Background
Compelling evidence suggests that a pro-inflammatory solid tumor microenvironment composed of CD8 + T lymphocytes is associated with a favorable course of disease [
1‐
3]. In contrast, a solid tumor microenvironment infiltrated by anti-inflammatory cells including tumor-associated macrophages (TAMs) [
4] and regulatory T cells (Tregs) [
5] is an unfavorable prognostic factor, and it is associated with poor prognosis. However, CRC seems to be an exception since inflammation, regardless the type of cellular infiltration including TAMs [
6‐
9] and Tregs [
10], is associated with a favorable prognosis. In this context, however, the role of NK cells is still debated [
11,
12]. The argument involving the role of NK cells in CRC is in part due to the narrowed degree of NK cell infiltration of solid tumors [
12]. The reduced NK cell infiltration in the tumor bed can be, at least in part, explained by the detrimental effect of malignant cells on NK cells. Besides, there is also conflicting information about the clinical relevance of NK cells in CRC [
13‐
15]. Recent findings, however, suggest that intra-tumor NK cell infiltration improves the clinical outcome of CRC by enhancing the protective role of tumor-infiltrating CD8 + T cells [
16]. In addition, loss or down-regulation of HLA class I molecules on autologous CRC cells promotes NK cell cytotoxicity [
17]. Because KIRs are independently segregated, an autologous KIR-HLA mismatched may exist. As a consequence, NK cells can trigger an enhanced cytotoxicity, as compared with NK cells expressing self-recognizing inhibitory KIRs [
18].
KIRs consist of immunoglobulin-like receptors and heterodimers [
19]. Immunoglobulin-like KIRs, with a long intracellular tail (KIRL), mediate inhibitory activity while those with a short intracellular tail (KIRS) can function as activating molecules. The HLA-C antigens are the best-known KIR ligands. Based on polymorphisms at positions 77 and 80, in the α1-domain of the β chain, KIRs can be identified into two additional groups: the HLA-C1 that carries an asparagine residue at position 80, and the HLA-C2 that has a lysine residue at position 80 [
20,
21]. To date, KIR genotyping is utilized for the analysis of gene content and categorization of A/B haplotypes as well as for prediction of NK cell reactivity in autologous and allo NK cell-based immunotherapy [
22,
23]. The A haplotype contains several inhibitory KIR genes and only one activating KIR. Conversely, B haplotype displays more activating KIR genes. Based on the linkage disequilibrium between particular alleles of different KIR loci, within the B haplotype, two gene clusters are identified. The first group consists of four centromeric KIR genes (C4 group), while the second group contains telomeric genes (T4 group) [
24]. Recently, several studies have indicated a relationship between KIR genotype and cancer, but there is scant information about a link between KIR genes and CRC [
25‐
27].
A primary mechanism by which NK cells kill CRC cells is the antibody-dependent cellular cytotoxicity (ADCC). This function is a result of the engagement of the Fc fragment of an antibody to the CD16A antigen on NK cell surface. The extent of ADCC relies on the binding affinity of the Fc fragment of the mAb to CD16A that is in turn regulated by CD16A polymorphisms [
28]. In fact, the presence of valine/valine (V/V), but not valine/phenylalanine (V/F) at position 158, enhances ADCC and human IgG1 binding to CD16A [
29]. Among monoclonal antibodies (mAbs), the anti-epidermal-growth factor receptor (EGFR), namely cetuximab has been successfully utilized for targeting therapy of EGFR+ malignancies including CRC [
30]. Furthermore, cetuximab -activated NK cells have been shown to exert an indirect anti-tumor effect by promoting tumor antigen-anti-EGFR-specific T cells [
31]. Thus, the genetic distribution of KIRs and CD16A is likely to have a substantial impact on NK cell phenotype and function that may affect the CRC pathogenesis. This information provides the rationale for testing the effect of KIR and CD16A genotypes on the genetic susceptibility to develop CRC and some clinical features.
Discussion
Our study strengthens the protective role of NK cells in CRC that is supported by our KIR results in which a prevalence of the B haplotype hosting ≥5 aKIR genes, KIR2DS2 and KIR2DL2, in the absence of their HLA-C ligands, protects one from developing CRC. On the contrary, the contribution of NK cells to the CD16A-48H genotype-increased susceptibility to CRC and its association with advanced stages of disease is not readily apparent.
It is noteworthy that most of the studies addressing the role of NK cells in CRC have been performed utilizing immunohistochemistry. This methodology provides relevant information about the qualitative and quantitative aspects of NK cell infiltration in the CRC microenvironment which can be correlated with the clinical course of disease. However, it cannot be utilized to identify healthy subjects at risk of developing disease. To this end, KIR genotyping may provide useful information about the possibility to determine a healthy subject at genetic risk of CRC.
In this study, we have compared the KIR genotype allele frequency of CRC patients to that of healthy local and historical controls, expecting to find a reduced allele frequency of activating KIRs and inhibitory KIRs, in the absence of their HLA-C ligands in CRC patients. In support of our hypothesis, we found a significantly reduced frequency of ≥5 aKIRs, belonging to the B haplotype, in CRC patients when compared to LTCRs. In agreement with our study, other additional scientific reports, performed by KIR genotyping of CRC patients, have demonstrated an association of multiple aKIRs with long-term disease-free survival [
38] and favorable responses to chemotherapy in patients with metastatic CRC [
27]. An obvious interpretation of these data is that the presence of multiple KIRs may overcome the inhibitory effects of the KIRs on NK cells increasing the level of NK cell activation. On the other hand, it has been shown that NK cells are capable of eliminating autologous CRC cells [
39]. According to the missing self-hypothesis, an enhanced level of NK cell activation may also be applied to the interpretation of the protective effect of KIR2DL2 in healthy subjects, lacking their HLA-C1 ligand genes. In contrast, the analysis of the significance of KIR2DS2 is harder to comprehend since it is not clear whether KIR2DS2 can activate NK cells in the absence of their HLA-C1 ligands.
The unique protective role of KIR2DL2 over the other KIRs may rely on the fact that KIR2DL2 is one of the most common KIR, nearly present in all individuals. Moreover, KIR2DL2 is also expressed by NK-T lymphocytes leading to an increased number of effector cells with anti-CRC potential [
40]. The protective role of KIR2DL2, in the absence of the HLA-C1 ligands, is not restricted to CRC but is also demonstrated in inflammatory bowel disease, including Crohn’s disease [
41], underlying the importance of this KIR in NK cell immunity. In contrast, it is quite difficult to distinguish the role of KIR2DS2 from that of KIR2DL2. Considering the protective effect is achieved in the absence of HLA-C1 ligands, while an active KIR2DS2 needs to bind the HLA-C1 ligands, there is a chance that this effect may not be related to KIR2DS2 but is rather restricted to the influence of KIR2DL2 gene [
42].
The complexity of this topic is underlined by the evidence that the presence of ≥5 aKIRs is associated with human papilloma virus-induced cervical neoplasia [
43]. Furthermore, a second study has shown that the presence of an increased number of aKIR genes is also found to be associated with the Epstein-Barr virus- linked nasopharyngeal carcinoma (NPC) [
44].
Thus, the presence of ≥5 activating KIRs has a different effect in solid tumors being protective in CRC and predisposing in cervical and nasopharyngeal carcinomas. One can speculate that this difference may reflect the possibility that NK cells are involved in the generation of two types of inflammation with opposite effects on tumor growth and development. In this context, NK cells may enhance the anti-CRC effect of CD8 + T cells by releasing interferon γ which up-regulates the expression of the HLA-class I and class II on the surface of CRC cells [
45]. In contrast, NK cell activation, following virus-induced malignancies, such as EBV or HPV, may trigger mechanism(s) of tumor immunoevasion from the NK cell immune surveillance. On the other hand, it has been clearly shown that NK cells can damage dendritic cells and macrophages, both involved in the presentation of tumor-associated antigen(s) to T cells [
46].
The extent of ADCC mediated by CD16A, in the presence of mAbs, depends on the cell types including NK cells, monocytes, and granulocytes and CD16A polymorphisms. This is because the latter possesses the ability to bind the Fc fragment of mAbs with different affinity, affecting the extent of ADCC against tumor cells [
47,
48]. Then, guided by recent findings indicating that some CD16A polymorphisms predict the therapeutic effectiveness of cetuximab in EGFR+ cancer patients [
49], we found that only CD16A-48H gene variant is involved, being more associated with CRC patients and advanced stages of CRC. This association may reflect a status of immunodeficiency in CRC patients since the presence of CD16A-48H gene is linked to patients with episodes of recurrent viral infection of the respiratory tract supporting an in vivo NK cell abnormality [
50]. By the available data, it is not possible to identify a cause/effect relationship between CD16A-48H phenotype and NK cell immunodeficiency. However, the presence of CD16A-48H results in a loss of the Leu11c/B73.1 epitope on NK cells that leads to the inhibition of the IgG binding to the CD16A [
51,
52]. In this light, we speculate that CD16A-CD48H may favor CRC development by an impaired ADCC against CRC cells.
Authors’ contributions
Conception and design: AC, GS, AA. Analysis, sampling, and interpretation of data: AC, GS, AA, TDB, PR, LF, FDS, PS, NDL, OB. Coordination and drafting the article: AC, GS Bioinformatic analysis: AC, AA. Revising article critically for important intellectual content: AV, DL. All authors read and approved the final manuscript.