ARTICLE
Received 18 Jan 2014 | Accepted 22 Oct 2014 | Published 4 Dec 2014
Talib Hassan Ali1,2,*, Simona Pisanti3,4,*, Elena Ciaglia3,4,*, Roberta Mortarini5, Andrea Anichini5,Cinzia Garofalo1, Rossana Tallerico1, Mario Santinami6, Elio Gulletta1, Caterina Ietto1, Mario Galgani7, Giuseppe Matarese3,8, Maurizio Bifulco3,4, Soldano Ferrone9, Francesco Colucci10, Alessandro Moretta11, Klas Karre12 & Ennio Carbone1,12
An important checkpoint in the progression of melanoma is the metastasis to lymph nodes. Here, to investigate the role of lymph node NK cells in disease progression, we analyze frequency, phenotype and functions of NK cells from tumour-inltrated (TILN) and tumour-free ipsilateral lymph nodes (TFLN) of the same patients. We show an expansion of CD56dimCD57dimCD69 CCR7 KIR NK cells in TILN. TILN NK cells display robust
cytotoxic activity against autologous melanoma cells. In the blood of metastatic melanoma patients, the frequency of NK cells expressing the receptors for CXCL8 receptor is increased compared with healthy subjects, and blood NK cells also express the receptors for CCL2 and IL-6. These factors are produced in high amount in TILN and in vitro switch the phenotype of blood NK cells from healthy donors to the phenotype associated with TILN. Our data suggest that the microenvironment of TILN generates and/or recruits a particularly effective NK cell subset.
1 Department of Experimental and Clinical Medicine, University of Catanzaro Magna Graecia, 88100 Catanzaro, Italy. 2 Department of Microbiology, College of Medicine, University of Thi-Qar, Nasseriah 64001, Iraq. 3 Department of Medicine and Surgery, University of Salerno, Baronissi Campus, 84081 Baronissi, Italy. 4 Department of Pharmacy, University of Salerno, 84084 Fisciano, Italy. 5 Human Tumors Immunobiology Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy. 6 Melanoma and Sarcoma Unit, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy. 7 Istituto di Endocrinologia e Oncologia Sperimentale, IEOS-CNR, c/o Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Universit di Napoli Federico II, 80131 Napoli, Italy. 8 IRCCS Multimedica, 20128 Milano, Italy. 9 Department of Surgery, Harvard Medical School, Boston, Massachussets 02115, USA. 10 Department of Obstetrics and Gynaecology, University of Cambridge Clinical School, NIHR Cambridge Biomedical Research Centre, Cambridge CB2 OSW, UK. 11 Laboratory of Molecular Immunology, Department of Experimental Medicine, University of Genova, 16126 Genova, Italy. 12 Department of Microbiology Tumor and Cell Biology, Karolinska Institute, 171 77 Stockholm, Sweden. * These authors contributed equally to this work. Correspondence and requests for materials should be addressed to E. Carbone (email: mailto:[email protected]
Web End [email protected] ).
NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications 1
& 2014 Macmillan Publishers Limited. All rights reserved.
DOI: 10.1038/ncomms6639
Enrichment of CD56dimKIR CD57 highly
cytotoxic NK cells in tumour-inltrated lymph nodes of melanoma patients
ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639
subset prevailed in TFLN (CD56dim 31.710.8%, n 31,
CD56bright 68.310.8%, n 12, Po0.001) just as they do in
the lymph nodes of healthy individuals. Thus, NK cell subsets were abnormally distributed in melanoma patients, with the potentially cytotoxic CD56dim NK cells being underrepresented in patients PBL and overrepresented in TILN. The activation marker CD69 in TILN NK cells was even higher than in peripheral NK cells from both patients and healthy donors (Fig. 1c, Pr0.005).
Maturation and activation markers were measured by multi-parametric ow cytometric analysis in TILN, TFLN and PBL.Both CD56dim and CD56bright NK cell subsets within TILN showed higher expression of CD57, CD69 and CCR7, whereas CD16 expression was signicantly augmented in TILN only in the CD56bright subset (Fig. 1d). The CD57 marker has been recently associated with a late, possibly nal stage of NK cell maturation5.CD57 NK cells were 3.4-fold more abundant in TILN
(4817.6%, n 31) than in TFLN (144.2%, n 12)
(P 0.002). It should be noted that the intensity of CD57
staining of NK cells in TILN was weaker compared with the CD57 subpopulation in the blood (Fig. 1a). Inhibitory
killer-cell immunoglobulin-like receptors (KIRs) control several functions of mature NK cells7,8. In spite of the marked variability in KIR expression by TILN and TFLN NK cell subsets, the expression of the two inhibitory KIRs stained by the CD158bspecic mAb KIR2DL2 and KIRDL3 was higher on TILN NK cells than on TFLN NK cells (n 3, P 0.002) (Fig. 1d). In line
with these data, the intensity of the staining of TILN NK cells by mAbs that recognize KIR3DL2, KIR2DL1/S1, KIR2DL2/L3/S2, KIR2DL1/S1 and CD94 was higher than that of TFLN NK cells in three representative patients (AMM16, 17 and 18, Supplementary Fig. 2a); the difference was statistically signicant (Pr0.005, for
KIR2D, KIR2DS, KIR3DL and KIR2DL1/S1; Pr0.05 for CD94) (Supplementary Fig. 2a,b). There was also a trend towards a higher expression of activating receptors NKG2D, DNAM-1 and Natural Cytotoxicity Receptors (NCR, also known as NKP30, NKP44 and NKP46) on TILN NK cells in seven metastatic melanoma patients (AMM5, 6, 11, 12, 13, 15 and 16). We have previously reported that NCRs and DNAM-1 are key receptors for NK cell recognition of melanoma cells and, in particular, of melanoma cell lines derived from lymph node metastases; the latter are more susceptible to NK cell recognition because they express higher levels of ligands for NCRs9. Together, these results argue in favour of the possibility that TILN is the site where NK cells preferentially enrich and express receptors (KIR, NCR) and markers of maturation (CD57, CD56dim) and activation (CD69) suggestive of a more differentiated effector cell phenotype.Moreover, these CD56dim NK cells expressed the lymph node homing chemokine receptor CCR7 (Fig. 1d), suggesting that NK cells actively migrate into the TILN from non-lymphoid tissues and from the circulation. The pattern that we observed can be
Figure 1 | Frequency and phenotype of human NK cells in melanoma patients. (a) Representative example (left) for cytouorimetric analysis of CD56 CD3 NK cell subsets distribution from TILN, TFLN and PBL (P-PBL) in a metastastic melanoma patient in comparison with healthy donor
PBL (H-PBL), in the same experimental conditions. Two regions were selected to represent, respectively, CD56bright and CD56dim populations. Bar graphs
(right) report means.d. of the frequency of CD56dim and CD56bright NK subsets within TILN (black column, n 31) and TFLN (white column, n 12)
gated on lymphocytes of all metastatic melanoma patients tested. In parallel, light grey columns show the frequency of CD56dim and CD56bright NK subsets
within peripheral blood lymphocytes of patients (P-PBL, n 10) and dark grey columns that of healthy controls (H-PBL, n 3). Statistical analysis is
indicated (ANOVA). (b) Expression of CD57, CD16 and CD158b on CD56dim and CD56bright NK cell subsets from TILN, TFLN and P-PBL. Dot plots from
one representative patient are presented. The quadrant marker has been set according to the isotype controls; to corroborate the validity of the markers, T cells were used as internal negative control in vertical and the bright/dim boundary in horizontal. The identical quadrant marker has been applied on all the plots. (c) Expression of CD57, CD16, CD158b, CCR7, CD69 on CD56dim and CD56bright NK cell subsets. Bar graphs report means.d. of the
percentage of positive cells for each indicated marker in gated NK cells from TILN and TFLN of metastatic melanoma patients (n 12). Statistical analysis is
indicated (ANOVA). (d) CD69 CD56 CD3 NK cell subsets frequencies from TILN (n 31), TFLN (n 12), P-PBL (n 10) and H-PBL (n 3). Values
shown are the means.d. of percentages of double positive cells indicated. In all experiments, shown P value is calculated by analysis of variance (ANOVA) followed by post hoc Bonferroni test.
T-cell-mediated immune responses to melanoma antigens have been documented extensively1,2. NK cells contribute to anti-tumour immunity, which is traditionally analysed
using human peripheral blood NK cells3. In contrast, the role of NK cells in the progression of melanoma to lymph node metastasis has not been investigated. We, therefore, set out to analyse and compare NK cell phenotype and responses in tumour-inltrated lymph nodes (TILN), ipsilateral tumour-free lymph nodes (TFLN) and peripheral blood lymphocytes (PBL) in a cohort of stage IIIIV melanoma patients. The NK cells in healthy lymph nodes are predominantly CD56bright (ref. 1). The comparative analysis of the lymphocyte subsets from lymph nodes and autologous peripheral blood reveals a perturbation of NK cell subpopulation frequencies in the TILN where the CD56dim CD3 NK cells prevail. The phenotype of the NK cells
present in the TILN resemble a recently described mature and highly cytotoxic NK subset4,5. The TILN-associated NK subset is functionally active and mediates a robust anti-melanoma cytotoxicity. Moreover, CXCL8, CCL2 and IL-6 dominate the lymph nodetumour environment and patients peripheral blood NK cells indeed express higher amount of CXCR2 and CCR2. Our study reveals an unexpected crosstalk between the tumour niche environment and NK cells and identify a selective anti-melanoma response mediated by CD56dim CD57 CD69
CCR7 KIR NK subset.
ResultsFrequency and phenotype of NK cells in melanoma patients. We found roughly twofold more NK cells within TILN(1.30.9% of the total lymphocyte population, n 31) versus
TFLN (0.70.3%, n 12, P 0.02). We analysed NK cell subsets
in blood and lymph nodes by ow cytometry, using the gating strategy depicted in Supplementary Fig. 1. NK cells can be broadly divided in CD56dim cytotoxic cells, which represent the majority of NK cells in the blood, and in CD56bright cytokine producers, which are the most frequent NK cells in lymph nodes1. Interestingly, we found that pattern of distribution of these two subsets was signicantly perturbed in the blood as well as in the inltrated lymph nodes of melanoma patients (Fig. 1a,b). The mean frequency of NK cells in patients peripheral blood (P-PBL) was 5.42.0% (n 10) with a prevalence of the CD56dim subset
(56.5%17.5) over the CD56bright subset (43.517.5%) (Fig. 1b); the latter ratio was signicantly different from the one that we and others have found in healthy individuals PBL6 (Fig. 1b; H-PBL, CD56dim 87.86.3%; CD56bright 12.26.3%, n 3,
Po0.001). As for the lymph nodes, the pattern was now reversed (Fig. 1b); the CD56dim subset prevails in the TILN of all the patients tested (CD56dim 55.521.5%, n 31,
CD56bright 44.521.5%, Po0.05) whereas the CD56bright
2 NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications
& 2014 Macmillan Publishers Limited. All rights reserved.
NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639 ARTICLE
because of migration of already fully mature CD57 NK cells to
the TILN, or to maturation in situ of immature NK cells migrated from the periphery to TILN. The reduced proportion of CD56dim cells in the PBL of melanoma patients argues in favour of the
former possibility. On the other hand, the low CD57 staining on NK cells in TILN suggests that this subpopulation does not correspond exactly to the CD57 bright NK cells in the blood. In either scenario, our data suggest that TILN might be an important
P <0.001
P <0.001
TILN
TFLN P-PBL H-PBL 100
P <0.01
P <0.05
P <0.01
TILN TFLN
P-PBL H-PBL
104
104
104
104
103
103
103
103
80
60
% CD56 NK cells
40
20
P <0.05
102
102
102
102
101
101
101
101
CD56
100
100
101
102
103
104 10
0 101
102
103
104
100
100
101
102
103
104 10
0 101
102
103
104
0
CD3
Unstained
CD56dim CD56bright
104
103
102
101
100100
101
102
103
104
T cells
TILN TFLN P-PBL
NK cells
104
104
104
104
104
5.1% 1.0%
4.1%
5.0%
29.9%
9.5%
37.8%
103
103
103
103
103
102
102
102
102
102
101
101
101
101
101
100100
101
102
103
104 10
101
102
103
104
100 100
101
102
103
10410
101
102
103
10410
101
102
103
104
IgM CD57 CD57
23.3%
104
104
104
104
6.7%
32.0%
3.1%
20.2%
3.3%
104
103
103
103
103
103
102
102
102
102
102
101
101
101
101
101
12.4%
100100
101
102
103
104
100100
101
102
103
104
100
100
101
102
103
104
100
100
101
102
103
104
100100
101
102
103
104
IgG1
IgG2b
CD16
CD158b
CD16
104
104
104
104
104
2.7%
14.9%
0.5%
3.1%
103
103
103
103
103
102
102
102
102
102
101
101
101
101
101
CD56
100
100
101
102
103
104
CD3
100100
101
102
103
104 10
CD56
101
102
103
10410
101
102
103
10410
101
102
103
104
CD158b
P =0.004
P =0.02
60 TILN
TFLN
P =0.004
P =0.0001 P =0.0012
P <0.005 P <0.005
TILN TFLN P-PBL H-PBL
P =0.0012 P =0.0007
P =0.0005
50 40
% CD57
40
20
% CD16
40 30 20 10
40 30 20 10
60
3020 20
10
40
P =0.04
% CD158b
% CCR7
% CD69
0
0
0
0 CD56dim CD56bright CD56dim
CD56bright
0 CD56dim
CD56bright CD56dim CD56bright CD56dim CD56bright
%CD56+/CD69+ NK cells
0
70
40 30 20 10
60
50
P <0.005 P <0.005
CD56dim
CD56bright
NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications 3
& 2014 Macmillan Publishers Limited. All rights reserved.
ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639
100
P=0.0901
P=0.0693
P=0.0096 P=0.0056
80
80
P<0.0001
P=0.0657
% Expression
40
20
0
CD56dim
CD56bright
** **
CD56+/CD69+
CD56+/CCR7+
CXCL8
IL6, CCL2, VEGF
3,000
*** ***
**
*
Tumour TILN TFLN
Tumour
800
TILN TFLN
600 400 200
10
5 0
IL-6
2,000
pg ml1
1,000
pg ml1
*
0 0 12 24 48 96
Time (h)
CCL2
VEGF
IL-6
CCL2
VEGF
IL-6
CCL2
VEGF
IL-6
CCL2
96
VEGF
0
12
Time (h)
48
CD56dim70 20
16
14
12
10
% NK cells
CD56bright
P=0.038
P=0.026
P=0.019
P=0.018
4 P=0.016
Control
IL6+CXCL8+CCL2
Control
18 IL6+CXCL8+CCL2
% NK cells
60 50 40 30 20 10
0
8
6
2
CD57
CDR7
CD158a
CD69
CD16
0 CD57
CCR7
CD158a
CD69
CD16
CCR2 CXCR2 IL6R
P<0.05
P<0.01
100
50
100
50
0
100 P<0.05
P<0.05 P<0.05
P<0.05
CD56bright+ CD3 CD56dim+ CD3 CD56 CD3+
% Positive cells
% Positive cells
% Positive cells
0 Healthy Healthy Healthy
Patients Patients Patients
Figure 2 | Analysis of cytokine milieau in melanoma-inltrated and tumour-free lymph nodes. (a) Transmissible factors inuence on CD56 cell subset frequency and CD69 and CCR7 cell surface expression was evaluated in transwell co-cultures. TILN and TFLN samples (n 3) were analysed
for CD69 and CCR7 expression within CD56dim and CD56bright NK cell subsets. Each specic bar pattern represents the transwell condition with TFLN, TILN or PBL in the upper chamber of the transwell and TFLN or TILN in the lower one. The bar diagram shows the mean of valuess.d. (analysis of variance (ANOVA), n 3). (b,c) Cytokine production in supernatant of TILN, TFLN and melanoma tumour samples. (b) The histogram reports CXCL8
production by tumour cells (grey column), TILN lymphocytes (black column) and TFLN lymphocytes (white column) as means.d. of three independent experiments. (c) IL-6, CCL2, VEGF release by tumour cells, TILN and TFLN lymphocytes (the results represent means.d. of three separate experiments, ANOVA). Selected statistical analyses are indicated. (ANOVA, *Po0.05, **Po0.01 and ***Po0.001). (d) The combination of IL-6, CXCL8 and CCL2 can inuence CD56bright phenotype on CD56 CD3 NK cells derived from peripheral blood of healthy donors. Bars shows the percentages.d. of CD56dim
(left panel) and CD56bright (right panel) expressing each indicated marker. Results shown are representative of three independent experiments. Statistical analysis is indicated (ANOVA). (e) Frequency of NK and T cell subsets (CD56bright CD3 ; CD56dim CD3 ; CD56 CD3 ) expressing the CXCL8
receptor (CXCR2), CCL2 receptor (CCR2) and IL-6 receptors in healthy donors (n 8) and melanoma patients peripheral blood (n 9). Each dot represents a
different patient or healthy donor. Bars represent mean values. Statistical analysis is indicated (ANOVA). VEGF, vascular endothelial growth factor.
4 NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications
& 2014 Macmillan Publishers Limited. All rights reserved.
NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639 ARTICLE
site for NK cell-mediated immunosurveillance against melanoma metastases.
Analysis of cytokine milieu in TILN and TFLN. To test whether the phenotypical differences between the NK cells resident in TILN and those resident in TFLN were because of different cytokine milieus, we performed transwell co-culture experiments. We observed a strong increment in the percentage of both CD69 and CCR7 expressing cells from TFLN treated with TILN supernatants, reaching very similar levels to TILN NK cells (Fig. 2a); this suggests that TILN supernatants contain soluble factors able to convert the phenotype of TFLN NK cells into a phenotype similar to that of TILN NK cells. Thus, we quantied selected cytokines and growth factors in culture supernatants of lymph node-derived cell suspensions from 0 to 96 h. TILN produced more CXCL8 (Fig. 2b; Po0.005, n 3), IL-6 and CCL2
than TFLN (Fig. 2c) (Po0.05, n 3). Taken together, these
results show that TILN have a different cytokine milieu, which may account for the peculiar NK cell phenotype observed. The expression of CXCL8 and CCL2 chemokines in TILN suspensions might be an early consequence of target cell recognition by NK cells, which has a low threshold for activation10. The production of inammatory cytokines TNFa (tumour necrosis factor alpha)
and IFN-g (interferon gamma) by NK cells, instead, requires stronger activation, which may not be attained in the TILN microenvironment, where tumour and NK cells are exposed to other cytokines and tumour growth factors that may be suppressive. Notably, the autologous melanoma metastasis itself produced detectable amounts of CXCL8, IL-6 and CCL2. To assess the impact of these soluble factors on NK cell phenotype, we treated healthy donors PBL cells with single cytokines or a combination of them (Supplementary Fig. 3). CD56bright was the only cell subset responsive to the combination of all the three cytokines as it showed an upregulated expression of CD69, CD57, CD16, CD158 and CCR7 (Fig. 2d). Similar data were obtained using puried NK cells.
The expression of the receptors for CXCL8, CCL2 and IL-6 was compared in healthy donors and melanoma patients peripheral blood NK cells. The frequency of CXCR2 was signicantly higher in the CD56dim compartment in patients peripheral blood with respect to healthy donors. There was a trend towards higher expression of both CXCR2 and CCR2 in the CD56bright subset in patients PBL. Noteworthy, no differences were found in T cells compartment between healthy donors and patients. The frequencies of CXCR2 and CCR2 expressing NK cells were higher than T cells with these receptors in patients peripheral blood. However, only the CD56dim CXCR2 expressing subset and CD56bright CCR2 reached the statistical signicance (Fig. 2e).
Therefore, it is conceivable to propose that the presence of metastatic cells lead to a cytokine environment in the patients lymph node that is dominated by CXCL8, CCL2 and IL-6 (Fig. 2b). These soluble factors may induce in situ maturation of CD56bright CD3 NK cells to become more mature and
cytotoxic CD57 KIR CD69 CCR7 NK cells (Fig. 2d).
Moreover, CXCL8 and CCL2 produced by metastatic lymph nodes may recruit CXCR2 /CCR2 cells among both subsets
of circulating CD56bright and CD56dim NK cells (Fig. 2e).
NK cells cytotoxicity from tumour-inltrated lymph nodes. To directly quantify the anti-tumour activity of patients NK cell subsets, we measured NK cell cytotoxicity against patients autologous melanoma cells after short-term cultures. We included NK cells isolated from patients TILN, TFLN and PBL, as well as NK cells isolated from healthy donors PBL. TILN NK cells showed the highest and TFLN NK cells the lowest cytotoxic
activity (Fig. 3a,b). Altogether, these data demonstrate that autologous TILN-derived NK cells kill lymph node metastatic melanoma cells more efciently than autologous TFLN- and PBL-derived NK cells (Pr0.005, n 6), or allogeneic PBL-
derived NK cells from healthy donors (Pr0.005, n 4). To
conrm the cytotoxic potential of NK cells in vitro, we used a degranulation assay based on the expression of CD107a. We measured basal CD107a surface expression directly after explanting TILN and TFLN of ve melanoma patients (AMM17, 18, 19, 20, 21). In all the patients tested, the expression of CD107a was higher on NK cells from TILN, particularly within the CD56dim cells (P 0.012) and the CD57 NK cells (P 0.005;
Fig. 3c). We also measured degranulation in response to K562 erythroleukemia cells, the gold standard target for NK cells. Interestingly, only TILN NK cells were clearly activated to degranulate by K562 pulsing, while the TFLN NK cells were unresponsive (Fig. 3d). To assess whether these highly cytotoxic TILN CD57 CD56 NK cells maintain proliferative potential,
we measured the expression of Ki67, a marker of cycling cells. CD57 CD56 NK cells contained sixfold more Ki67 cycling
cells (60.1%13.4) than CD57-CD56 NK cells (10.4% 10.2),
thus they can proliferate (Fig. 3e).
Frequency of CD57 CD56dim NK cells in TILN and prognosis.
The peculiar phenotype of TILN NK cells and their surprisingly high cytotoxic activity against autologous melanoma cells, prompted us to investigate whether the presence of the CD57 CD56dim subset in TILN would correlate with clinical
outcome. The ratios between CD57 CD56dim and CD57
CD56bright cells, normalized on the total NK cells percentage in TILN, showed considerable variability among the 20 melanoma patients TILN investigated, distributing over a range between 1.0 and 16.9 (Fig. 4a and Supplementary Table 2). We thus divided the patients into two groups, one with a Z6 ratio and the other one with a o6 ratio. Since patients with higher ratio mainly belong to stage III, we stratied the patients according to disease stage (Fig. 4b), and found a trend towards association between overall survival and NK ratio within stage III patients.
Although suggestive of a potential role for lymph node NK cells in clinical outcome, this association must be considered as a preliminary observation, to be tested in a much larger cohort to assess whether it is an independent variable. In contrast, there was no such pattern when patients were grouped according to the frequencies of CD57 CD8 CD3 cytotoxic T cells
(Supplementary Fig. 5) or Foxp3 CD25 CD3 T regulatory
cells (Supplementary Fig. 6). The differences in survival cannot be explained by novel therapies for metastatic melanoma such as BRAF inhibitors and anti-CTLA-4 or PD1 monoclonal antibodies, since the patients studied here were diagnosed before the introduction of these treatment protocols. We noted that male patients dominated in the group with o6 ratio (10 males versus two females) but not in the group with 46 ratio (three males versus three females), and males have been reported to have a worse prognosis in metastatic melanoma11. We, therefore, cannot exclude gender as a contributing factor in the clinical outcome (Supplementary Table 1).
DiscussionExperimental evidence supports the notion that peripheral blood CD56bright NK cells give rise to CD56dim NK cells, which can be further subdivided into subsets on the basis of surface markers and function. CD57 expression is acquired at later stages and marks terminally differentiated cells with high cytolytic activity but very low proliferative potential5,6,12. Under physiological conditions, the NK cell population in lymph nodes is dominated
NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications 5
& 2014 Macmillan Publishers Limited. All rights reserved.
ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639
a
100
TILN
P-PBL H-PBL
TFLN
c
% Lysis
90 80 70 60 50 40 30 20 10
0
AMM18
AMM21
**
PBL
TILN
104
TFLN TILN TFLN
104 103 102 101 100
104 103 102 101 100
104 103 102 101 100
104 103 102 101 100
**
103
30
P=0.048
P=0.012
P<0.0001
*
IgG isotype
% CD56+CD107a+
%CD57+CD107a+
102
101
20
100
104 103 102 101 100
104 103 102 101 100
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
10
120
100
80
60
104 103 102 101 100
0
104 103 102 101 100
104 103 102 101 100
6:1 3:1 1:1
7.9%
26.8%
16.5% 3.3% 16.9% 9.4%
35.3%
2.9%
6.4%
2.3%
18.3%
3.0%
10.0%
Dim
Bright
CD56 CD57
b
TILN
TFLN
100
90 80 70 60 50 40 30 20 10
0
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
TILN
104 103 102 101 100
104 103 102 101 100
*
*
*
TILN
TFLN
*
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
*
CD107a
25:1
12:1 6:1 3:1 1:1
d
Effector
alone
4:1
10:1 20:1
E:T
TILN
TFLN
CD107a
104 103 102 101 100
104
P<0.01
104 103 102 101 100
104 103 102 101 100
TILN TFLN
15
10
5
2.4%
8.4% 12.5% 6.3% 8.6%
17.8%
31.2%
P<0.01
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
104 103 102 101 100
104 103 102 101 100
100
102
103
CD56+/CD107a+ cells
(fold increase)
10
104
104 103 102 101 100
104 103 102 101 100
103
102
101
0 Alone 4:1 10:1 20:1E:T
CD56
100
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
100
10
102
103
104
e
104
103
CD56 Cyc
102
101
100
100
10
102
103
104
80
CD56+CD57
P=0.0002
CD57 FITC
% ki67+ NK cells
CD56+CD57+
20
30
CD56+CD57+
60
40
20
0
25
Counts
15 10
5 0
Counts
20
15
10
5
0
17.8%
78.3%
100
10
102
103
104
100
10
102
103
104
ki67 PE
ki67 PE
Figure 3 | NK cells from tumour-inltrated lymph nodes have strong cytotoxic potential. (a,b) Cytotoxicity of NK cells against autologous melanoma cell lines. The graph reports the mean percentage specic lysis s.d. of at least three individual representative experiments performed at the indicated Effector:Target (E:T) ratios. (a) The gure compares killing by autologous NK cells isolated from patients TILN (circle symbol) and TFLN (black square) or allogenic NK cells isolated from healthy donors PBL (H-PBL, black triangle). (b) Comparison between cytotoxicity of autologous NK cells isolated from TILN (circle symbol, n 6), patients PBL (P-PBL, black triangle, n 4) and allogenic NK cells isolated from healthy donors PBL (H-PBL, white triangle,
n 4). Selected statistical analyses are indicated. (ANOVA, *Po0.05 and **Po0.01). (c) Basal CD107a surface expression on TILN- and TFLN-NK cells
from two representative (AMM18 and AMM21) patients, as assessed by FACS analysis. Numbers in dot plots indicate the percentage of CD107a positive cells within CD56dim and CD56bright NK subsets (upper panels) or alternatively within CD57 CD56 NK cells (lower panels). The dot plot
quadrants are set according to the isotype IgG control for TILN and TFLN as shown in the gure. In the CD56 dot plots, two additional regions identify bright and dim NK cell subsets. The bar diagrams (right) refer to the mean of valuess.d. of experiments performed in ve metastatic melanoma patients (ANOVA). (d) Two representative metastatic melanoma patients (AMM17 on the left and AMM20 on the right) FACS analysis of the CD107a mobilization assay gating on CD56 CD3 TILN and TFLN NK cells after K562 pulsing at different E:Tratios. Quadrants are drawn according to the IgG
isotype control for TILN and TFLN, as shown. The bar diagram (right) shows the mean of valuess.d. (n 4) expressed as fold increase of CD107a
expression in target pulsed NK cells over NK cells alone. (e) Ki67 intracellular staining of TILN CD57 CD56 NK cells. The bar diagram (right) shows
the mean of valuess.d. (n 5).
6 NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications
& 2014 Macmillan Publishers Limited. All rights reserved.
NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639 ARTICLE
CD57+CD56dim/CD57+CD56bright
stage III ratio<6 CD57+CD56dim/CD57+CD56bright
stage III ratio6 CD57+CD56dim/CD57+CD56bright
stage IV ratio<6
CD57+CD56dim /CD57+CD56bright
20
100
15
10
Percent survival
50
5
0
0
0
Patients TILN
50
100 Months
150
Figure 4 | Stratifying by stages patients survival in groups with high or low frequency of CD56dim CD57 NK cells in tumour-inltrated lymph
nodes. (a) CD57 CD56dim/CD57 CD56bright ratio was calculated as a proportion of total NK cell frequency in the melanoma-inltrated lymph
nodes (TILN) of each metastastic melanoma patient. (b) KaplanMeier survival curves in seven patients with CD57 CD56dim/CD57 CD56bright ratio
Z6 (continuous line), six patients with CD57 CD56dim/CD57 CD56bright ratio o6 stage III (dashed line) and with six patients CD57 CD56dim/
CD57 CD56bright ratio o6 in stage IV (dotted line). The curves were compared with log-rank test (P 0.004) and a test for trend (P 0.00068).
by CD56bright cells. We found a striking reversed pattern in tumour-inltrated lymph nodes where most NK cells are CD56dim CD57 . These cells express activation markers and
are highly cytotoxic against autologous melanoma cell lines. In view of these ndings, the ratio between the CD57 CD56dim
and the CD57 CD56bright, normalized on the total NK cell
percentage in TILN, could represent a valid index of terminal differentiation toward fully competent and highly cytotoxic NK cells. It is remarkable that despite the presence of Treg cells
(Supplementary Fig. 4), these KIR CD57 NK cells are
activated, as demonstrated by the expression of CD69 and their ability to readily degranulate. The high functional activation status of TILN NK cells can even be further increased by ex vivo exposure to tumour cells such as K562 cells, despite the possible tolerogenic environment. However, it should be noted that the TILN milieu is characterized by considerable IL-6 production (Fig. 2b), known to drive CD4 T-cell differentiation away from Treg function even in the presence of TGF-b13. Noteworthy, melanoma metastases produce CXCL8 (ref. 14) and the senescent melanoma cells secrete IL-6, CCL2 and CXCL8 (ref. 15). The serum concentration of CXCL8 increases during melanoma progression16. Thus, NK cells may be specically recruited from the blood to the melanoma-inltrated lymph nodes using the combination of receptors that facilitate homing (CCR7 and CXCR2) and tumour targeting (CXCR2 and CCR2).
The described results suggest that the ratio between CD56dim CD57 and CD56bright CD57 cells in TILN is biologically
important and this preliminary observation should be further explored as a prognostic marker in metastatic melanoma. One possible mechanistic/causal scenario that emerges from this observation is that during the progression of malignant melanoma to lymph node metastasis, CD56dim CD57 NK
cells become enriched in inltrated lymph nodes, either by selective recruitment or by expansion (or a combination of the two). These NK cells then act to limit further spread. It is, however, also possible that the differential reactivity patterns in the TILN represent consequence rather than cause of differential tumour progression. For example, association with prognosis might be explained by the ability of particularly aggressive tumours to prevent the enrichment of the fully differentiated NK cell subset. These and other aspects of lymph node NK cell reactivity would be interesting to analyze further in a larger cohort of patients.
To our knowledge, this is the rst report demonstrating that CD56dim CD57 NK cells can be found in lymph nodes. It will
be interesting to investigate how this subpopulation relates to memory NK cells that expand after CMV infection in mice and humans17,18. Besides shedding light on the role of NK cells in tumour protection, our data suggest that TILN NK cells should be considered as interesting candidate for the design of new adoptive immunotherapy protocols. Lymph nodes explanted during common clinical practice may be a good source of proliferating and highly cytotoxic NK cells that can be expanded ex vivo and subsequently administered to patients.
Methods
Isolation of lymphocytes and melanoma cell cultures. Lymphocytes and melanoma cells were isolated from surgically removed tumour-invaded lymph nodes (TILN) and ipsilateral tumour-free lymph nodes (TFLN) of AJCC stage IIIc or IV melanoma patients. Patients were admitted to Fondazione IRCCSIstituto Nazionale dei Tumori, Milan, Italy. Patients had no history of previous chemotherapy or immunotherapy. All the lesions were histologically conrmed to be cutaneous malignant melanomas. Written informed consent was obtained from all patients in accordance with the Declaration of Helsinki to the use of human biological samples for research purposes. Lymphocytes from TILN of 38 patients (named with the acronym AMM and numbered from 1 to 56), TFLN and melanoma cells from TILN, were isolated by mechanical disaggregation of surgical specimens. Briey, tumour specimens were placed in RPMI 1640 (Lonza Verviers, Belgium) supplemented with antibiotics, such as penicillin and streptomycin (Lonza) and minced into 12 mm3 fragments by surgical scalpels. Further tissue disaggregation was achieved by forcing fragments through a metallic mesh with the aid of a sterile syringe plunger. After centrifugation, the cell suspension was treated with trypsin (Lonza) and DNAase (Sigma) for 2 min at room temperature to remove dead cells. After two washes and centrifugation, different aliquots of the cell suspensions were used for cryopreservation, for deriving tumour cell cultures and for isolation of lymphocytes. Melanoma cell lines were established by culture of cell suspensions in 25 cm2 tissue asks in RPMI 1640 supplemented with 2% glutamine (200 mM, Invitrogen), penicillin (100 U ml 1) and streptomycin(100 mg ml 1) and 10% heat-inactivated fetal calf serum (Biological Industries), at 37 C in humidied CO2 atmosphere. Melanoma cell lines were routinely tested for the absence of Mycoplasma contamination by a PCR-based kit (PromoCell). SP11-763.74 (ref. 19) and SP11-TP61.5 (ref. 20) mAbs that recognize specic melanoma markers were used to validate histologically primary melanoma cell lines derived from individual patients. The human melanoma metastatic cell lines were grown for not more than nine to ten in vitro passages. Lymphocytes from TILN-derived cell suspensions were isolated by Ficoll-Paque (Biopaque) gradient separation.
Isolation of NK cells from short-term TILN and TFLN cultures. NK cells were puried from TILN and TFLN cell suspensions in selected experiments, using the NK cell Isolation kit negative selection and VarioMACS (Miltenyi Biotec) according to the manufacturers instructions for the depletion of non-NK cells.
NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications 7
& 2014 Macmillan Publishers Limited. All rights reserved.
ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639
Briey, after thawing, TILN and TFLN cell suspensions in RPMI 1640 medium were cultured overnight at 37 C in a 5% CO2-humidied atmosphere. After a preliminary passage through a Ficoll column (Biopaque) to remove debris and dead cells, the purity of NK cell preparations, determined by cytouorimetric analysis, was 495%. Freshly enriched NK cells were suspended in Iscoves Modied Dulbeccos culture medium (IMDM, Life Technology) supplemented with penicillin (100 IU ml 1) and streptomycin (100 mg ml 1), 10% FBS (Invitrogen).
PBL were isolated from blood of patients with melanoma or of healthy donors by density gradient centrifugation over Ficoll-Paque (Biopaque).
Antibodies. Q66 (KIR3DL2)/IgM (at 1:5 dilution), Z27 (KIR3DL1/S1)/IGg1 (at 1:10 dilution), GL183 (KIR2D2/3/S2)/IgG1 (at 1:20 dilution), XA185 (CD94)/IgG1 (at 1:20 dilution), Z 270 (NKG2A) IgG1 (at 1:5 dilution) supernatants produced in our laboratory (A.M.). FITC-anti-CD57/IgM (322306 at a 1:100 dilution), PE-anti-CD57/IgM (322312 at a 1:100 dilution), PerCP/Cy5.5CD3/IgG1 (344807 at a 1:100 dilution) PE-antiKi67/IgG1 (350503 at a 1:50 dilution), PE/Cy5 anti-human CD56/IgG2a (304608 at a 1:100 dilution), APC-anti-CD3/IgG2a (317317 at a 1:100 dilution), PE-antiFoxp3 /IgG1(320007 at a 1:100 dilution), PE-antiNKp44/IgG1 (325108 at a 1:100 dilution), PE-antiNKp30 IgG1 (325208 at a 1:100 dilution), PE-antiNKp46 IgG1 (331908 at a 1:100 dilution), PE-antiDNAM1/IgG1( 338305 at a 1:100 dilution) and PE-antiNKG2D/IgG1(320806 at a 1:200 dilution), PE-antiCCR7/IgG2a (353204 at a 1:100 dilution), PE-antiCD16/IgG1 (302008 at a 1:300 dilution), FITC-antiCD69/IgG1 (310904 at a 1:100 dilution) were from BioLegend. FITC-anti-CD3/IgG1 (11-0036 at a 1:100 dilution) and APC-anti-CD3/ IgG1 (11-0036-42 at a 1:100 dilution) were from eBioscience. PE-Cy7-anti-CD56/ IgG1 (560916 at a 1:100 dilution), PE-CD69/IgG1 (341652 1:50 dilution) and FITC-CD158b/IgG2b (559784 at 1:50 dilution) were from BD Pharmingen. For the cytokines receptors staining on patients and healthy donor lymphocytes, the followed antibodies were used: APC-antiCD126 (IL-6R)/IgG1 (cod.562090 at 1:50 dilution), APC-antiCD182 (CXCR2)/IgG1 (cod.551127 at 1:10 dilution), APC-antiCD192 (CCR2)/IgG2b (cod.558406 at 1:10 dilution) from Miltenyi Biotec, and 7AAD Staining Solution for the cell viability from BD Pharmingen.
Flow cytometry analysis. Briey, 2 105 cells from the total LN suspension were
stained with the indicated antibodies followed by ow cytometric analysis. In the indirect staining method, the cells were rst incubated with an appropriate primary mAb followed by FITC (Sigma) conjugated goat anti-mouse secondary antibody. In all experiments, the isotype-matched controls were used to set up the negative values. Cells were xed in 1% formaldehyde for data analysis. Sample uorescence was measured by the uorescence-activated cell sorter FACSCalibur apparatus (Becton Dickinson) and data were analysed by using the Cell-Quest software (Becton Dickinson).
For intracellular staining to investigate the percentage of Treg cell, cell pellets were resuspended in phosphate-buffered saline (PBS) with 2% FBS and stained with uorochrome-conjugated anti-CD4, then xed with 3% formaldehyde (Sigma) in PBS, permeabilized with PBS with 2% FBS and 0.5% saponin (Sigma), and stained with PE-antiFoxp3 /IgG1.
For Ki67 staining, BD Cytox/Cytoperm kit was used, according to manufacturers instructions. Briey, cell pellets were resuspended in PBS with 2% FBS and surface stained with uorochrome-conjugated anti-CD56, anti-CD57 and anti-CD3, then xed, permeabilized and intracellularly stained with PE-Ki67/IgG1.
In the direct staining for the cytokines receptors, cells were rst incubated with human serum for 15 min and then acquired by a FACS Canto II apparatus (Becton Dickinson). The data were analysed by Flow-Jo version 7.6.4 software analysis.
Microarray cytokine assay. For cytokine prole analysis, TILN, TFLN and tumour samples of AMM 8,9,16 metastatic melanoma patients were thawed and cultured with complete RPMI 1640 medium. Then 1,000 ml of culture supernatant were removed at 0, 12, 24, 48, 96 h time points and analysed by biochip array analyser with the RANDOX cytokine and growth factors array (CTK) microarray kit, for the simultaneous quantication of interleukin-2 (IL-2), IL-4, IL-6, CXCL8, IL-10, vascular endothelial growth factor, IFN-g, TNFa, IL-1a, IL-1b, monocyte chemoattractant protein-1 and epidermal growth factor. This assay was performed following the manufacturers recommended procedure. Beads were read on the Bio-Plex suspension array system. Data were analysed using Bio-Plex manager software with 5PL curve tting. The limit of detection for this assay isE10 pg ml 1 (based on detectable signal2 s.d. above background). TGF-b production was evaluated by a specic ELISA kit following manufacturers instructions (R&D Systems and Biosource International).
Cytotoxicity assay. Puried NK cells from TILN, TFLN and PBL of melanoma patients or healthy donors were cultured for 48 h in the presence of 200 IU of IL-2 (Chiron) than used as effectors against related metastatic melanoma in vitro established tumour cells using the uorescent carboxy-Fluorescein Diacetate cFDA NK assay. Briey, the target cells were labelled with cFDA (Molecular Probes). Target cells were mixed with effector cells at different E:T ratios for 3 h in 200 ml of
RPMI 1640 medium at 37 C in a humidied 5% CO2 incubation. The specic lysis of target cells was calculated as follows: % specic lysis (CT TE/CT) 100,
(where CT mean number of uorescent target cells in control tubes and
TE mean number of uorescent cells in target effectors tubes).
CD107a mobilization assay after K562 pulsing. Freshly enriched lymphocytes from TILN and TFLN cell suspension of metastatic melanoma patients were cultured at 37 C in 5% CO2 to different (4:1, 10:1 and 20:1) effector:target ratio with K562 (ATCC) in the presence of PE-conjugated CD107a/IgG1 antibody (BD Pharmingen) in U-bottom 96-well plates. After 1 h, Brefeldin A (5 mg ml 1,
Sigma) was added to cultures for an additional 3 h of incubation. At this time, cells were collected, washed with PBS with 2% fetal bovine serum (FBS) stained with anti-CD56 PE-Cy5 (Beckman-Coulter-Immunotech), anti-CD3 FITC (Beckman-Coulter-Immunotech) or alternatively with anti-CD3 APC (BD Pharmingen) and analysed by ow cytometry.
Statistical analysis. Data obtained from multiple experiments are calculated as means.d. and analysed for statistical signicance using the two-tailed Students t-test, for independent groups, or analysis of variance followed by Bonferroni correction for multiple comparisons. P values o0.05 were considered statistically signicant. We analysed survival time after surgery in 20 cancer patients.
We considered tumour stage (III and IV) and the CD57 CD56dim/CD57
CD56bright ratio (ratio o6 and ratio Z6) as potential predictors. The value 6 of the ratio was chosen because it was the best discriminatory cut-off value for survival. We obtained survival curves with the KaplanMeier product-limit estimator.
We tested the trend in survival for differences between groups with the log-rank test. Trend in survival across groups of patients was analyzed by testing the coefcient associated with the group entered as a numeric variable in a Cox regression model. We veried proportionality of the hazards with Schoenfelds residuals. We tested the association between stage and ratio with the Fishers exact test. Statistical computations were done using the graphPad Prism 5.0 software for Windows; the analyses were performed with Stata version 13 (Statacorp, College Station, TX, USA).
References
1. Parmiani, G., Castelli, C., Santinami, M. & Rivoltini, L. Melanoma immunology: past, present and future. Curr. Opin. Oncol. 19, 121127 (2007).
2. Mukherji, B. et al. Clonal analysis of cytotoxic and regulatory T cell responses against human melanoma. J. Exp. Med. 169, 19611976 (1989).
3. Burke, S., Lakshmikanth, T., Colucci, F. & Carbone, E. New views on natural killer cell-based immunotherapy for melanoma treatment. Trends Immunol. 31, 339345 (2010).
4. Lopez-Vergs, S. et al. CD57 denes a functionally distinct population of mature NK cells in the human CD56dimCD16 NK-cell subset. Blood 116,
38653874 (2010).5. Bjrkstrm, N. K. et al. Expression patterns of NKG2A, KIR, and CD57 dene a process of CD56dim NK-cell differentiation uncoupled from NK-cell education. Blood 116, 38533864 (2010).
6. Caligiuri, M. A. Human natural killer cells. Blood 112, 461469 (2008).7. Joncker, N. T. & Raulet, D. H. Regulation of NK cell responsiveness to achieve self-tolerance and maximal responses to diseased target cells. Immunol. Rev. 224, 8597 (2008).
8. Brodin, P., Karre, K. & Hoglund, P. NK cell education: not an on-off switch but a tunable rheostat. Trends Immunol. 30, 143149 (2009).
9. Lakshmikanth, T. et al. NCRs and DNAM-1 mediate NK cell recognition and lysis of human and mouse melanoma cell lines in vitro and in vivo. J. Clin. Invest. 119, 12511263 (2009).
10. Fauriat, C. et al. Regulation of human NK cell cytokine and chemokine production by target cell recognition. Blood 115, 21672176 (2010).
11. Joosse, A. et al. Sex is an independent prognostic indicator for survival and relapse/progression-free survival in metastasized stage III to IV melanoma:a pooled analysis of ve European organisation for research and treatment of cancer randomized controlled trials. J. Clin. Oncol. 31, 23372346 (2013).
12. Romagnani, C. et al. CD56brightCD16- killer Ig-like receptor- NK cells display longer telomeres and acquire features of CD56dim NK cells upon activation.J. Immunol. 178, 49474955 (2007).13. Kimura, A. & Kishimoto, T. IL-6: regulator of Treg/Th17 balance. Eur. J. Immunol. 40, 18301835 (2010).
14. Schadendorf, D. et al. IL8 produced by human malignant melanoma cells is an essential autocrine growth factor. J. Immunol. 151, 26672675 (1993).
15. Ohanna, M. et al. Senescent cells develop a PARP-1 and nuclear factor-kappaB associated secretome (PNAS). Genes. Dev. 25, 12451261 (2011).
16. Ugurel, S., Rappl, G., Tilgen, W. & Reinhold, U. Increased serum concentration of angiogenic factors in malignant melanoma patients correlates with tumor progression and survival. J. Clin. Oncol. 19, 577 (2001).
17. Foley, B. et al. Cytomegalovirus reactivation after allogeneic transplantation promotes a lasting increase in educated NKG2C natural killer cells with
potent function. Blood 119, 26652674 (2012).
8 NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications
& 2014 Macmillan Publishers Limited. All rights reserved.
NATURE COMMUNICATIONS | DOI: 10.1038/ncomms6639 ARTICLE
18. Sun, J. C., Beilke, J. N. & Lanier, L. L. Adaptive immune features of natural killer cells. Nature 457, 557561 (2009).
19. Temponi, M. et al. Binding parameters and idiotypic prole of the whole immunoglobulin and Fab fragments of murine monoclonal antibody to distinct determinants of the human high molecular weight-melanoma associated antigen. Cancer Res. 52, 24972503 (1992).
20. Chen, Z. J. et al. Human high-molecular-weight melanoma-associated antigen mimicry by mouse antiidiotypic monoclonal antibody TK7-371. Cancer Res. 51, 47904797 (1991).
Acknowledgements
This work was supported by Associazione Italiana Ricerca Cancro AIRC-IG 10189 and UICC International Cancer Technology Transfer Fellowship (E. Carbone), AIRC-IG 13312 (M.B.); AIRC-IG 12020 (R.M.); AIRC-IG 10643 and special Project 5 1000 n.992
(A.M.); The Swedish Cancer Society and The Swedish Research Council. (K.K.); Associazione Educazione e Ricerca Medica Salernitana (ERMES) (M.B.). PHS grants RO1CA138188 and RO1CA110249 awarded by the National Cancer Institute (S.F.). Fondazione Italiana Sclerosi Multipla (FISM) n. 2012/R/11, the Ideas Programme from the European Research Council Starting Grant menTORingTregs n. 310496 and CNR-Grant Medicina Personalizzata (G.M.) AICR and the MRC-UK.(F.C.). R.T. and E. Ciaglia were supported by a fellowship from FIRC.
Author contributions
T.H.A., S.P. and E. Ciaglia performed the experiments and analyses. R.M. and M.S. performed experiments sampling collection, A.A. was involved in the analyses and data interpretation, and manuscript writing. C.G., R.T., E.G., C.I., M.G. performed experiments. M.B., S.F., A.M., K.K., F.C. were involved in data analyses and manuscript writing. E. Carbone conceived the study, wrote the manuscript and designed the experiments. All the authors analysed and interpreted the data and critically read the manuscript.
Additional information
Supplementary Information accompanies this paper at http://www.nature.com/naturecommunications
Web End =http://www.nature.com/ http://www.nature.com/naturecommunications
Web End =naturecommunications
Competing nancial interests: The authors declare no competing nancial interests.
Reprints and permission information is available online at http://npg.nature.com/reprintsandpermissions/
Web End =http://npg.nature.com/ http://npg.nature.com/reprintsandpermissions/
Web End =reprintsandpermissions/
How to cite this article: Ali, T. H. et al. Enrichment of CD56dimKIR CD57 highly
cytotoxic NK cells in tumour-inltrated lymph nodes of melanoma patients. Nat. Commun. 5:5639 doi: 10.1038/ncomms6639 (2014).
NATURE COMMUNICATIONS | 5:5639 | DOI: 10.1038/ncomms6639 | http://www.nature.com/naturecommunications
Web End =www.nature.com/naturecommunications 9
& 2014 Macmillan Publishers Limited. All rights reserved.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Copyright Nature Publishing Group Dec 2014
Abstract
An important checkpoint in the progression of melanoma is the metastasis to lymph nodes. Here, to investigate the role of lymph node NK cells in disease progression, we analyze frequency, phenotype and functions of NK cells from tumour-infiltrated (TILN) and tumour-free ipsilateral lymph nodes (TFLN) of the same patients. We show an expansion of CD56dim CD57dim CD69+CCR7+KIR+ NK cells in TILN. TILN NK cells display robust cytotoxic activity against autologous melanoma cells. In the blood of metastatic melanoma patients, the frequency of NK cells expressing the receptors for CXCL8 receptor is increased compared with healthy subjects, and blood NK cells also express the receptors for CCL2 and IL-6. These factors are produced in high amount in TILN and in vitro switch the phenotype of blood NK cells from healthy donors to the phenotype associated with TILN. Our data suggest that the microenvironment of TILN generates and/or recruits a particularly effective NK cell subset.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer