Background
Significant advances have been made in understanding the immune surveillance mechanisms in identifying and destroying tumour cells [
1,
2]. The importance of adaptive immunity [
3] as a key effector cell mechanism in cancer control is now well documented. In colorectal cancer, infiltration of effector memory CD8+ T cells is associated with a reduction in early invasion and improved survival [
4]. Over the past 20 years many tumour specific antigens have been identified which has led to clinical trials of vaccines, adjuvants, therapeutic antibodies and adoptive T cell immunotherapies. However key limitations remain in targeted cancer immunotherapy [
5]. The prevailing ability of the tumour cells to evade recognition by the immune system gave rise to the concept of immunoediting [
6].
Another cell population that has been implicated in immune defence against tumour cells are natural killer (NK) lymphocytes. Infiltration of NK cells is a recognised feature of most cancers [
2,
7]. Unlike adaptive immune responses, NK cells are not antigen specific and rather identify tumour cells through expression of stress molecules or lack of major histocompatibility complex (MHC-I) receptors ‘missing self’ [
8]. NK cells are a prototype of a newly discovered family of innate haematopoietic cells (innate lymphoid cells, ILC) with effector functions parallel to adaptive T cell lymphocytes. Three groups of ILC have been characterized based on signature cytokine secretion profile and expression of transcription factors. Group 1 ILC have cytotoxic abilities and the capacity to produce IFN-γ and TNF-α. Their effector function depends on expression of T-bet and Eomes transcription factors. NK cells and ILC1 contribute to this group of ILC [
9]. Group 2 ILC are mainly implicated in allergic responses [
10,
11] and defence against helminth infections but also have roles in epithelial repair and metabolic homeostasis. They produce IL-13, IL-4 and IL-5 and similar to Th2 lymphocytes express GATA-3 and ROR-α transcription factors [
12]. Group 3 ILC are a RORγt-dependent group of ILC including lymphoid tissue inducers (LTi), natural cytotoxicity receptor (NCR)
+ and NCR
− ILC3s. LTis are essential for generation of lymph nodes, Peyer’s patches and isolated lymphoid follicles. Similar to Th17 and Th22, ILC3s produce IL-17A and IL-22 [
12,
13].
Given that ILC are mainly located in pathogen entry sites e.g. mucosal surfaces of gastrointestinal tract, respiratory system and the skin, their main function was considered to be protection against infections. However, recent data show that ILC also contribute to immunity against cancer in mice [
14]. Dadi and colleagues have identified an unconventional population of TCR
− NK1.1
+ CD49a
hi cells in mammary tumour tissue of MMTV-PyMT (PyMT) mice [
15]. Due to their distinct features they were designated ‘type 1-like ILC’. These cells expressed high levels of granzyme B and exhibited cytolytic activity towards malignant cells [
15]. In another study, IL-22 produced by ILC3s promoted bacteria-induced colorectal cancer (CRC) in genetically susceptible 129SvEv.RAG
−/− mice when infected with H.
hepaticus and treated with the carcinogen azoxymethane (AOM) [
16]. Furthermore, higher frequencies of CD3
− IL-22
+ cells have been observed in the tumour tissue of patients with CRC [
16].
ILC2 and ILC2 related genes (RORα, GATA3, T1/ST2, IL-17RB, CRTH2, IL-33, IL-5, and IL-4) were increased in the peripheral blood of patients with gastric cancer compared to healthy controls [
17]. Jovanovic et al. showed accumulation of IL-13-producing Lin
− Sca-1
+ ST2
+ innate lymphoid cells (ILC) and reduction of NK cells in 4 T1 breast cancer model following administration of IL-33. IL-33 promoted tumor growth, development of lung and liver metastases, intratumoral cell proliferation and neovascularisation [
18].
While ILC family sub-populations have been investigated in animal models, the role of these cells in protection against human malignancy has been less explored. Nonetheless the potential contribution of these cells has been reviewed extensively [
19‐
23]. Here we examined the frequency of the ILC family in tumour tissues and studied their phenotypic changes.
Methods
Patient selection and sample preparation
Samples were obtained from 13 patients with gastrointestinal tumours, 16 patients with malignant breast cancer and 5 patients with benign breast tumours that underwent surgical removal of tumour tissue (Additional file
1: Table S1). Gastrointestinal tumours comprised esophageal, gastric, colon and rectal tumours. Peripheral blood was taken from each patient before commencing anaesthesia. The samples were provided by Xinjiang Tumour hospital and ethical approval was obtained from Xinjiang Tumour Hospital ethical committee and Oxford Tropical Research Ethics Committee (587–16) and London - City & East Research Ethics Committee (16/LO/1607).
Tumor tissue samples were washed repeatedly and then immediately dissociated into single-cell suspensions following surgery using tumour dissociation kit (Miltenyi Biotec 130–095-929). Solution A, Solution B and Solution C from tumor dissociation kit were dissolved by sterile PBS solution and aliquoted into small tubes stored at − 20 degrees. Briefly, samples were cut into small pieces, (1-3 mm) and transferred into C tubes (Miltenyi Biotec 130–096-334). Before loading the C tube into gentleMACS Octo-dissociator (Miltenyi Biotec 130–096-427), 1 unit of Solution A, Solution B and Solution C were added into C tube containing 10 ml RPMI1640. The tubes were then run on ‘h_tumor_01’ and ‘h_tumor_02’ programmes respectively with intervals of 30- min incubation at 37 ͦC with rotation. Following second incubation the tubes were run on ‘h_tumor_3’ programme and samples passed through 70 μm strainer. The cells were centrifuged and washed with RPMI 1640 medium. The enzymatic degradation steps were removed for dissociation of gastrointestinal tumours as this did not render any benefits in terms of cell yield. PBMCs were isolated from whole blood samples using ficoll density gradient centrifugation.
Flow cytometry
The following anti human antibodies were purchased from Biolegend unless stated otherwise. CD19 (SJ25C1; BD Biosciences), CD11b (DCIS1/18; Abcam), CD11c (BU15), FcεRI (AER-37 (CRA-1)), CD14 (MφP9; BD Biosciences), TCRαβ (IP26), TCRγδ (B1), CD3 (SK7 and OKT3), CD45 (H130), CRTH2 (BM16; Miltenyi Biotec), CD127 (A019D5), c-Kit (104D2), CD44 (G45–26 and IM7), CCR7 (G043H7), PD-1 (EH12.2H7), CTLA-4 (L3D10 and BNI3 BD Biosciences), CD56 (HCD56 and 5.1H1L), CD69 (FN50), KLRG1 (SA231A2), MHC II (L243) and LIVE/DEAD Fixable Violet Dead Cell Stain Kit. Lineage stains were combined through a single channel, which allowed ILC phenotypic marker assessment but limited the potential to correlate with other cell populations.
Samples were acquired using FACSDiva software on LSR Fortessa (Becton Dickson). The flow cytometry data were analysed using FlowJo software.
Discussion
Since identification of the innate lymphoid cell family, their emerging roles have included immunity, tissue repair, metabolism and inflammation. A role in tumorigenesis and/or cancer control has been raised but the data are largely based on animal model studies [
15,
19,
21]. Understanding of immune regulation of malignancies is important for the development of future therapeutic strategies. Here, albeit with caveat of the challenges of cell numbers obtained when handling human tissue biopsies, we show enrichment of ILC populations within different cancers, together with altered activation status. These findings would support a role for ILC in cancer pathogenesis, however such correlative data do not prove causality.
IFN-γ is the cardinal cytokine produced by ILC1 and it is a critical regulator of anti-tumour responses. The anti-proliferative activity of IFN-γ is mediated by activation of STAT-1 and induction of p21
WAF1/CIP1 and p27
Kip1 that bind to cyclin dependent kinases-2 and 4 (CDK) [
51]. IFN-γ/STAT1 pathway also induces caspase 1, FAS and FASL and promotes apoptosis [
52]. Production of IFN-γ by NKT cells enhances cytolytic activity of NK effector cells [
53]. The anti-tumour activity of ILC1 like cells were shown in a PyMT mouse mammary tumor model. These cells express high levels of NK1.1, CD49a, CD103, granzyme B and TRAIL. ILC1 exhibit potent cytotoxicity against mammary tumours and inhibit cancer growth [
15]. Here we observed enrichment of NK and ILC1 cells in malignant gastrointestinal tumours compared to the adjacent tissue.
On the contrary to ILC1 and NK cells, cytokines that activate group 2 ILC may be more protumourigenic. For example, IL-33 promotes chronic inflammation and tumour development in some models. Serum levels of IL-33 are increased in breast, lung, gastric and hepatocellular carcinomas. Blocking IL-33 receptor (ST2) reduced generation and size of tumours in a colon cancer model [
54]. In addition, type 2 cytokines are shown to promote generation of tumours. IL-13 can induce progression of prostate tumours [
55] and enhance M2 phenotype polarization of macrophages [
56]. In patients with gastric cancer, a higher frequency of ILC2 was observed in peripheral blood and was thought to contribute to an immunosuppressive microenvironment [
17]. Furthermore, an increase in endogenous levels of IL-33 were observed in the 4 T1 model of breast cancer that correlated with cancer progression and metastasis. ILC2, alternatively activated M2 macrophages and myeloid derived suppressor cells accumulate in intramural tissue following administration of IL-33 [
18]. Similar to observations in the 4 T1 mouse model of breast cancer, we detected higher frequency of activated ILC2 in human malignant breast tumour tissue compared to benign tissue.
Both pro- and anti- tumour properties of group 3 innate lymphoid cells have been observed. 129SvEv.RAG
−/− mice infected with H.
hepaticus and treated with the carcinogen azoxymethane (AOM) develop IL-22 dependent colorectal cancer. Colonic ILC3s are thought to be the source of IL-17A and IL-22 and are found in higher frequencies in this model [
16]. In contrast, in human non-small cell lung cancer (NSCLC) NKp44+ ILC3 accumulate in tertiary lymphoid structures. These cells are a source of IL-22, TNF-α, IL-8 and IL-2. ILC3 were found in higher frequencies in early stages of tumour and their presence correlated with density of protective lymphoid structures inside the tumour [
57].
Comparing tumour infiltrating ILC populations with circulating ILC, showed that ILC populations have an activated phenotype in tumour tissue with higher expression of MHC-II, KLRG1, CD69 and CD44. Unlike adaptive immune responses, ILC populations lack RAG-dependent rearranged antigen receptors. They can be activated by direct interactions mediated by pattern recognition receptors (PRR) and natural cytotoxicity receptors (NCR) or indirectly by activating cytokines. Tumour associated ILC are an early source of innate cytokines. Direct interaction with cancer cells and inflammatory tumour microenviroments may contribute to their activated phenotype. Here we present an observational study, but it will clearly be important to proceed to define the underlying mechanistic associations.
Functional diversity of ILC populations combined with expression of similar activatory/ inhibitory receptors make it difficult to extrapolate the use of blocking or activatory agents. For instance blocking inhibitory receptors KLRG1, PD1 and CTLA-4 on ILC1 population may help in increasing production of anti-tumour cytokines, IFN-γ and TNF-α, but as these receptors are also expressed highly on ILC2 population in tumour environments, using blocking agents might contribute to increase in type 2 cytokine production and modulate tumour growth. Further studies are crucial to find strategies to specifically target ILC subpopulations to define underlying mechanisms and new approaches to treatment.
Most studies on the role of innate lymphoid cells in cancer have been done on animal models. Therefore, further clinical investigations in humans are required to define the extent of their role in cancer. It is likely that not only the intrinsic ability of ILC but also the nature of transformed cells and tumour microenvironment are essential determinant factors. Further understanding of their role provides novel targets in immunotherapeutic strategies to treat cancer.
Acknowledgements
We are grateful to the Key laboratory project of Xinjiang, Nature Science Foundation China and Medical Research Council for support. The work was also supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.