells in changing the expression of cell-surface molecules, for example downregulation of human leukocyte antigen (HLA) molecules, or low density or even absence of tumour-specific antigens, is an important cause of the failure of the anti-tumour response. Cytotoxicity of T cells depends on the expression of HLA class I molecules. These properties mediate a negative effect on immune surveillance. Tumours can also fail to present their antigens owing to defects in the intracellular peptide transporter TAP or in the components of immunoproteasome genes [8-10]. Besides the insufficient tumour immune response due to alteration of the processing cascade of a specific antigen, a great number of studies document the direct suppressive effect of the tumour environment on cytotoxic lymphocyte effectiveness [11]. Although cancer stroma lymphocyte infiltrations are present in the majority of human neoplasms, these lymphocytes are mostly functionally defective, incompletely activated and anergic [3]. Through the downregulation of activation and proliferation of tumour-specific cytotoxic T lymphocytes and NK cells, cancers are able to overcome immune surveillance. Incompletely activated tumour infiltrating lymphocytes (TILs) and cancer cells produce chemokines that are chemoattractants for other leukocytes and regulate their migration into tumour stroma. The prognostic significance of TILs has been recently recognized in various neoplasms. In epithelial ovarian cancer, most of the studies performed in paraffin-embedded tissue have shown that the presence of TILs is an independent favourable prognostic factor. Numerous investigators have reported that TILs obtained from patients with ovarian carcinoma contain activated cytotoxic T lymphocytes and NK cells, which were subsequently ex vivo cultivated with a low concentration of IL-2. In these instances, the CD8 T cell, TcR positive and NK cell population expanded, and the cells exhibited primarily autologous tumour cell cytotoxicity [4, 12, 13]. The presence of ascites in advanced stages of ovarian cancer offers a unique opportunity to obtain tumour-associated lymphocytes (TALs) directly from the site of a malignant process. There is still limited data about the prognostic significance of cytotoxic T cells and NK cell subtypes freshly isolated from a tumour or ascites [17, 18]. But some studies show that TALs may play an important role in the immune response against tumours [17]. For the above reasons, we began to study prospectively the population of cytotoxic cells in ascites associated with epithelial ovarian cancer concomitantly with peripheral blood lymphocytes. Here, we present the results of a flow cytometric phenotype analysis of both cytotoxic T cells and NK cell subtypes and their activation molecules in ascitic fluid and peripheral blood. Due to our better knowledge we have used a brighter spectrum of activation markers than before.

Material and methods

Patients

Ascites and peripheral blood were obtained from 53 patients with diagnosed ovarian cancer or patients undergoing surgery for suspected ovarian cancer prior to neo-adjuvant, adjuvant or palliative chemotherapy. The study was carried out between January 2006 and 2013 at the University Hospital Hradec Králové, Czech Republic. Inclusion in the study was confirmed after a histopathologic diagnosis of invasive epithelial ovarian carcinoma (Table 1). All patients gave their written informed consent prior to their participation in the study. The study was approved by the Institutional Review Committee. The median age of the patients was 64 (range 40–83). In 38 patients (71%), a radical operation was performed, although only 11 of them (29%) received neo-adjuvant chemotherapy. The most frequent tumour stage was FIGO IIIc (60%); in our group there were only four patients (7%) with metastatic disease. Most of the patients received at least one chemotherapy line; only 12 patients (22%) did not start any chemotherapy due to their altered clinical performance. The most usual chemotherapy was based on paclitaxel and carboplatin; the other cytostatic agents used during therapy were topotecan, cisplatin and gemcitabine. The time to first progression (measured from time of diagnosis to relapse after the first line treatment and/or surgery) was 154 days (0–1711), and in 18 patients (34%) no progression had occurred at follow-up. The median survival in our group was 1996 days (25–2563) and at the end of follow-up on 1st January 2013, 22 (41%) were still alive.
Table 1

Clinical and histopathological characteristics of patients with ovarian carcinoma

Patient numberAge (years)FIGO classificationHistologyGradeRadical surgery Yes/NoNeoadjuvant treatment Yes/NoNumber of treatment linesTime to first progression (days)Overall survival (days)
160IIICserous1noyes3343986
256IIICserous2yesyes202315
353IIICserous3yesno57192267
462IIICserous3yesyes39931367
551IVserous3nono1no134
655IIICserous3yesyes56402374
747IICserous3yesno512112395
869IIICserous3nono2217754
962IIICserous2yesno002228
1065IIICserous3yesno44892093
1161IIICserous3yesyes102262
1270IIICserous3yesyes55891321
1374IAunodifferentiated2yesno002492
1469IIICendometrioid2yesyes2452615
1569ICendometrioid3yesno102190
1671IVserous3nono1no89
1764IIICserous3yesno2580963
1882IIICendometrioid3yesno10338
1964IIICserous3yesyes2450529
2055IIIAendometrioid2yesno59381222
2151IIICundifferentiated3yesno202169
2278IIIBserous3nono1NO267
2365IIICserous3yesno102116
2483IIICendometrioid2nono2377583
2540IIIAserous1yesno102499
2664IIICserous1yesno102190
2751IVserous3yesno102563
2871IIICserous3yesyes48542041
2957IBendometrioid2yesno102116
3074IIIAserous3nono41022081
3167IIICserous3nono0no28
3279IIICserous3nono0no63
3377IIICendometrioid2nono0no54
3456IIIAserous3yesno57031996
3572IIICundifferentiated3nono0114707
3661IIICserous3yesno002224
3771IIICmucinous3yesno3185593
3859Iamucinous2yesno32792268
3956IIIBserous3yesno002002
4054IIIAendometrioid3yesno14281761
4172IIIAundifferentiated3yesno102122
4261IIIBundifferentiated3yesno0131907
4374IIICserous3yesno102190
4466IIIBendometrioid2yesyes54401596
4572IIIbmucinous3nono0no25
4668IIICundifferentiated3nono0no53
4748IIIAserous2yesno102105
4866IIICserous2yesno102122
4972IIICendometrioid3yesyes2259589
5061IVserous3nono0no130
5166IIICserous2nono0no53
5262IIICserous3yesno117112240
5359IIICserous3yesyes31542292
Clinical and histopathological characteristics of patients with ovarian carcinoma

Methods

Heparinized test tubes were used to collect peripheral blood from the cubital vein. The malignant ascites were obtained via open surgery, laparoscopy or paracentesis before chemotherapy in tubes with a heparin solution in a final concentration of 25 U/ml. The ascitic fluids were centrifuged at 1000 rpm for 10 minutes at 4°C. Isolated cells were twice washed and diluted to an approximate concentration of 5 × 105 cells. The samples were processed up to 2 hours after their sampling. Each time, 25 μl of heparinized blood and cellular suspension were incubated for 20 minutes in the dark at room temperature with 10 μl of diluted conjugated monoclonal antibodies (Immunotech and Beckman Coulter). The combinations were as follows: CD45-FITC/CD14-PE (for gating), CD3-FITC/CD16/56-PE/CD19-PC5, CD45RO-FITC/CD45RA-PE/CD4-PC5, CD8-FITC/DR-PE/CD3-PC5, CD69-FITC/CD25-PE/CD3-PC5, CD57-FITC/TcRαβ-PE/CD8-PC5, CD8-PC5/CD56-PE/NKG2D-FITC and CD3-FITC/CD8-PC5/TcRγδ-PE. After lysing erythrocytes with a lysing solution (0.5 ml of OptiLyse C, Beckman Coulter), a buffer was added with 0.5% foetal calf and 0.01% sodium azide. The measurement was carried out by means of a three-colour fluorescence Coulter Epics XL flow cytometer (the Coulter Company, Fullerton, USA). At least 5000 gated events were analysed. Subpopulations were measured as a percentage of the total number of CD45-positive cells (and the total number of CD3-positive cells). The expression of activation markers CD69, HLA-DR and CD25 molecules was assessed on gated CD3 positive cells by plotting CD4 or CD8 positive cells vs. the given activation markers. The evaluation of measured samples was carried out by means of CPX analysing software (Fig. 1). The results were calculated from the data of 53 patients suffering from EOC.
Fig. 1

Representative dot plots gating for ascitic fluid and peripheral blood; identification of cell populations and expression of various markers from CD45+ cells. (A) Side Scatter (SS) vs. Forward Scatter (FS) plot for identification of leukocytes; (B) Identification of CD45+ lymphocytes; and (C) identification of CD45+CD14– lymphocytes; (D-K) Representative dot plots for each monoclonal antibody used in study

Representative dot plots gating for ascitic fluid and peripheral blood; identification of cell populations and expression of various markers from CD45+ cells. (A) Side Scatter (SS) vs. Forward Scatter (FS) plot for identification of leukocytes; (B) Identification of CD45+ lymphocytes; and (C) identification of CD45+CD14– lymphocytes; (D-K) Representative dot plots for each monoclonal antibody used in study Statistical evaluation of the measured values was carried out by means of NCSS 2007 Statistica. The statistics were processed using standard methods for a statistical comparison of two groups. Normality value tests were unsuccessful in the evaluated cases; for this reason, the one-way ANOVA on ranks test was carried out to determine the level of statistical significance. The median was an indicator of the value position. Using Cox proportional-hazards regression, we observed the potential effect of acquired immunological parameters from ascitic fluid, both on the overall survival, and also on the length of time to first progression. Differences were considered significant at p < 0.05.

Results

The phenotype of cytotoxic cells was determined by means of the three-colour immunofluorescence method, and their representation in peripheral blood (PB) and ascites was compared. The both compartments exhibited a dominant CD3+ T lymphocyte population. The number of CD3+/CD69+ (activated) cells was significantly higher in ascites (p < 0.001). The CD8+ T lymphocyte count was significantly higher in ascites (p = 0.033). The CD8+ population was predominantly composed of CD3+/8+ T cells, which was significantly higher in ascites (p = 0.012). The number of CD8+/DR+ lymphocytes was higher in ascites (p < 0.001). The relative count of CD4+ T lymphocytes did not differ in between the two compartments. The number of B lymphocytes CD19+ was significantly higher in peripheral blood (p = 0.009). The results of the analysis are presented in Table 2.
Table 2

Phenotyping analysis of CD45 positive cells from peripheral blood and malignant ascites from 53 patients with ovarian cancer

Cell populationPeripheral blood (%)Ascites (%) p
CD3+70.9 (61.8–75.1)75.0 (71.1–82.4)0.097
CD3+/CD69+0.8 (0.2–2.1)6.7 (4.5–15.2)< 0.001
CD3+/CD25+4.9 (3.6–5.8)3.7 (2.4–5.3)0.381
CD3+/DR+1.4 (0.7–2.8)4.0 (1.1–7.0)0.068
CD3+/CD4+48.7 (39.1–57.1)49.1 (34.1–52.0)0.446
CD4+/45RA+8.5 (2.7–11.0)2.6 (1.3–5.7)0.007
CD4+/45RO+30.6 (19.2–34.2)37.7 (25.3–45.1)0.013
CD8+21.1 (15.7–24.8)30.0 (20.3–36.6)0.033
CD3+/CD8+19.1(17.1–20.8)28.7 (16.8–33.2)0.012
CD3/8+2.9 (1.2–6.5)3.9 (3.0–4.9)0.205
CD8+/DR+0.6 (0.3–1.4)2.3 (0.7–5.3)<0.001
CD+/CDaβ+25.6 (8.837.4 (19.9–52.6)0.065
CD8+/CDγδ+0.5 (0.2–2.5)0.4 (02–0.8)0.698
CD8+/CD57+3.8 (2.7–6.9)1.3 (0.5–8.1)0.235
CD19+10.6 (7.8–16.7)6.8 (4.1–8.6)0.009
Phenotyping analysis of CD45 positive cells from peripheral blood and malignant ascites from 53 patients with ovarian cancer The results of NK cell analysis are presented in Table 3. Under physiological conditions, NK lymphocytes represent 10–15% of the lymphocytic population [14]. In patients with advanced EOC, counts of NK cells in peripheral blood (5.6%) were significantly lower (p = 0.041) than those in ascites (11.0%). In both samples, NK cells were gated from the mononuclear CD45+/CD3– population. The CD56bright subpopulation was determined in the lymphocyte and NK cell population. In both cases, significantly higher representation of CD56bright NK cells was ascertained in the ascitic fluid. In contrast, the representation of CD56dim CD16+ NK cells was significantly higher in peripheral blood. No differences were found in the expression of the natural-killer group 2, member D (NKG2D) activation receptor in the population of NK cells; a significantly higher count of lymphocytes isolated from ascites was expressed by the NKG2D receptor (p = 0.034).
Table 3

Expression of membrane molecules on the NK cell subsets

Cell populationPeripheral blood (%)Ascites (%)Significance
CD3/CD16+/CD56+5.6 (2.7–10.7)11.0 (7.1–12.5)0.041
CD3+/CD16+/CD56+5.5 (1.2–7.2)3.1 (0.6–4.8)0.080
CD3/CD56+11.7 (7.7–13.8)12.9 (5.1–15.5)n.s.
CD3/CD16+8.2 (3.1–12.5)12.1 (7.8–15.1)0.036
CD56/CD16+2.1 (0.6–4.8)1.5 (0.2–3.9)n.s.
CD56bright2.5 (1.9–7.4)10.3 (7.0–25.65)< 0.001
CD56bright from CD56+45.9 (31.5–73.5)83.2 (53.7–92.4)< 0.001
CD56bright 16 1.9 (0.9–5.8)8.25 (3.8–16.3)< 0.001
CD56dim 16+4.4 (1.4–7.8)1.7 (0.6–6.9)0.021
NKG2D+32.3 (25.2–37.6)45.05 (30.9–58.1)0.034
NKG2D+ from CD56+89.9 (85.0–93.1)91.0 (86.5–95.0)n.s.
CD8+/CD56+5.8 (3.2–9.5)7.7 (3.75–10.55)n.s.

n.s. – not significant

Expression of membrane molecules on the NK cell subsets n.s. – not significant Influence of various immunological cells in ascitic fluids on time to first progression using multivariate model with coefficient of determination of 0.49 with a significance level of p < 0.007 Influence of various immunological cells in ascitic fluids on overall survival using multivariate model with coefficient of determination of 0.65 with a significance level of p < 0.001 The influence of various immunological cells in ascitic fluid on overall survival was calculated with a multivariate model using a coefficient of determination of 0.65 with a significance level of p < 0.001 (Tables 4, 5). The presence of lymphocytes with the surface marker CD4 in ascitic fluid led to an increased risk of death with a hazard ratio (HR) of 1.2127 (95% CI: 1.0384–1.4162). When all the lymphocyte subsets were examined, we found that the presence of CD3–/CD16+/CD56+ and CD43+/CD8+ lymphocytes in ascetic fluid indicated a reduced risk of death with an HR of 0.6917 (95% CI: 0.5434–0.8804) and 0.8449 (95% CI: 0.7534–0.9587), respectively. But in the case of CD3–/CD8+ and CD3+/CD16+/CD56+ lymphocytes, the trend was reversed, with an HR of 1.3139 (95% CI: 1.010–1.6909) and 1.3350 (95% CI: 1.0788–1.6520), respectively. For other cell subsets no impact on survival was found.
Table 4

Influence of various immunological cells in ascitic fluids on time to first progression using multivariate model with coefficient of determination of 0.49 with a significance level of p < 0.007

HR95% CI p
CD4+RO0.9960.911–1.0890.933
CD4+RA1.0980.912–1.3230.314
CD3+CD69+0.9860.896–1.0850.771
CD8+CD57+1.1570.796–1.6820.448
CD3+CD25+1.2880.903–1.8370.156
CD8+DR+0.8690.371–2.0370.748
CD3+DR+1.0570.510–2.1920.882
CD3+CD16+CD56+0.9450.668–1.3370.743
CD3CD16+CD56+0.9070.717–1.1470.406
CD3CD8+1.1600.904–1.4890.256
CD3+CD8+1.0110.900–1.1350.857
CD19+1.0850.943–1.2480.239
CD8+0.9820.892–1.0810.709
CD4+1.0160.930–1.1090.729
CD3+1.0600.957–1.1740.264
Table 5

Influence of various immunological cells in ascitic fluids on overall survival using multivariate model with coefficient of determination of 0.65 with a significance level of p < 0.001

HR95% CIp
CD4+RO0.9540.877–1.0370.272
CD4+RA1.0370.924–1.1640.539
CD3+CD69+1.0740.967–1.1930.173
CD8+CD57+1.0920.789–1.1530.596
CD3+CD25+0.8480.603–1.1920.330
CD8+DR+0.8970.332–2.4240.830
CD3+DR+1.0660.472–2.4110.878
CD3+CD16+CD56+1.3351.079–1.6520.014
CD3CD16+CD56+0.6920.543–0.8800.003
CD3CD8+1.3141.021–1.6910.044
CD3+CD8+0.8500.753–0.9590.002
CD19+1.0850.947–1.2430.225
CD8+1.0210.927–1.1230.674
CD4+1.2131.038–1.4160.010
CD3+1.0000.895–1.1190.995
In the case of the impact of the observed immunological cells in ascetic fluid on time to the first progression, we did not observe any correlation or impact.

Discussion

Ascites in cancer patients can reflect different pathogenic mechanisms of development. Peritoneal carcinomatosis is the most common cause of malignancy-related ascites, followed by massive liver metastases and the obstruction of lymph nodes and vessels. Lymphocytes present in the ascites were consistently referred to as TILs. In the case of malignancy-related ascites not associated with peritoneal carcinomatosis, the term “tumour-associated lymphocytes” (TALs) is much more suitable. Unfortunately, in individual cases it is difficult to identify prevailing mechanisms of ascites formation. The progression of cancer in the peritoneal cavity and the frequent formation of ascites, which characterize the advanced stage of ovarian cancer, make this tumour a model for the study of different lymphocytic populations [15]. Studies comparing the representation of cellular populations in tumour-induced ascites fluid with findings of ascites for other reasons can be reproduced and interpreted only with difficulty because no “normal” ascites exist. It is always a pathologic finding induced by some of the above-mentioned mechanisms that possesses an inflammatory component of various intensity, e.g. cirrhosis [16, 17]. The presence of tumour-infiltrating lymphocytes in the EOC stroma is important in terms of prognosis, which is confirmed by the outcomes of numerous studies [19, 20]. In our study, obtained data from Cox proportional-hazards regression describing the relationship between each immunological cellular subset and overall survival or time to progression needs to be interpreted with caution due to the heterogeneity of the studied population (Figs. 2, 3). But it shows that the presence of NK cells and cytotoxic T cells in ascitic fluid may play a positive role.
Fig. 2

Potential effect of various immunocompetent cells from ascitic fluid on overall survival calculated using Cox proportional-hazards regression model

Fig. 3

Potential effect of various immunocompetent cells from ascitic fluid on length of time to first progression calculated using Cox proportional-hazards regression model

Potential effect of various immunocompetent cells from ascitic fluid on overall survival calculated using Cox proportional-hazards regression model Potential effect of various immunocompetent cells from ascitic fluid on length of time to first progression calculated using Cox proportional-hazards regression model CD3+ T lymphocytes are the main cellular population situated at the site of the tumour as well as peripheral blood. The number of CD3+CD4+ lymphocytes dominated the CD3+/CD8+ lymphocytes and did not differ between the two compartments studied. This result is in compliance with a study by Bamias et al.; nevertheless, in the case of tumours of another origin, for instance a non-small-cell lung carcinoma or renal carcinoma, the representation of CD4+ and CD8+ lymphocytic subpopulations was different [17, 19, 21]. The number of CD4+/CD45RO+ lymphocytes in the ascites of our patients was significantly higher than in peripheral blood. Also, the ratio of CD4+ T lymphocytes which had undergone rearrangement of gene segments for TcR (CD45RO+) to naïve (CD45RA+) was higher in ascites. This finding can be considered proof of the activation of a specific cellular anti-tumour response [19]. CD4+ T lymphocytes play an ambivalent role in the anti-tumour response. The cytotoxic anti-tumour response is ensured by the Th1 subset, whereas the prevailing function of the Th2 subset is accompanied by the progression of tumours. The immune response of both Th1 and Th2 is accompanied by production of the following cytokines: interleukin-2 (IL-2), IL-12, interferon γ (IFN-γ), tumor necrosis factor α (TNF-α) (Th1 response), IL-3, IL-4, IL-10 and IL-13 (Th2 response) [22, 23]. In ascites, these cytokines can also be produced by tumour cells, and together with chemokines they are involved in the formation of a gradient determining the migration and function of leukocytes [24]. Despite the fact that the prognostic role of individual cytokines in tumours has been studied on a long-term basis, no explicit answer can be given to this question. An idea predominates in which cytokines strengthening the Th1 response are considered favourable in terms of prognosis [24]. The cytotoxic reaction as ensured by cytotoxic CD8+ T lymphocytes and NK cells is crucial for the achievement of an effective anti-tumour response. In the majority of CD3+ and CD8+ T lymphocytes, the receptor for antigen (TcR) is created by the αβ heterodimer, and the relationship between TcR αβ and TcRγδ lymphocytes is the same both in the peripheral blood and in ascites [25, 26]. Our findings, along with those from experimental studies, have indicated that the specific anti-tumour response is not restricted by the TcR type [27, 28]. The relative count of CD3+/8+ lymphocytes was significantly higher in ascites. Under physiological conditions, the CD8+ population expressing the CD56 and CD57 molecule (NK type of T lymphocytes) is a minority population in peripheral blood; however, its presence is higher in lymphatic nodes, the spleen and bone marrow. The NK type CD8+ of lymphocytes exhibits an oligoclonal expansion Vβ of the TcR chain different from other CD8+ T lymphocytes after antigenic stimulation. Based on this fact, CD56+ and CD57+ T lymphocytes are considered an independent population of cytotoxic lymphocytes. Their role is not known precisely, however [29, 30]. These lymphocytes of CD8+ NK type produce IFN-γ more intensively than CD8+ T lymphocytes [31]. The count of CD8+/57+ cytotoxic lymphocytes, although not achieving significance, was lower in the ascitic fluid of our patients than in their peripheral blood. Such a reduction can be caused both by insufficient proactivation and strengthened inhibition signals and, subsequently, by an enhanced switch of activated cytotoxic cells into apoptosis [29]. The switch of stimulated cells into apoptosis takes place in the absence of accessory intercellular bindings, but apoptosis can also be induced by soluble factors from the family of TNF proteins produced by cells of the tumour stroma, mainly macrophages associated with the tumour [32-34]. Activated T lymphocytes express CD 69 and HLA-DR membrane molecules. The early activation antigen CD69 belongs to the superfamily of C-type lectin. Following activation of T lymphocytes, it is one of the first proteins expressed within the membrane. It is involved in strengthening intercellular interactions as a co-stimulation molecule. The CD69 molecule is not line-specific and is also situated on other blood cells [35]. The finding of a significantly higher representation of CD3+/CD69+ cells in the ascites than in peripheral blood indicates a stimulation of T lymphocytes in which the cytokine/chemokine microenvironment is also involved together with tumour antigens. The enhanced representation of CD3+/DR+ lymphocytes in ascites did not reach statistical significance in our patients compared to peripheral blood, but it exhibited a similar trend as mentioned in the paper by Bamias et al., who observed a significantly higher representation of CD4+/HLADR and CD8+/HLADR of T lymphocytes in ascites [17]. The CD3+/CD25+ population of lymphocytes was considered proof of the alpha-chain expression for IL-2 on T lymphocytes; its representation in ascites was lower than that in PB, but the difference was not significant. This phenotype of T lymphocytes includes the CD4+/CD25+ subpopulation expressing the FoxP3 molecule identified as the regulatory T lymphocytes (Tregs) [13]. The presence of Tregs in the EOC stroma is considered as an unfavourable finding in terms of prognosis, associated with a shorter length of overall survival. A higher representation of CD4+/CD25+ lymphocytes was described in malignant ascites than in non-malignant ones and was higher in the tumour stroma than in draining nodes [36, 37]. Therefore, the finding of a higher number of CD3+/CD25+ lymphocytes in the peripheral blood of our female EOC patients was surprising to us, and we are going to subject it to further analysis. The precise role of B lymphocytes in the anti-tumour response is not known. Their presence in the tumour stroma confirms their involvement in the anti-tumour response [38]. In the case of tumours, the antibody response to tumour antigens after Ig binding can lead to blockage of epitopes distinguished by specific cytotoxic T lymphocytes, and the tumour growth can be potentiated. Higher occurrence of B lymphocytes among TILs was observed in patients with prevailing activity of CD4+ infiltrating lymphocytes, respectively the Th2 population. The significance of the role of the antigen-presenting cell has not been explicitly demonstrated in the case of B lymphocytes in tumour diseases [39-43]. In our patients, the incidence of B lymphocytes in ascites was significantly lower than that in peripheral blood. NK cells constituting an important component of the natural immunity play an essential role in the anti-tumour response. They are a significant producer of IFN-γ and TNF-α. Activation of NK cells and the cytotoxic response are not dependent on the preceding sensitization [44]. In experimental studies, NK cells exhibited cytotoxicity targeted against EOC cells after IL-2 activation. In the case of EOC, the expression of mucin molecules (MUC) on tumour cells is important [45]. In particular, the presence of MUC16, the carrier for the CA125 tumour marker, is able to inhibit an efficient cytotoxic reaction as mediated by NK cells [6]. In compliance with data from literature resources, significantly higher counts of CD56bright NK cells in ascites were also found in EOC patientsascites in our case [46]. Such a finding can be caused by blockage of the lymphatic drainage on suppression induced by the expanding tumour. Even under physiological conditions, lymphatic nodes can contain up to 95% of CD56bright NK cells [47]. Selective uptake of CD56bright NK cells by the CD62L molecule expressed on NK cells in lymphatic nodes can be another mode of action. Based on the latest studies, it is understood that CD56dim and CD56bright cells represent various differentiation stages of NK lymphocytes, with the CD56dim cells representing a more mature type [48]. It is impossible to exclude the possibility that maturation of NK cells is blocked after encountering tumour antigens. This possibility follows from experimental observations where MUC16 positive tumour cells inhibited expression of the CD16 molecule on NK cells from healthy donors [49]. The cytotoxic activity of CD56bright CD16– NK cells is lower, although granules containing perforins and granzymes are abundantly present in cytoplasm [50]. The situation when the CD16– cells accounted for more than 75% of CD56bright ascitic NK cells in our female patients can be considered a manifestation of the inhibited NK-mediated cytotoxicity. NKG2D is a type II trans-membrane-anchored C-type lectin-like receptor. In the homodimer form it can be found not only on NK cells but also on NKT cells, CD8+ cytotoxic T cells and γδT cells, and it has also been described on CD4+ T lymphocytes. It is a highly evolutionary conserved receptor that distinguishes ligands exhibiting homology with class I MHC molecules [51]. A short intracellular section of the NKG2D receptor has no signal motif; it is associated with other signal-transducing proteins in the trans-membrane section [52]. In addition, two isoforms of NKG2D have been described, which differ by the presence or absence of 13 amino acids in the N end of the cytoplasmic part of the molecule. The long NKG2D isoform binds exclusively with DAP10 adapter protein and recruits phosphoinositide kinase-3 (PI3K) and growth factor receptor-bound proteins 2 (Grb2) by means of YINM. The short NKG2D isoform is associated both with DAP10 and the DAP12 signal-transducing protein [53]. The cytoplasmic part of the DAP12 protein carries the immunoreceptor tyrosine-based activation motif (ITAM) phosphorylation, which leads to involvement of the zeta-chain-associated protein kinase 70 (Zap70) and spleen tyrosine kinase (Syk) signal cascade. Each NKG2D homodimer is associated with two DAP10 and DAP12 homodimers. It is not known whether DAP10 and DAP12 can be simultaneously contained in the hexameric receptor complex; this would, however, lead to a marked amplification of signal paths [54, 55]. A higher NKG2D positive lymphocyte count was found in the ascites of EOC patients than in peripheral blood, with this count being at the level of significance. Nevertheless, the lymphocytic population studied also included B lymphocytes, which do not express the CD94 and CD4+ molecule T lymphocytes, in which only a minority population is NKG2D positive. This fact is also confirmed by NKG2D expression on NK cells of ascites and PB when the two compartments exhibited identical relative representation of positive cells. In practice, it is impossible to assess the function of NK cells according to the expression of activation molecules because these molecules are also expressed on cells at peace under physiological conditions [56]. The NK cell function is regulated by the balance of signals from activation and inhibition receptors. Inhibition signals are mediated mainly by receptors binding HLA I molecules, including killer cell Ig-like receptors (KIRs) such as NKG2A and leukocyte Ig-like receptor B1 (LILR-B1) [57]. Signals coming by means of NKG2C, NKG2D, DNAX accessory molecule-1 (DNAM-1) receptors and natural cytotoxic receptors (NKp30, NKp44 and NKp46) are responsible for the activation. The CD16 molecule mediates Ab-dependent cellular cytotoxicity. The function of the co-stimulation of LFA-1 and 2B4 molecules is also important. The combination of activation and inhibition signals is decisive for the function of NK cells [58]. Although our quantitative analysis showed similarities with previous studies [24, 43], the aforesaid data, as well as our findings, have confirmed the present idea of EOC cells and cells of other tumours affecting both the expression of membrane receptors of cytotoxic cells and the expression of their ligands, whether directly or by means of soluble mediators. The combination of chemotherapy and immunotherapy is still under consideration, and therefore molecules such as NKG2D still remain at the centre of interest. Although treatment using recombinant IFN-α and IFN-γ in clinical practice leads to strengthening of the NKG2D expression on cytotoxic cells, at the same time downregulation of its HP60 ligand takes place on sarcoma cells, or of the MICA ligand on melanoma cells, thereby facilitating their evasion [56, 59]. Results of experimental studies in experimental animals, in which a strengthened cytotoxic effect of molecularly/genetically modified cytotoxic lymphocytes expressing the chimeric NKG2D on tumour cells, leading to long-term tumour-free survival, was observed, have been published. The modification of the anti-tumour response of natural-immunity mechanisms remains one of the most promising ways of treating tumours. But many more functional studies are still necessary in order to determine the role of each immunocompetent cell population in ovarian cancer.
  56 in total

Review 1.  Escape of human solid tumors from T-cell recognition: molecular mechanisms and functional significance.

Authors:  F M Marincola; E M Jaffee; D J Hicklin; S Ferrone
Journal:  Adv Immunol       Date:  2000       Impact factor: 3.543

2.  The expression of the regulatory T cell-specific forkhead box transcription factor FoxP3 is associated with poor prognosis in ovarian cancer.

Authors:  Dominik Wolf; Anna M Wolf; Holger Rumpold; Heidi Fiegl; Alain G Zeimet; Elisabeth Muller-Holzner; Martina Deibl; Guenther Gastl; Eberhard Gunsilius; Christian Marth
Journal:  Clin Cancer Res       Date:  2005-12-01       Impact factor: 12.531

3.  CD57+/CD28- T cells in untreated hemato-oncological patients are expanded and display a Th1-type cytokine secretion profile, ex vivo cytolytic activity and enhanced tendency to apoptosis.

Authors:  L E Van den Hove; S W Van Gool; P Vandenberghe; M A Boogaerts; J L Ceuppens
Journal:  Leukemia       Date:  1998-10       Impact factor: 11.528

4.  CD56bright natural killer cells are present in human lymph nodes and are activated by T cell-derived IL-2: a potential new link between adaptive and innate immunity.

Authors:  Todd A Fehniger; Megan A Cooper; Gerard J Nuovo; Marina Cella; Fabio Facchetti; Marco Colonna; Michael A Caligiuri
Journal:  Blood       Date:  2002-12-12       Impact factor: 22.113

5.  The repertoire of killer cell Ig-like receptor and CD94:NKG2A receptors in T cells: clones sharing identical alpha beta TCR rearrangement express highly diverse killer cell Ig-like receptor patterns.

Authors:  M Uhrberg; N M Valiante; N T Young; L L Lanier; J H Phillips; P Parham
Journal:  J Immunol       Date:  2001-03-15       Impact factor: 5.422

6.  Tumor-infiltrating cytotoxic T lymphocytes as independent prognostic factor in epithelial ovarian cancer with wilms tumor protein 1 overexpression.

Authors:  Renee Vermeij; Geertruida H de Bock; Ninke Leffers; Klaske A Ten Hoor; Ute Schulze; Harry Hollema; Sjoerd H van der Burg; Ate G J van der Zee; Toos Daemen; Hans W Nijman
Journal:  J Immunother       Date:  2011 Jul-Aug       Impact factor: 4.456

7.  Significant differences of lymphocytes isolated from ascites of patients with ovarian cancer compared to blood and tumor lymphocytes. Association of CD3+CD56+ cells with platinum resistance.

Authors:  A Bamias; M L Tsiatas; E Kafantari; C Liakou; A Rodolakis; Z Voulgaris; G Vlahos; T Papageorgiou; O Tsitsilonis; C Bamia; G Papatheodoridis; Ek Politi; A Archimandritis; A Antsaklis; M A Dimopoulos
Journal:  Gynecol Oncol       Date:  2007-04-11       Impact factor: 5.482

8.  Potent suppression of natural killer cell response mediated by the ovarian tumor marker CA125.

Authors:  Manish S Patankar; Yu Jing; Jamie C Morrison; Jennifer A Belisle; Frank A Lattanzio; Yuping Deng; Nyet Kui Wong; Howard R Morris; Anne Dell; Gary F Clark
Journal:  Gynecol Oncol       Date:  2005-08-29       Impact factor: 5.482

9.  Distribution of HLA class I altered phenotypes in colorectal carcinomas: high frequency of HLA haplotype loss associated with loss of heterozygosity in chromosome region 6p21.

Authors:  Isabel Maleno; Carmen Maria Cabrera; Teresa Cabrera; Laura Paco; Miguel Angel López-Nevot; Antonia Collado; Antonio Ferrón; Federico Garrido
Journal:  Immunogenetics       Date:  2004-07-16       Impact factor: 2.846

10.  Duration of response to second-line, platinum-based chemotherapy for ovarian cancer: implications for patient management and clinical trial design.

Authors:  Maurie Markman; Jonathan Markman; Kenneth Webster; Kristine Zanotti; Barbara Kulp; Gertrude Peterson; Jerome Belinson
Journal:  J Clin Oncol       Date:  2004-08-01       Impact factor: 44.544

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  11 in total

1.  Cytokine-induced memory-like natural killer cells have enhanced function, proliferation, and in vivo expansion against ovarian cancer cells.

Authors:  Locke D Uppendahl; Martin Felices; Laura Bendzick; Caitlin Ryan; Behiye Kodal; Peter Hinderlie; Kristin L M Boylan; Amy P N Skubitz; Jeffrey S Miller; Melissa A Geller
Journal:  Gynecol Oncol       Date:  2019-01-15       Impact factor: 5.482

2.  IL-15 super-agonist (ALT-803) enhances natural killer (NK) cell function against ovarian cancer.

Authors:  M Felices; S Chu; B Kodal; L Bendzick; C Ryan; A J Lenvik; K L M Boylan; H C Wong; A P N Skubitz; J S Miller; M A Geller
Journal:  Gynecol Oncol       Date:  2017-02-22       Impact factor: 5.482

3.  Ovarian cancer and the immune system.

Authors:  Thaïs Baert; Ignace Vergote; An Coosemans
Journal:  Gynecol Oncol Rep       Date:  2017-01-06

Review 4.  Natural Killer Cell-Based Immunotherapy in Gynecologic Malignancy: A Review.

Authors:  Locke D Uppendahl; Carly M Dahl; Jeffrey S Miller; Martin Felices; Melissa A Geller
Journal:  Front Immunol       Date:  2018-01-05       Impact factor: 7.561

5.  Functional activity of natural killer cells in biological fluids in patients with colorectal and ovarian cancers.

Authors:  Natalia V Yunusova; Marina N Stakheyeva; Sergey V Molchanov; Sergey G Afanas'ev; Anastasia A Tsydenova; Larisa A Kolomiets; Nadejda V Cherdyntseva
Journal:  Cent Eur J Immunol       Date:  2018-03-30       Impact factor: 2.085

6.  Peritoneal NK cells are responsive to IL-15 and percentages are correlated with outcome in advanced ovarian cancer patients.

Authors:  Ralph J Maas; Jolien van der Meer; Leon Massuger; Harry Dolstra; Janneke S Hoogstad-van Evert; Jeannette Cany; Sophieke van der Steen; Joop H Jansen; Jeffrey S Miller; Ruud Bekkers; Willemijn Hobo
Journal:  Oncotarget       Date:  2018-10-05

7.  NK Cells in Ascites From Liver Disease Patients Display a Particular Phenotype and Take Part in Antibacterial Immune Response.

Authors:  Philipp Lutz; Hannah C Jeffery; Nicholas Jones; Jane Birtwistle; Benjamin Kramer; Jacob Nattermann; Ulrich Spengler; Christian P Strassburg; David H Adams; Ye H Oo
Journal:  Front Immunol       Date:  2019-08-07       Impact factor: 7.561

8.  Comprehensive immune profiling and immune-monitoring using body fluid of patients with metastatic gastric cancer.

Authors:  Hyung Soon Park; Woo Sun Kwon; Sejung Park; Eunji Jo; So Jung Lim; Choong-Kun Lee; Jii Bum Lee; Minkyu Jung; Hyo Song Kim; Seung-Hoon Beom; Jun Yong Park; Tae Soo Kim; Hyun Cheol Chung; Sun Young Rha
Journal:  J Immunother Cancer       Date:  2019-10-21       Impact factor: 13.751

Review 9.  The Tumor Microenvironment of Epithelial Ovarian Cancer and Its Influence on Response to Immunotherapy.

Authors:  Galaxia M Rodriguez; Kristianne J C Galpin; Curtis W McCloskey; Barbara C Vanderhyden
Journal:  Cancers (Basel)       Date:  2018-07-24       Impact factor: 6.639

10.  IRE1α-XBP1 controls T cell function in ovarian cancer by regulating mitochondrial activity.

Authors:  Minkyung Song; Tito A Sandoval; Chang-Suk Chae; Sahil Chopra; Chen Tan; Melanie R Rutkowski; Mahesh Raundhal; Ricardo A Chaurio; Kyle K Payne; Csaba Konrad; Sarah E Bettigole; Hee Rae Shin; Michael J P Crowley; Juan P Cerliani; Andrew V Kossenkov; Ievgen Motorykin; Sheng Zhang; Giovanni Manfredi; Dmitriy Zamarin; Kevin Holcomb; Paulo C Rodriguez; Gabriel A Rabinovich; Jose R Conejo-Garcia; Laurie H Glimcher; Juan R Cubillos-Ruiz
Journal:  Nature       Date:  2018-10-10       Impact factor: 49.962

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