J Cancer 2022; 13(10):3121-3132. doi:10.7150/jca.75840 This issue Cite
Review
Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China
Glycosidases and glycosyltransferases greatly impact malignant phenotype of tumors though genetics and epigenetics mechanisms. As the member of glycoside hydrolase (GH) families 29A, α-L-fucosidases (AFUs) are involved in the hydrolysis of terminal L-fucose residues linked via α-1,2, α-1,3, α-1,4 or α-1,6 to the reducing end of N-acetyl glucosamine (GlcNAc) of oligosaccharide chains. The defucosylation process mediated by AFUs contributes to the development of various diseases, such as chronic inflammatory diseases, immune disorders, and autoimmune diseases by reducing the interaction between fucosylated adhesion molecules supporting leukocyte extravasation. AFUs also impair crucial cell-extracellular matrix (ECM) interactions and presumably subsequent cell signaling pathways, which lead to changes in tumor function and behavior. There are two isoforms of AFUs in human, namely α-L-fucosidase 1 (FUCA1) and α-L-fucosidase 2 (FUCA2), respectively. FUCA1 is a p53 target gene and can hydrolyze different fucosylation sites on epidermal growth factor receptor (EGFR), thereby determining the activation of EGFR. FUCA2 mediates the adhesion between Helicobacter pylori and gastric mucosa and is upregulated in 24 tumor types. Besides, based on the participation of AFU in signaling pathways and tumor progression, we discuss the prospect of AFU as a therapeutic target.
Keywords: Fucosidase, defucosylation, cancer, microenvironment, signaling pathway
Glycosylation modification of polysaccharides on cell surface is closely associated with cancer initiation and progression. As a unique monosaccharide residue in glycans, fucose locates in the terminal position of oligosaccharides on human or other cells [1, 2]. Fucose-containing polysaccharides mediate events such as blood transfusion reactions [3] and selectin-mediated leukocyte-endothelial adhesion [4]. In mammals, L-fucose (6-deoxy-L-galactose) is incorporated into N-glycans, O-glycans and glycolipids by 13 fucosyltransferases (FUTs), all of which utilize GDP-fucose to modify target substrates [2]. Among the FUTs discovered, FUT1-11 locate in the Golgi apparatus modify N-linked glycans via α-1,2, α-1,3, α-1,4 or α-1,6 link, however Pofut1 (FUT12) and Pofut2 (FUT13) often locate in the endoplasmic reticulum and act as O-fucosyltransferases that add fucose directly to polypeptides [5]. Conversely, AFUs are lysosomal exoglycosidases catalyzing the hydrolysis of terminal L-fucose residues linked to the reducing end of GlcNAc of oligosaccharide chains [6, 7]. Fucosylation and defucosylation are two key processes of fucoses metabolism (Figure 1).
To date, there are many studies and reviews on the function of FUTs. Most studies have shown the function of fucosylation and FUTs in the tumorigenesis and malignant progression such as tumor invasion and angiogenesis [8]. The activity of FUTs is particularly high in the serum from highly malignant or metastatic tumor patients, such as colon cancer, breast cancer and liver cancer [9]. Even within different subtypes of the same tumor such as melanoma, FUTs' expression varies [10].
Pathways associated with fucose metabolism. A. The de nova pathway is the one of fucosylation pathway. GDP-mannose is converted to GDP-4-keto-6-deoxy-d-mannose by GMD(s). Then, under the catalyzation of Fx protein, it converted to GDP-L-fucose, followed by transfer to Golgi apparatus by GFT. In Golgi apparatus, the substrates including polysaccharide and protein are linked to GDP-L-fucose with the participation of FUT to form a fucosylated substrate, which is further transported to cell membrane [2, 10]. B. The salvage pathway utilizes fucose transported into the cytosol from an extracellular origin or released by catabolism of fucosylated glycans in lysosome, and then transported into the cytosol. Fucose is transported across the plasma membrane through a poorly characterized mechanism, L-fucose-specific facilitated diffusion [7]. The salvage pathway is enabled by FUK and GFPP, with L-fucose-1-phosphate as the metabolic intermediate, and the following steps are the same as the de novo synthesis pathway. C. The defucosylation pathway is a defucosylation process mediated by AFU in lysosome. GMD(s): GDP-mannose 4,6-dehydratase. Fx: Fx protein. GFT: GDP-L-fucose transporter. FUT: fucosyltransferase. GFPP: GDP-fucose pyrophosphorylase. FUK: L-fucokinase (L-fucose kinase). AFU: fucosidase
Here, to improve the understanding of the functions of AFUs systematically, we reviewed the current reports of AFUs and defucosylation process in multiple cancers. We also summarized and discussed potential therapeutic strategies relevant to the fucosidase, which might help the development of novel clinic treatment strategies against cancers.
In human, there are two isoforms of AFUs, namely FUCA1 and FUCA2 that are predominantly localized in the tissues such as liver [11], as well as plasma and fibroblasts [12], respectively. FUCA1 is encoded by a gene on chromosome 1p (1p34) [13] and FUCA2 is encoded by a gene linked to plasminogen on chromosome 6 (6q24) [14]. They are both members of GH families 29A [15]. To better understand the structure and differences of FUCA1 and FUCA2, we summarized amino acid modifications and possible key sites for catalysis using the AlphaFold and UniProt database [16] (Table 1). AFUs contain a catalytic N-terminal domain with a (β/α)8-TIM barrel structure and a C-terminal domain that needs to be further examined [6]. Due to the existence of genetic polymorphism, AFUs have a certain degree of inter- and intra-tissue structural heterogeneity [17]. Interestingly, a glutamic acid mutation to alanine of AFU produced by lactobacillus casei at positions 274 will switch AFU function from fucosidases to transfucosidases, which can transfer a fucose moiety to an acceptor such as GlcNAc from a simple fucosyl donor. This is the result of shifting equilibrium between open and closed conformations of an active-site loop [18]. The conclusions have implications for us to understand the mutation of AFUs in tumors.
AFUs are main regulators of defucosylation in human metabolism. As glycoside hydrolases modifying the structure of sugar chains, FUCA1 and FUCA2 have wide substrate specificity for hydrolyzing α-1,2, α-1,3, α-1,4 or α-1,6-fucosyl linkages in glycolipids, glycoproteins and mucopolysaccharides [15, 18]. Mammalian AFUs show greater activity on fucose linked α-1,2 to galactose compared to fucose linked α-1,3, α-1,4 or α-1,6 to N-acetylglucosamine [19]. AFUs locate in the lysosome, and exhibit maximal activity at pH values between 4 and 7 [19]. In almost all mammalian tissues, the majority of the AFUs activity is in the soluble fraction except the human brain [20, 21]. 10-20% of total cellular AFUs activity is detected in hematopoietic, epithelial and mesenchymal cells [21]. In the human gut, lactobacillus casei can produce an AFU and involve in the catabolism of the core-fucosylated structures of mammalian N-glycoproteins [22]. AFUs are involved in immunomodulation though regulating the rolling and extravasation of leukocytes [2]. AFUs treatment could efficiently decrease the migration capability of monocytes without affecting cell viability and morphology. The degradation of fucose-containing epitope may be the key to transendothelial migration [23]. FUCA1 can also participate in sperm transport and sperm-egg interactions [24]. And FUCA2 has been reported to mediate the adhesion between Helicobacter pylori and gastric mucosa, especially for specific strains of gastric cancer and duodenal ulcer [25] (Figure 2).
In cancer biology, cancer aberrant glycosylation reflected cancer-specific modification in glycan metabolism pathways. AFUs not only contribute to multiple malignant tumor development [26, 27], but also are involved in regulating pathological processes including immune evasion, invasion and metastasis of cancers [26, 28, 29]. As the lysosomal enzyme, AFUs maintain the dynamic balance of fucose metabolism, and have been recognized to reflect and contribute to regulating the malignant behaviors of tumors (Table 2). The activity change of AFUs in serum or tissues may be employed as an indicator of tumor burden, metastasis and response to anti-cancer treatment [30].
Mutations of FUCA1 can be found in various cancers, such as breast cancer, lung cancer and central nervous system cancer [31]. Published research have shown FUCA1 elevation is detected in endometrial [32], thyroid [33], cervical cancer [34], hepatocellular carcinoma (HCC) [35], oral cancer and oral precancerous lesions [36], as well as gastric cancer [33] and glioblastoma (GBM) [26]. Whereas a reduced expression and activity of AFU is observed in breast [37] and colorectal cancer [28]. As for FUCA2, Zhong etc. has shown it is upregulated in most tumors such as thyroid carcinoma, lung squamous cell carcinoma, HCC, low grade glioma (LGG) and GBM and is significantly associated with poor survival [38]. Due to the diverse metabolic characteristics and related molecular mechanisms, AFUs may play even completely opposite roles in different types of cancer.
Feature table of FUCA1 and FUCA2.
Gene | FUCA1 | FUCA2 |
---|---|---|
Protein | Tissue alpha-L-fucosidase | Plasma alpha-L-fucosidase |
Localization | tissue | plasma |
Subcellular location | Lysosome | |
Length | 466 | 467 |
Possible key site for catalysis | 296 | 294 |
Human chromosome | 1p34 | 6q24 |
Protein family | GH29A | |
Mass (Da) | 53,689 | 54,067 |
Amino acid modifications | 170→Phosphothreonine 241→N-linked 268→N-linked 382→N-linked | 171→N-linked 239→N-linked 301→Phosphoserine 377→N-linked |
Structure |
Representation of the structure in FUCA1 and FUCA2 is listed from AlphaFold database (https://www.alphafold.ebi.ac.uk/). AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100. Among them, blue represents the confidence of the model is very high (pLDDT>90), light blue represents credible (90>pLDDT>70), yellow represents low (70>pLDDT>50) and orange represents very low (pLDDT<50). Some regions with low pLDDT may be unstructured in isolation.
Physiological and pathological functions of AFU-mediated defucosylation. FUCA1 is involved in diversity physiological and pathological processes in vivo. FUCA2 mainly mediates the adhesion of Helicobacter pylori, especially to specific strains of gastric cancer and duodenal ulcer [94].
Tumor suppressor p53 is a key regulator of programmed cell death [39]. p53 modulates multiple cellular pathways associated with tumor suppression, and p53-induced programmed cell death is also an important factor in the response to chemotherapy [40] (Figure 2). FUCA1 is a p53 target gene [31]. p53 transcriptionally activates FUCA1 [27] and regulates fucosidase activity via FUCA1 up-regulation. Chemotherapeutic drugs induce cell death by FUCA1 and fucosidase activity in a p53-dependent manner [41]. Research by Ezawa et al. showed FUCA1 had tumor-suppressing activity. The expression of FUCA1 inducted apoptosis in COS7 cells and FUCA1 knockdown enhanced the proliferation of H1648 cells [31].
EGFR plays a critical role in the pathogenesis of many cancers [42]. Seven related ligands active human EGFR and generate different signal outputs from the receptor [43]. The dimerization of ligands is crucial for them to active the EGFR [44]. Zhen, etc. has reported twelve N-linked glycosylation sites in the extracellular region of EGFR [45]. Among them, core fucosylation of EGFR catalyzed by FUT8 contributes to the activation of EGFR [46], and the dimerization and phosphorylation of EGFR [47]. However, the terminal α-1,3-fucosylation catalyzed by FUT4 or FUT6 would suppress EGFR dimerization and phosphorylation upon EGF treatment [47]. FUCA1 can repress EGFR signaling by cleave the α-1,6 fucosyl link on EGFR, which has shown a direct link between the removal of fucosyl linkages and tumor suppression [31] (Figure 3). FUCA1 can also inhibit EGFR signal transduction and its downstream signaling by inhibiting Akt phosphorylation [31]. Collectively, different fucosylation sites of EGFR will cause different modification results, which also lead to differences in results after AFUs treatment. Perhaps in the future, some AFUs targeting the core fucosylation site can be designed to specifically inhibit tumor progression caused by EGFR.
The process of epithelial-to-mesenchymal transition (EMT) plays an important role in the invasion and metastasis of solid cancer cells [48]. Decreased FUCA1 results in increased expression of fucosylated N-glycans in transforming growth factor-beta (TGF-β) -induced EMT in non-malignant bladder transitional epithelial HCV29 cells [49]. Integrins are involved in cell-cell and cell-matrix interactions, which regulate processes such as intracellular signaling and cancer metastasis [50]. The ECM-integrin signaling is involved in the regulation of cell migration [51]. Considerable evidence indicates that glycosylation modulates the function of integrins [52], such as the ability of cells to adhere to fibronectin and laminin-1 [53]. The core fucosylation of α3β1 integrins stimulates embryonic fibroblasts migration via laminin-5, and loss of core fucosylation will result in the deficiency of α3β1 integrin function and the reduction of integrin-stimulated phosphorylation of focal adhesion kinase (FAK) [54, 55]. In bladder cancer, calreticulin regulated cell adhesion through α-1,2-linked fucosylation of β1 integrin and a FUT1-specific fucosidase diminished the activation of β1 integrin [56]. In breast cancer, treatment of the cells with AFU decreases the colocalization of fucose with β1 integrins [57], partially inhibited cell adhesion to laminin-α5 chain-derived peptides [58]. The evidences suggest AFU can reverse the activation and function of integrins induced by fucosylation.
AFUs' expression or activity in tumors.
Enzyme | Tumor types | Detailed | |
---|---|---|---|
FUCA1 | downregulated | Breast cancer [37] | FUCA1 has been identified to effectively reduce the invasiveness of cancer cells in breast cancer [37]. FUCA1 could inhibit intercellular adhesion of breast cancer cells [67]. |
CRC [28, 31] | Both of FUCA1 mRNA and protein in adenocarcinoma-derived tissue were significantly reduced compared with normal mucosa. This may be related to the aberrant methylation in the promoter region of FUCA1 [28]. FUCA1 could induce p53-mediated cell apoptosis in colon cancer, and p53 could directly regulate FUCA1 to promote cell death induced by chemotherapy [41]. | ||
Neuroblastoma [95] | FUCA1 was recently shown to be down-regulated in neuroblastoma with unfavorable characteristics [95, 96]. | ||
upregulated | Cervical cancer [34] | Vesce F etc. showed the activity of AFU was increased in cervical cancer tissue than benign conditions [34]. | |
Endometrial cancer [32] | Researchers have found an elevation of AFU activity in malignant endometrial tissues [32, 34]. | ||
Gastric cancer [33, 97] | Gastric cancer showed enhanced AFU activity compared to normal tissue[33]. Additionally, gastric cancer patients show an enhanced AFU activity in serum and tumor tissues compared with normal samples [33, 97]. | ||
ESCC [98] | High FUCA1 expression and high MMP-9 expression were potential predictors of shorter overall survival in ESCC [98]. | ||
Glioma [26] | An integrated analysis with TCGA and Chinese Glioma Genome Atlas (CGGA) confirmed the overexpression of FUCA1 in high-grade glioma, which is positively correlated with the poor survival. The inhibition of FUCA1 could efficiently inhibit the growth of glioma cell in vivo and in vitro. FUCA1 may become a potential target for the treatment of gliomas by promoting their autophagy [26]. | ||
HCC [35, 99] | Serum AFU activity was significantly higher in patients with HCC than in normal subjects [35, 99]. AFU was a prognostic indicator for HCC [73]. | ||
Oral cancer [36] | Serum and salivary AFU activity were significantly higher in oral precancerous conditions and oral cancer patients compared to the controls [100], and were higher in patients with metastasis as compared to nonmetastatic patients [101]. Serum AFU was identified as a useful marker for close monitoring of patients during post-treatment follow-up [36]. | ||
uncertain | Ovarian cancer [34, 72] | The investigation on female genital tract tumors revealed the lowest level of serum AFU activity in ovarian cancer patients, in comparison with benign ovarian tumors and the health female patients [72]. And low levels of AFU indicated mildly increased risk for ovarian cancer [102]. This might be related to the inhibition of AFU on the proliferation and colony formation capabilities of ovarian cancer cells [103]. However, Vesce F, etc. showed the activity of AFU was increased in ovarian cancer tissue than benign conditions [34]. | |
Thyroid tumours [27, 33] | FUCA1 RNA expression levels were found to be lower in poorly differentiated, metastatic and anaplastic thyroid cancer samples (ATCs), while they were higher in papillary thyroid cancer samples (PTCs) and in normal thyroid tissues. The down-regulation of FUCA1 is related to the increased aggressiveness of thyroid cancer [27, 33]. | ||
FUCA2 | upregulated | 24 tumor types [38] | Helicobacter pylori is the primary cause of gastric cancer. A previous study identified that FUCA2 was essential for H. pylori adhesion, especially the gastric cancer-specific strains, and may help their defense strategy to escape host surveillance [25]. |
In some clinical studies of tumors, AFU, rather than specific FUCA1 or FUCA2, was used to measure the level of fucosidase. Although it is more convenient to use the level of serum fucosidase to detect in clinical practice, FUCA1 is more common in the current study. So we will summarize the part of the unclassified studies to the 'FUCA1' part for summary.
Different EGFR fucosylation sites lead to different EGFR activation. Core fucosylation of EGFR catalyzed by FUT8 contributes to the increased dimerization and phosphorylation of EGFR. However, the terminal α-1,3-fucosylation catalyzed by FUT4 or FUT6 would suppress EGFR dimerization and phosphorylation upon EGF treatment. FUCA1 can cleave the α-1,6 or α-1,3 fucosyl link on EGFR and produce the opposite result.
Tumor-associated macrophages (TAMs) are notorious for their roles in constructing immune suppressive TME and promoting tumor immune evasion. This contributes to the progression and metastasis of multiple types of cancers [59]. AFUs have shown their potential in regulating macrophage behaviors. A recent study shows that FUCA1 is one of six M2 macrophage co-expressed genes related to M2 macrophage infiltration in renal clear cell carcinoma [60]. FUCA1 promotes M2 macrophage infiltration and it serves as a biomarker for the phenotype and immune microenvironment of renal clear cell carcinoma [60] (Figure 2). In consistent with this, silencing FUCA1 in GBM efficiently inhibits the infiltration of macrophages by downregulating the expression of chemokine C-C motif ligand (CCL)2/CCL5 [26]. α-L-fucose may comprise an essential part of the macrophage membrane receptor for lipopolysaccharide (LPS), and this may induce the resistance of FUCA1-treated tumor cells to macrophage-mediated cytotoxicity [61]. Because of interference with the binding of T-cell fibronectin fucose residues to monocyte fucose receptors, T-cell treated by FUCA1 abolishes their fibronectin mediated agglutinating activity for human monocytes [62]. Additionally, lysosome and lysosomal enzymes are involved in B cell apoptosis. AFUs increase activities in human tonsil B lymphocytes undergoing in vitro spontaneous apoptosis [63]. The activity of AFUs is decreased in B cells of chronic lymphocytic leukaemia when compared with control or other leukaemic lymphoid cells [64].
Cancer cells draw support from stromal cells in TME to escape antitumor therapeutic strategies [65]. This cancer-stromal cell interaction may dampen immunosurveillance and contribute to the immune suppressive mechanisms in TME. In melanoma, the fucose salvage related α-1,2 fucosylation pathway is involved in inhibiting invadopodia formation and ECM degradation [66]. FUCA1 has been identified to effectively reduce the invasiveness of cancer cells in breast cancer through removing fucose-rich polysaccharides on cell surface and inhibiting fucosylation [37]. Specifically, FUCA1 decreases the interaction of tumor cells with a wide variety of ECM components, including fibronectin, laminin, type I collagen, hyaluronic acid and other extracellular matrix, which weaken the adhesion between tumor cells and ECM [57]. Additionally, FUCA1 could inhibit intercellular adhesion of breast cancer cells though down-regulating their CD44, CD15, and matrix metalloproteinases (MMP) -9 expression. The regulatory role of FUCA1 on two cancer stemness marker, CD44 and CD15, implies its potential function in recurrent of breast cancer [67]. FUCA1 expression in breast cancer with lung metastasis lesion is lower than that of breast cancer without lung metastasis [29]. In vitro experiments using AFU to remove α-L-fucose residues from the surface glycoprotein of breast cancer cells could decrease their adhesion-migration ability. AFU mediating defucosylation on these cells reduces their rolling ability and impairs the interaction between them and ECM, indicating the key role of FUCA1 in modulating tumor progression [57]. Further studies indicated that FUCA1 could downregulate MMP-9 expression and activity, thereby diminishing the invasive ability of intrahepatic cholangiocarcinoma [68].
Previous studies demonstrate the change of AFUs in serum and tumor samples of cancer patients [28, 38]. AFUs could be employed as an indicator of tumor burden, metastasis and response to anti-cancer treatment [30]. This arouses the interest of researchers because the detection of expression and activity changes of AFUs in serum and/or tissues may help the early diagnosis of cancer patients.
Firstly, AFU is a useful serum marker for the diagnosis of HCC; however its diagnostic value to detect early-stage HCC has not yet been investigated comprehensively [69]. But a recent development of an AFU immunoassay is said to further improve the sensitivity of early detection in HCC patients [70]. Moreover, in ovarian cancer patients, the activity of AFU had a statistically significant deficiency [71] and could be used as a marker for advanced ovarian cancer and be unaffected by the histological type of ovarian cancer. Its sensitivity and specificity are similar to CA125, the well-known tumor marker in ovarian cancer [72]. The preoperative serum AFU shows a significant association with the prognosis of HCC [73] and esophageal squamous cell carcinoma (ESCC) [74]. Furthermore, AFU activity appears to be a good independent prognostic factor of tumoral recurrence in colorectal cancer (CRC) [75] and triple-negative breast cancer [29]. If we combine the detection of serum AFU, alpha-fetoprotein (AFP) and thymidine kinase 1 in the diagnosis of HCC, the sensitivity will be significantly improved because they have complementary roles [76]. In addition, the combination of AFU and CD26 has high sensitivity and specificity for the detection of early CRC [75]. But the results weren't all as good. In pure urothelial carcinoma (UC), the retrospective study indicated that preoperative AFU levels cannot serve as a reliable predictor for malignant degree and differential diagnosis [77].
Moreover, recent study reveals that FUCA2 is also a diagnostic and prognostic biomarker a therapeutic target in pan-cancer [25]. The expression of FUCA2 is associated with immunosuppressive microenvironment such as TAMs, and studies have indicated that FUCA2 is overexpressed in 24 tumor types [38]. FUCA2 also can quantify AFU concentrations in human blood serum for early tumor detection such as HCC [70].
Glycobiology field is a target with therapy potential that is poorly explored. At present, some glycans are known to impair or modulate tumor treatment. For example, in immunotherapy, N-linked glycosylation of programmed cell death ligand 1 (PD-L1) maintains its protein stability and interacts with PD-1, which in turn promotes the evasion of T cell immunity. However, N-glycans can inhibit the recognition of PD-L1 antibody on the surface of tumor cells [78]. Through database analysis, Zhong et al. found that the expression of FUCA2 was positively correlated with the immunosuppressive gene such as PD-L1 [38]. PD-L1 may be inhibited by targeting FUCA2. But there is no related research yet. Cell surface sugar engineering can effectively and specifically guide chimeric antigen receptor (CAR) T-cell into tissue sites that contain E-selectin expressing endothelial beds to locate the lesion tumor site more effectively [79]. In glycosylation-mediated cancer-targeted drug delivery, fucose can facilitate the improvement of the target abilities of carriers [80]. For the subset of tumors overexpressing AFU, targeting fucose with AFU could function as a drug delivery vehicle. For instance, pyrrolidine-ferrocene conjugates are composed of L-fuco-configured dihydroxypyrrolidine, which acts as an AFU ligand, is equipped with a cytotoxic ferrocenylamine moiety, and has a strong anti-tumor proliferation ability [81].
The development of defucosylation inhibitors and related anti-tumor treatment strategies.
Inhibitors | Characteristic | Ki / IC50 | Structural formula | Refs. |
---|---|---|---|---|
Ferrocenyl-iminosugar conjugate | A tight binding affinity for fucosidases and the fucosidase-targeting pyrrolidine could localize their deleterious effect | Ki=23 nM† | [92] | |
L-fuconojirimycin (5-amino-5-deoxy-L-fucose) | Inhibit FUCA1 by covalent binding of cyclophellitol aziridine to AFUs in a competitive activity-based protein profiling setting | Kiα=3.0 nM† | [82-84] | |
Kiβ=1.0 nM† | ||||
Ki=1.7 nMu | ||||
Deoxyfuconojirimycin (DFJ) (1,5-dideoxy-1,5-imino-L-fucitol) | pH-dependent A powerful competitive inhibitor of AFU with highly specific | Ki=4.8* or 6.2 nMǂ Ki=10 nM¶ | [85, 87] | |
N-methyl-DFJ | pH-dependent | Ki=50 nMu | [85] | |
N-(2-fluorophenyl)-2β-deoxyfuconojirimycin acetamide | Change not only the inhibition potency but also the inhibition profile | IC50=0.012 μMu | [88] | |
β-L-homofuconojirimycin (β-HFJ) | A powerful competitive inhibitor of human liver AFU with highly selective | Ki=5.3 nMǂ Ki=10 nM§ | [87] | |
Inhibitors | Mechanism | Ki / IC50 | Structural formula | Ref. |
Deoxymannojirimycin (DMJ) (1,5-dideoxy-1,5-imino-D-mannitol) | A potent inhibitor of AFU | Ki=4.7 μMǂ | [85, 87] | |
N-methyl-DMJ (Me-DMJ) | Reduce or abolish inhibition towards bovine AFUs Enhance inhibitory potential towards the human AFUs | Ki=30 μMǂ | ||
Rha-DMJ (6-O-a-l-rhamnopyranosyl-DMJ) | A specific inhibitor of AFUs The first naturally occurring glycoside of DMJ Much stronger inhibition towards mammalian AFUs than DMJ | Ki=60 nMǂ | ||
(-)-adenophorine | a moderate and distinctive AFU inhibitor | IC50=72 μM† | [89] | |
all-cis pyrrolidine | a potent specific inhibitor of AFU | Ki=15 nMu | [90] | |
D-galacto aminomethyl pyrrolidine | a selective inhibitor | Ki=1.3 mMu | [91] |
Ki: Inhibition constants. †: bovine kidney. ǂ: bovine epididymis. §: human placenta. ¶: human liver. u: unspecified
Deregulated glycosylation is a common post-transcriptional modification in cancers. Inhibition aberrant glycosylation or restoring normal glycosylation patterns have been explored to develop potential therapeutics for various types of cancers. According to previous reports, we summarize more detailed current available defucosylation inhibitors in Table 3. Most of the following reported AFU inhibitors are carried out from the perspective of molecular chemistry. If these inhibitors are to be used in the clinic, many animal experiments are needed to verify their effects and toxicity in vivo. Only then may AFU be used in clinic as a potential therapeutic target.
Among them, L-fuconojirimycin [82-84], deoxymannojirimycin (DMJ, 1,5-dideoxy-1,5-imino-D-mannitol) [85] and deoxyfuconojirimycin (DFJ, 1,5-dideoxy-1,5-imino-L-fucitol) [86] are effective AFU inhibitors. β-L-homofuconojirimycin (β-HFJ) is a powerful competitive inhibitor of human liver AFU with highly selective [87]. N-(2-fluorophenyl)-2β-deoxyfuconojirimycin acetamide is a more efficient and selective AFU inhibitor, which display very potent and selective inhibition of AFU, and exhibits about 18-fold stronger effects on AFU than original DFJ [88]. In addition, (-)-adenophorine [89] and all-cis pyrrolidine such as racemic aminofuranofucitol [90] has also been identified as an effective inhibitor of AFU. And aminomethyl pyrrolidine such as D-galacto aminomethyl pyrrolidine has also a AFU inhibitory activity [91]. On human hormone-independent breast cancer cell line MDA-MB-231 and the human melanoma cell line SK-MEL28, ferrocenyl-iminosugar conjugate show significant anti-cancer activity [92].
Glycosylation modifications, the structural changes of carbohydrates on tumor cell surface, not only drive critical pathological processes in cancers like EMT, but also regulate their responses to therapeutic strategy. As the key enzymes in defucosylation, AFUs are not only involved in physiological processes such as cell recognition and immune response, but also are associated with tumor immunosuppression and malignant progression. And although current studies confirm the occurrence of aberrant fucose metabolism in a variety of cancer cells, there are several issues worth further investigations. Firstly, the detailed effects of fucosylated sugar chain change of fucose modified protein on tumorigenesis need further exploration. Secondly, it remains to be studied how fucosidase and fucosyltransferase affect the structure of polysaccharide chains, and which glycoproteins or glycolipids on cancer cell surfaces would be affected by these enzymes. The interactions and dependencies between them also deserve attention. Further investigation on the functions of AFUs including their mutant forms will help us better understand the defucosylation mechanism related to cancer initiation and progression. Mutations of FUCA1 can be found in various cancers and have also been linked to congenital disorders such as fucosidosis. Certain point mutants in FUCA1 gene could change its function from remove to add fucose residues to monoclonal antibody N-glycans, with significant impacts on their effector functions. This shows that the activity of the enzyme is controlled by distinct open and closed conformations of the active-site loop. Some mutations shift the balance to the open conformation and promote transfucosylation rather than hydrolysis [18]. It will provide novel ideas for the development of fucosidase related cancer therapeutics. Interestingly, recent studies demonstrate that, similar to the glycosylation of PD-L1 in tumor cells, fucosylation of PD-1 could promote its stability and presentation on the surface of T cells [93]. Mouse T cells with FUT8 gene knockout or drug inhibition (such as 2-fluoro-L-fucose) decrease their core fucosylation and PD-1 expression. These cells demonstrate stronger cytotoxicity and more effective killing effect on melanoma and lung cancer cells [93]. This implicates the clinical potential and possible synergetic effect of therapeutic strategies combined defucosylation regulation and immune checkpoint blockade like PD-1. Besides, although there are fewer studies on FUCA2 than on FUCA1, the existing researches are enough to explain the important value of FUCA2, including its diagnostic value for tumors and its role in the adhesion between Helicobacter pylori and gastric mucosa.
p53 is a tumor suppressor. p53 transcriptionally activates FUCA1, and chemotherapeutic drugs induce cell death by FUCA1 in a p53-dependent manner. In different tumors, the content and activity of AFUs vary widely. Due to the close relationship between p53 and FUCA1, it is worth considering whether the status of p53 in various tumors can affect the duality of FUCA1. Besides, the contradictory observations may reflect an inadequate host-feedback mechanism to regulate the 'fucose-burden' in serum and in tissue, respectively. It is precisely because of the difference and the existence of mutations of AFUs that it is far from enough to find a certain AFU inhibitor. It is necessary to analyze specific problems and explore its possible mechanism in depth. It is still necessary to further verify the effect and safety of AFU inhibitors in vivo.
AFP: Alpha fetoprotein; AFUs: α-L-fucosidases; β-HFJ: β-L-homofuconojirimycin; CAR: chimeric antigen receptor; CRC: colorectal cancer; DFJ: Deoxyfuconojirimycin; DMJ: Deoxymannojirimycin; ECM: Extracellular matrix; EGF(R): Epidermal growth factor (receptor); EMT: Epithelial-mesenchymal transition; ESCC: Esophageal squamous cell carcinoma; FAK: focal adhesion kinase; FUTs: Fucosyltransferases; FUCA1: α-L-fucosidase 1; FUCA2: α-L-fucosidase 2; GBM: Glioblastoma; GH: glycoside hydrolase; GlcNAc: N-acetyl glucosamine; HCC: Hepatocellular carcinoma; LGG: Low grade glioma; LPS: lipopolysaccharide; MMP: Matrix metalloproteinases; PD-(L)1: programmed cell death (ligand) 1; TAMs: Tumor-associated macrophages; TGF-β: Transforming growth factor-beta; TME: Tumor microenvironment; UC: Urothelial carcinoma.
Thanks to AlphaFold Protein Structure Database and UniProt for technical support.
This work was supported by the National Natural Science Foundation of China (no. 81872057 to P. Cheng; 81872054 to A. Wu), and the Natural Science Foundation of Liaoning Province (no. 20180550063, to P. Cheng. no. 20170541020, no. 2020BS117, to Q. Guo.).
Jinxing Fu: wrote, corrected, revised and finalized the manuscript draft and designed the figures. Qing Guo: revised the manuscript and designed the figures. Yuan Feng: revised the manuscript. Peng Cheng: wrote, revised and complemented the manuscript, provided ideas and critical feedback. All authors read and approved the final manuscript.
Feature table of FUCA1 and FUCA2 is summarized via https://www.alphafold.ebi.ac.uk/ and https://www.uniprot.org/.
The authors have declared that no competing interest exists.
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Corresponding authors: A. Wu, The First Hospital of China Medical University, No.155 Nanjingbei Street, Heping District, Shenyang, Liaoning 110001, China. E-mail: ahwuedu.cn. P. Cheng, The First Hospital of China Medical University, No.155 Nanjingbei Street, Heping District, Shenyang, Liaoning 110001, China. E-mail: chengpengcmucom.
Received 2022-6-6
Accepted 2022-7-28
Published 2022-8-15