Open Access

Tumour-associated carbohydrate antigens in breast cancer

  • Aurélie Cazet1, 2,
  • Sylvain Julien3,
  • Marie Bobowski1, 2,
  • Joy Burchell3 and
  • Philippe Delannoy1, 2Email author
Breast Cancer Research201012:204

DOI: 10.1186/bcr2577

Published: 8 June 2010

Abstract

Glycosylation changes that occur in cancer often lead to the expression of tumour-associated carbohydrate antigens. In breast cancer, these antigens are usually associated with a poor prognosis and a reduced overall survival. Cellular models have shown the implication of these antigens in cell adhesion, migration, proliferation and tumour growth. The present review summarizes our current knowledge of glycosylation changes (structures, biosynthesis and occurrence) in breast cancer cell lines and primary tumours, and the consequences on disease progression and aggressiveness. The therapeutic strategies attempted to target tumour-associated carbohydrate antigens in breast cancer are also discussed.

Introduction

Glycosylation is one of the most important modifications of proteins and lipids. The structure of glycans is highly diversified and their biosynthesis requires specific enzymatic machinery involving a high number of glycosyl transferases. Glycoconjugates of the cell surface are thought to play important roles in a variety of biological functions, such as cell-cell and cell-substrate interactions, bacterial adhesion, membrane organization, cell immunogenicity and protein targeting. For example, sialyl-Lewisx (sLex) antigens are the ligands for selectins and are involved in the recruitment of leukocytes to lymphoid tissues and inflammation sites [1].

Glycan structures depend on the cell type, developmental stage and cell differentiation, and are modified in many pathologic states including cancers. The modification of cellular glycosylation is indeed a common phenotypic change of cancer cells that mainly affects the outer part of glycans, leading to the expression of tumour-associated carbohydrate antigens (TACAs). Increased β1,6-branching, increased sLex or sialyl-Lewisa (sLea) antigens, or the general increase in sialylation are commonly observed in N-linked and O-linked glycans of carcinoma cells and are associated with grade, invasion, metastasis and poor prognosis. These changes in glycosylation often reflect a deregulation of glycosyl transferase expression at the transcriptional level, and several examples have shown that glycosyltransferase genes, including ST6GAL1 [2] and MGAT5 [3], are regulated by oncogenes.

sLex, s-Lea and sialyl-Thomsen-nouvelle (sTn) are tumour-associated antigens found in breast cancer [46]. When these antigens are detected at the surface of breast carcinoma cells, they are usually associated with a poor prognosis and a reduced overall survival of the patients [7]. These glycosylation changes mostly result from the modification of the expression of glycosyltransferase (GT) genes, and the level of expression of sialyltransferases has been proposed as a prognostic marker for the follow-up of breast cancer patients [8, 9].

Several cellular models have been developed in order to explain the mechanisms by which carbohydrate antigens can reinforce breast cancer progression and aggressiveness, showing the implication of TACAs in cell adhesion, migration, proliferation and tumour growth [10, 11]. TACAs such as sTn are also targets for breast cancer immunotherapy. Finally, recent data seem to indicate an important role of complex gangliosides in breast cancer progression and metastasis [12, 13]. The present review summarizes our current knowledge of glycosylation changes that occur in breast cancer and the consequences of these changes on disease development and aggressiveness.

Defects in mucin-type O-glycosylation

One of the hallmarks of breast adenocarcinomas is the overexpression and aberrant localization of membranebound mucins, such as MUC1 and MUC4 [14]. Mucins are characterized by a large number of tandem repeated domains, rich in serine and threonine, which are therefore densely O-glycosylated.

O-glycans expressed by normal breast epithelial cells are composed of Core2 structures extended with a linear polylactosaminic chain, which can be fucosylated or sialylated [15] (Figure 1). Accordingly, a recent study reported a prevalence of Lex expression at the apex of normal breast epithelia, where MUC1 is also detected [16].

In contrast, breast cancer cell lines express truncated O-glycans with shorter polylactosaminic chains and a tendency to switch from Core2 O-glycans to sialylated or unsialylated Core1 structures (Figure 1) [17]. It has long been known that breast cancer tissues contain more sialic acid and more sialyltransferase activity [18] than corresponding normal tissues. Breast cancer cells may thus express shorter O-glycans due to premature sialylation of the polylactosaminic chain blocking further extension, or due to truncation of the O-glycans at the core level - owing to the sialylation of the Core1 structure or of the initial GalNAc, leading to the expression of sialyl-Thomsen-Friedenreich (sialyl-T) antigen structures and sTn antigen, respectively (Figure 1).
https://static-content.springer.com/image/art%3A10.1186%2Fbcr2577/MediaObjects/13058_2010_Article_2538_Fig1_HTML.jpg
Figure 1

Pathways of biosynthesis of O -glycans in normal and cancer breast epithelial cells. All of these transfer reactions are catalysed in the Golgi apparatus. Enzymes involved in the pathways are indicated in italic font next to the arrows. Various mechanisms are illustrated by which O-glycans expressed in normal cells (bottom left) can be turned down to shorter and sialylated species. First, the enzymes involved in extended O-glycans can be downregulated or mutated (downward white arrows) in cancer cells, leading to a decrease or an absence of extended structures and revealing previously masked precursors such as T and Tn antigens. Alternatively or concomitantly, overexpression of diverse sialyltransferases (upward white arrows) can compete with the enzymes of normal extension and generate truncated sialylated structures (right column). This competition can occur at different levels of the extension pathway and produce the sialylated structures of each precursor (that is, sialyl-Thomsen-nouvelle (sTn) antigen, sialyl-Thomsen-Friedenreich (sialyl-T or sialyl-TF) antigen (or sialylated Core1) and sialylated Core2 O-glycans). Gal, Galactose, GalNAc, N-acetylgalactosamine; GlcNAc, N-acetylglucosamine; Neu5Ac, N-acetylneuraminic acid; Fuc, fucose. Linkages (anomery and carbons involved) are only indicated the first time they appear along the pathway. N, various numbers (2 to 10) of repeats of lactosamine units (Gal β1-3/4GlcNAc).

Alternatively, a defect in GTs that are involved in the biosynthesis of the O-glycan cores can also lead to the incomplete synthesis of the glycans, allowing the expression of O-linked carbohydrate antigens known as Thomsen-Friedenreich (T or TF) antigen (unsialylated Core1) and Thomsen-nouvelle (Tn) antigen (initial unsubstituted GalNAc) (Figure 1).

Thomsen-Friedenreich antigen

T antigen is the cryptic precursor of Core2 O-glycans, which can be unmasked if the cancer cells lose their ability to synthesize Core2 (Figure 1). T antigen consists of unsialylated Core1 structures (Galβ1-3GalNAcαSer/Thr) initially described on glycophorins of red blood cells. The galactose residue is crucial for the antigenicity since re-sialylation or β-D-galactosidase treatment abrogates T-antigen detection [19].

Georg Springer was the pioneer of the study of T antigen in breast cancer. Using natural anti-T antisera, he first showed that all breast cancers, but not benign lesions or normal mammary gland, expressed the T antigen [20]. Later studies using monoclonal antibodies demonstrated the presence of T antigen at a low level in normal epithelium or metaplastic lesions of the breast [21].

Lectins such as Arachis hypogea agglutinin/peanut lectin (PNA), Amaranthus caudatus lectin or Artocarpus integrifolia/jacalin have been extensively used to detect T antigen. None of these lectins, however, is exclusively specific for the Galβ1-3GalNAc structure. Both A. caudatus agglutinin and A. integrifolia agglutinin/jacalin are specific for GalNAc when there is no substitution on C6 of the saccharide (Figure 2). In contrast, substitution on C3 does not impair their binding. Conse quently both A. caudatus agglutinin and A. integrifolia agglutinin/jacalin can bind to Tn antigen (GalNAcα-Ser/Thr), T antigen (Galβ1-3GalNAcα-Ser/Thr) and sialyl-T antigen (Neu5Acα2-3Galβ1-3GalNacα-Ser/Thr) [22, 23].
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Figure 2

Short O -glycans observed in breast epithelial cells during carcinogenesis. Structures of short O-glycans observed in breast epithelial cells during carcinogenesis and their binding to Arachis hypogea agglutinin/peanut lectin (PNA) lectin or HH8 mAb, and to Amaranthus caudatus agglutinin (ACA) or Artocarpus integrifolia agglutinin/jacalin (AIA). T or TF, Thomsen-Friedenreich; Tn, Thomsen-nouvelle.

PNA is specific for unsubstituted Gal residues [24]. Because of its high reactivity with asialo-glycophorin, PNA has been tagged as the anti-T lectin [24]. PNA was able to react weakly with healthy tissue while anti-T antisera were not, however, suggesting that PNA specificity was slightly wider than the sole T carbohydrate. Indeed, PNA can bind, albeit with lower affinity, to terminal galactose in a variety of glycans including glycolipids such as asialo-GM1 [23] or N-acetyl-lactosamine (LacNAc) [25]. Studies of T-antigen expression using PNA should therefore be treated cautiously, especially in the absence of complementary analysis of the O-glycosylation of the considered cells or tissues.

In parallel to lectins, mAbs have long been used to investigate T-antigen expression in epithelial cancers [26]. As for lectins, most mAbs are not strictly specific for the sole Galβ1-3GalNAc-Ser/Thr structure - some of them, such as A78-G/A7, cross-reacting with asialo-GM1. Other mAbs define site-specific T antigens, such as BW835 with the VTSA motif in MUC1 tandem repeat. The HH8 mAb, as PNA, tolerates further substitution on the C6 of the GalNAc leading to Core2 structures [26] (Figure 2).

These subtle differences of specificity concur with the variability of the detection of T antigen in tumour tissues [26, 27], and these discrepancies have fuelled debates regarding the prognosis value of T-antigen expression in breast cancers. PNA staining does not have any prognostic significance [26], while a more recent study using the mAb A78-G/A7 showed a correlation of T-antigen expression with a better prognosis [28], opposite to what is reported for gastrointestinal, lung or cervix cancers.

A recent study has shown that 98% of the disseminated tumour cells in the bone marrow were positively stained by a new anti-T antibody [29], suggesting a role for T antigen in the metastasis process. This putative role has been investigated during the past decade, on the assumption that Galβ1-3GalNAc-R disaccharide could be a good ligand for Galectin-3 [30], which has been shown to promote breast cancer metastasis by mediating adhesion to endothelial cells. Although Galectin-3 seems to be involved in breast cancer metastasis through its interaction with some cancer-associated O-glycans [31], however, the nature of its ligand remains to be clearly elucidated via a comprehensive characterization of the glycosylation pattern required for this interaction.

To summarize, there is strong evidence showing that T antigen is frequently overexpressed in breast cancer, suggesting that the changes in O-glycosylation provide some advantage to the tumour development. Relation to prognosis or metastatic behaviour, however, suffers from contradictory studies - partially due to the use of different probes - and remains to be unambiguously demonstrated.

Thomsen-nouvelle antigen

Tn antigen is the cryptic precursor of the T antigen (Core1) that can be unmasked if a cell loses its ability to synthesize the Core1 structure (see Figure 1).

Tn (GalNAcα-R) expression on blood cells is responsible for Tn syndrome, which is a rare autoimmune haematological disorder [32]. Tn syndrome occurs due to mutations in the COSMC gene coding the C1β3GalTspecific molecular chaperone, leading to a drastic decrease of C1β3GalT (T-synthase) activity [33]. Mutations and loss of heterozygosity of COSMC were described in colon cancer and melanoma cancer Tn-positive cells, as well as in tissues from two Tn-positive cervical cancers [34]. Extensive studies of COSMC in epithelial cancers, however, showed that these events were rare and could only partially explain Tn expression in cancers [35].

A range of GalNAc-specific lectins, including Helix pomiata lectin (HPA) and plant lectins from Dolichos biflorus, Griffonia simplicifolia, Wistaria floribundia, Glycine max soybean, Vicia villosa isolectin B4 (VVA) and Salvia sclarea agglutinin, can be used to detect Tn antigen [32, 36]. These lectins bind to terminal GalNAc and therefore react with Tn antigen, but also with Forssman antigen (GalNAcα1-3GalNAcβ-R) and to some extent with blood group A (GalNAcα1-3 [Fucα1-2]Galβ-R) or glycolipids [36]. HPA, which has been extensively used to study Tn expression in breast cancer [37], has been shown by some authors to bind T antigen [36]. There is also a range of mAbs available to detect Tn antigen [32]. Some of them, however, can slightly cross-react with sTn.

Tn antigen was found to be expressed in almost 90% of breast cancers while it is barely detected in normal tissue [38]. Association with high grade has been reported for invasive ductal carcinomas (IDC) using a pool of anti-Tn antibodies [39] and for ductal carcinoma in situ using VVA and G. simplicifolia agglutinin [40]. Using VVA, G. simplicifolia agglutinin and 83D4 mAb, other authors reported a tendency to lose Tn expression in grade III tumours [41]. Using either anti-Tn mAb or VVA, Tn was found associated with the Pathological Tumor-Node-Metastasis (pTNM) tumour stage in IDC [39, 42]. Tn expression was also associated with decreased overall survival using antibodies [35] or HPA [43] and with increased risks of recurrence using VVA [42] or HPA [44].

Strikingly, Tn expression was always observed in lymph node metastatic cells using either mAb or lectins [39, 41] with 100% of Tn-positive metastatic cells, while primary tumours could exhibit various percentages of cell positivity [39, 41, 42]. Tn expression in primary tumours seems consistently associated with lymph node involvement using mAbs [41, 42], HPA [43] or VVA [42], and even with invasion of lymphatic vessels within the primary tumour [42]. This observation strongly suggests that Tn antigen may play a role in the mechanism involved in lymph node metastasis. Indeed, Danussi and colleagues have recently shown that a newly generated anti-Tn antibody could block Tn-positive MCF-7 breast cancer cell line interaction with lymphatic endothelium of the mammary pad in an animal model [45]. A putative receptor(s) for Tn antigen in lymphatic cells, however, remains to be identified.

One known receptor for Tn antigen is the macrophage galactose-type lectin (MGL), which, in human, is specific for GalNAc [46]. MGL is expressed in immature dendritic cells and macrophages, and is proposed as an immunomodulatory receptor [46]. MGL has been shown to bind Tn antigen carried by MUC1 in colon carcinoma cells [47], and human immature dendritic cells can uptake MUC1-Tn peptide in a MGL-mediated way [48]. The MGL-Tn interaction, however, has not yet been investigated regarding its possible functional involvement in breast cancer development.

Sialyl-Thomsen-nouvelle antigen

Tn antigen can be sialylated at the C6 position of GalNAc, resulting in the disaccharide Neu5Acα2-6GalNAc-R (sTn). STn is absent in normal healthy tissues but can be detected at various frequencies in almost all kinds of carcinomas [49].

ST6GalNAc I is the enzyme catalysing the transfer of sialic acid onto GalNAc in vivo [50]. It has been proposed that COSMC mutation was necessary to provide the Tn acceptor substrate for ST6GalNAc I to synthesize sTn antigen [34]. Transfection of ST6GalNAc I cDNA, how ever, has been shown to be sufficient to induce sTn expression in various breast cancer cell lines expressing Core1 and Core2 glycans [11, 50, 51], proving that ST6GalNAc I can compete with active Core1 β1,3-galactosyltransferase.

Several mAbs have been raised against sTn antigen using various immunogens, leading to subtle differences in the way they recognize sTn [49]. The most commonly used mAbs in breast cancer investigations are B72.3, TKH2 and HB-STn1. B72.3 appeared to be specific for clustered sTn but also cross-reacts with Tn clusters [52, 53]. In contrast, TKH2 reacts more strongly to monomeric sTn conjugated to keyhole limpet hemocyanin (STn-KLH) than B72.3 [54].

The reported occurrence of sTn expression in breast cancer is highly variable. It is commonly accepted that at least 25 to 30% of breast cancers are sTn-positive [51]. The reported ranges are 20 to 80% using B72.3 and 30 to 60% using HB-STn1 [49], and correlation with known prognosis markers varies from one study to another. Correlation with a decreased overall survival seems to be the more consistent correlation through the literature. Kinney and colleagues proposed that sTn was an independent predictor of poor prognosis of breast cancers [55]. Miles and colleagues, however, reported a significant correlation of sTn expression with the decreased survival in the restricted node-positive patient group [7], whereas Leivonen and colleagues limited the association to the short-term prognosis [56].

Induction of sTn expression by transfection of the breast cancer cell line with ST6GalNAc I cDNA decreased the adhesion of cells to matrix proteins, and increased mobility and tumour growth in a xenograft model [10, 11, 50]. These observations are in accordance with a more aggressive phenotype of cancer cell that is usually associated with sTn expression but remain to be eluci dated at the molecular level. Of the various sTn-positive proteins present in these transfected cell lines, only four have been identified: MUC1 and CD44 in human [10], and integrin β1 [57] and osteopontin [58] in mouse. All of these molecules have described functions in adhesion and/or migration, and it has been suggested that the modification of their O-glycosylation may influence this function and the mobility of the cancer cells.

Lewis antigens in breast cancer

Structure and biosynthesis of Lewis antigens

The histoblood group Lewis antigens are found in most human epithelial tissues, where they are expressed at the terminal part of glycolipid and glycoprotein glycan chains [59]. These antigens derive from the substitution of type 1 (Galβ1-3GlcNAc) or type 2 (Galβ1-4GlcNAc) disaccharide sequences by fucose and sialic acid residues (Figure 3). Lea, Leb and sLea derive from type 1 sequences, and Lex, Ley and sLex derive from type 2. In healthy individuals, type 1 (Lea and Leb) antigens are widely expressed, while type 2 (Lex and Ley) antigens are only expressed at relatively low levels. The biosynthesis of these antigens requires specific fucosyl transferases and sialyltransferases (Table 1).
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Figure 3

Biosynthesis of Lewis antigens. Lewis antigens derive from the substitution of type 1 (Galβ1-3GlcNAc) or type 2 (Galβ1-4GlcNAc) disaccharide sequences by fucose and sialic acid residues. Name of the antigen is indicated next to the glycan structure. Names of the main enzymes involved in the biosynthetic pathways are indicated in italics. Arrows, antigens and enzymes altered in breast cancers.

Table 1

Fucosyltransferases and sialyltransferases potentially involved in biosynthesis of histoblood group Lewis antigens in breast tissues

Gene name

Common name

Accession number

Main acceptor substrate

α1,2-Fucosyltransferases

   

   FUT1

FucT I

NM_000148

Galβ1-3 [Fucα1-4]0-1GlcNAc

   FUT2

FucT II

NM_000511

Galβ1-4 [Fucα1-3]0-1GlcNAc

α1,3/4-Fucosyltransferases

   

   FUT3

FucT III

NM_000149

Galβ1-3/4GlcNAc

   FUT6

FucT VI

NM_000150

Galβ1-4GlcNAc

   FUT7

FucT VII

NM_004479

NeuAca2-3Galβ1-4GlcNAc

   FUT9

FucT IX

NM_006581

Galβ1-4GlcNAc

α2,3-Sialyltransferases

   

   ST3GAL3

ST3Gal III

NM_174972

Galβ1-3GlcNAc

   ST3GAL4

ST3Gal IV

NM_006278

Galβ1-4GlcNAc

   ST3GAL6

ST3Gal VI

NM_006100

Galβ1-4GlcNAc

The acceptor monosaccharide is indicated in bold.

The GlcNAc α1,4-fucosylation of type 1 disaccharide generates Lea antigen, whereas the α1,3-fucosylation of type 2 gives Lex (Figure 3). The fucosyltransferases FucT III, FucT IV, FucT VI and FucT IX catalyse the transfer of a fucose residue onto GlcNAc of type 1 or type 2 disaccharides, thus synthesizing α1,3-fucosylated and, in the case of FucT III, α1,4-fucosylated glycans [6062]. FucT III is the only enzyme responsible for the synthesis of Lea and sLea in vivo and is called the Lewis enzyme. The fucosyltransferases FucT I and FucT II are responsible for the Gal α1,2-fucosylation of Lea or Lex, generating Leb or Ley antigens, respectively (Figure 3). FucT I (H enzyme) preferentially fucosylates type 1, whereas FucT II (Se enzyme) determines the expression of H-type 2 (Fucα1-2Galβ1-4GlcNAc) and Ley antigens.

The biosynthesis of sialylated Lewis antigens (sLea and sLex) requires first the α2,3-sialylation of Gal prior to α1,3/4-fucosylation. ST3Gal III [63], preferentially acting on type 1 rather than on type 2 disaccharides, is involved in sLea synthesis. ST3Gal IV and ST3Gal VI mainly act on type 2 disaccharide, leading to the biosynthesis of sLex [64], but both also share acceptor specificity with ST3Gal III. For the subsequent fucosylation, FucT III is the main enzyme involved in the biosynthesis of sLea [65], whereas FucT VII [62, 66] shows a restricted substrate specificity since it can form only sLex [67].

Overexpression of Lewis antigens in breast cancer

The expression of sialyl-Lewis antigens is usually altered in breast cancer. Normal breast commonly expresses Lex, mainly in the apical part of cell ducts, together with MUC1. sLex and sLey epitopes may also be sometimes detected in normal breast, but with a low intensity [16]. On the contrary, sLea and sLex expression is found to be increased in breast cancer tissues, including primary breast carcinoma lesions [68]. Furthermore, levels of expression of sLex are higher in patients who had distant metastasis compared with patients presenting nonmetastatic cancers [69]. The expression of sialyl-Lewis antigens is weak in carcinoma in situ, is moderate in invasive carcinomas without metastases and is high in primary carcinoma with lymph node metastases, showing a good correlation with the metastatic risk in breast cancer patients [70]. Immunohistochemistry of breast cancer tissue suggests that sLex expression is an independent prognostic indicator of survival regardless of the size of the primary tumour and lymph node involvement [71].

RNA analysis of tumours indicated that FucT VI expression correlates with the levels of sLex. Furthermore, transfection of the FUT6 gene into MCF-7 breast cancer cells showed that FucT VI is responsible for an enhancement of sLex expression [72]. The downregulation of ST3Gal IV increased MCF-7 cell adhesion and decreased MDA-MB-231 cell migration, suggesting that α2,3-sialylation played a crucial role in the adhesion and tumour metastases [73]. In parallel, the level of ST3Gal III expression is associated with axillary lymph node involvement and a reduced overall survival of patients [8, 9].

A general reduced expression of type 1 carbohydrate antigens and increased expression of type 2 antigens in breast cancer tissues has also been reported [4, 6], and the relative expression of type 2 carbohydrate antigens seems capable of serving as a prognostic factor. As much as 80% of breast tumours have lost the expression of Leb antigen, which correlates with the degree of malignancy and invasiveness [74].

The expression level of sLex is also increased in the serum of patients with advanced breast cancer [69, 75] and is therefore a good candidate as a diagnosis marker. In combination with serum CA15-3, the most commonly used breast cancer marker, the measurement of serum sLex improves monitoring - for 78.5% of detected metastatic breast cancer, compared with 61.5% when CA15-3 is used alone [76].

The Ley antigen is also overexpressed in 60 to 90% of cancer of epithelial origin, including breast cancer [77]. A clinical study showed that high expression of Ley correlated with high grade and poor prognosis, and significantly decreased patient survival in lymph node-negative breast carcinoma [78]. Showing restricted expression on epithelial surfaces in normal tissues, Ley also constitutes a good candidate for cancer immunotherapy [79].

Implication of sialyl-Lewis antigens in metastasis

The expression of sLex on leukocytes contributes to their function in the inflammatory response via interaction with E-selectin expressed on endothelial cells. By exposing sLex at the cell surface, malignant cells can use a similar strategy for the extravasation from the blood circulation and metastasis, targeting tissues where Eselectin is highly expressed.

Both P-selectin and E-selectin expression is significantly enhanced on endothelial cells of breast cancer patients [68], consistent with the proposal that sLex binding to selectins aids cancer cell metastasis. A high tumour-associated ST3Gal III expression and a high Eselectin serum concentration were associated with a bad prognosis for relapse-free survival and overall survival in patients with node-negative breast cancer [8]. In both canine mammary carcinoma and the human inflammatory breast cancer model, the cellular expression of Ecadherin and sLex are inversely correlated, suggesting a biologically coordinated mechanism of E-cadherin and sLex expression essential for tumour establishment and metastatic progression [80].

Gangliosides in breast cancer

Structure and biosynthesis of gangliosides

Gangliosides are expressed at the plasma membrane of cells, especially in developing tissues and the adult central nervous system. Gangliosides structurally and biosynthetically derive from lactosylceramide (LacCer), and additional sugar residues - including sialic acid, N-acetylgalactosamine and galactose - are transferred in a stepwise manner by a series of specific GTs [81] (Figure 4). GM3, GD3 and GT3 are the starting points for the biosynthesis of a-series, b-series and c-series gangliosides, respectively (Figure 4). The relative amounts of these glycosphingolipids determine the amount of complex gangliosides of each series. The amount of complex ganglio sides is therefore dependent on the level of expression and activity of several GTs, including GM3 synthase (ST3Gal V), GD3 synthase (ST8Sia I), GT3 synthase (ST8Sia V) and GM2/D2 synthase (β1,4-GalNAc T1) (Table 2).
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Figure 4

Biosynthesis of gangliosides. The action of ST3Gal V (GM3 synthase), ST8Sia I (GD3 synthase) and ST8Sia V (GT3 synthase) leads to the biosynthesis of the precursor of a-series, b-series and c-series gangliosides, respectively. The o-series gangliosides are directly synthesized from lactosylceramide (LacCer). Elongation of complex gangliosides is performed by the sequential action of N-acetyl-galactosaminyltransferase (β4-GalNAc T1), galactosyltransferase (β3-GalT4) and sialyltransferases (ST3Gal I, ST3Gal II and ST8Sia V).

Table 2

Main glycosyltransferases involved in biosynthesis of gangliosides

Gene name

Common name

Accession number

Main acceptor substrate

Glucosyltransferase

   

   UGCG

GlcCer synthase

NM 003358.1

Ceramide (Cer)

Galactosyltransferases

   

   B4GALT6

LacCer synthase

NM_004775

Glcα1-Cer

   B3GALT4

β3-GalT4

NM_003782.3

GalNAcβ1-4 [NeuAc0-3]Galβ1-4Glcα1-Cer

N-Acetyl-galactosaminyltransferase

   

   B4GALNACT1

GM2, GD2, GT2 synthase

NM_001478.2

[NeuAc0-3]Galβ1-4Glcα1-Cer

Sialyltransferases

   

   ST3GAL1

ST3Gal I

NM_003033.3

Galβ1-3GalNAcβ1-4 [NeuAc0-3]Galβ1-4Glcα1-Cer

   ST3GAL2

ST3Gal II

NM_006927.3

Galβ1-3GalNAcβ1-4 [NeuAc0-3]Galβ1-4Glcα1-Cer

   ST3GAL5

ST3Gal V

NM_003896.3

Galβ1-4Glcα1-Cer

   ST6GALNAC5

ST6GalNAc V

NM_030965.1

NeuAca2-3Galβ1-3GalNAcβ1-4Galβ1-4Glcα1-Cer

   ST8SIA1

ST8Sia I

NM_003034.3

NeuAca2-3Galβ1-4Glcα1-Cer

   ST8Sia5

ST8Sia V

NM_013305.4

NeuAca2-8NeuAca2-3Galβ1-4Glcα1-Cer

The acceptor monosaccharide is indicated in bold.

Overexpression or neo-expression of gangliosides in breast cancer

The neo-expression of gangliosides has been usually demonstrated in a variety of cancers - especially in neuroectoderm-derivated tumours, in which they play a key role in invasion and metastasis. Breast tumour tissues were shown to be distinct from normal mammary tissues in terms of ganglioside composition. The gangliosides GM3, GD3 and the derivatives 9-O-acetyl-GD3 (CDw60 antigen) and 9-O-acetyl-GT3, which show a very restricted expression in normal breast tissues, are overexpressed in about 50% of IDC [82].

The N-glycolyl-GM3 is also detected in IDC, with 100% efficiency in primary tumours for women diagnosed with stage II breast cancer [82, 83]. Neu5Gc is normally absent in human due to the irreversible inactivation of the CMAH gene encoding the CMP-Neu5Ac hydroxylase. The lack of the enzyme responsible for the conversion of CMP-Neu5Ac in CMP-Neu5Gc results in the total absence of Neu5Gc in healthy human tissues. On the contrary, Neu5Gc was shown to be expressed on glycoproteins and gangliosides in melanoma, colon, retinoblastoma and breast cancers.

The expression of GTs implicated in ganglioside biosynthesis can be also altered in breast cancer tumours. Two clinical studies have shown that the GD3 synthase (ST8Sia I) displayed higher expression among oestrogen receptor-negative breast cancer tumours [84]. ST8SIA1 overexpression was associated with poor pathohisto logical grading in oestrogen receptor-negative tumours and lower survival of patients [85]. In contrast, a better prognosis for oestrogen receptor-positive samples with high expression of ST8SIA1 was noticed [85].

It has been shown that silencing of GM3 synthase in mammary murine 4T1 cells significantly inhibited cell migration, invasion and anchorage-independent growth in vitro, as well as lung metastasis in vivo. In parallel, overexpression of GM3 synthase in nonmetastatic 67NR cells significantly restores the malignant phenotype [86]. We have recently demonstrated that overexpression of GD3 synthase in MDA-MB-231 cells is associated with increased proliferation, especially in the absence of serum or exogenous growth factors [13]. GD3 synthase-overexpressing cells bypass the need of serum for cell growth by the activation of Erk/MAPK, PI3K/Akt and SAPK/JNK pathways (unpublished results). These data suggest that GM3 or GD3 synthase overexpression may contribute to increasing the malignant properties of breast cancer cells by mediating cell proliferation and migration. Recently, the role of ST6GalNAc V, a sialyltransferase involved in the biosynthesis of α-series gangliosides, in breast cancer metastasis to the brain has been clearly demonstrated. Normally restricted to the brain, the expression of ST6GalNAc V enhances the adhesion of breast cancer cells to brain endothelium and their passage through the blood-brain barrier, highlighting the role of cell surface glycosylation in organspecific metastatic interactions [12].

Future perspectives for therapy

From the data summarized above, it appears that a limited number of TACAs are expressed in breast cancer and associated with restricted histopathological markers such as the oestrogen receptor status of tumours (Table 3). Breast cancer cells express truncated Core1-based O-glycans, including T, Tn and sTn antigens. The expression of sialyl-Lewis antigens is also altered in breast carcinoma with a good correlation with metastatic risk, and complex gangliosides are overexpressed in IDC.
Table 3

Main tumour-associated carbohydrate antigens expressed in breast carcinomas

TACA

DCIS

IDC

Altered pathway

Comments

Mucin-type antigens

    

   Thomsen-nouvelle

High

High

COSMC mutation, decrease in C1β3GalT activity

Expressed in almost 90% of breast cancers

   Thomsen-Friedenreich

ND

High

Decrease in Core2 β6-GlcNAc-T expression, decrease in Core1 sialylation

 

   Sialyl-Thomsen-nouvelle

ND

High

Increase in ST6GalNAc I expression, decrease in Core2 β6-GlcNAc-T expression, alteration of COSMC function

25 to 30% of breast cancers, correlated with a decreased survival in node-positive patients

Lewis antigens

    

   Sialyl-Lewisx

Weak

High

Increased expression of FucT (FucT VI and FucT VII)

Higher in metastatic compared with nonmetastatic cancers

   Sialyl-Lewisa

Weak

High

Increased expression of FucT (FucT III)

 

   Lewisy

Low

High

Increased expression of FucT

Overexpressed in 60 to 90% of breast cancer

Gangliosides

    

   GM3

ND

Increased

Increased expression of ST3Gal V

2.8-fold compared with normal tissue

   GD3

ND

Increased

Increased expression of ST8Sia I

1.7-fold compared with normal tissue

   9-O-acetyl-GD3

ND

Neo-expression

Increase of sialic acid acetylation

 

   9-O-acetyl-GT3

ND

Neo-expression

Increase of sialic acid acetylation

 

   N-glycolyl-GM3

ND

65 to 70%

Unknown

100% in stage II primary tumours

DCIS, ductal carcinoma in situ; IDC, invasive ductal carcinoma; ND, not determined; TACA, tumour-associated carbohydrate antigen.

Although some TACAs have been shown as strong markers of a poor prognosis (for example, sLex or sTn), they have not yet reached the clinic. Indeed, the strongest marker of prognosis in breast cancer remains the invasion of the lymph nodes determined during surgery. Unless another marker proves to be of superior quality or independent of lymph node involvement, it is very unlikely to be useful for clinic application. As TACAs are more or less associated with lymph node invasion and/or restricted to specific groups of patients, their use as prognosis markers appears rather limited. However, since TACAs seem to be functionally involved in cancer progression, one of their most promising uses in the future remains being targets for treatments designed for specific groups of patients.

Different methods can take advantage of TACA expression to treat breast cancer, such as blocking their biosynthesis or biological function, or using them as molecular targets in immunotherapy. Blocking the biosynthesis of glycans using chemical inhibitors has been shown to change the phenotype of breast cancer cells in culture, making them less aggressive [87, 88]. Such an approach, however, is difficult to adapt to human therapy because both healthy and diseased cells are using their glycans in a variety of functions. There are high risks that detrimental effects of a chemical inhibitor on healthy cells would counterbalance or avoid the beneficial effect of the molecule on cancer cells. In order to develop further, this field will have to await improvement in the drug-targeting or drug delivery systems, such as the booming nanotechnologies [89].

Alternatively, one may consider specifically altering the expression of GTs involved in TACA biosynthesis. Little is still known about the molecular mechanisms leading to aberrant expression of GTs in cancer. Gain or loss of GT expression could be attributed to loss of chromosomal integrity often observed in cancers, leading to duplication, deletion or transposition of chromosomal segments involving glycosyltransferase genes. As an example, elevated ST6Gal I expression in murine W16 cells has been shown to be the result of DNA rearrangement in the st6gal1 locus resulting from the transposition of a retroviral-like transposable element upstream of the st6gal1 ORF [90]. Changes of gene expression do not always reflect genomic rearrangements, however, as comparison of the Comparative Genomic Hybridization Array and the RNA microarray do not always show absolute correlation. Expression of GT genes is often regulated at the transcriptional level [91], and several examples have shown that GT genes, including ST6GAL1 [2] and MGAT5 [3], can be regulated by oncogenes. Only a limited number of promoters of GT genes have been characterized [91], and this field is in need of further data in order to understand which factors of transcription, signalling pathways and, eventually, membrane receptors are involved in this cancer-specific deregulation. The knowledge of the intracellular molecular mechanisms regulating the expression of GTs might open new options to specifically impair TACA expression in cancer cells.

Functions of TACAs often involve interaction with glycan-specific receptors, such as selectins with sialyl-Lewis antigens. Attempts can be made to block this interaction, by masking either the glycans or its receptor. Several studies have shown that masking T antigens with specific peptides [92] or mAbs [93] can inhibit interaction of breast cancer cells with the endothelium and protect from metastasis. One advantage of this approach is that the lectin(s) recognizing the TACA does not need to be identified to block the interaction. Some limitations remain, however, such as the risk to induce unwanted physiological responses triggered by the same type of interactions (or loss of interaction), or the clinical viability of these compounds in terms of toxicity, body clearance or administration.

Active immunotherapy has been thoroughly investigated during the past 40 years as an alternative approach for cancer treatment. As glycans are naturally highly immunogenic, they have been extensively used for the design of immunotherapy strategies against breast cancer.

As early as in 1977, Springer and collaborators attempted to immunize patients with desialylated autologous red blood cells, in order to trigger a response to T antigen. He reported a significantly improved 5-year survival (100%) and 10-year survival (44%) compared with the nonimmunized population [38]. Although of small scale and somewhat unorthodox, this study paved the way for further development of anti-TACA vaccines.

Ganglioside-based anti-idiotype vaccines focusing on N-glycolyl-GM3 have been developed for specific active immunotherapy against breast cancer [94]. The 1E10 mAb (Racotumomab) is an anti-idiotype vaccine to P3 mAb, which recognized Neu5Gc-GM3. Vaccination with 1E10 of BALB/c mice challenged with the murine F3II mammary carcinoma leads to breast tumour growth suppression and a decrease of lung metastasis [95]. Moreover, the anti-tumour effect of 1E10 is enhanced by combination with a low-dose of cyclophosphamide [96]. Results of phase I clinical trials have shown that 1E10 vaccine was relatively well tolerated and able to produce a specific response against Neu5Gc-containing gangliosides in high-risk (stage III) or metastatic breast cancer [97, 98].

Clustered sTn haptens conjugated to keyhole limpet hemocyanin (Theratope™; Biomira, Edmonton, AB, Canada) have also been used to immunize breast cancer patients [99]. Although the results of the first phase III clinical trial failed to show significant benefit, it has to be mentioned that patients were never screened for expression of sTn antigen in the tumours. The lack of significant benefit for the total population could therefore be explained by the low representation of patients presenting sTn-positive tumours (25 to 30%). Recently, we clearly demonstrated that Theratope™ induced tumour protection in a relevant murine model. The protection was dependent on both the presence of the sTn antigen in the tumour and the anti-sTn antibodies raised by immunization. Interestingly anti-sTn antibodies were able to recognize a wide range of sTn-positive proteins expressed by mammary carcinomas, suggesting that multi-targeting of the response was important to induce tumour protection [58].

Despite decades of research and evident proofs of concept in favour of anti-TACA cancer vaccines, one has to acknowledge that none of them have reached the clinic. One possible method of improvement is a better definition of patients who are most susceptible to benefit from the designed treatment. As TACAs are expressed in distinguishable groups of patients based on immunohistology or gene profiling expression, one may therefore consider personalizing the treatment according to expression of putative targets. Another way is to design multi-epitope targeting vaccines to cover a variety of targets found in different patient populations and to possibly trigger multi-antigenic response in each of the patients. Glycopeptide dendrimers have been developed to present simultaneously up to six different antigens (Tn, T, Globo H, GM2, Ley, and MUC1-Tn antigens) and have been assessed in immunization trials to compare multi-antigenic responses with mono-antigenic responses [100].

As the future of breast cancer treatment lies in a combination of patient-tailored and multi-targeting strategies, we believe that TACAs - because of their profile of expression and their proaggressive function - will be considered potent molecular targets.

Abbreviations

C1β3GalT: 

Core1 β1,3-galactosyltransferase (EC 2.4.1.122)

GT: 

glycosyltransferase

HPA: 

Helix pomiata agglutinin

IDC: 

invasive ductal carcinoma

Le: 

Lewis

mAb: 

monoclonal antibody

MGL: 

macrophage galactose-type lectin

ORF: 

open reading frame

PNA: 

Arachis hypogea agglutinin

sLe: 

sialyl-Lewis

sTn: 

sialyl-Thomsen-nouvelle

T: 

Thomsen-Friedenreich

TACA: 

tumour-associated carbohydrate antigen

Tn: 

Thomsennouvelle

VVA: 

Vicia villosa agglutinin isolectin B4.

Declarations

Acknowledgements

The present work was supported by the University of Sciences and Technologies of Lille, the Association pour la Recherche sur le Cancer (grant numbers 7936 and 5023), La Ligue régionale contre le Cancer and the PAI Hubert Curien France-Korea STAR.

Authors’ Affiliations

(1)
Structural and Functional Glycobiology Unit, UMR CNRS 8576, University of Scienaces and Technologies of Lille
(2)
Université Lille Nord de France
(3)
Breast Cancer Biology Group, Research Oncology, King's College London

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