Abstract
The natural cytotoxicity receptors (NCRs; NKp30, NKp44, and NKp46) were first defined as activating receptors on human NK cells that are important in recognition of and response to tumors. A flurry of recent research, however, has revealed that differential splicing can occur during transcription of each of the NCR genes, resulting in some transcripts that encode receptor isoforms with inhibitory functions. These alternative transcripts can arise in certain tissue microenvironments and appear to be induced by cytokines. Evidence indicates that some of the inhibitory NCRs are triggered by specific ligands, such as the interaction of the inhibitory isoform of NKp44 with PCNA on the surface of tumor cells. Here, we review the different NCR splice variants, cytokines that modulate their expression, their functional impacts on innate immune cells, and their differential expression in the contexts of cancer, pregnancy, and infections. The recent discovery of these inhibitory NCR isoforms has revealed novel innate immune checkpoints, many of which still lack defined ligands and clear mechanisms driving their expression. These NCR checkpoint pathways offer exciting potential therapeutic targets to manipulate innate immune functions under defined pathological conditions, such as cancer, pregnancy disorders, and pathogen exposure.
Keywords: NKp30, NKp44, NKp46, Splice variants, Isoforms, Immune checkpoints
Introduction
The family of natural cytotoxicity receptors (NCRs) is comprised of NKp46 (NCR1, CD335), NKp44 (NCR2, CD336), and NKp30 (NCR3, CD337) [1]. These three receptors were first characterized on human natural killer (NK) cells. NCR-mediated NK cell activation results in lysis of target cells and secretion of cytokines, mainly IFNγ and TNFα [2–5]. NKp46 and NKp30 are expressed constitutively on the cell membrane of human peripheral blood NK (pNK) cells, while NKp44 protein expression requires stimulation with IL-2, IL-15, or IL-1β, primarily on the CD56bright subset [6, 7]. An exception for NKp44 protein expression is decidual NK (dNK) cells, which constitutively express NKp44 and can secrete placenta-associated cytokines, such as VEGF, IL-10, and PLGF that promote tissue remodeling [8, 9]. NKp44 protein expression was also observed on intratumoral NK cells, innate lymphoid cell type 3 (ILC3), plasmacytoid dendritic cells (pDCs), and Natural Killer T (NKT) cells [10–14]. Since the discovery of NCRs in the late 1990s, the role of those receptors in immune surveillance has been intensely studied in cancer, viral and bacterial infections, pregnancy, and autoimmunity [1, 15, 16].
NKp30 and NKp44 are encoded by the NCR3 and NCR2 genes, respectively, which are both located on chromosome 6 in the human MHC class III locus [17]. NKp46 is encoded by the NCR1 gene located on chromosome 19 near the leukocyte regulatory complex [18]. The NKp30 and NKp44 proteins are characterized by a single V-type Ig-like extracellular domain, while NKp46 protein has two extracellular C2-type Ig-like domains (domain 1 “D1” domain 2 “D2”, respectively) [1, 19–21]. The transmembrane domain of the NCRs contains a positive amino acid, either arginine (for NKp30 and NKp46) or lysine for NKp44. The transmembrane positive amino acid facilitates the activating signal from each receptor by facilitating association with a corresponding negative charged residue in a transmembrane adaptor protein that contains an immunoreceptor tyrosine-based activation motif (ITAM). In this way, both NKp30 and NKp46 associate with CD3ζ and FcεRI-γ, while NKp44 is associated with DAP12, which is essential for the membrane expression of NKp44 (Fig. 1) [22].
NKp46 was the first natural cytotoxic receptor to be discovered in the NCR family and is the only receptor that has a homologous gene in Mus musculus (ncr1/Ly94) [5]. An NKp30 pseudogene is found in 12 mouse strains, however, and a functional ncr3 gene was found in Mus caroli [23]. The presence of the NKp44 gene (NCR2) was first shown only in H. sapiens, but later was found also in non-human primates that also express the NKp44 protein in their NK cells [24]. Thus, NKp44 is the newest member in the evolution of the NCR family, and its function may be relevant only in primates. This should be taken into account when studying NCR-mediated NK function using mouse models [25].
NKp30 splice variant profiles
The mRNA of the NCR3 gene is transcribed as four exons, and these can be differentially spliced (Fig. 2a). NKp30 splice variants that have been studied to date are NKp30a, NKp30b, and NKp30c (NCBI; Accession: NM_147130.2, NM_001145466.1, and NM_001145467.1, respectively). NKp30a-c splice variants differ from each other at exon no. 4 due to splicing events, resulting in a variable NKp30 intracellular domain. Other NKp30 splice variants that have been described are NKp30d, NKp30e, and NKp30f that encode a C-type Ig domain with the corresponding intracellular domains of NKp30b, NKp30a, and NKp30c, respectively (Fig. 1a) [23]. The NKp30 splice variants can only be detected at the mRNA level, as there is no available specific antibody for each of the NKp30 isoform proteins. Both NKp30a and NKp30b lead to NK cell activation that is mediated by association with CD3ζ. On the other hand, NKp30c has a weak association to CD3ζ and leads to the activation of p38 MAP kinase, resulting in secretion of IL-10 by NK cells and immunosuppression [26]. However, NK cells express all three NKp30 splice variants, yet the functional outcome depends on the expression pattern of NKp30a, NKp30b, and NKp30c [26]. Therefore, NKp30 splice variant profiles have been classified based on the relative abundance of the splice variants; namely: the activating NKp30a/b profile and the inhibitory NKp30c profile [26]. The impact of NKp30 splice variant profiles in cancer is yet to be fully understood and was tested also in viral infection [27, 28]. NKp30 splice variant profiles were described in tumor infiltrating lymphocytes (TILs) from gastrointestinal stromal tumor (GIST) patients that were treated with Imatinib [26]. GIST patients with a predominant NKp30c profile had lower survival rate. Furthermore, in 50% of the patients, the NKp30c profile was associated with single-nucleotide polymorphism (SNP) in the NCR3 gene, resulting in two haplotype groups (Table 1; [26]). Subsequently, NKp30 splice variant profiles were also described to have an effect in neuroblastoma, melanoma, and NSCLC patients (Table 1; [29–32]). Moreover, NKp30 splice variant profiles from PBMC were recently suggested to be prognostic predictive biomarkers in patients with metastatic GIST (Table 1; [33]).
Table 1.
Article | Model/targets | Conditions/effectors | Results |
---|---|---|---|
Delahaye et al. (Nat. Med. 2011) [26] | INFγ and TNFα, secretion following NKp30 ligation or recognition of iDCs or mDCs or HeLa cells, IL-12p7 secretion by mDCs. Lysis of K562. Secretion of IL-10 follow incubation with HeLa cells or iDCs. Association with CD3ζ, activation of mitogen-activated protein | NKL | NKp30 ligation or HeLa cells had no effect on INFγ secretion, co-incubation with iDCs or mDCs led to secretion of TNFα, mDCs secretion of IL-12p7. No K562 lysis. Low effect on IL-10 secretion |
NKL overexpressing NKp30a | NKp30 ligation or HeLa cells increase INFγ secretion, co-incubation with iDCs or mDCs increases the secretion of INFγ and TNFα, increased mDCs secretion of IL-12p7. High K562 lysis. Low IL-10 secretion. Strong association with CD3ζ. Weak activation of p38 mitogen-activated protein kinase | ||
NKL overexpressing NKp30b | NKp30 ligation but not HeLa cells increases INFγ secretion, co-incubation with iDCs or mDCs increases the secretion of INFγ and TNFα, increased mDCs secretion of IL-12p7. Moderate K562 lysis. No effect on IL-10 secretion. Strong association with CD3ζ. Weak activation of p38 mitogen-activated protein kinase | ||
NKL overexpressing NKp30c | NKp30 ligation or HeLa cells had no effect on INFγ secretion, co-incubation with iDCs or mDCs led to secretion of TNFα, mDC secretion of IL-12p7. No K562 lysis. Increased IL-10 secretion. Weak association with CD3ζ. Strong activation of p38 mitogen-activated protein kinase | ||
qPCR analysis of NKp30 splice variants using TaqMan in healthy volunteers or individuals with GIST. NKp30 ligation effect on TNFα, CD107a, IκBα degradation. Survival of GIST patients | NKp30a/b profile | Dominant expression of NKp30b, similar levels of NKp30a and NKp30c. Higher levels of TNFα, and CD107a, faster IκBα degradation relative to NKp30C. Associated with increased survival of GIST patients | |
NKp30c profile | Dominant expression of NKp30b, higher levels of NKp30c relative to NKp30a. lower levels of TNFα, and CD107a, delayed IκBα degradation relative to NKp30a/b. Associated with reduced survival of GIST patients | ||
Prada et al. (Oncoimmunology 2013) [27] | 89 Therapy-naive HIV-1-infected individuals checked for spontaneous disease progression | NKp30 splice variants profiles | No role in the outcome of HIV-1 infection |
Semeraro and Rusakiewicz et al. (Sci Transl Med 2015) [31] | NKp30 protein expression, qPCR analysis using TaqMan of NKp30 splice variants in neuroblastoma patients | Healthy volunteers (HV) vs. localized disease vs. metastatic disease | Increased NKp30 levels in localized disease PBMC. Reduced NKp30 levels in metastatic disease BM. NKp30 splice variants; ΔBC and ΔAC but not ΔAB were reduced in metastatic disease. ΔBC in patients with minimal residual disease correlate with progression-free survival |
Shemesh and Tirosh et al. (Front. Immunol. 2015) [35] | qPCR analysis of NKp30 splice variants using SYBR and correlation to INFγ, TNFα IL-10, PLGF and VEGF-A in 1st trimester placenta tissue and PBMC from elective, sporadic, and recurrent abortions | PBMC | No significant change was observed in NKp30 mRNA levels between the study groups. NKp30c but not NKp30a or NKp30b, was higher in PBMC from sporadic + recurrent abortions. No correlation to INFγ, TNFα IL-10, PLGF and VEGF-A |
Placenta tissue | No significant change was observed in NKp30 mRNA levels between the study groups. NKp30a and NKp30b but not NKp30c were higher in placenta tissue from sporadic + recurrent abortions. NKp30a and NKp30b show strong positive correlation to INFγ, TNFα IL-10 and VEGF-A in the elective abortions group. Strong negative correlation to PLGF in the sporadic or recurrent groups | ||
Mantovani et al. (Immunology. 2015) [28] | Expression of NKp30 protein and NKp30 splice variants using TaqMan in PBMC, redirected functional assay with P815 cells using anti-NKp30 mAb | Healthy donors (HD) | Predominant NKp30a/b profile |
HCV + patients | Reduced NKp30. Predominant NKp30a/b profile; subdivided into: HCV-1 cluster (similar to HD) or HCV-2 cluster (reduced NKp30 levels and higher activity associated with relatively higher levels of NKp30a) | ||
Siewiera et al. (Nature communications 2015) [34] | qPCR analysis of NKp30 splice variants using SYBR Green, mAb ligation of NKp30 co-ligation of NKp30 and NKp46, immune synapse formation | Fresh isolated Human decidual NK cells | Low levels of NKp30a and NKp30b, high levels of NKp30c, no effect on CD107a, and co-ligation with NKp46 had no effect. Low immune synapse formation |
IL-15; overnight stimulation, isolated human primary NK cells | High levels of NKp30a and NKp30b, low levels of NKp30c, increased CD107a, co-ligation with NKp46 had no effect. High immune synapse formation | ||
Cytokine stimulation of isolated human primary NK cells for 6 days. NKp30 splice variant analysis by qPCR using SYBR Green. Expression of NKp44 splice variants relative to pNK cells cultured in cytokine free medium with or without lysis of P815 target cells or cytokine secretion after mAb ligation of NKp30 | IL-15 | High levels of NKp30a and NKp30b relative to NKp30c | |
IL-18 | High levels of NKp30a and NKp30b relative to NKp30c | ||
IL-15/IL-18 | High levels of NKp30a and NKp30b relative to NKp30c, increased lysis, increased secretion of TNFα/IFNγ/CCL3/VEGF-A | ||
TGFβ | Reduced NKp30 mRNA, High levels of NKp30c relative to NKp30a and NKp30b | ||
TGFβ/IL-15 | High levels of NKp30b and NKp30c relative to NKp30a | ||
TGFβ/IL-18 | Reduced NKp30 mRNA, High levels of NKp30c relative to NKp30a and NKp30b | ||
TGFβ/IL-15/IL-18 | High levels of NKp30b and NKp30c relative to NKp30a, increased lysis, increased secretion of TNFα/IFNγ/CCL3/VEGF-A | ||
Shemesh et al. (Oncotarget 2016) [37] | RNAseq data of Breast, Lung, Cervical/Uterine, Kidney, Gastrointestinal tract organs, Gastrointestinal (GI) tract accessory organs solid tumors (TCGA) | Solid tumor samples vs. matched normal tissue | Predominant NKp30a/b profile in the tumor and normal tissues, comparison of matched tumor and normal tissue samples revealed shift between NKp30a/b to NKp30c and NKp30c to NKp30a/b |
Messaoudene et al. (Oncoimmunology 2016) [29] | Expression of NKp30 protein and qPCR analysis NKp30 splice variants using TaqMan in PBMC, transcript levels of NKp46 | Healthy volunteers (HV) | Positive for NKp30a, NKp30b and NKp30c |
Melanoma patients | Reduced NKp30 levels relative to HV, similar NKp30 splice variant profile relative to HV; higher NKp30c in patients with stage IV. No effect on patient survival from day of sampling. NKp46 levels subdivided stage IV patients to NKp46high and NKp46low; patient survival positively correlated with NKp46 levels | ||
Long-term survivor (LS) melanoma patients | High NKp46 levels as compared to HV and stage IV patients. With higher expression of NKp30a | ||
Rusakiewicza et al. (Oncoimmunology 2017) [33] | qPCR analysis of NKp30 splice variants using TaqMan in PBMC and GIST tumorsamples | Metastatic GIST patients relative to HD | NKp30 splice variants; ΔBC and ΔAC but not ΔAB were reduced. ΔBC was best predictor for overall patient survival and event-free survival |
Fend et al. (Oncoimmunology 2017) [32] | qPCR analysis of NKp46 and NKp30 mRNA and splice variant profiles using TaqMan | PBMC from NSCLC patients relative to HD | Reduced NKp46 and NKp30 significantly elevated ΔAB and ΔAC, reduced ΔBC. Low levels of NKp30 had negative prognostic impact on overall survival with no effect of ΔAB, ΔAC, and ΔBC |
The influence of the microenvironment on NKp30 splice variant profiles was also examined [34, 35]. NKp30 is expressed in dNK cells and human primary trophoblasts cells express NKp30 ligands [8]. The expression profile of NKp30 splice variants in PBMC and matched placenta tissue in women that undergo elective, sporadic or recurrent first trimester abortion, showed matched cases with different NKp30 splice variant profiles, indicating that the placenta microenvironment can influence the NKp30 splice variants expression pattern (Table 1; [35]). Decidua-enriched cytokines have been shown to influence NKp30 splice variant profiles [34]. IL-15 and IL-18 induce the expression of both NKp30a and NKp30b relative to NKp30c. The presence of TGF-β, with IL-15 and/or IL-18 combinations, resulted in higher expression of NKp30c relative to NKp30a (Table 1; [34]). TGF-β is abundant in the placenta and tumor microenvironment [34]. Intratumoral NK cells share phonotypical characterization with dNK cells (CD3−, CD56bright and CD16−) [36]. Analysis of NKp30 splice variant profiles in tumor and matched normal tissues in different organs revealed higher incidence of NKp30a/b profile relative to NKp30c profile [37]. The NKp30a/b profile was more abundant both in the tumor and in the normal tissues. However, in 50% of the matched cases, NKp30 splice variant profiles were shifted from NKp30a/b to NKp30c and from NKp30c to NKp30a, indicating the flexible nature of NKp30 splice variant expression (Table 1; [37]).
NKp44 splice variant profiles
Among the NCR family, NKp44 is a unique receptor, as its expression on the cell membrane of NK cells requires stimulation [6, 7]. NCR2 gene is transcribed as six exons and three splice variants NKp44-1, NKp44-2, NKp44-3 (Fig. 2b, NCBI; Accession: NM_004828.3, NM_001199509.1, and NM_001199510.1, respectively). However, NKp44-1, but not NKp44-2 or NKp44-3, has an immunoreceptor tyrosine-based inhibition motif (ITIM)-like sequence, encoded by exon six, as part of its cytoplasmic tail. Alternative splicing events in NKp44-2 and NKp44-3 result in the expression of exon five, leading to an early stop codon on exon six and a shorter cytoplasmic tail without the ITIM (Figs. 1b, 2b). Proliferating cell nuclear antigen (PCNA) is an inhibitory ligand of NKp44 [38–40]. PCNA expression was associated with inhibition of NK cells in endometrial carcinoma [41]. The ITIM on the NKp44-1 intracellular domain was shown to be essential for NKp44-mediated inhibition of NK cell function when exposed to HeLa cells overexpressing PCNA (Table 2; [38]). The inhibitory nature of NKp44 was also observed in pDC and was linked to reduced secretion of IFNα and lysis function [11, 12]. Expressing the ITIM sequence of NKp44-1 fused to KIR3DL1 in NK92 cells, however, did not result in SHP-1, SHP-2, or SHIP recruitment, even when the ITIM tyrosine was phosphorylated by pervanadate stimulation [22]. Furthermore, the ITIM-containing NKp44 cytoplasmic domain in this chimeric receptor could not elicit inhibitory function following mAb engagement in redirected assays using the P815 model system [22]. These early results suggested that the ITIM-like sequence in NKp44-1 was incapable of inhibitory function using mAb-redirected assay (Table 2; [22]).
Table 2.
Article | Model/targets | Conditions/effectors | Results | |
---|---|---|---|---|
Campbell et al. (J. Immunol. 2004) [22] | Chimeric KIR3DL1/KIR2DL4 fusion protein. Redirected P815 target cell lysis model using anti KIR3DL1 mAb | 3DL1.p44.wt chimeric receptor, NK-92 cells | No inhibition. Tyrosine phosphorylation of NKp44 ITIM. No SHP-1, SHP-2, SHIP recruitment or binding. No AP-2 clathrin adaptor μ2 association | |
Rosental, Brusilovsky, and Hadad et al. (J. Immunol. 2011) [38] | PCNA overexpression in HeLa cells | IL-2 stimulated human primary NK cells | Reduced IFNγ secretion and lysis | |
NKL | No effect on IFNγ secretion and lysis | |||
PCNA overexpression in HeLa cells or PCNA siRNA in HeLa, PCNA-1, MCF7, Du145, U251, and A375 cell lines | NK-92 | No effect on IFNγ secretion and lysis | ||
NK-92-NKp44(ITIM+) | Reduced IFNγ secretion and lysis relative to NK-92 cells | |||
PCNA overexpression in HeLa cells | NK92-44Δ204E (ITIM deletion) | No effect on IFNγ secretion, lysis and CD107a degranulation relative to NK-92 cells | ||
NK92-44Y238F (ITIM mutation) | No effect on IFNγ secretion, lysis and CD107a degranulation relative to NK-92 cells | |||
Horton et al. (PloS One 2013) [39] | Membranal PCNA/HLA-I complex on DB cells | NK-92MI | mAb blocking of NKp44 increased lysis of target cells | |
IL-2 stimulated human primary NK cells | mAb blocking of NKp44 increased lysis of target cells | |||
Siewiera et al. (Nature communications 2015) [34] | mAb ligation of NKp44, mAbs co-ligation of NKp44 and NKp46, qPCR using SYBR green | Fresh isolated Human decidual NK cells | Similar levels of NKp44-1/NKp44-2/NKp44-3. NKp44 ligation had no effect on CD107a with low immune synapse formation. NKp44 and NKp46 co-ligation reduced CD107a | |
IL-15; overnight stimulation, isolated human primary NK cells | Higher level of NKp44-2 relative to NKp44-1 and NKp44-3. NKp44 ligation Increase in CD107a, high immune synapse formation. NKp44 and NKp46 co-ligation had incremental effect on CD107a | |||
Cytokine stimulation of isolated human primary NK cells for 6 days. NKp44 splice variant analysis by qPCR using SYBR green. Expression of NKp44 splice variants relative to pNK cells cultured in cytokine free medium with or without lysis of P815 target cells or cytokine secretion after mAb ligation of NKp44 | IL-15 | Increased expression of NKp44-1 and NKp44-3 | ||
IL-18 | Increased expression of NKp44-2 and NKp44-3 | |||
IL-15/IL-18 | Increased expression of NKp44-1 and NKp44-3, increased lysis, increased secretion of TNFα/IFNγ/CCL3/VEGF-A | |||
TGFβ | Increased expression of NKp44-1, No effect on lysis or on the secretion of TNFα/IFNγ/CCL3/VEGF-A | |||
TGFβ/IL-15 | Increased expression of NKp44-1 and NKp44-3 | |||
TGFβ/IL-18 | Increased expression of NKp44-3 | |||
TGFβ/IL-15/IL-18 | Increased expression of NKp44-1 and NKp44-3, increased lysis, increased secretion of TNFα/IFNγ/CCL3/VEGF-A | |||
Shemesh, Brusilovsky et al. (Oncotarget 2016) [13] | Human PBMC. Analysis of NKp44 protein by flow-cytometry and NKp44 splice variants by qPCR using TaqMan | Fresh | No NKp44 protein expression. Basal NKp44 mRNA levels; similar levels of NKp44-1, NKp44-2 and NKp44-3 | |
IL-2 or IL-15 stimulation for 6 days | NKp44 protein expression on NK/ NKT cells. Increased NKp44 mRNA; Higher levels of NKp44-1 and NKp44-3 relative to NKp44-2 | |||
Isolated human primary NK cells/ analysis of NKp44 protein by flow-cytometry and NKp44 splice variants by qPCR using TaqMan. Lysis assay against PCNA-overexpressing HeLa cells and THP1 with or without mAb blocking of NKp44 | Fresh | No protein expression. Basal NKp44 mRNA; similar levels of NKp44-1, NKp44-2, and NKp44-3. No lysis | ||
IL-2 or IL-15 stimulation for 6 days | NKp44 protein expression on NK cells. Increase NKp44 mRNA; Higher level of NKp44-1 and NKp44-3 relative to NKp44-2. NKp44-1 > 66% of NKp44 mRNA. Reduced lysis of PCNA-overexpressing HeLa cells. Blocking NKp44 increased the lysis of HeLa and THP1 cells | |||
Human NK cell lines with or without NKp44 splice variant overexpression. NKp44 splice variant analysis by qPCR using TaqMan. IFNγ secretion, lysis, and immune synapse formation using a PCNA-overexpressing HeLa cell model | KHYG1 or NK-92 | NKp44-1 and NKp44-3 are co-dominantly expressed. No reduction in lysis of IFNγ secretion | ||
NK-92-NKp44-1, NK-92-NKp44-2, NK-92-NKp44-3 | NKp44-1 overexpression but not NKp44-2 or NKp44-3, reduced lysis, IFNγ secretion, and immune synapse formation | |||
RNAseq data of acute myeloid leukemia patients. (TCGA). PBMC samples. Survival of newly diagnosed patients | Solitary profile of NKp44-1 vs. mix profile of NKp44 splice variants vs. NKp44 negative samples | Solitary expression of NKp44-1 was significantly associated with poor survival of newly diagnosed AML patients | ||
Shemesh et al. (Oncotarget 2016) [37] | qPCR analysis of NKp44 splice variants using TaqMan | First trimester placental tissue; Elective vs. Spontaneous abortions | Elective abortions; NKp44-1 expression > 66% of NKp44 mRNA in 80% of the cases. Spontaneous abortions; NKp44-1 expression < 66% of NKp44 mRNA in 80% of the cases | |
Third trimester placental tissue; Term labor vs. Preeclampsia labor | Term labors; NKp44-1 expression > 66% of NKp44 mRNA in 80% of the cases. Preeclampsia labor; NKp44-1 expression > 66% of NKp44 mRNA in 50% of the cases | |||
Lung cancer tissue; Tumor vs. matched Normal | Higher incidence of NKp44 mRNA in the tumor tissue. NKp44-1 expression > 66% of NKp44 mRNA in 80% of the cases | |||
RNAseq data of Breast, Lung, Cervical/Uterine, Kidney, Gastrointestinal tract organs, Gastrointestinal (GI) tract accessory organs solid tumors (TCGA) | Solid tumor samples vs. matched normal tissue | Higher incidence of NKp44 mRNA in Breast, Lung and Cervical/Uterine tumor tissue. NKp44-1 expression > 66% of NKp44 mRNA in 80% of all the cases |
The effect of decidua-enriched cytokines on the pattern of NKp44 splice variants was also examined [34]. As with NKp30 splice variants, there is no specific mAb against each of the NKp44 isoforms and, therefore, the profiling of NKp44 splice variants is only possible by mRNA analysis. The expression of NKp44 splice variants was compared between pNK cells following overnight stimulation with IL-15 and dNK cells from the same donor, and these results were correlated with NK cell function based on NKp44 mAb ligation [34]. Both pNK and dNK expressed all NKp44 splice variants. However, pNK expressed higher levels of NKp44-2 and lower levels of NKp44-1 and NKp44-3, while dNK expressed similar levels of all NKp44 splice variants. dNK cells are known to express NKp44 protein and have a poor cytotoxic function. NKp44 mAb ligation of dNK did not result in CD107a degranulation, while NKp46 ligation did. However, co-ligation of NKp44 and NKp46 in dNK cells led to reduction in CD107a degranulation as compared to ligation of NKp46 alone, indicating that NKp44 has inhibitory function in these cells [34]. NKp44 mAb ligation did lead to the secretion of IFNγ, VEGF-A, or CCL3 by dNK cells. Stimulation of pNK cells with decidua-enriched cytokines (combination of IL-15, IL-18, and TGF-β) up-regulated the expression of both NKp44-1 and NKp44-3 after 6 days of culture and affected the ability of pNK cells to secrete TNFα, IFNγ, VEGF-A, and CCL3 (Table 2; [34]).
NKp44-mediated inhibition of NK cells following PCNA recognition requires the dominant expression of NKp44-1 relative to NKp44-2 and NKp44-3 [13]. Freshly isolated pNK cells or PBMC express basal levels of NKp44 splice variants that are characterized by similar levels of NKp44-1/NKp44-2/NKp44-3 mRNA, but with a very low-to-negative expression at the NKp44 protein level. Following 6 days of in vitro IL-2/IL-15 stimulation, purified pNK cells up-regulated the expression of NKp44-1, NKp44-2, and NKp44-3 with a dominant expression of NKp44-1 splice variant (NKp44-1 > 66% of NKp44 mRNA, i.e., NKp44-1 profile) [13]. On the other hand, in vitro stimulation of whole PBMC with IL-2/IL-15 leads to co-dominant expression of both NKp44-1 and NKp44-3 (NKp44-1 < 66% of NKp44 mRNA, i.e. NKp44-2/3 profile). KHYG1 cells also exhibit co-dominant expression of NKp44-1 and NKp44-3. In accordance, isolated human pNK cells were inhibited by PCNA overexpressing HeLa cells, while KHYG1 cells were not inhibited. The inhibitory effect of the NKp44-1 profile on pNK cells was blocked using an anti-NKp44 mAb, while overexpression of NKp44-1 but not NKp44-2 or NKp44-3 in NK-92 cells resulted in inhibition by PCNA overexpression (Table 2; [13]).
The differential role of NKp44 splice variant profiles in human pathology was first published from RNAseq data obtained from PBMC samples taken from newly diagnosed AML patients (The human Cancer Genome Atlas) [13]. The examination of RNAseq data obtained from PBMC can better reflect the immune status, as blood samples are more homogenous than solid tumors in their cell composition. Plotting all NKp46+/NKp44+ cases against NKp46+/NKP44− cases with day of death data revealed no difference in patient survival between the two groups. However, when dividing the NKp46+/NKp44+ cases according to their NKp44 splice variant profiles, a significant decrease in patient survival was observed in the group that had an NKp44 splice variant profile with solitary expression of NKp44-1 [13]. Examination of all available risk factors, NKp46 and NKp30 mRNA expression, and NKp30 splice variant expression did not influence the observation (Table 2; [13]).
Tumor cells are known to up-regulate PCNA expression in vivo [37, 41]. The NKp44-1-dominant expression profile was seen in 80% of NKp44 mRNA positive cases of tumor biopsies taken from cancers of the breast, lung, cervix/uterus, kidney, gastrointestinal (GI) tract organs, and GI tract accessory organs, and NKp44 mRNA incidence was increased in the tumor tissue as compared to matched normal tissue [37]. The NKp44-1 profile may facilitate inhibition of intratumoral NK cell function; however, this hypothesis still needs to be further examined in larger cohorts. The interaction of NKp44 splice variants with other reported NKp44 activating ligands is poorly defined. The combined effect of PCNA and NKp44 activating ligands also needs to be further addressed as NKp44-1 splice variant has also been reported to elicit NK cell activation [42]. Consistent with the tumor tissue, 80% of placental tissue samples from first trimester elective abortions also exhibit the NKp44-1-dominant profile (Table 2; [37]). Placental microenvironment is known to suppress the maternal immune system to protect the fetus from rejection and human primary trophoblasts cells express NKp44 ligands [8, 43]. On the other hand, 80% of placental samples from the first trimester spontaneous abortions have an NKp44-3-dominant profile. This shift in NKp44 splice variant profile may reflect changes in placental microenvironment factors, such as IL-15, IL-18, and TGF- β that are known to regulate the NCR2 gene. The direct effect of NKp44 splice variants on dNK in respect to the placental microenvironment and unique cell composition is still unclear and should be further explored.
NKp46 splice variant profiles
The NCR1 gene is transcribed as seven exons and five splice variants; NKp46a, NKp46b, NKp46c, NKp46d, and NKp46e (Figs. 1c, 2c, NCBI; Accession: NM_004829.6, NM_001145457.2, NM_001145458.2, NM_ 001242356.2, and NM_001242357.2 respectively). The variation in NKp46 splice variants is mainly in two forms; (1) deletion of exon 3, which encodes the extracellular Ig-like D1 domain (splice variants NKp46d and NKp46e), (2) deletion of exon 6 that encodes for 17 amino acids in the hinge domain (splice variants NKp46c and NKp46d). NKp46a and NKp46b encode the full-length receptor with variation of one amino acid (Fig. 1c). In contrast to NKp44 and NKp30 isoforms, NKp46 isoforms can be partially classified at the protein level with specific antibodies against D1 and D2 Ig-like domains. Long-term stimulation of pNK with IL2 revealed a small NK cell population that expresses NKp46 protein without D1 (NKp46D1−) [44]. The interaction of NKp46 with its ligands was shown to require the D2 but not the D1 domain [45, 46]. Following anti-NKp46/NKp30 mAb stimulation and assessment of CD107a degranulation, the NKp46D1− pNK population manifested higher activity as compared to other pNK cells [44]. Furthermore, the analysis of nasal wash samples with respiratory viral infection for NKp46D1−, NKp46D1+, and total NKp46 mRNA showed that most cases were positive for NKp46D1- mRNA. In contrast, the analysis of PBMC samples revealed that all samples were NKp46D1+ [44].
Innate immune checkpoints and new candidate(s) based on splice variants of NCRs
Activating and inhibitory receptors dynamically modulate the NK cell activation state, delicately balancing the state of activation vs. inhibition [47–49]. Immune surveillance via recognition of class I HLA molecules on the surface of normal or target cells by inhibitory killer-cell Ig-like receptors (KIR) and CD94/NKG2A provide a dominant early innate immune checkpoint [50]. The loss of class I HLA recognition favors activation, overcoming immune escape by the target cell and allowing signals from activating receptors (e.g., NCRs) to predominate [26, 38, 51]. Immune surveillance via pattern recognition provides a secondary late innate immune checkpoint and is characterized by engagement of NCRs that can recognize ligands on tumor and virus infected cells independently of HLA expression [52]. The pattern recognition by NCRs ultimately depends on how the pathogen or malignant transformation modulates the expression of endogenous proteins (e.g., B7-H6 or PCNA) or on direct recognition of pathogen-associated molecules (e.g., HA-NA or pp65) [38, 53–55]. Tumors can escape both immune checkpoints by either masking target cell surface class I HLA molecules or by taking advantage of the differential pattern recognition outcomes (i.e., suppression vs. activation) by specific NCRs isoforms [26, 38]. While the early innate immune checkpoint is often missed and, therefore, appears to be difficult to tackle, the later checkpoint provides more opportunities for targeting by either mAbs or small molecule drug-based therapy. These therapeutic approaches might potentially aim to interfere with a receptor–ligand interaction via targeting NCR itself or its suppressive ligand. When considering NCRs for checkpoint-based therapeutics, NKp44 and NKp30 do have inhibitory isoforms, but mAb-based treatment is challenging, since the structural differences between isoforms (inhibitory vs. activation) are within the transmembrane/cytoplasmic domains (Figs. 1, 2). Therefore, when considering NCR ligands, the membrane-associated PCNA (mediating inhibition through the NKp44-1 isoform) could be considered as a more appropriate target for mAb-based checkpoint therapeutics for cancer, as compared to B7–H6, which was reported to activate all isoforms of NKp30 (inhibitory and activating).
Concluding remarks
The data provided here show the importance of NCR splice variant profiles in a variety of human pathologies. The functional outcomes mediated through NKp30, NKp44, and NKp46 still need to be defined with respect to known and unknown NCR splice variants and other cell types. It is important to note that NCRs are expressed on a wide array of immune cells, including type 1, 2, and 3 innate lymphoid cells (ILCs), γδT and αβT cells, and NKT cells, which play important roles in the immune response toward a variety of bacteria and helminth infections, cancer immunity, and fat tissue metabolism. The characterization of NCR splice variants in NK cell function and tumor and placental microenvironment has opened a window that reveals novel molecular mechanisms by which the three NCRs regulate innate immune functions and identifies new targets to modulate these pathways in the clinic.
Abbreviations
- CCL
Chemokine (C–C motif) ligand
- D1
Domain-1
- D2
Domain-2
- DAP12
DNAX-activation protein 12
- GI
Gastrointestinal
- GIST
Gastrointestinal stromal tumor
- HA
Hemagglutinin
- ILCs
Innate lymphoid cells
- KIR
Killer-cell immunoglobulin-like receptors
- LY94
Lymphocyte antigen 94
- NA
Neuraminidase
- NCRs
Natural cytotoxicity receptors
- NCR1
Natural cytotoxicity receptor 1
- NCR2
Natural cytotoxicity receptor 2
- NCR3
Natural cytotoxicity receptor 3
- NKG2A
Natural killer G2A
- NKT
Natural killer T
- PCNA
Proliferating cell nuclear antigen
- pDCs
Plasmacytoid dendritic cells
- pNK
Peripheral blood NK
- pp65
Cytomegalovirus pp65
- SHP
Small heterodimer partner
- TGF-β
Transforming growth factor beta
Author contributions
AS, MB, KSC, and AP wrote the manuscript. AS, MB, KK, AO, KSC, and AP edited the manuscript.
Compliance with ethical standards
Funding
The splice variants studies from Angel Porgador laboratory described in this review were supported by the Israel Science Foundation Grant 1188/16 (Angel Porgador), the US/Israel Binational Science Foundation Grant 2015344 (Angel Porgador and Kerry S. Campbell), the Israeli Ministry of Science and Technology/German Cancer Research Center program Grant CA172 (Angel Porgador), and the Israeli Ministry of Science and Technology Grant 54180 (Angel Porgador).
Conflict of interest
The authors have declared that no conflict of interest exists.
Footnotes
This paper is a Focussed Research Review based on a presentation given at the Fifth International Conference on Cancer Immunotherapy and Immunomonitoring (CITIM 2017), held in Prague, Czech Republic, 24th–27th April 2017. It is part of a series of Focussed Research Reviews and meeting report in Cancer Immunology, Immunotherapy.
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