Skip to main content
Nature Portfolio logoLink to Nature Portfolio
. 2026 Jun 18;45(27):2655–2670. doi: 10.1038/s41388-026-03858-x

The glycobiology of prostate cancer: an update

Kirsty Hodgson 1,#, Margarita Orozco-Moreno 1,#, Ziqian Peng 1,#, Libby Blencoe 1, Molly J Sharp 1, Erin Smith 1, Grace Grimsley 2, David J Elliott 1, Richard Beatson 3, Richard R Drake 2, Jennifer Munkley 1,✉
PMCID: PMC13314537  PMID: 42315913

Abstract

Prostate cancer is a common cancer in males and there is an urgent unmet clinical need to improve early diagnosis and identify new treatments for advanced disease. Despite huge progress in understanding changes to the genome and proteome in prostate cancer, there is a relative delay in revealing the full aspects of the prostate cancer glycome and glycoproteome. Glycobiology has been fundamental in recent discoveries in the medical field, including translational cancer research. Glycans functionally contribute to the cancer hallmarks and serve as important diagnostic biomarkers and targets for therapeutic intervention. Changes to glycans are common in prostate cancer and include increased branching of complex N-glycans, changes in sialylation, increased fucosylation, altered PSA glycosylation and the expression of truncated O-glycans. This review discusses the role of glycans in fundamental mechanisms controlling prostate cancer growth, metastasis and immune evasion. Emphasis is placed on discoveries made during the last decade, including new insights provided by N-glycan imaging mass spectrometry (IMS) profiling of prostate cancer tissues, new discoveries into the role of aberrant glycosylation in prostate tumour biology, as well as recent studies investigating glycans, glycosyltransferase enzymes and glycan binding proteins as therapeutic targets.

Subject terms: Prostate cancer, Glycobiology

Introduction

Prostate cancer is a common cancer in males and globally causes more than 350,000 cancer-related deaths every year [1]. When patients are diagnosed with early-stage (organ-confined prostate cancer), the 5-year survival rate is 95%, but this is reduced to only 50% for men diagnosed with advanced-stage or metastatic disease [2]. Guidelines highlight the importance of detecting prostate cancer while it is still locally confined and potentially curable [2]. However, unfortunately, there is a significant and rising trend of advanced-stage diagnoses [3]. While androgens are required for normal prostate function, in prostate cancer, the androgen receptor (AR) signalling axis is hijacked to promote the development and progression of prostate cancer [4]. Androgen blockade using drugs that prevent the production of androgens and/or block AR action is the cornerstone treatment for advanced prostate cancer and new AR-targeted therapies, including enzalutamide, abiraterone [5] and upfront combination therapies [6, 7] have improved patient outcomes. However, resistance to hormonal therapy, known as castrate resistant prostate cancer (CRPC) [8], is almost inevitable and there is a critical need to develop new therapeutic options to eradicate tumours. An understanding of the molecular features associated with prostate cancer progression and resistance to therapy is crucial to identify new diagnostic biomarkers and targets for therapy.

Glycosylation is a vital biological process that is crucial for processes like cell recognition, protein folding, cell signalling and immunity, with errors in glycosylation linked to numerous diseases [9–12]. Glycans are carbohydrate molecules composed of monosaccharides (sugar units) linked together by chemical bonds. Alongside nucleic acids, proteins and lipids, glycans are one of the four major macromolecules of life and play fundamental roles in a wide variety of biological processes [13, 14]. The glycome, which includes all glycans synthesised by cells, is potentially as important to our understanding of life as the genetic code. Historically, our knowledge of these major macromolecules has lagged due to the structural complexity of glycans and the lack of tools to investigate/analyse glycosylation [15]. The biosynthesis of glycans is determined by the action of glycosyltransferases (writers) and glycosidases (erasers) that mediate the assembly, processing and turnover of glycans. Glycan recognition is performed by lectins (readers), which are proteins that bind to specific glycans [16]. There are two main types of protein glycosylation, N-glycosylation and O-glycosylation. N-glycosylation starts in the endoplasmic reticulum (ER), where a common oligosaccharide precursor (Glc3Man9GlcNAc2) is attached to asparagine residues of proteins, before further processing and maturation into various structures (complex, hybrid, or high-mannose) in the Golgi apparatus [17]. O-glycosylation primarily occurs in the Golgi apparatus, where N-acetylgalactosamine (GalNAc) is added to serine or threonine residues on proteins, followed by the sequential addition of further monosaccharides [18].

Aberrant glycosylation is common in cancer cells and is functionally linked to all of the cancer hallmarks [12]. In prostate cancer, common changes to glycans include increased branching of complex N-glycans, changes in sialylation, increased fucosylation, changes to PSA glycosylation and alterations to O-glycans [19, 20] (Fig. 1). In 2016, our group published a review about glycosylation in prostate tumours, which covered the potential of glycans to improve the diagnosis and treatment of prostate cancer [20]. Now, ten years later, this current review highlights advances in this area in the last decade and how this potential is being realised. In particular, we emphasise new insights provided by N-glycan imaging mass spectrometry profiling of prostate cancer tissues, as well as recent studies exploring the role of glycans in prostate cancer progression and their potential as diagnostic biomarkers and therapeutic targets.

Fig. 1. Schematic representation of important glycan structures that are commonly altered in prostate cancer.

Fig. 1

Common changes to glycans in prostate tumours include increased branching of complex N-glycans, changes in sialylation, increased fucosylation and alterations to O-glycans.

N-glycan branching

An important technological advance has been the ability to profile N-glycans in prostate tumours. N-glycosylation leads to a wide variety of structures with significant changes in the abundance of specific N-glycans known to occur in cancer [10]. Numerous studies have reported an increase in multi-antennary N-glycans on serum glycoproteins both in prostate cancer and in CRPC [21–23]. These branched structures are synthesised by dedicated glycosyltransferases, including the N-acetylglucosaminyl transferase enzymes MGAT3, MGAT4, MGAT5 and MGAT5B. However, the mechanisms regulating the formation of β-1,6-GlcNAc branching are yet to be fully elucidated [24, 25]. MGAT5 has been shown to play a role in metastatic prostate cancer [26] and the ER degradation enhancer mannosidase α-like 3 (EDEM3), which promotes mannose trimming of N-glycans, is upregulated in prostate tumours and is linked to radio-resistance [27]. Furthermore, metabolic reprogramming (the Warburg effect) becomes more pronounced in advanced prostate cancer [28] and may be a general mechanism to promote N-glycan branching [29]. In colorectal cancer, the intratumoral T-cell glycome is altered with substantial changes in branched N-glycans reported [30]. A recent study showed that reprogramming of CD8+ T cell branched N-glycosylation, using MGAT5 knockout anti-CD19-CAR T cells, limits exhaustion, enhances cytotoxicity and promotes tumour killing [30]. Although changes to the intratumoral T-cell glycome in prostate cancer have yet to be reported, investigating the potential role of MGAT5-mediated branched N-glycans in regulating CD8+ T-cell function represents a promising area to explore.

The development of N-glycan mass spectrometry imaging (MSI) by the Drake lab [31, 32] has allowed glycans in pure tumour regions to be directly profiled on formalin-fixed, paraffin-embedded (FFPE) tissue specimens from patients. This has led to pivotal advances in the field of glycobiology [33, 34], including effective modelling of glycosylation changes throughout the prostate cancer evolution. In Fig. 2, an example N-glycan MSI image of a typical prostate cancer tissue is shown with representative N-glycan distributions. Using N-glycan MSI, Butler et al. [35] profiled N-glycans in tumour regions from 131 prostate cancer patients representing the disease spectrum from early hormone-sensitive to late therapy-resistant tumours. Although early-stage prostate cancers had high interpatient variability, with few glycans demonstrating consistent changes across patients, prostate tumours treated with hormonal therapy had increased levels of complex biantennary structures with decreased levels of tri- and tetra-antennary glycans and in prostate tumours resistant to hormonal therapy, tri- and tetra-antennary glycans were aberrantly upregulated [35]. In further studies, Hartig et al. utilised N-glycan MSI to monitor N-glycans in a novel outcome cohort of prostate cancer tissues, including primary prostatectomy samples categorised as ‘no evidence of disease’ or ‘metastasis’ based on more than 5 years of disease progression outcomes [36]. This analysis showed an increase in N-glycan complexity in metastatic prostate tissue, including multi-branched N-glycans containing sialic acid and multiple fucose and terminal GlcNAc structures [36]. Conversely, complex N-glycans were downregulated in patients with a rare aggressive form of neuroendocrine prostate cancer called small cell neuroendocrine carcinoma of the prostate [37]. This is potentially because neuroendocrine cells produce fewer glycoproteins than luminal cells [35]. Further studies will be needed to comprehensively profile N-glycan branching in other uncommon prostate cancer subtypes, including AR-negative neuroendocrine tumours, carcinoid, amphicrine and squamous carcinomas. The underlying mechanisms and functional consequences of N-glycan branching in prostate cancer pathology remain to be fully investigated, but likely include alterations to the binding of Galectins (proteins which bind to β-galactoside glycans on the cell surface and modulate the tumour microenvironment [38, 39]). These findings suggest increased N-glycan branching is closely linked to prostate cancer metastasis and the development of CRPC and identify highly branched N-glycans as potential therapeutic targets that could be exploited to benefit prostate cancer patients who have exhausted currently available treatment options.

Fig. 2. Example N-glycan MSI image of a typical prostate cancer tissue with representative N-glycan distributions.

Fig. 2

FFPE prostate cancer tissue was processed for N-glycan MALDI-MSI as described [33]. A H&E stain. B Four stroma and inflammation N-glycan distributions. The spatial colours correspond to the border colour for each glycan structure. The same four glycans are shown in (C) with a high mannose glycan included in red and D with a representative tetra-antennary tumour N-glycan in red.

Terminal fucosylation

A common cancer-associated change in glycosylation is aberrant fucosylation [10] and altered fucosylation has long been associated with aggressive prostate cancer [40]. A family of 13 fucosyltransferase (FUT) enzymes catalyse fucosylation, where fucose residues are attached to glycans. Fucosylation can be divided into either terminal or core fucosylation [41–44]. Fucosyltransferase −3, −6 and −7 (FUT3, FUT6 and FUT7) are elevated in bone and liver metastatic prostate cancer, correlate with the synthesis of E-selectin ligands on prostate cancer cells and are master regulators of prostate cancer cell trafficking to the bone marrow [45, 46]. Studies exploring the role of fucosylated N-glycans in cellular interactions between prostate-derived tumour cells and the metastatic tumour microenvironment are ongoing.

Recently, we investigated the effects of global metabolic inhibitors of fucosylation in the context of prostate cancer progression [47]. Metabolic inhibition of fucosylation was shown to decrease the growth of prostate cancer cells in vitro and to downregulate the expression of oncogenic genes and proteins, highlighting the importance of fucosylation in the trajectory of prostate cancer progression [47]. N-glycan MSI studies showed hyper-fucosylated N-glycans are enriched in prostate adenocarcinomas that progress to metastatic disease and in neuroendocrine prostate cancer and an analysis of patient-derived xenografts revealed this fucosylation signature is highest in prostate-derived tumours metastasised and growing in the liver [48]. Terminal fucosylation is known to impact the synthesis of selectin ligands that regulate interactions between cells and the endothelium to control processes such as tumour cell migration and lymphocyte homing [49, 50].

Core fucosylation

Altered core fucosylation of N-glycans is a common change in tumour glycan patterns contributing to cancer growth, metastasis and immune evasion [42, 51–53]. In prostate cancer, an increase in core-fucosylated N-glycans has long been associated with advanced disease [54–56]. Core fucosylated PSA glycoforms in patient serum and urine samples have been investigated as diagnostic biomarkers [55, 57–63], while serum fucosylated haptoglobin also holds potential to predict high-grade disease [64]. Newly developed MALDI-MSI technologies have been applied to investigate whether glycan signatures in organ-confined prostate cancers can be used to assess the potential risk of future disease recurrence. A recent study utilised N-glycan MSI to document N-glycome alterations in tumours and revealed that while total core fucosylation levels do not change in prostate cancer relative to normal prostate tissue, it is likely that the specific N-glycans being core fucosylated are the important factor [65]. In prostate cancers with high risk of progression, increased levels of core-fucosylated N-glycans alongside an overall increase in the abundance of N-glycan structures have been detected, suggesting these molecular features have potential as early predictors of high-risk disease and metastasis [36].

Core fucosylation is catalysed by the α1,6 fucosyltransferase 8 (FUT8) enzyme, which transfers fucose to the innermost GlcNAc of N-linked glycoproteins in α1,6 linkage [42, 51, 66]. FUT8 is the only FUT enzyme responsible for core fucosylation and as most other fucosyltransferases are functionally redundant, this makes FUT8 and core fucosylation a potential ‘Achilles heel’ for prostate cancer [67–71]. FUT8 plays an important role in cancer biology and can regulate the activity of growth receptors and adhesion molecules to increase cell proliferation, metastasis and immune evasion in many cancers [42]. In prostate cancer, studies suggest FUT8 is upregulated in high-grade tumours and is linked to the development of CRPC [54, 72, 73]. Recently, we monitored FUT8 levels in clinical samples across multiple patient cohorts and verified upregulation of FUT8 as a feature of aggressive prostate cancer [74]. Our study showed FUT8 underpins the synthesis of malignant core fucosylated N-glycans in prostate cancer cells and suggested FUT8 regulates prostate cancer growth and can be targeted using metabolic fucosylation inhibitors to suppress the growth of prostate tumours [74]. Mechanistically, FUT8 correlates with the expression of genes and signalling pathways linked to prostate cancer progression [74] and although the specific N-glycoproteins modified by FUT8 in prostate cancer are yet to be identified, it is clear that the role of FUT8 in cancer is multifaceted, likely involving the regulation of cell signalling receptors, cytokines and immune checkpoint molecules [75]. In triple-negative breast cancer, FUT8-mediated core glycosylation of the B7H3 immune checkpoint protein can inhibit T cell activity [76, 77]. Similarly, core fucosylation of the programmed cell death 1 (PD-1) can suppress the activity of cytotoxic T lymphocytes in lung cancer [78]. These findings suggest core fucosylation will likely also regulate the stability of immune checkpoint receptors in prostate tumour cells, although more research is needed in this area.

Sialylated N-glycans

Sialylated N-glycans are often altered in cancer and their upregulation (hypersialylation) on the surface of cancer cells is closely linked to tumour progression, metastasis and patient survival. α2,3 and α2,6 sialylated N-glycans are the most abundant isomers of sialic acid detected in humans. Alterations to both α2,3 and α2,6 sialylated N-glycans are common in prostate cancer and this has important implications for tumour progression, metastasis and immune evasion [79]. Studies from over 30 years ago have reported the expression of Lewis antigens in prostate tumour tissues, indicating that Sialyl Lewis X (SLeX) and Sialyl Lewis Y (SLeY) are linked to metastatic disease [80–84]. Furthermore, SLeX has been associated with poor prognosis in patients undergoing hormonal therapy [84, 85]. N-glycan MSI studies have also identified larger branched α2,6 sialylated N-glycans in prostate tumour tissues [86]. New advances using a combination of double amidation isomer tagging and N-glycan MSI have advanced the identification of sialylated N-glycans in patient tissue samples [87, 88]. An N-glycan MSI example of a representative prostate cancer tissue showing stabilised α2,3 and α2,6 sialylated N-glycan distributions in stroma and tumour is shown in Fig. 3. MALDI-MSI high-resolution spatial analysis of α2,3 and α2,6 sialylated N-glycan isomers in 381 primary prostatectomy samples in tissue microarray format revealed significant differences in specific N-glycans in patients with Gleason score 6, 7[3 + 4] or 7[4 + 3] disease, including upregulation of α2,3 linked tetra-antennary N-glycans, downregulation of bi-antennary α2,3 and α2,6 N-linked structures and fluctuations in tri- and tetra-antennary glycans of both isomers with tumour advancement. [89]. Prostate-derived cancers growing in bone also contain both α2-6 and α2-3 linked sialic acids, with more tri-antennary sialylated N-glycans represented in bone metastatic tissue compared to primary prostate tumours and an increase in N-glycans with two or more α2-6 sialylated species [90]. We have also detected unique single α2-6 sialylated poly-lactosamine containing N-glycans in bone metastatic prostate tissues [90], which are linked to poor clinical outcomes in metastatic breast cancers [91]. Together, these findings indicate remodelling of sialylated N-glycans with prostate cancer progression, with larger α2-6 sialylated tri-antennary and tetra-antennary N-glycans at high levels in prostate tumours growing in bone.

Fig. 3. Example of N-glycan MSI image of a representative prostate cancer tissue showing stabilized α2,3 and α2,6 sialylated N-glycan distributions in stroma and tumour regions.

Fig. 3

FFPE prostate cancer tissue was processed for N-glycan amidation stabilization of sialic acid isomers prior to MALDI-MSI as described [88]. A H&E stain with tumour region highlighted in yellow. B Distribution of three bi-antennary singly sialylated N-glycan distributions. The spatial colours correspond to the border colour for each glycan structure. C The same stroma glycans (in blue and green) are included with a high mannose glycan (in red). D Two different tumour glycan distributions are detected based on α2,3 (green) or α2,6 (red) sialic acid linkages.

ST6 β-galactoside α-2,6-sialyltransferase 1 (ST6GAL1) catalyses the addition of α2,6-linked sialic acids to terminal N-glycans to modify glycoproteins and/or glycolipids and plays a key role in multiple mechanisms intrinsic to tumour cell biology [92]. Studies have correlated the overexpression of sialyltransferase enzymes that underpin the biosynthesis of malignant glycans to cancer progression [93–98]. In prostate cancer, ST6GAL1 is upregulated in aggressive tumours and aberrant α2,6-linked sialylation is linked to disease progression, bone metastasis and therapy resistance [86, 90, 99, 100]. Mechanistically, the role of ST6GAL1 in aggressive prostate cancer is multi-faceted, involving the regulation of immunosuppressive sialoglycans, promotion of M2-like macrophages and modification of the bone pre-metastatic niche towards bone resorption to promote the vicious cycle [90]. Although canonically ST6GAL1 resides in the intracellular secretory apparatus and glycosylates nascent glycoproteins, ST6GAL1 is also released into the extracellular milieu and is present in blood samples from prostate cancer patients [86]. The impact on prostate cancer cell biology of this non-canonical extrinsic mechanism of ST6GAL1 was previously unknown. However, recent findings indicate ST6GAL1 can be released by cancer cells in small extracellular vesicles and can modulate cell surface sialylation on recipient cells [101].

PSA, PAP and PSMA glycosylation

Glycans provide the potential to augment current liquid biopsies for prostate cancer. Physiologically, the prostate is a secretory gland that produces thousands of glycoproteins present in prostatic fluids. One of the more abundant glycoproteins specifically produced by the prostate gland is prostate-specific antigen (PSA), a serine protease that liquefies semen [102]. Normally, only a minute amount of PSA leaks into the circulating blood, but in prostate cancer patients, there is a disruption of the prostatic epithelium, allowing increased release of PSA into the bloodstream. The PSA blood test can often identify patients with prostate cancer [103]. However, PSA levels in blood circulation can also increase in patients with prostatitis, benign prostatic hyperplasia (BPH) and in men with clinically insignificant disease [102], meaning PSA lacks the required sensitivity and specificity to be used as an accurate screening tool [104]. The diagnostic accuracy of PSA testing can be improved by detecting total PSA levels in combination with other biomarkers or alternative PSA isoforms such as free PSA [105], but further refinements are needed to improve identification of clinically significant prostate cancer. PSA is a glycoprotein with a single N-glycosylation site at asparagine (Asn)-69 [20]. The most abundant PSA glycoform in healthy men is a complex type bi-antennary oligosaccharide [106], although a genetic polymorphism (SNP), with an allele frequency of 4%, has been reported to lead to an additional glycosylation site [107].

Advances in prostate glycobiology provide the means to potentially enhance the efficacy of the current PSA test. Numerous studies have sought to detect different PSA-glycoforms in blood or urine samples to provide diagnostic and prognostic information [61, 108, 109]. Findings suggest that serum PSA from patients with prostate cancer may have increased levels of fucosylation [110], as well as increased α2,3-linked sialic acid [111]. More recent studies suggest serum core fucosylated PSA holds value for the detection of high-risk prostate cancer [59] and that altered PSA glycosylation could be used to identify patients with CRPC [112]. It has also recently been reported that PSA glycoforms are altered in situ in prostate cancer tissue compared to adjacent benign prostate tissue [113]. A study published in 2024 showed that the detection of two free PSA glycoforms, recognised by WFL lectin and PHA-E lectin, which bind the N-acetyl sugar residues GalNAc, LacdiNAc and bisecting GlcNAc, outperforms total PSA and PSA-based Prostate Health Index (PHI) tests and has significant clinical potential to detect prostate cancer [114]. While clinically, serum/plasma are routinely used for measurement of PSA protein levels, as PSA is detected at low levels (nanogram/mL) in blood, this often makes analysis of circulating PSA glycoforms challenging. PSA levels are much higher in seminal fluids (milligram/mL), expressed prostatic secretions (EPS) and urine (microgram/mL) and numerous studies have focused on evaluating PSA glycoforms in these fluids (reviewed in [108]). Together, these findings point to the future development of a glycosylation-based PSA test to improve prostate cancer diagnosis. However, it should be noted that in PSA glycoform studies with high sensitivity values, specificity values are often low and it has been suggested that it will be necessary to monitor multiple glycan structural changes to improve diagnostic performance. In addition, many PSA glycoform studies do not fully represent the patient groups with the highest clinical need for improved diagnosis and further studies using larger, more clinically relevant patient cohorts are needed to translate these findings into patient benefit.

Similar to PSA, Prostatic acid phosphatase (PAP) is a glycoprotein mainly synthesised in prostate epithelial cells [115]. Prior to PSA, PAP was investigated as a marker for prostate cancer detection, but was shown to exhibit non-specific expression in multiple organs [116]. PAP contains three N-glycosylation sites and the glycosylation of PAP is critical for its stability [117]. Alterations to PAP glycosylation have been correlated to prostate cancer in numerous studies [118], with increased fucosylation and decreased sialylation detected in cancerous prostate tissue compared to healthy control tissues [119]. In 2023, Wang et al. established an in-depth glycoproteomic assay for characterisation of PAP in urine, which importantly can distinguish α2,3 from α2,6-linked sialylation and enables in-depth characterisation of the PAP N-glycome [118]. Although it has only been tested on a limited number of patient samples so far, the study provides an important foundation to verify previous discoveries and evaluate the diagnostic potential of PAP glycoforms in prostate cancer.

Prostate-Specific Membrane Antigen (PSMA) is a transmembrane protein expressed in prostatic tissues and is a diagnostic and possibly therapeutic target [120]. High expression of PSMA is associated with high-grade prostate tumours [121]. Clinically, PSMA is used to improve imaging in prostate cancer detection [122] and has been explored as a non-invasive biomarker [123, 124]. PSMA is heavily glycosylated, with 10 predicted glycosylation sites and glycans making up 30% of its molecular mass [125]. Recent findings suggest glycosylation of PSMA by MGAT5 is required for its expression and identify a potential link with tumour malignancy through activation of STAT3 [126]. However, relative to PSA, PSMA glycoforms have been understudied as diagnostic biomarkers [127]. Alterations to PSMA glycoforms include increased N-glycan branching [126] and changes to sialylation [128] and fucosylation [129]. Aberrantly glycosylated PSMA can be detected in patient urine and assays that detect PSMA glycosylation are beginning to show promise to improve prostate cancer diagnosis. For example, macrophage galactose-type lectin (MGL) conjugated nanoparticles can be used to detect a PSMA glycovariant to discriminate prostate cancer from benign conditions [130], although further studies using larger patient cohorts are needed to fully assess clinical performance.

O-glycans

O-glycans represent one of the most abundant and diverse glycan types, found on ~80% of proteins travelling through the secretory pathway [131]. Mucin-type O-glycosylation occurs in the Golgi apparatus, where GalNAc is added to serine/threonine residues on proteins, followed by the step-wise addition of additional monosaccharides [18]. Historically, the O-glycome has remained incompletely characterised due to structural complexity, its dynamic nature and analytical challenges [15]. Unlike N-glycosylation, there is no pre-formed precursor for O-glycans and O-glycans are dynamic modifications that change rapidly in response to cellular conditions. Until recently, there was no identification of a single analogous endoglycosidase enzyme for O-glycans (like PNGaseF is used to release N-glycans from proteins). However, advances in glycoproteomics in recent years have led to emerging studies that provide insights into how mucin-type O-glycosylation is altered in cancer [132, 133]. Kawahara et al. utilised sensitive glycomics and glycoproteomics to map O-glycans in surgically removed prostate cancer tissues. This identified tumour grade-specific dynamic remodelling of the prostate cancer O-glycome, with a significant reduction in sialylated core-1 and increased sialylated core-2 structures during disease progression [134]. Correlations between the O-glycoproteome and prostate cancer progression were also identified, including a robust increase in site-specific core 2 type O-glycosylation of collagen VI in higher-grade tumours [134]. Studies suggest core 2 O-glycans are linked to natural killer cell immunity and prostate cancer metastasis [135]; however, the specific role of core 2 O-glycosylation of collagen VI in prostate cancer has not yet been investigated.

The aberrant expression of glycosyltransferase enzymes is a key mechanism underlying changes to O-glycans in cancer [136] and numerous O-glycosyltransferase enzymes have been implicated in prostate cancer progression, including GALNT7, ST6GALNAC1, GCNT1 and ST3GAL1. Upregulation of N-acetylgalactosaminyltransferase 7 (GALNT7), which is part of a family of 20 enzymes that initiate mucin-type O-linked glycosylation, is a feature of prostate cancer that modifies O-glycosylation and promotes tumour growth [137]. The levels of GALNT7 are significantly higher in prostate cancer tissues relative to normal prostate tissue and GALNT7 levels remain high in therapy-resistant prostate cancer [137]. Furthermore, GALNT7 is also upregulated in urine and blood samples from men with prostate cancer and is being explored as a diagnostic biomarker for the early detection of clinically significant disease (NCT06554587). Mechanistically, GALNT7 correlates with cell cycle and immune signalling pathways in prostate cancer cells, including the regulation of tumour suppressor FOXO1. A ‘bump and hole’ chemical reporter system demonstrated that GALNT7 modifies the secretome of prostate cancer cells and, using site-specific O-glycoproteomics, 34 glycopeptides have been identified as potential enzyme substrates [137]. GALNT7 is also linked to altered expression of the Thomsen-nouveau (Tn) antigen (GalNAcα1-Ser/Thr) in prostate cancer cells [137]. While Tn is normally modified in the Golgi apparatus into more complex O-glycans, in many cancers the biosynthetic pathway is truncated, leading to abnormal expression of truncated O-glycans on the cell surface [138]. Historical data estimated that 90% of prostate cancers express the Tn antigen; however, a more recent analysis of 77 prostate tumours using different antibodies indicated that only 4–26% of prostate cancers are Tn positive [139]. Mechanistically, the Tn antigen is linked to metastasis [140] and binding of Tn to the MGL receptor on macrophages and dendritic cells contributes to an immune suppressive microenvironment [141]. Although the specific functional role of Tn in prostate cancer remains to be investigated, studies from other types of cancer highlight the potential importance of Tn in prostate cancer biology and point to the need for further studies in this area.

A glycan structure called sialyl-Tn (sTn) antigen is detected on many cancers, where it is associated with disease progression and poor prognosis [138, 142–145]. The sTn antigen is formed by the enzyme ST6 N-acetylgalactosaminide alpha-2,6-sialyltransferase 1 (ST6GALNAC1) that catalyses the addition of a sialic acid residue onto the Tn antigen to form the sTn antigen (Neu5Acα2-6GalNAcα1-O-Ser/Thr), a terminal structure that cannot be further elongated [146–148]. ST6GALNAC1 is upregulated in prostate cancer and this correlates with the expression of sTn [149], which has been detected in up to half of high-grade prostate tumours [150, 151]. Levels of the sTn antigen in prostate cancer cells may increase under hypoxia [152] and in response to androgens, and have been linked to reduced cell adhesion and a more mesenchymal cell phenotype [149]. A comprehensive analysis of ST6GALNAC1 and sTn in prostate cancers representing the full clinical heterogeneity of the disease has not yet been reported, but will be required to assess the expression of sTn in different disease stages, metastasis and the development of therapy resistance. Advances over the last decade demonstrate that sTn can bind immune cells via specific lectins (including MGL and Siglecs) to inhibit Natural Killer (NK) cell cytotoxicity, dendritic cell maturation and T cell activation and promote immune suppression in the tumour microenvironment [153]. Although the specific role of sTn in prostate tumour immune suppression has not yet been investigated, our recent findings suggest Siglec-15 (which is known to engage sTn [154]) is expressed by macrophages in the prostate tumour immune microenvironment [155]. Multiple studies have identified Siglec-15 as a central glyco-immune checkpoint [156, 157], pointing to the need for further studies to investigate the potential role of the sTn-Siglec-15 axis in prostate cancer biology.

The O-glycosyltransferase Glucosaminyl N-acetyl transferase 1 (GCNT1), which catalyses the formation of core 2 branched O-glycans, has been widely studied in the context of prostate cancer. Several studies have demonstrated that GCNT1 is upregulated in prostate tumours and linked to recurrence after surgery and the spread of prostate cancer cells outside of the prostate gland [158–161]. Increased GCNT1 can enhance the growth of prostate tumours [160, 162] and correlates with higher levels of core 2 O-SLeX on PSA, PAP and MUC1 proteins [158]. In line with previous findings, we recently showed GCNT1 can alter the glycome of prostate cancer cells to increase levels of core 2 O-glycans (including the SLeX structure). Furthermore, we identified 60 potential substrates for GCNT1 in the prostate cancer secretome and showed that upregulation of GCNT1 in prostate cancer cells can impact oncogenic signalling pathways [160]. Notably, SLeX is a Selectin ligand with a key role in metastasis [163] and has been linked to the promotion of prostate cancer metastasis by mediating prostate cancer cell binding to E-selectin [46].

ST3 beta-galactoside alpha-2,3-sialyltransferase 1 (ST3GAL1) catalyses the transfer of sialic acid in α-2,3 linkage to galactose-containing substrates [164]. Studies have investigated ST3GAL1 in breast cancer, where it is responsible for the aberrant sialylation of MUC1, which correlates with tumour grade and promotes tumour growth [164, 165]. In prostate cancer, ST3GAL1 is a suggested biomarker to predict prognosis and monitor disease progression [93] and is increased in CRPC [166]. Studies using prostate cancer cell lines showed that upregulation of ST3GAL1 blocks O-glycan elongation, leading to increased levels of the sialyl-T antigen and reduced apoptosis [167, 168]. ST3GAL1 is a key enzyme responsible for the synthesis of sialoglycans that can engage Siglec receptors on immune cells [169]. Recent findings show ST3GAL1 can modulate prostate tumour immune evasion through the synthesis of ligands for Siglec-7 and Siglec-9 and suggest the levels of ST3GAL1 in prostate tumours negatively correlate with androgen signalling [170]. Taken together, these studies highlight the critical importance of O-glycosyltransferase enzymes and O-glycans in prostate cancer pathology and suggest further studies investigating the prostate cancer O-glycome will ultimately lead to an improved molecular-level understanding of disease mechanisms.

Glycan-mediated immunoregulatory networks in cancer

Changes in glycosylation in cancer have functional consequences on the immune system, with tumour-associated glycans establishing glyco-immunoregulatory networks to promote immune evasion mechanisms [171]. Cancer glycosylation plays a central role in tumour immune editing and contributes to self-associated molecular patterns [172], which are recognised by glycan-binding proteins (GBPs). GBPs, including sialic acid-binding immunoglobulin-like lectins (Siglecs) and Galectins, are expressed and secreted by a range of immune cells in the tumour microenvironment [173–177]. Siglecs are a family of GBPs that are expressed on immune cells and interact with sialoglycans. Humans have 14 Siglecs [178] and many Siglec receptors have immunotyrosine-based inhibitory (ITIM) or switch (ITSM) motifs and are inhibitory [179]. Siglec-sialoglycan interactions likely act as a form of ‘self’ recognition to prevent autoimmune responses [180]. However, many cancer cells upregulate sialoglycan ligands which can engage inhibitory Siglecs, leading to the modulation of immune cell activity within the tumour microenvironment, with relevance to T cells, NK cells, macrophages, dendritic cells and neutrophils [156, 181–186].

Galectins are a family of GBPs characterised by a conserved carbohydrate-binding domain that binds to β-galactosidase on other molecules [187]. Galectins have a wide range of biological functions and have well-established roles in cancer progression and metastasis. This is likely by modulating interactions between tumour cells and the surrounding tumour microenvironment [188, 189]. Galectins modulate immune cells by mediating extracellular clustering of receptor complexes and influencing intracellular signalling and apoptosis [190]. There are 12 galectins in humans and in cancer, galectins can influence T cell activity and induce tolerogenic dendritic cells and immune-suppressive macrophages to support tumour growth and immune escape [191–193]. With mounting evidence that GBPs regulate immune cell function in cancer, there has been a big push to develop therapeutic approaches to inhibit GBP-glycan interactions, which is explored in more detail in the context of prostate cancer below.

Siglecs

Recent studies have identified a critical link between prostate cancer glycobiology and Siglecs, which, along with their sialoglycan ligands act as ‘glyco-immune checkpoints’ to facilitate tumour immune evasion [177, 194, 195]. Findings suggest sialoglycans with the capacity to engage Siglec receptors may be upregulated on the surface of prostate cancer cells [155, 170, 184, 196] and studies have functionally linked altered sialylation to prostate cancer growth, bone metastasis and anti-tumour immunity [86, 90, 170]. Siglec-7 and Siglec-9 correlate with poor prognosis in prostate cancer patients and are highly expressed by myeloid cells, including macrophages in prostate tumour tissues [170, 184]. Mechanistically, sialylated glycoproteins on prostate cancer cells can suppress immune cell killing by binding to Siglec-7 and Siglec-9, with CD59 identified as a candidate ligand for Siglec-9 [184]. Our recent findings reveal a significant upregulation of Siglec-engaging immunosuppressive sialoglycans in prostate tumours growing in bone, including ligands for Siglec-3, -7 and -9. Furthermore, Siglec receptors are expressed by immune cells in the bone metastatic prostate tumour immune microenvironment and sialoglycan ligands for Siglec-7 correlate with bone metastasis and reduced survival times in prostate cancer patients [155]. Further studies investigating the specific role of the Siglec-sialoglycan axis in the growth of prostate tumours are ongoing.

Galectins

Galectin-1 (Gal-1) is the most abundantly expressed Galectin in prostate cancer that is upregulated with progression to CRPC [197]. Gal-1 is highly expressed in CRPC cells but not in androgen-sensitive cells and functions in CRPC growth and invasion through suppression of AR and Akt signalling [198]. Upregulation of Gal-1 has also been linked to AR and AR-V7 expression and their transcriptional activity [199]. Wang et al. recently investigated the role of Gal-1 in the immunosuppressive tumour microenvironment of prostate cancer [200]. This showed Gal-1 is expressed around the tumour stroma and can be secreted by prostate cancer cells. Tumour secreted Gal-1 can bind to receptors on immune cells to induce T cell apoptosis [201]. In line with this, conditioned medium from Gal-1 expressing prostate cancer cells can trigger the apoptosis of T cells and Gal-1 knockdown in prostate cancer cells prevents T cell apoptosis in the tumour microenvironment [200]. Galectin-3 (Gal-3) was initially reported to be decreased in prostate tumours [202]. However, it has since been determined that cleaved Gal-3, rather than intact Gal-3 (detected by older studies), is upregulated in prostate tumours and correlates with tumour progression, metastasis, and PSA levels [203, 204]. Gal-3 is detected in the blood of prostate cancer patients [205, 206] and is implicated as a secreted factor that can alter the tumour microenvironment [189]. In metastatic prostate cancer, Gal-3 can suppress osteoclast differentiation and is crucial to bone remodelling [207, 208]. Gal-3 is also required for prostate tumour cells to establish and maintain immune tolerance through the dysregulation of CD8+ T cell cytotoxic responses [204].

In addition to Gal-1 and Gal-3, other galectins have also been investigated in prostate cancer, with Gal-4, Gal-9 and Gal-12 reported as downregulated in more advanced prostate cancer [197], while Gal-8 is stably expressed during disease progression [209]. Gal-4 can interact with C1GALT1-dependent O-glycans and is linked to castration resistance and poor patient prognosis [166, 210] and Gal-8 has been associated with prostate cancer metastasis through modulation of E-cadherin expression and rearrangement of the cytoskeleton [209]. The potential role of other galectins in prostate cancer biology is unknown, but emerging findings from other cancer types functionally implicate Galectins in all of the cancer hallmarks and suggest this is an exciting area to explore [211, 212]. Interestingly, N-glycan MSI of prostate tumours has indicated that most tetra-antennary glycans (which are upregulated in CRPC) are non-sialylated, which could be a mechanism leading to increased binding of galectins to prostate cancer cells [35].

O-GlcNAcylation

In addition to the glycosylation of membrane and secreted proteins, intracellular proteins can also be glycosylated by the addition of O-GlcNAc (known as O-GlcNAcylation) [213]. This modification occurs on serine or threonine residues on target proteins and plays a fundamental role in numerous cellular processes [213]. O-GlcNAcylation is a reversible modification, facilitated by the O-GlcNAc transferase (OGT) enzyme and removed by O-GlcNAcase (OGA). The hexosamine biosynthetic pathway (HBP) produces UDP-GlcNAc, which is used as a substrate by OGT and plays a key role in the metabolic rewiring observed in cancer [214]. In prostate cancer, O-GlcNAcylation is elevated in primary tumours relative to benign disease [215] and levels of O-GlcNAc correlate with higher Gleason scores and poor patient prognosis [216]. The OGT enzyme is upregulated in aggressive primary prostate cancer and can regulate the stability of c-Myc [217]. UAP1 (UDP-N-Acetylglucosamine Pyrophosphorylase 1), which is the last enzyme in the HBP pathway, is also upregulated in prostate cancer tissues [218]. Conversely, although HBP is elevated in primary prostate cancer and linked to disease progression, in CRPC the pathway is downregulated and HBP inhibition in CRPC may promote tumour growth [219], suggesting that the requirement of HBP by prostate cancer cells is likely tumour stage dependent and that targeting this pathway therapeutically would need to be carefully managed [220].

Targeting aberrant glycosylation for prostate cancer therapy

The targeting of cancer-associated glycosylation is an exciting area of innovation in the development of novel cancer therapies [10, 221]. As discussed in this review, aberrant glycosylation is common in prostate cancer and is linked to multiple oncogenic pathways important in disease progression (Fig. 4). Potential therapeutic strategies being investigated to target aberrant glycosylation to treat prostate cancer include targeting aberrant fucosylation and sialylation, blocking the truncated O-glycans Tn and sTn, the use of small molecule inhibitors to target specific glycosyltransferases and strategies to block Galectins and Siglecs (Fig. 5). Targeting fucosylation represents a promising therapeutic strategy and a repertoire of fucosyltransferase inhibitors has been developed that inhibit fucosylated glycans [42]. Fucosylation inhibitor 2-fluorofucose (SGN-2FF) is an orally bioavailable cell-permeable inhibitor that has shown promising anti-cancer effects both in vitro and in vivo, including for prostate cancer [74] and shows direct and indirect effects on cancer cells, immune cells and the tumour microenvironment [222]. Although a clinical trial evaluating the fucosylation inhibitor SGN-2FF demonstrated preliminary evidence of anti-tumour activity, investigations were terminated due to adverse effects (NCT02952989) [223]. However, additional fucosylation inhibitors have now been developed, including the SGN-2FF derivatives A2FF1P and B2FF1P and the metabolic inhibitors Fucotrim I and Fucotrim II [224–226]. These compounds can effectively shut down the synthesis of fucosylated glycans in prostate cancer cells to suppress proliferation and are being developed as new treatments for prostate cancer, although modifications will be needed to render them more targeted toward cancer cells [47].

Fig. 4. Glycosylation changes in prostate cancer and their role in disease progression.

Fig. 4

Aberrant glycosylation is linked to multiple oncogenic pathways important in prostate tumour growth, metastasis and immune evasion.

Fig. 5. Therapies to target aberrant glycosylation to treat prostate cancer.

Fig. 5

Potential therapeutic strategies being investigated for prostate cancer therapy include targeting aberrant fucosylation and sialylation, blocking the truncated O-glycans Tn and sTn, the use of small molecule inhibitors to target specific glycosyltransferases and strategies to block Galectins and Siglecs.

The targeting of aberrant sialylation is also being explored as a therapeutic strategy for prostate cancer. The sialyltransferase inhibitor P-3FAX-Neu5Ac can inhibit the growth of prostate cancer cells [86] and although targeted or localised delivery of this inhibitor can inhibit metastasis and promote T cell immunity in other cancer types [227, 228], at effective doses, this compound is known to induce renal toxicity [229]. Novel C-5-modified 3-fluoro sialic acid sialyltransferase inhibitors are now available, where the natural N-acetamide group is replaced with a carbamate functionality, which are more efficiently metabolised and reach higher effective concentrations within the cell [230, 231]. The therapeutic potential of the C-5 carbamate sialyltransferase inhibitor P-SiaFNEtoc has been investigated in the context of prostate cancer progression. Sialic acid blockade using P-SiaFNEtoc decreases prostate cancer cell growth and downregulates the expression of genes and proteins important in the trajectory of disease progression [47]. Furthermore, the pre-treatment of prostate cancer cells with P-SiaFNEtoc (to remove sialylated glycans) suppresses the growth of prostate tumours and inhibits the metastatic spread of prostate cancer to bone [90]. Together, these studies provide proof-of-concept data to support targeting aberrant sialylation to treat advanced prostate cancer and highlight the potential to further develop this strategy (once safer, more targeted sialylation inhibitors are available) to develop new therapies for advanced prostate cancer.

The dysregulation of glycosyltransferases is recognised as a primary driver of aberrant glycosylation in cancer that can likely be therapeutically exploited [232]. In prostate cancer, proof-of-principle studies highlight glycosyltransferases, including GALNT7, ST3GAL1, ST6GAL1 and FUT8, as attractive targets for prostate cancer therapy. Small molecule inhibitors of these glycosyltransferases, which are directly focused on enzyme inhibition, are being actively developed [233]. Research to develop small molecule inhibitors of GALNT7 is underway [234] and demonstrating the feasibility of this strategy, an isozyme-selective inhibitor has already been discovered for GALNT3 [235]. Selective inhibitors of FUT8 are available, including FDW028, which has demonstrated in vivo efficacy to suppress tumour growth and prolong the survival of mice with metastatic colorectal cancer [77, 236] and a GDP-dependent covalent inhibitor of FUT8 that functions in cells without mimicking the donor substrate [237]. Studies are ongoing to develop and validate specific novel inhibitors of the sialyltransferase enzymes and promising compounds have been identified that show activity and selectivity towards ST3GAL1 and ST6GAL1 [238]. Moving forward, future studies will of course be needed to further develop and refine these inhibitors for therapeutic use. However, current data are encouraging and we anticipate that specific glycosyltransferase inhibitors will be relevant for prostate cancer therapy and are candidates for further investigation.

Truncated O-glycans, including the Tn and sTn antigens, drive key hallmarks of malignancy and are linked to poor prognosis across multiple tumour types. Both Tn and sTn are usually absent in healthy tissues and this cancer specificity highlights their potential as attractive targets for therapeutic intervention [239]. Studies show that the Tn antigen is expressed by up to 26% of prostate cancers [139] and sTn is detected in up to half of high-grade prostate tumours [150, 151]. Strategies to inhibit Tn and sTn in cancer include monoclonal antibodies, antibody drug conjugates, vaccines and CAR-T cell therapies, with some therapies progressing into pre-clinical development and clinical trials [240, 241]. However, the therapeutic potential of targeting truncated O-glycans in the context of prostate cancer has not yet been investigated and larger studies are needed to explore the prognostic implications of Tn and sTn in larger, well- characterised patient cohorts. Moving forward, we anticipate the use of companion diagnostic tests to identify subsets of prostate cancer patients with high levels of Tn and sTn to stratify those more likely to benefit from treatments targeting these truncated O-glycans.

The therapeutic benefit of targeting Galectins in the context of prostate cancer is also being explored. LLS30 is a small-molecule inhibitor of Gal-1, which decreases the binding affinity of Gal-1 to its binding partners [200]. LLS30 has demonstrated efficacy to suppress the in vivo growth of CRPC models [198]. Therapeutic inhibition of Gal-1 using LLS30 can potentiate the anti-tumour effect of docetaxel [198], is reported to re-sensitise prostate cancers to enzalutamide therapy [199] and can suppress T cell apoptosis to enhance the efficacy of anti-PD-1 therapy [200]. Together, these findings underscore Gal-1 as a promising therapeutic target in prostate cancer and highlight the potential of Gal-1 inhibitors to treat advanced disease. Therapeutic strategies to block Gal-1 activity include drugs, antibodies and vaccines, with some progress towards potential clinical trials [242, 243], although not yet investigated in the context of prostate cancer. Gal-3 has been identified as a fundamental player in prostate tumour immune escape, which is a crucial inhibitor for the success of immunotherapy in prostate cancer [204]. Furthermore, Gal-3 is downregulated by low doses of docetaxel and prior treatment with low-dose docetaxel has been proposed as a therapeutic strategy to enhance prostate cancer immunotherapy [204]. Gal-3 is recognised as a multi-mode promoter in a broad range of cancers and is currently a hotly pursued therapeutic target with several inhibitors in pre-clinical development and/or demonstrating encouraging results in early phase clinical trials [244]. The discovery of galectin inhibitors offers promise for the future treatment of prostate cancer and could represent a starting point for the development of novel combination therapies. Further studies will be necessary to fully elucidate the interplay between Galectins and prostate tumour immunity and to evaluate the therapeutic benefit of targeting Galectins in the context of prostate cancer progression.

The Siglec-sialoglycan axis is a glyco-immune checkpoint where sialoglycans expressed by cancer cells bind to inhibitory Siglec receptors on immune cells. This mechanism enables tumours to evade immune surveillance (similar to the PD-1/PD-L1 checkpoint) and is a major target for cancer immunotherapy [245]. Siglec-engaging immunosuppressive sialoglycans are upregulated in prostate tumours compared to normal prostate tissues and Siglec-7 ligands are associated with poor patient prognosis [155]. Antibody blockade of Siglec-7/9 inhibits prostate cancer xenograft growth and increases immune cell infiltration in a humanised mouse model [184] and an engineered dual-action sialidase (E-612), that strips Siglec ligands from prostate cancer cells, can suppress tumour growth and prolong the survival times of mice with prostate cancer bone metastasis [155]. Together, these studies demonstrate that the Siglec-sialoglycan axis is clinically actionable to impede prostate cancer progression and opens up new opportunities to explore new immune-based interventions for prostate cancer therapy.

Emerging directions and technologies for prostate cancer glycomics

We expect that there are three major areas of research that will enhance and expand on the topic areas covered in this review. The first area is better integration of glycomics with multiplexed spatial transcriptomic and proteomic studies of prostate cancer. There are many published studies in the spatial-omic area for prostate cancer, summarised in reviews [246, 247]. These studies have primarily focused on characterising the roles of the immune microenvironment and cancer- associated fibroblasts in immunotherapy resistance, as well as tumour heterogeneity. Outside of identifying transcripts and proteins that are glycoproteins, none of these studies has linked spatial glycomics or different glycan structural features with glycan biosynthetic and processing genes. There are two studies linking prostate cancer spatial lipidomics with spatial proteomics and transcriptomics [248, 249], so integration of glycomics is feasible. A recent large-scale multi-omics study in glioma integrated spatial transcriptomic, MIBI-tof proteomic profiling and spatial N-glycan MS imaging to identify prognostic signatures of glioma grade [250]. This study illustrates the contribution of including glycomic data in these types of large-scale spatial-omic workflows, and it is expected that similar glycomic-centric approaches applied to prostate cancers will be just as informative.

A second area is improvements in using new mass spectrometry approaches for direct identification of prostate cancer-associated glycopeptides for N- and O-linked glycans, illustrated in some already cited studies [131, 132, 251, 252]. A recent study by the Pitteri lab used site-specific mapping of N-linked glycopeptides to undertake deep glycosylation profiling of matched tumour and normal prostate tissues from 24 patients undergoing radical prostatectomy [251]. The study identified 1354 unique proteins with associated glycopeptides, with only ∼34% of glycopeptides shared between cancer and non-cancer tissues. Consistently larger numbers of unique glycoproteins, glycopeptides and glycosites were identified within the prostate cancer group, emphasising that glycosylation is increased and aberrant in prostate cancer and that site-specific mapping is required to fully understand glycosylation changes [251]. In recent years, there have also been coordinated improvements in high-resolution mass spectrometer capabilities combined with new glycopeptide database identification software [253–255]. There are also new O-glycoprotease workflows to identify O-glycopeptides [256, 257], which have not yet been applied to prostate cancer samples. Improved characterisation of chondroitin sulfate proteoglycans associated with prostate cancer is also expected. This glycopeptide level data can also be integrated and extend existing and future spatial transcriptomic and proteomic studies.

A third area is the new field of cell surface glyco-RNA, originally described as small RNAs that have glycans attached via an amine-linkage that is sensitive to peptide N-glycosidase digestion [258]. Subsequent studies identified the specific RNA carrier and glycan linkage sites [259] and more recently, O-glycan RNA species have been identified [260]. Functionally, glyco-RNAs seem to be important in regulating specific cell surface processes like immune recognition [261] and interactions with heparan sulfate and growth factors [262]. No specific prostate cancer study has yet been published, although research is ongoing as reported in conference abstracts [263, 264]. It is expected that glyco-RNAs will have some functional influence on prostate cancer development and progression.

Conclusions

Glycans are major components of cells, defining and modulating several key physiological processes in prostate tumour growth, metastasis and immune evasion. The rapid development of new technologies to profile glycans in cells and tissues over the last decade, alongside advances in our understanding of how glycosylation modulates biological functions, has led to an increased understanding of prostate tumour glycobiology that is becoming clinically actionable. Moving forward, the development of glycosylation-based biomarkers and glycan-targeting drugs and their translation into cancer diagnosis and therapy is likely to have a major impact on the early diagnosis, patient stratification and improved treatment of prostate cancer.

Author contributions

JM, RRD, KH, MOM and ZP: Conceptualization, writing, review and editing. ZP and RRD creation of figures. LB, ES and GG, writing and editing. DJE and RB review and edit. All authors read and approved the final manuscript.

Funding

This work was funded by Prostate Cancer UK through a Research Innovation Award [RIA21-ST2-006], the Medical Research Council [MR/R015902/1] and Prostate Cancer Research (grant reference 6974), as well as grant support from the US National Institutes of Health (R01 CA282022; R33 CA267226).

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Kirsty Hodgson, Margarita Orozco-Moreno, Ziqian Peng.

References

  • 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71:209–49. [DOI] [PubMed] [Google Scholar]
  • 2.Dodkins J, Cook A, Mayne E, Parry M, Nossiter J, Payne H, et al. Geographic, socioeconomic and demographic inequalities in the incidence of metastatic prostate cancer at time of diagnosis in England: a population-based evaluation. BMJ Oncol. 2025;4:e000643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kratzer TB, Mazzitelli N, Star J, Dahut WL, Jemal A, Siegel RL. Prostate cancer statistics, 2025. CA: A Cancer J Clin. 2025;75:485–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tan MH, Li J, Xu HE, Melcher K, Yong EL. Androgen receptor: structure, role in prostate cancer and drug discovery. Acta Pharm Sin. 2015;36:3–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gillessen S, Attard G, Beer TM, Beltran H, Bossi A, Bristow R, et al. Management of patients with advanced prostate cancer: the report of the advanced prostate cancer consensus conference APCCC 2017. Eur Urol. 2018;73:178–211. [DOI] [PubMed] [Google Scholar]
  • 6.Davis ID, Martin AJ, Stockler MR, Begbie S, Chi KN, Chowdhury S, et al. Enzalutamide with standard first-line therapy in metastatic prostate cancer. N Engl J Med. 2019;381:121–31. [DOI] [PubMed] [Google Scholar]
  • 7.Sweeney CJ, Chen YH, Carducci M, Liu G, Jarrard DF, Eisenberger M, et al. Chemohormonal therapy in metastatic hormone-sensitive prostate cancer. N Engl J Med. 2015;373:737–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Teo MY, Rathkopf DE, Kantoff P. Treatment of advanced prostate cancer. Annu Rev Med. 2019;70:479–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.He M, Zhou X, Wang X. Glycosylation: mechanisms, biological functions and clinical implications. Signal Transduct Target Ther. 2024;9:194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Pinho SS, Reis CA. Glycosylation in cancer: mechanisms and clinical implications. Nat Rev Cancer. 2015;15:540–55. [DOI] [PubMed] [Google Scholar]
  • 11.Varki A, Kannagi R, Toole B, Stanley P. Glycosylation changes in cancer. In: Varki A, Cummings RD,Esko JD, Stanley P, Hart GW, Aebi M et al. (eds). Essentials of Glycobiology, 3rd edn. 2015. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press 2015.
  • 12.Munkley J, Elliott DJ. Hallmarks of glycosylation in cancer. Oncotarget. 2016;7:35478–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Varki A. Biological roles of glycans. Glycobiology. 2017;27:3–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.National Research Council Committee on Assessing the I, Impact of G, Glycosciences. The National Academies Collection: Reports funded by National Institutes of Health. Transforming Glycoscience: A Roadmap for the Future. National Academies Press (US). Copyright © 2012, National Academy of Sciences: Washington. 2012.
  • 15.Hart GW, Copeland RJ. Glycomics hits the big time. Cell. 2010;143:672–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bojar D, Meche L, Meng G, Eng W, Smith DF, Cummings RD, et al. A useful guide to lectin binding: machine-learning directed annotation of 57 unique lectin specificities. ACS Chem Biol. 2022;17:2993–3012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Breitling J, Aebi M. N-linked protein glycosylation in the endoplasmic reticulum. Cold Spring Harb Perspect Biol. 2013;5:a013359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wandall HH, Nielsen MAI, King-Smith S, de Haan N, Bagdonaite I. Global functions of O-glycosylation: promises and challenges in O-glycobiology. FEBS J. 2021;288:7183–212. [DOI] [PubMed] [Google Scholar]
  • 19.Eggermont L, Lumen N, Van Praet C, Delanghe J, Rottey S, Vermassen T. A comprehensive view of N-glycosylation as clinical biomarker in prostate cancer. Biochim Biophys Acta Rev Cancer. 2025;1880:189239. [DOI] [PubMed] [Google Scholar]
  • 20.Munkley J, Mills IG, Elliott DJ. The role of glycans in the development and progression of prostate cancer. Nat Rev Urol. 2016;13:324–33. [DOI] [PubMed] [Google Scholar]
  • 21.de Leoz ML, An HJ, Kronewitter S, Kim J, Beecroft S, Vinall R, et al. Glycomic approach for potential biomarkers on prostate cancer: profiling of N-linked glycans in human sera and pRNS cell lines. Dis Markers. 2008;25:243–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ishibashi Y, Tobisawa Y, Hatakeyama S, Ohashi T, Tanaka M, Narita S, et al. Serum tri- and tetra-antennary N-glycan is a potential predictive biomarker for castration-resistant. Prostate Cancer. 2014;74:1521–9. [DOI] [PubMed] [Google Scholar]
  • 23.Matsumoto T, Hatakeyama S, Yoneyama T, Tobisawa Y, Ishibashi Y, Yamamoto H, et al. Serum N-glycan profiling is a potential biomarker for castration-resistant prostate cancer. Sci Rep. 2019;9:16761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kizuka Y. Regulation of intracellular activity of N-glycan branching enzymes in mammals. J Biol Chem. 2024;300:107471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Osuka RF, Yamasaki T, Kizuka Y. Structure and function of N-acetylglucosaminyltransferase V (GnT-V). Biochim Biophys Acta Gen Subj. 2024;1868:130709. [DOI] [PubMed] [Google Scholar]
  • 26.Tsui KH, Chang PL, Feng TH, Chung LC, Sung HC, Juang HH. Evaluating the function of matriptase and N-acetylglucosaminyltransferase V in prostate cancer metastasis. Anticancer Res. 2008;28:1993–9. [PubMed] [Google Scholar]
  • 27.Scott E, Garnham R, Cheung K, Duxfield A, Elliott DJ, Munkley J. Pro-survival factor EDEM3 conferstherapy resistance in prostate cancer. Int J Mol Sci. 2022;23:8184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Sabbah A, Delouya G, Laskine M, Taussky D. Metabolic plasticity in prostate cancer: the warburg effect and its clinical relevance. Am J Clin Oncol. 2025;48:566–71. [DOI] [PubMed] [Google Scholar]
  • 29.Sinclair JW, Hoying DR, Bresciani E, Nogare DD, Needle CD, Berger A. The Warburg effect is necessary to promote glycosylation in the blastema during zebrafish tail regeneration. NPJ Regen Med. 2021;6:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Azevedo CM, Xie B, Gunn WG, Peralta RM, Dantas CS, Fernandes-Mendes H, et al. Reprogramming CD8+ T-cell branched N-glycosylation limits exhaustion, enhancing cytotoxicity and tumor killing. Cancer Immunol Res. 2025;13:1655–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.McDowell CT, Lu X, Mehta AS, Angel PM, Drake RR. Applications and continued evolution of glycan imaging mass spectrometry. Mass Spectrom Rev. 2023;42:674–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Powers TW, Neely BA, Shao Y, Tang H, Troyer DA, Mehta AS, et al. MALDI imaging mass spectrometry profiling of N-glycans in formalin-fixed paraffin-embedded clinical tissue blocks and tissue microarrays. PLoS One. 2014;9:e106255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Drake RR, Powers TW, Norris-Caneda K, Mehta AS, Angel PM. In situ imaging of N-Glycans by MALDI imaging mass spectrometry of fresh or formalin-fixed paraffin-embedded tissue. Curr Protoc Protein Sci. 2018;94:e68. [DOI] [PubMed] [Google Scholar]
  • 34.Djambazova KV, van Ardenne JM, Spraggins JM. Advances in imaging mass spectrometry for biomedical and clinical research. Trends Analyt Chem. 2023;169:117344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Butler W, McDowell C, Yang Q, He Y, Zhao Y, Hauck JS, et al. Rewiring of the N-Glycome with prostate cancer progression and therapy resistance. NPJ Precis Oncol. 2023;7:22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hartig JP, Bejar K, Young LEA, Grimsley G, Bethard JR, Troyer DA, et al. Determining the N-glycan and collagen/extracellular matrix protein compositions in a novel outcome cohort of prostate cancer tissue microarrays using MALDI-MSI. Cancer Res Commun. 2024;4:3036–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Artamonova N, Djanani A, Schmiederer A, Pipp I, Compérat E, di Santo G, et al. Small cell neuroendocrine prostate cancer with adenocarcinoma components: case report and literature review. Transl Androl Urol. 2024;13:868–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Troncoso MF, Elola MT, Blidner AG, Sarrias L, Espelt MV, Rabinovich GA. The universe of galectin-binding partners and their functions in health and disease. J Biol Chem. 2023;299:105400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hirabayashi J, Hashidate T, Arata Y, Nishi N, Nakamura T, Hirashima M, et al. Oligosaccharide specificity of galectins: a search by frontal affinity chromatography. Biochim Biophys Acta. 2002;1572:232–54. [DOI] [PubMed] [Google Scholar]
  • 40.Fujita K, Hatano K, Hashimoto M, Tomiyama E, Miyoshi E, Nonomura N. Fucosylation in urological cancers. Int J Mol Sci. 2021;22:13333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Becker DJ, Lowe JB. Fucose: biosynthesis and biological function in mammals. Glycobiology. 2003;13:41R–53R. [DOI] [PubMed] [Google Scholar]
  • 42.Bastian K, Scott E, Elliott DJ, Munkley J. FUT8 Alpha-(1,6)-Fucosyltransferase in Cancer. Int J Mol Sci. 2021;22:455. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Li J, Hsu HC, Mountz JD, Allen JG. Unmasking fucosylation: from cell adhesion to immune system regulation and diseases. Cell Chem Biol. 2018;25:499–512. [DOI] [PubMed] [Google Scholar]
  • 44.Miyoshi E, Moriwaki K, Nakagawa T. Biological function of fucosylation in cancer biology. J Biochem. 2008;143:725–9. [DOI] [PubMed] [Google Scholar]
  • 45.Li J, Guillebon AD, Hsu JW, Barthel SR, Dimitroff CJ, Lee YF, et al. Human fucosyltransferase 6 enables prostate cancer metastasis to bone. Br J Cancer. 2013;109:3014–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Barthel SR, Wiese GK, Cho J, Opperman MJ, Hays DL, Siddiqui J, et al. Alpha 1,3 fucosyltransferases are master regulators of prostate cancer cell trafficking. Proc Natl Acad Sci USA 2009;106:19491–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Orozco-Moreno M, Visser EA, Hodgson K, Hipgrave Ederveen AL, Bastian K, Goode EA, et al. Targeting aberrant sialylation and fucosylation in prostate cancer cells using potent metabolic inhibitors. Glycobiology. 2023;33:1155–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ippolito JE, Hartig JP, Bejar K, Nakhoul H, Sehn JK, Weimholt C, et al. N-linked fucosylated glycans are biomarkers for prostate cancer with a neuroendocrine and metastatic phenotype. Mol Cancer Res. 2025;23:59–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Homeister JW, Thall AD, Petryniak B, Malý P, Rogers CE, Smith PL, et al. The alpha(1,3)fucosyltransferases FucT-IV and FucT-VII exert collaborative control over selectin-dependent leukocyte recruitment and lymphocyte homing. Immunity. 2001;15:115–26. [DOI] [PubMed] [Google Scholar]
  • 50.Zipin A, Israeli-Amit M, Meshel T, Sagi-Assif O, Yron I, Lifshitz V, et al. Tumor-microenvironment interactions: the fucose-generating FX enzyme controls adhesive properties of colorectal cancer cells. Cancer Res. 2004;64:6571–8. [DOI] [PubMed] [Google Scholar]
  • 51.Shi M, Nan XR, Liu BQ. The multifaceted role of FUT8 in tumorigenesis: from pathways to potential clinical applications. Int J Mol Sci. 2024;25:1068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Lv Y, Zhang Z, Tian S, Wang W, Li H. Therapeutic potential of fucosyltransferases in cancer and recent development of targeted inhibitors. Drug Discov Today. 2023;28:103394. [DOI] [PubMed] [Google Scholar]
  • 53.Mao C, Li J, Feng L, Gao W. Beyond antibody fucosylation: alpha-(1,6)-fucosyltransferase (Fut8) as a potential new therapeutic target for cancer immunotherapy. Antib Ther. 2023;6:87–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Wang X, Chen J, Li QK, Peskoe SB, Zhang B, Choi C, et al. Overexpression of α (1,6) fucosyltransferase associated with aggressive prostate cancer. Glycobiology. 2014;24:935–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Saldova R, Fan Y, Fitzpatrick JM, Watson RW, Rudd PM. Core fucosylation and alpha2-3 sialylation in serum N-glycome is significantly increased in prostate cancer comparing to benign prostate hyperplasia. Glycobiology. 2011;21:195–205. [DOI] [PubMed] [Google Scholar]
  • 56.Liao C, An J, Yi S, Tan Z, Wang H, Li H, et al. FUT8 and protein core fucosylation in tumours: from diagnosis to treatment. J Cancer. 2021;12:4109–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Lang R, Leinenbach A, Karl J, Swiatek-de Lange M, Kobold U, Vogeser M. An endoglycosidase-assisted LC-MS/MS-based strategy for the analysis of site-specific core-fucosylation of low-concentrated glycoproteins in human serum using prostate-specific antigen (PSA) as example. Clin Chim Acta. 2018;480:1–8. [DOI] [PubMed] [Google Scholar]
  • 58.Kammeijer GSM, Nouta J, de la Rosette J, de Reijke TM, Wuhrer M. An in-depth glycosylation assay for urinary prostate-specific antigen. Anal Chem. 2018;90:4414–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Fujita K, Hatano K, Tomiyama E, Hayashi Y, Matsushita M, Tsuchiya M, et al. Serum core-type fucosylated prostate-specific antigen index for the detection of high-risk prostate cancer. Int J Cancer. 2021;148:3111–8. [DOI] [PubMed] [Google Scholar]
  • 60.Hatano K, Yoneyama T, Hatakeyama S, Tomiyama E, Tsuchiya M, Nishimoto M, et al. Simultaneous analysis of serum α2,3-linked sialylation and core-type fucosylation of prostate-specific antigen for the detection of high-grade prostate cancer. Br J Cancer. 2022;126:764–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Gilgunn S, Conroy PJ, Saldova R, Rudd PM, O’Kennedy RJ. Aberrant PSA glycosylation–a sweet predictor of prostate cancer. Nat Rev Urol. 2013;10:99–107. [DOI] [PubMed] [Google Scholar]
  • 62.Llop E, Ferrer-Batalle M, Barrabes S, Guerrero PE, Ramirez M, Saldova R, et al. Improvement of prostate cancer diagnosis by detecting PSA glycosylation-specific changes. Theranostics. 2016;6:1190–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Halldórsson S, Hillringhaus L, Hojer C, Muranyi A, Schraeml M, Lange MS, et al. Development of a first-in-class antibody and a specific assay for α-1,6-fucosylated prostate-specific antigen. Sci Rep. 2024;14:16512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Fujita K, Shimomura M, Uemura M, Nakata W, Sato M, Nagahara A, et al. Serum fucosylated haptoglobin as a novel prognostic biomarker predicting high-Gleason prostate cancer. Prostate. 2014;74:1052–8. [DOI] [PubMed] [Google Scholar]
  • 65.Wallace EN, West CA, McDowell CT, Lu X, Bruner E, Mehta AS, et al. An N-glycome tissue atlas of 15 human normal and cancer tissue types determined by MALDI-imaging mass spectrometry. Sci Rep. 2024;14:489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Uozumi N, Yanagidani S, Miyoshi E, Ihara Y, Sakuma T, Gao CX, et al. Purification and cDNA cloning of porcine brain GDP-L-Fuc:N-acetyl-beta-D-glucosaminide alpha1–>6fucosyltransferase. J Biol Chem. 1996;271:27810–7. [DOI] [PubMed] [Google Scholar]
  • 67.Miyoshi E, Noda K, Yamaguchi Y, Inoue S, Ikeda Y, Wang W, et al. The alpha1-6-fucosyltransferase gene and its biological significance. Biochim Biophys Acta. 1999;1473:9–20. [DOI] [PubMed] [Google Scholar]
  • 68.Schneider M, Al-Shareffi E, Haltiwanger RS. Biological functions of fucose in mammals. Glycobiology. 2017;27:601–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.García-García A, Ceballos-Laita L, Serna S, Artschwager R, Reichardt NC, Corzana F, et al. Structural basis for substrate specificity and catalysis of α1,6-fucosyltransferase. Nat Commun. 2020;11:973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Yang Q, Wang LX. Mammalian alpha-1,6-Fucosyltransferase (FUT8) Is The Sole Enzyme Responsible For The N-acetylglucosaminyltransferase I-independent core fucosylation of high-mannose N-glycans. J Biol Chem. 2016;291:11064–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Wang X, Inoue S, Gu J, Miyoshi E, Noda K, Li W, et al. Dysregulation of TGF-beta1 receptor activation leads to abnormal lung development and emphysema-like phenotype in core fucose-deficient mice. Proc Natl Acad Sci USA 2005;102:15791–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Höti N, Yang S, Hu Y, Shah P, Haffner MC, Zhang H. Overexpression of α (1,6) fucosyltransferase in the development of castration-resistant prostate cancer cells. Prostate Cancer Prostatic Dis. 2018;21:137–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Hoti N, Lih TS, Pan J, Zhou Y, Yang G, Deng A. A comprehensive analysis of FUT8 overexpressing prostate cancer cells reveals the role of EGFR in castration resistance. Cancers. 2020;12:468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Bastian K, Orozco-Moreno M, Thomas H, Hodgson K, Visser EA, Rossing E, et al. FUT8 is a critical driver of prostate tumour growth and can be targeted using fucosylation inhibitors. Cancer Med. 2025;14:e70959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Ma Q, Liu Y, Fan Q, Zhu X, Yang D, Zhao Z. Advances in cancer research on FUT8 molecular mechanisms and clinical applications. Int J Surg. 2025;111:6290–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Huang Y, Zhang HL, Li ZL, Du T, Chen YH, Wang Y, et al. FUT8-mediated aberrant N-glycosylation of B7H3 suppresses the immune response in triple-negative breast cancer. Nat Commun. 2021;12:2672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Wang M, Zhang Z, Chen M, Lv Y, Tian S, Meng F, et al. FDW028, a novel FUT8 inhibitor, impels lysosomal proteolysis of B7-H3 via chaperone-mediated autophagy pathway and exhibits potent efficacy against metastatic colorectal cancer. Cell Death Dis. 2023;14:495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Zhang N, Li M, Xu X, Zhang Y, Liu Y, Zhao M, et al. Loss of core fucosylation enhances the anticancer activity of cytotoxic T lymphocytes by increasing PD-1 degradation. Eur J Immunol. 2020;50:1820–33. [DOI] [PubMed] [Google Scholar]
  • 79.Kałuża A, Szczykutowicz J, Ferens-Sieczkowska M. Glycosylation: rising potential for prostate cancer evaluation. Cancers. 2021;13:3726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Jørgensen T, Berner A, Kaalhus O, Tveter KJ, Danielsen HE, Bryne M. Up-regulation of the oligosaccharide sialyl LewisX: a new prognostic parameter in metastatic prostate cancer. Cancer Res. 1995;55:1817–19. [PubMed] [Google Scholar]
  • 81.Culig Z, Hittmair A, Hobisch A, Bartsch G, Klocker H, Pai LH, et al. Expression of Lewis carbohydrate antigens in metastatic lesions from human prostatic carcinoma. Prostate. 1998;36:162–67. [DOI] [PubMed] [Google Scholar]
  • 82.Mårtensson S, Bigler SA, Brown M, Lange PH, Brawer MK, Hakomori S. Sialyl-Lewis(x) and related carbohydrate antigens in the prostate. Hum Pathol. 1995;26:735–39. [DOI] [PubMed] [Google Scholar]
  • 83.Walker PD, Karnik S, deKernion JB, Pramberg JC. Cell surface blood group antigens in prostatic carcinoma. Am J Clin Pathol. 1984;81:503–506. [DOI] [PubMed] [Google Scholar]
  • 84.Young WW Jr., Mills SE, Lippert MC, Ahmed P, Lau SK. Deletion of antigens of the Lewis a/b blood group family in human prostatic carcinoma. Am J Pathol. 1988;131:578–86. [PMC free article] [PubMed] [Google Scholar]
  • 85.Butler W, Huang J. Glycosylation changes in prostate cancer progression. Front Oncol. 2021;11:809170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Scott E, Archer Goode E, Garnham R, Hodgson K, Orozco-Moreno M, Turner H, et al. ST6GAL1-mediated aberrant sialylation promotes prostate cancer progression. J Pathol. 2023;261:71–84. [DOI] [PubMed] [Google Scholar]
  • 87.Ngai YT, Lau D, Mittal P, Hoffmann P. Mini review: highlights of recent advances and applications of MALDI mass spectrometry imaging in 2024. Anal Sci Adv. 2025;6:e70016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Lu X, McDowell CT, Blaschke CRK, Liu L, Grimsley G, Wisniewski L, et al. Bioorthogonal chemical labeling probes targeting sialic acid isomers for N-glycan MALDI imaging mass spectrometry of tissues, cells, and biofluids. Anal Chem. 2023;95:7475–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Rashford K, Kittrell C, Drake BF, Ahmed A, Klim A, Kim E, et al. Abstract 766: Spatial evaluation of tumor sialylation of N-linked glycans in prostate cancer tissues. Cancer Res. 2025;85:766–766. [Google Scholar]
  • 90.Hodgson K, Orozco-Moreno M, Goode EA, Fisher M, Garnham R, Beatson R, et al. Sialic acid blockade inhibits the metastatic spread of prostate cancer to bone. EBioMedicine. 2024;104:105163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Herrera H, Dilday T, Uber A, Scott D, Zambrano JN, Wang M. Core-fucosylated tetra-antennary N-glycan containing a single N-acetyllactosamine branch is associated with poor survival outcome in breast cancer. Int J Mol Sci. 2019;20:2528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Garnham R, Scott E, Livermore KE, Munkley J. ST6GAL1: a key player in cancer. Oncol Lett. 2019;18:983–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Dobie C, Skropeta D. Insights into the role of sialylation in cancer progression and metastasis. Br J Cancer. 2021;124:76–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Bhalerao N, Chakraborty A, Marciel MP, Hwang J, Britain CM, Silva AD. ST6GAL1 sialyltransferase promotes acinar to ductal metaplasia and pancreatic cancer progression. JCI Insight. 2023;8:e161563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Xu X, Liu J, Qin W, Ding C, Cai Z, Shu D, et al. ST6GAL1-mediated sialylation stabilizes PD-L1 and drives immunosuppressive tumor microenvironment in colorectal cancer. Adv Sci. 2025;12:e06225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Jones RB, Silva AD, Ankenbauer KE, Britain CM, Chakraborty A, Brown JA, et al. Role of the ST6GAL1 sialyltransferase in regulating ovarian cancer cell metabolism. Glycobiology. 2023;33:626–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Silva AD, Hwang J, Marciel MP, Bellis SL. The pro-inflammatory cytokines IL-1β and IL-6 promote upregulation of the ST6GAL1 sialyltransferase in pancreatic cancer cells. J Biol Chem. 2024;300:107752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Kurz E, Chen S, Vucic E, Baptiste G, Loomis C, Agrawal P, et al. Integrated systems analysis of the murine and human pancreatic cancer glycomes reveals a tumor-promoting role for ST6GAL1. Mol Cell Proteom. 2021;20:100160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Wei A, Fan B, Zhao Y, Zhang H, Wang L, Yu X, et al. ST6Gal-I overexpression facilitates prostate cancer progression via the PI3K/Akt/GSK-3β/β-catenin signaling pathway. Oncotarget. 2016;7:65374–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Goode EA, Orozco-Moreno M, Hodgson K, Nabilah A, Murali M, Peng Z, et al. Sialylation inhibition can partially revert acquired resistance to enzalutamide in prostate cancer cells. Cancers. 2024;16:2953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Bach CA, Hossain MN, Chaudhari IJ, Verrillo CE, Naranjo NM, Amoroso I, et al. A novel sialylation pathway mediated by extracellular vesicles in aggressive prostate cancer. PLoS One. 2025;20:e0329014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Lilja H, Ulmert D, Vickers AJ. Prostate-specific antigen and prostate cancer: prediction, detection and monitoring. Nat Rev Cancer. 2008;8:268–78. [DOI] [PubMed] [Google Scholar]
  • 103.Ilic D, Djulbegovic M, Jung JH, Hwang EC, Zhou Q, Cleves A, et al. Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis. Bmj. 2018;362:k3519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Sundaresan VM, Smani S, Rajwa P, Renzulli J, Sprenkle PC, Kim IY, et al. Prostate-specific antigen screening for prostate cancer: diagnostic performance, clinical thresholds, and strategies for refinement. Urol Oncol. 2025;43:41–48. [DOI] [PubMed] [Google Scholar]
  • 105.Loeb S, Lilja H, Vickers A. Beyond prostate-specific antigen: utilizing novel strategies to screen men for prostate cancer. Curr Opin Urol. 2016;26:459–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Ohyama C, Hosono M, Nitta K, Oh-eda M, Yoshikawa K, Habuchi T, et al. Carbohydrate structure and differential binding of prostate-specific antigen to Maackia amurensis lectin between prostate cancer and benign prostate hypertrophy. Glycobiology. 2004;14:671–9. [DOI] [PubMed] [Google Scholar]
  • 107.Srinivasan S, Stephens C, Wilson E, Panchadsaram J, DeVoss K, Koistinen H, et al. prostate cancer risk-associated single-nucleotide polymorphism affects prostate-specific antigen glycosylation and its function. Clin Chem. 2019;65:e1–e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Hartig J, Young LEA, Grimsley G, Mehta AS, Ippolito JE, Leach RJ, et al. The glycosylation landscape of prostate cancer tissues and biofluids. Adv Cancer Res. 2024;161:1–30. [DOI] [PubMed] [Google Scholar]
  • 109.Hatakeyama S, Yoneyama T, Tobisawa Y, Yamamoto H, Ohyama C. Narrative review of urinary glycan biomarkers in prostate cancer. Transl Androl Urol. 2021;10:1850–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Dwek MV, Jenks A, Leathem AJ. A sensitive assay to measure biomarker glycosylation demonstrates increased fucosylation of prostate-specific antigen (PSA) in patients with prostate cancer compared with benign prostatic hyperplasia. Clin Chim Acta. 2010;411:1935–9. [DOI] [PubMed] [Google Scholar]
  • 111.Peracaula R, Tabarés G, Royle L, Harvey DJ, Dwek RA, Rudd PM, et al. Altered glycosylation pattern allows the distinction between prostate-specific antigen (PSA) from normal and tumor origins. Glycobiology. 2003;13:457–70. [DOI] [PubMed] [Google Scholar]
  • 112.Bertokova A, Bertok T, Jane E, Hires M, Ďubjaková P, Novotná O, et al. Detection of N,N-diacetyllactosamine (LacdiNAc) containing free prostate-specific antigen for early stage prostate cancer diagnostics and for identification of castration-resistant prostate cancer patients. Bioorg Med Chem. 2021;39:116156. [DOI] [PubMed] [Google Scholar]
  • 113.Koistinen H, Merivirta RM, Lehto TP, Lempiainen A, Erickson A, Stenman UH, et al. Altered glycosylation of PSA in prostate cancer tissue. Prostate. 2025;85:1290–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Pinkeova A, Tomikova A, Bertokova A, Fabinyova E, Bartova R, Jane E, et al. Glycoprofiling of proteins as prostate cancer biomarkers: a multinational population study. PLoS One. 2024;19:e0300430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Kong HY, Byun J. Emerging roles of human prostatic acid phosphatase. Biomol Ther (Seoul). 2013;21:10–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Solin T, Kontturi M, Pohlmann R, Vihko P. Gene expression and prostate specificity of human prostatic acid phosphatase (PAP): evaluation by RNA blot analyses. Biochim Biophys Acta. 1990;1048:72–7. [DOI] [PubMed] [Google Scholar]
  • 117.Hurt JK, Fitzpatrick BJ, Norris-Drouin J, Zylka MJ. Secretion and N-linked glycosylation are required for prostatic acid phosphatase catalytic and antinociceptive activity. PLoS One. 2012;7:e32741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Wang W, de Nier CR, Wuhrer M, Lageveen-Kammeijer GSM. In-depth glycoproteomic assay of urinary prostatic acid phosphatase. ACS Meas Sci Au. 2024;4:117–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Sugár S, Tóth G, Bugyi F, Vékey K, Karászi K, Drahos L, et al. Alterations in protein expression and site-specific N-glycosylation of prostate cancer tissues. Sci Rep. 2021;11:15886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Chang SS. Overview of prostate-specific membrane antigen. Rev Urol. 2004;6 Suppl 10:S13–18. [PMC free article] [PubMed] [Google Scholar]
  • 121.Zhang H, Xiao L, Xie H, Li L. Hotspots and frontiers in PSMA research for prostate cancer: a bibliometric and visualization analysis over the past 20 years. Eur J Med Res. 2023;28:610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.von Stauffenberg F, Poyet C, Beintner-Skawran S, Maurer A, Schmid FA. Current clinical applications of PSMA-PET for prostate cancer diagnosis, staging, and treatment. Cancers. 2024;16:4263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Wang C-B, Chen S-H, Zhao L, Jin X, Chen X, Ji J, et al. Urine-derived exosomal PSMA is a promising diagnostic biomarker for the detection of prostate cancer on initial biopsy. Clin Transl Oncol. 2023;25:758–67. [DOI] [PubMed] [Google Scholar]
  • 124.Allelein S, Aerchlimann K, Roesch G, Khajehamiri R, Koelsch A, Freese C, et al. Prostate-specific membrane antigen (PSMA)-positive extracellular vesicles in urine—a potential liquid biopsy strategy for prostate cancer diagnosis? Cancers. 2022;14:2987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Mackay S, Oduor IO, Burch TC, Troyer DA, Semmes OJ, Nyalwidhe JO. Prostate-specific membrane antigen (PSMA) glycoforms in prostate cancer patients seminal plasma. Prostate. 2024;84:479–90. [DOI] [PubMed] [Google Scholar]
  • 126.Shi Y, Shi M, Du W, Zhang Y, Li B, Zhang T, et al. Increased N-glycosylation of PSMA by GnT-V enhances tumor malignancy through interacting with JAK2 and the subsequent STAT3-mediated transcriptional activation in prostate cancer. Int J Biol Macromol. 2025;307:142238. [DOI] [PubMed] [Google Scholar]
  • 127.Yuan W, Liu B, Sanda M, Wei R, Benicky J, Novakova Z, et al. Glycoforms of human prostate-specific membrane antigen (PSMA) in human cells and prostate tissue. Prostate. 2022;82:132–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Mackay S, Oduor IO, Burch TC, Main BP, Troyer DA, Semmes OJ, et al. Increased α2, 3-sialyl N-glycosylated prostate-specific membrane antigen (PSMA) in post-DRE urine is associated with high-grade group prostate cancer. Prostate. 2024;84:1067–75. [DOI] [PubMed] [Google Scholar]
  • 129.Vermassen T, Van Praet C, Lumen N, Decaestecker K, Vanderschaeghe D, Callewaert N, et al. Urinary prostate protein glycosylation profiling as a diagnostic biomarker for prostate cancer. prostate. 2015;75:314–22. [DOI] [PubMed] [Google Scholar]
  • 130.Khan M, Islam MK, Taimen P, Boström PJ, Lamminmäki U, Leivo J. Aberrantly glycosylated PSMA in urine as a potential marker for prostate cancer. Clin Chim Acta. 2025;582:120790. [DOI] [PubMed] [Google Scholar]
  • 131.Nielsen MI, de Haan N, Kightlinger W, Ye Z, Dabelsteen S, Li M. Global mapping of GalNAc-T isoform-specificities and O-glycosylation site-occupancy in a tissue-forming human cell line. Nat Commun. 2022;13:6257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Helms A, Brodbelt JS. Mass spectrometry strategies for O-glycoproteomics. Cells. 2024;13:394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.He K, Baniasad M, Kwon H, Caval T, Xu G, Lebrilla C. Decoding the glycoproteome: a new frontier for biomarker discovery in cancer. J Hematol Oncol. 2024;17:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Kawahara R, Recuero S, Srougi M, Leite KRM, Thaysen-Andersen M, Palmisano G. The complexity and dynamics of the tissue glycoproteome associated with prostate cancer progression. Mol Cell Proteom. 2021;20:100026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Okamoto T, Yoneyama MS, Hatakeyama S, Mori K, Yamamoto H, Koie T, et al. Core2 O-glycan-expressing prostate cancer cells are resistant to NK cell immunity. Mol Med Rep. 2013;7:359–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Brockhausen I. Pathways of O-glycan biosynthesis in cancer cells. Biochim Biophys Acta. 1999;1473:67–95. [DOI] [PubMed] [Google Scholar]
  • 137.Scott E, Hodgson K, Calle B, Turner H, Cheung K, Bermudez A, et al. Upregulation of GALNT7 in prostate cancer modifies O-glycosylation and promotes tumour growth. Oncogene. 2023;42:926–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Munkley J. The role of Sialyl-Tn in cancer. Int J Mol Sci. 2016;17:275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Li Q, Anver MR, Butcher DO, Gildersleeve JC. Resolving conflicting data on expression of the Tn antigen and implications for clinical trials with cancer vaccines. Mol Cancer Ther. 2009;8:971–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Du T, Dong X, Tan J, Chen X, Liu J, Wen T, et al. Targeting Tn antigen suppresses aberrant O-glycosylation-elicited metastasis in breast cancer. J Cell Mol Med. 2024;28:e70279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.da Costa V, van Vliet SJ, Carasi P, Frigerio S, García PA, Croci DO, et al. The Tn antigen promotes lung tumor growth by fostering immunosuppression and angiogenesis via interaction with Macrophage Galactose-type lectin 2 (MGL2). Cancer Lett. 2021;518:72–81. [DOI] [PubMed] [Google Scholar]
  • 142.Julien S, Videira PA, Delannoy P. Sialyl-tn in cancer: (how) did we miss the target? Biomolecules. 2012;2:435–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Lourenço RA, Barreira DF, Lopes C, Granjo P, Rodrigues AS, Silva Z, et al. Sialyl-Tn expression correlates with reduced c-Myc and immune modulation in triple-negative breast cancer. Sci Rep. 2025;15:37615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Pinho S, Marcos NT, Ferreira B, Carvalho AS, Oliveira MJ, Santos-Silva F, et al. Biological significance of cancer-associated sialyl-Tn antigen: modulation of malignant phenotype in gastric carcinoma cells. Cancer Lett. 2007;249:157–70. [DOI] [PubMed] [Google Scholar]
  • 145.Abrantes R, Forcados C, Warren DJ, Santos-Ferreira L, Fleten KG, Senra E, et al. Pan-carcinoma sialyl-Tn-targeting expands CAR therapy to solid tumors. Cell Rep Med. 2025;6:102350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Sewell R, Bäckström M, Dalziel M, Gschmeissner S, Karlsson H, Noll T, et al. The ST6GalNAc-I sialyltransferase localizes throughout the Golgi and is responsible for the synthesis of the tumor-associated sialyl-Tn O-glycan in human breast cancer. J Biol Chem. 2006;281:3586–94. [DOI] [PubMed] [Google Scholar]
  • 147.Marcos NT, Pinho S, Grandela C, Cruz A, Samyn-Petit B, Harduin-Lepers A, et al. Role of the human ST6GalNAc-I and ST6GalNAc-II in the synthesis of the cancer-associated sialyl-Tn antigen. Cancer Res. 2004;64:7050–7. [DOI] [PubMed] [Google Scholar]
  • 148.Ikehara Y, Kojima N, Kurosawa N, Kudo T, Kono M, Nishihara S, et al. Cloning and expression of a human gene encoding an N-acetylgalactosamine-alpha2,6-sialyltransferase (ST6GalNAc I): a candidate for synthesis of cancer-associated sialyl-Tn antigens. Glycobiology. 1999;9:1213–24. [DOI] [PubMed] [Google Scholar]
  • 149.Munkley J, Oltean S, Vodak D, Wilson BT, Livermore KE, Zhou Y, et al. The androgen receptor controls expression of the cancer-associated sTn antigen and cell adhesion through induction of ST6GalNAc1 in prostate cancer. Oncotarget. 2015;6:34358–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Genega EM, Hutchinson B, Reuter VE, Gaudin PB. Immunophenotype of high-grade prostatic adenocarcinoma and urothelial carcinoma. Mod Pathol. 2000;13:1186–91. [DOI] [PubMed] [Google Scholar]
  • 151.Myers RB, Meredith RF, Schlom J, LoBuglio AF, Bueschen AJ, Wheeler RH, et al. Tumor- associated glycoprotein-72 is highly expressed in prostatic adenocarcinomas. J Urol. 1994;152:243–6. [DOI] [PubMed] [Google Scholar]
  • 152.Yamamoto D, Hongo H, Kosaka T, Aoki N, Oya M, Sato T. The sialyl-Tn antigen synthase genes regulates migration-proliferation dichotomy in prostate cancer cells under hypoxia. Glycoconj J. 2023;40:199–212. [DOI] [PubMed] [Google Scholar]
  • 153.Zhao S, Fu C, Gong B, Wu H, Zhang R, Cai H, et al. Tumor-associated Tn and STn antigens: from molecular mechanism to precision diagnosis and treatment. Front Immunol. 2025;16:1660852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Takamiya R, Ohtsubo K, Takamatsu S, Taniguchi N, Angata T. The interaction between Siglec-15 and tumor-associated sialyl-Tn antigen enhances TGF-β secretion from monocytes/macrophages through the DAP12–Syk pathway. Glycobiology. 2012;23:178–87. [DOI] [PubMed] [Google Scholar]
  • 155.Peng Z, Hodgson K, Fisher M, Mei S, Orozco-Moreno M, Cao L, et al. Siglec-engaging immunosuppressive sialoglycans are upregulated in prostate cancer and are targetable to suppress bone metastasis. Preprint at 10.1101/2025.11.12.687981 2025.
  • 156.Wang J, Sun J, Liu LN, Flies DB, Nie X, Toki M, et al. Siglec-15 as an immune suppressor and potential target for normalization cancer immunotherapy. Nat Med. 2019;25:656–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Wang Y, Xu Z, Wu KL, Yu L, Wang C, Ding H, et al. Siglec-15/sialic acid axis as a central glyco-immune checkpoint in breast cancer bone metastasis. Proc Natl Acad Sci USA 2024;121:e2312929121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Chen Z, Gulzar ZG, St Hill CA, Walcheck B, Brooks JD. Increased expression of GCNT1 is associated with altered O-glycosylation of PSA, PAP, and MUC1 in human prostate cancer. Prostate. 2014;74:1059–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Kojima Y, Yoneyama T, Hatakeyama S, Mikami J, Sato T, Mori K, et al. Detection of core2 β-1,6-N-acetylglucosaminyltransferase in post-digital rectal examination urine is a reliable indicator for extracapsular extension of prostate cancer. PLoS One. 2015;10:e0138520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Hodgson K, Orozco-Moreno M, Scott E, Garnham R, Livermore K, Thomas H, et al. The role of GCNT1-mediated O-glycosylation in aggressive prostate cancer. Sci Rep. 2023;13:17031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Sato T, Yoneyama T, Tobisawa Y, Hatakeyama S, Yamamoto H, Kojima Y, et al. Core 2 β-1, 6-N-acetylglucosaminyltransferase-1 expression in prostate biopsy specimens is an indicator of prostate cancer aggressiveness. Biochem Biophys Res Commun. 2016;470:150–6. [DOI] [PubMed] [Google Scholar]
  • 162.Hagisawa S, Ohyama C, Takahashi T, Endoh M, Moriya T, Nakayama J, et al. Expression of core 2 beta1,6-N-acetylglucosaminyltransferase facilitates prostate cancer progression. Glycobiology. 2005;15:1016–24. [DOI] [PubMed] [Google Scholar]
  • 163.Julien S, Ivetic A, Grigoriadis A, QiZe D, Burford B, Sproviero D, et al. Selectin ligand sialyl-Lewis x antigen drives metastasis of hormone-dependent breast cancers. Cancer Res. 2011;71:7683–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Picco G, Julien S, Brockhausen I, Beatson R, Antonopoulos A, Haslam S, et al. Over-expression of ST3Gal-I promotes mammary tumorigenesis. Glycobiology. 2010;20:1241–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Burchell J, Poulsom R, Hanby A, Whitehouse C, Cooper L, Clausen H, et al. An alpha2,3 sialyltransferase (ST3Gal I) is elevated in primary breast carcinomas. Glycobiology. 1999;9:1307–11. [DOI] [PubMed] [Google Scholar]
  • 166.Tzeng SF, Tsai CH, Chao TK, Chou YC, Yang YC, Tsai MH. O-Glycosylation-mediated signaling circuit drives metastatic castration-resistant prostate cancer. FASEB J. 2018;15:fj201800687. [DOI] [PubMed] [Google Scholar]
  • 167.Valenzuela HF, Pace KE, Cabrera PV, White R, Porvari K, Kaija H, et al. O-glycosylation regulates LNCaP prostate cancer cell susceptibility to apoptosis induced by galectin-1. Cancer Res. 2007;67:6155–62. [DOI] [PubMed] [Google Scholar]
  • 168.Petrosyan A, Holzapfel MS, Muirhead DE, Cheng PW. Restoration of compact Golgi morphology in advanced prostate cancer enhances susceptibility to galectin-1-induced apoptosis by modifying mucin O-glycan synthesis. Mol Cancer Res. 2014;12:1704–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Rodriguez E, Boelaars K, Brown K, Eveline Li RJ, Kruijssen L, Bruijns SCM, et al. Sialic acids in pancreatic cancer cells drive tumour-associated macrophage differentiation via the Siglec receptors Siglec-7 and Siglec-9. Nat Commun. 2021;12:1270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Garnham R, Geh D, Nelson R, Ramon-Gil E, Wilson L, Schmidt EN, et al. ST3 beta-galactoside alpha-2,3-sialyltransferase 1 (ST3Gal1) synthesis of Siglec ligands mediates anti-tumour immunity in prostate cancer. Commun Biol. 2024;7:276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Pinho SS, Macauley MS, Läubli H. Tumor glyco-immunology, glyco-immune checkpoints and immunotherapy. J Immunother Cancer. 2025;13:e012391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Varki A. Since there are PAMPs and DAMPs, there must be SAMPs? Glycan ‘self-associated molecular patterns’ dampen innate immunity, but pathogens can mimic them. Glycobiology. 2011;21:1121–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Fernandes Â, Azevedo CM, Silva MC, Faria G, Dantas CS, Vicente MM, et al. Glycans as shapers of tumour microenvironment: a sweet driver of T-cell-mediated anti-tumour immune response. Immunology. 2023;168:217–32. [DOI] [PubMed] [Google Scholar]
  • 174.Pinho SS, Alves I, Gaifem J, Rabinovich GA. Immune regulatory networks coordinated by glycans and glycan-binding proteins in autoimmunity and infection. Cell Mol Immunol. 2023;20:1101–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Alves I, Fernandes Â, Santos-Pereira B, Azevedo CM, Pinho SS. Glycans as a key factor in self and nonself discrimination: impact on the breach of immune tolerance. FEBS Lett. 2022;596:1485–502. [DOI] [PubMed] [Google Scholar]
  • 176.van Kooyk Y, Rabinovich GA. Protein-glycan interactions in the control of innate and adaptive immune responses. Nat Immunol. 2008;9:593–601. [DOI] [PubMed] [Google Scholar]
  • 177.Stanczak MA, Läubli H. Siglec receptors as new immune checkpoints in cancer. Mol Asp Med. 2023;90:101112. [DOI] [PubMed] [Google Scholar]
  • 178.Angata T, Varki A. Discovery, classification, evolution and diversity of Siglecs. Mol Asp Med. 2023;90:101117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Lin SY, Schmidt EN, Takahashi-Yamashiro K, Macauley MS. Roles for Siglec-glycan interactions in regulating immune cells. Semin Immunol. 2025;77:101925. [DOI] [PubMed] [Google Scholar]
  • 180.Läubli H, Varki A. Sialic acid-binding immunoglobulin-like lectins (Siglecs) detect self-associated molecular patterns to regulate immune responses. Cell Mol Life Sci. 2020;77:593–605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Stanczak MA, Siddiqui SS, Trefny MP, Thommen DS, Boligan KF, von Gunten S, et al. Self-associated molecular patterns mediate cancer immune evasion by engaging Siglecs on T cells. J Clin Investig. 2018;128:4912–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Haas Q, Boligan KF, Jandus C, Schneider C, Simillion C, Stanczak MA, et al. Siglec-9 regulates an effector memory CD8(+) T-cell subset that congregates in the melanoma tumor microenvironment. Cancer Immunol Res. 2019;7:707–18. [DOI] [PubMed] [Google Scholar]
  • 183.Hudak JE, Canham SM, Bertozzi CR. Glycocalyx engineering reveals a Siglec-based mechanism for NK cell immunoevasion. Nat Chem Biol. 2014;10:69–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Wen RM, Stark JC, Marti GEW, Fan Z, Lyu A, Garcia Marques FJ. Sialylated glycoproteins suppress immune cell killing by binding to Siglec-7 and Siglec-9 in prostate cancer. J Clin Investig. 2024;134:e180282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Jandus C, Boligan KF, Chijioke O, Liu H, Dahlhaus M, Démoulins T, et al. Interactions between Siglec-7/9 receptors and ligands influence NK cell-dependent tumor immunosurveillance. J Clin Investig. 2014;124:1810–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Beatson R, Tajadura-Ortega V, Achkova D, Picco G, Tsourouktsoglou TD, Klausing S, et al. The mucin MUC1 modulates the tumor immunological microenvironment through engagement of the lectin Siglec-9. Nat Immunol. 2016;17:1273–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Zhang N, Liu Q, Wang D, Wang X, Pan Z, Han B, et al. Multifaceted roles of Galectins: from carbohydrate binding to targeted cancer therapy. Biomark Res. 2025;13:49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Ebrahim AH, Alalawi Z, Mirandola L, Rakhshanda R, Dahlbeck S, Nguyen D, et al. Galectins in cancer: carcinogenesis, diagnosis and therapy. Ann Transl Med. 2014;2:88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189.Liu FT, Rabinovich GA. Galectins as modulators of tumour progression. Nat Rev Cancer. 2005;5:29–41. [DOI] [PubMed] [Google Scholar]
  • 190.Liu FT, Stowell SR. The role of galectins in immunity and infection. Nat Rev Immunol. 2023;23:479–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Rubinstein N, Alvarez M, Zwirner NW, Toscano MA, Ilarregui JM, Bravo A, et al. Targeted inhibition of galectin-1 gene expression in tumor cells results in heightened T cell-mediated rejection; a potential mechanism of tumor-immune privilege. Cancer Cell. 2004;5:241–51. [DOI] [PubMed] [Google Scholar]
  • 192.Banh A, Zhang J, Cao H, Bouley DM, Kwok S, Kong C, et al. Tumor galectin-1 mediates tumor growth and metastasis through regulation of T-cell apoptosis. Cancer Res. 2011;71:4423–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Ilarregui JM, Croci DO, Bianco GA, Toscano MA, Salatino M, Vermeulen ME, et al. Tolerogenic signals delivered by dendritic cells to T cells through a galectin-1-driven immunoregulatory circuit involving interleukin 27 and interleukin 10. Nat Immunol. 2009;10:981–91. [DOI] [PubMed] [Google Scholar]
  • 194.Boelaars K, van Kooyk Y. Targeting myeloid cells for cancer immunotherapy: siglec-7/9/10/15 and their ligands. Trends Cancer. 2024;10:230–41. [DOI] [PubMed] [Google Scholar]
  • 195.Smith BAH, Bertozzi CR. The clinical impact of glycobiology: targeting selectins, siglecs and mammalian glycans. Nat Rev Drug Discov. 2021;20:217–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Ellis JR, Will E, Ogurtsova A, Engle LL, Taube JM, Sunshine JC. Siglec ligand immunohistochemistry reveals association with immune exclusion and survival. Lab Invest. 2025;105:104203. [DOI] [PubMed] [Google Scholar]
  • 197.Laderach DJ, Gentilini LD, Giribaldi L, Delgado VC, Nugnes L, Croci DO, et al. A unique galectin signature in human prostate cancer progression suggests galectin-1 as a key target for treatment of advanced disease. Cancer Res. 2013;73:86–96. [DOI] [PubMed] [Google Scholar]
  • 198.Shih TC, Liu R, Wu CT, Li X, Xiao W, Deng X, et al. Targeting galectin-1 impairs castration-resistant prostate cancer progression and invasion. Clin Cancer Res. 2018;24:4319–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Wang HC, Gao AC, Xia R, Wu CT, Hsu SW, Chen CH. Inhibition of galectin-1 and androgen receptor axis enhances enzalutamide treatment in enzalutamide-resistant prostate cancer. Cancers. 2025;17:351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Wang HC, Xia R, Chang WH, Hsu SW, Wu CT, Chen CH, et al. Improving cancer immunotherapy in prostate cancer by modulating T cell function through targeting galectin-1. Front Immunol. 2024;15:1372956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Huang Y, Wang HC, Zhao J, Wu MH, Shih TC. Immunosuppressive roles of galectin-1 in the tumor microenvironment. Biomolecules. 2021;11:1398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Knapp JS, Lokeshwar SD, Vogel U, Hennenlotter J, Schwentner C, Kramer MW, et al. Galectin-3 expression in prostate cancer and benign prostate tissues: correlation with biochemical recurrence. World J Urol. 2013;31:351–8. [DOI] [PubMed] [Google Scholar]
  • 203.Gao J, Li T, Mo Z, Hu Y, Yi Q, He R, et al. Overexpression of the galectin-3 during tumor progression in prostate cancer and its clinical implications. Int J Clin Exp Pathol. 2018;11:839–46. [PMC free article] [PubMed] [Google Scholar]
  • 204.Tiraboschi C, Gentilini L, Velázquez C, Corapi E, Jaworski FM, García García JD, et al. Combining inhibition of galectin-3 with and before a therapeutic vaccination is critical for the prostate-tumor-free outcome. J Immunother Cancer. 2020;8:e001535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Balan V, Wang Y, Nangia-Makker P, Kho D, Bajaj M, Smith D, et al. Galectin-3: a possible complementary marker to the PSA blood test. Oncotarget. 2013;4:542–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Iurisci I, Tinari N, Natoli C, Angelucci D, Cianchetti E, Iacobelli S. Concentrations of galectin-3 in the sera of normal controls and cancer patients. Clin Cancer Res. 2000;6:1389–93. [PubMed] [Google Scholar]
  • 207.Nakajima K, Kho DH, Yanagawa T, Harazono Y, Hogan V, Chen W, et al. Galectin-3 cleavage alters bone remodeling: different outcomes in breast and prostate cancer skeletal metastasis. Cancer Res. 2016;76:1391–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Nakajima K, Kho DH, Yanagawa T, Harazono Y, Gao X, Hogan V, et al. Galectin-3 inhibits osteoblast differentiation through notch signaling. Neoplasia. 2014;16:939–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Gentilini LD, Jaworski FM, Tiraboschi C, Pérez IG, Kotler ML, Chauchereau A, et al. Stable and high expression of Galectin-8 tightly controls metastatic progression of prostate cancer. Oncotarget. 2017;8:44654–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Tsai CH, Tzeng SF, Chao TK, Tsai CY, Yang YC, Lee MT, et al. Metastatic progression of prostate cancer is mediated by autonomous binding of galectin-4-O-glycan to cancer cells. Cancer Res. 2016;76:5756–67. [DOI] [PubMed] [Google Scholar]
  • 211.Mariño KV, Cagnoni AJ, Croci DO, Rabinovich GA. Targeting galectin-driven regulatory circuits in cancer and fibrosis. Nat Rev Drug Discov. 2023;22:295–316. [DOI] [PubMed] [Google Scholar]
  • 212.Girotti MR, Salatino M, Dalotto-Moreno T, Rabinovich GA. Sweetening the hallmarks of cancer: Galectins as multifunctional mediators of tumor progression. J Exp Med. 2020;217:e20182041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Akella NM, Ciraku L, Reginato MJ. Fueling the fire: emerging role of the hexosamine biosynthetic pathway in cancer. BMC Biol. 2019;17:52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Chiaradonna F, Ricciardiello F, Palorini R. The nutrient-sensing hexosamine biosynthetic pathway as the hub of cancer metabolic rewiring. Cells. 2018;7:53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Gu Y, Gao J, Han C, Zhang X, Liu H, Ma L, et al. O-GlcNAcylation is increased in prostate cancer tissues and enhances malignancy of prostate cancer cells. Mol Med Rep. 2014;10:897–904. [DOI] [PubMed] [Google Scholar]
  • 216.Kamigaito T, Okaneya T, Kawakubo M, Shimojo H, Nishizawa O, Nakayama J. Overexpression of O-GlcNAc by prostate cancer cells is significantly associated with poor prognosis of patients. Prostate Cancer Prostatic Dis. 2014;17:18–22. [DOI] [PubMed] [Google Scholar]
  • 217.Itkonen HM, Minner S, Guldvik IJ, Sandmann MJ, Tsourlakis MC, Berge V, et al. O-GlcNAc transferase integrates metabolic pathways to regulate the stability of c-MYC in human prostate cancer cells. Cancer Res. 2013;73:5277–87. [DOI] [PubMed] [Google Scholar]
  • 218.Itkonen HM, Engedal N, Babaie E, Luhr M, Guldvik IJ, Minner S, et al. UAP1 is overexpressed in prostate cancer and is protective against inhibitors of N-linked glycosylation. Oncogene. 2015;34:3744–50. [DOI] [PubMed] [Google Scholar]
  • 219.Kaushik AK, Shojaie A, Panzitt K, Sonavane R, Venghatakrishnan H, Manikkam M, et al. Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer. Nat Commun. 2016;7:11612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Pujana-Vaquerizo M, Bozal-Basterra L, Carracedo A. Metabolic adaptations in prostate cancer. Br J Cancer. 2024;131:1250–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Costa AF, Campos D, Reis CA, Gomes C. Targeting glycosylation: a new road for cancer drug discovery. Trends Cancer. 2020;6:757–66. [DOI] [PubMed] [Google Scholar]
  • 222.Okeley NM, Heiser RA, Zeng W, Hengel SM, Wall J, Haughney PC, et al. SGN-2FF: A small-molecule inhibitor of fucosylation modulates immune cell activity in preclinical models and demonstrates pharmacodynamic activity in early phase 1 analysis. Cancer Res. 2018;78:5551. [Google Scholar]
  • 223.Do KT, Chow LQM, Reckamp K, Sanborn RE, Burris H, Robert F, et al. First-in-human, first-in-class, phase I trial of the fucosylation inhibitor SGN-2FF in patients with advanced solid tumors. Oncologist. 2021;26:925–e1918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Rossing E, Pijnenborg JFA, Boltje TJ. Chemical tools to track and perturb the expression of sialic acid and fucose monosaccharides. Chem Commun. 2022;58:12139–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Pijnenborg JFA, Visser EA, Noga M, Rossing E, Veizaj R, Lefeber DJ, et al. Cellular fucosylation inhibitors based on fluorinated fucose-1-phosphates*. Chemistry. 2021;27:4022–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Pijnenborg JFA, Rossing E, Merx J, Noga MJ, Titulaer WHC, Eerden N, et al. Fluorinated rhamnosides inhibit cellular fucosylation. Nat Commun. 2021;12:7024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Büll C, Boltje TJ, van Dinther EA, Peters T, de Graaf AM, Leusen JH, et al. Targeted delivery of a sialic acid-blocking glycomimetic to cancer cells inhibits metastatic spread. ACS Nano. 2015;9:733–45. [DOI] [PubMed] [Google Scholar]
  • 228.Büll C, Boltje TJ, Balneger N, Weischer SM, Wassink M, van Gemst JJ, et al. Sialic acid blockade suppresses tumor growth by enhancing T-cell-mediated tumor immunity. Cancer Res. 2018;78:3574–88. [DOI] [PubMed] [Google Scholar]
  • 229.Munkley J. Aberrant sialylation in cancer: therapeutic opportunities. Cancers. 2022;14:4248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Heise T, Pijnenborg JFA, Büll C, van Hilten N, Kers-Rebel ED, Balneger N, et al. Potent metabolic sialylation inhibitors based on C-5-modified fluorinated sialic acids. J Med Chem. 2019;62:1014–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Moons SJ, Rossing E, Janssen M, Heise T, Büll C, Adema GJ, et al. Structure-activity relationship of metabolic sialic acid inhibitors and labeling reagents. ACS Chem Biol. 2022;17:590–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Magalhaes A, Duarte HO, Reis CA. Aberrant glycosylation in cancer: a novel molecular mechanism controlling metastasis. Cancer Cell. 2017;31:733–35. [DOI] [PubMed] [Google Scholar]
  • 233.Almahayni K, Spiekermann M, Fiore A, Yu G, Pedram K, Mockl L. Small molecule inhibitors of mammalian glycosylation. Matrix Biol. 2022;16:100108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Peng Z, Hodgson K, Orozco-Moreno M, Munkley J. Blocking glycan production by targeting GALNT7 for prostate cancer therapy. Expert Opin Ther Targets. 2026;30:87–92. [DOI] [PubMed] [Google Scholar]
  • 235.Song L, Linstedt AD. Inhibitor of ppGalNAc-T3-mediated O-glycosylation blocks cancer cell invasiveness and lowers FGF23 levels. Elife. 2017;6:e24051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Lv Y, Zhang Z, Wang M, Wang Y, Chen M, Jia J, et al. Discovery of novel FUT8 inhibitors with promising affinity and in vivo efficacy for colorectal cancer therapy. Bioorg Chem. 2024;149:107492. [DOI] [PubMed] [Google Scholar]
  • 237.Manabe Y, Takebe T, Kasahara S, Hizume K, Kabayama K, Kamada Y, et al. Development of a FUT8 inhibitor with cellular inhibitory properties. Angew Chem Int Ed Engl. 2024;63:e202414682. [DOI] [PubMed] [Google Scholar]
  • 238.Szabo R, Dobie C, Montgomery AP, Steele H, Yu H, Skropeta D. Synthesis of α-hydroxy-1,2,3-triazole-linked sialyltransferase inhibitors and evaluation of selectivity towards ST3GAL1, ST6GAL1 and ST8SIA2. ChemMedChem. 2024;19:e202400088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Sousa H, Ribeiro IAB, Falcão M, Barreira DF, Barbosa M, Sharma S, et al. Short mucin-type O-glycans in cancer: biomarker and therapeutic potential amid analytical barriers. Glycobiology. 2025;20:cwaf077. [DOI] [PubMed] [Google Scholar]
  • 240.Mereiter S, Balmana M, Campos D, Gomes J, Reis CA. Glycosylation in the era of cancer-targeted therapy: where are we heading? Cancer Cell. 2019;36:6–16. [DOI] [PubMed] [Google Scholar]
  • 241.Abrantes R, Lopes J, Lopes D, Gomes J, Melo SA, Reis CA. Sialyl-Tn glycan epitope as a target for pancreatic cancer therapies. Front Oncol. 2024;14:1466255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Griffiths A, Udomjarumanee P, Georgescu AS, Barri M, Zinovkin DA, Pranjol MZI. The immunomodulatory role of galectin-1 in the tumour microenvironment and strategies for therapeutic applications. Cancers. 2025;17:1888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Granger Joly de Boissel P, Nehmé R, Fortier M, Létourneau M, Guérin B, Dumulon-Perreault V, et al. Development and use of a galectin-1-specific nanobody for tumor imaging and elucidating the role of galectin‑1 in cancer. ACS Pharm Transl Sci. 2025;8:2564–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 244.Sindrewicz-Goral P, Li X, Wang W, Adegbite O, Pang Y, Gledhill T, et al. Targeting galectin-3 in cancer by novel and unique inhibitors of non-carbohydrate origin. Mol Med. 2025;31:299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Stanczak MA, Rodrigues Mantuano N, Kirchhammer N, Sanin DE, Jacob F, Coelho R, et al. Targeting cancer glycosylation repolarizes tumor-associated macrophages, allowing effective immune checkpoint blockade. Sci Transl Med. 2022;14:eabj1270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Novysedlak R, Guney M, Al Khouri M, Bartolini R, Koumbas Foley L, Benesova I, et al. The immune microenvironment in prostate cancer: a comprehensive review. Oncology. 2025;103:521–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Xue J, Liao K, Zhang M. Tumor-immune spatiotemporal co-evolution as a paradigm for overcoming therapy resistance in advanced prostate cancer. Front Immunol. 2026;17:1797299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Mutuku SM, Spotbeen X, Trim PJ, Snel MF, Butler LM, Swinnen JV. Unravelling prostate cancer heterogeneity using spatial approaches to lipidomics and transcriptomics. Cancers. 2022;14:1702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Truong JXM, Rao SR, Ryan FJ, Lynn DJ, Snel MF, Butler LM, et al. Spatial MS multiomics on clinical prostate cancer tissues. Anal Bioanal Chem. 2024;416:1745–57. [DOI] [PubMed] [Google Scholar]
  • 250.Piyadasa H, Oberlton B, Ribi M, Leow K, Ranek JS, Averbukh I, et al. Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence. Cancer Cell. 2026;44:112–28.e116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Kapp KL, Garcia-Marques F, Totten SM, Bermudez A, Tanimoto C, Brooks JD. Intact glycopeptide analysis of human prostate tissue reveals site-specific heterogeneity of protein glycosylation in prostate cancer. Glycobiology. 2025;35:cwaf010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Malaker SA. Glycoproteomics: charting new territory in mass spectrometry and glycobiology. J Mass Spectrom. 2024;59:e5034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Kothlow K, Schramm HM, Markuson KA, Russell JH, Sutherland E, Veth TS, et al. Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with glycounter. Mol Cell Proteom. 2025;24:101085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Potel CM, Burtscher ML, Garrido-Rodriguez M, Brauer-Nikonow A, Becher I, Le Sueur C, et al. Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco). Nat Struct Mol Biol. 2025;32:1111–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 255.Hogan RA, Pepi LE, Riley NM, Chalkley RJ. Comparative analysis of glycoproteomic software using a tailored glycan database. Anal Bioanal Chem. 2025;417:1985–2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Malaker SA, Riley NM, Shon DJ, Pedram K, Krishnan V, Dorigo O, et al. Revealing the human mucinome. Nat Commun. 2022;13:3542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Pedram K, Shon DJ, Tender GS, Mantuano NR, Northey JJ, Metcalf KJ, et al. Design of a mucin-selective protease for targeted degradation of cancer-associated mucins. Nat Biotechnol. 2024;42:597–607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Flynn RA, Pedram K, Malaker SA, Batista PJ, Smith BAH, Johnson AG, et al. Small RNAs are modified with N-glycans and displayed on the surface of living cells. Cell. 2021;184:3109–24.e3122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.Xie Y, Chai P, Till NA, Hemberger H, Lebedenko CG, Porat J, et al. The modified RNA base acp(3)U is an attachment site for N-glycans in glycoRNA. Cell. 2024;187:5228–37.e5212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Li J, Wang L, Deng J, Miao X, Yang X, Zhou Y, et al. O-Glycosylated RNA identification and prediction by solid-phase chemoenzymatic TnORNA method and PONglyRNA tool. Anal Chem. 2025;97:16906–915. [DOI] [PubMed] [Google Scholar]
  • 261.Zhang N, Tang W, Torres L, Wang X, Ajaj Y, Zhu L, et al. Cell surface RNAs control neutrophil recruitment. Cell. 2024;187:846–60.e817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Chai P, Kheiri S, Kuo A, Shah J, Kageler L, Ge R, et al. GlycoRNA complexed with heparan sulfate regulates VEGF-A signalling. Nature. 2026;651:808–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Jones E, McGuire S, Moen S, Kerscher AE. Abstract 2797: N-linked and O-linked glycosylated RNA enrichment in human prostate cell lines with low/no malignancy. Cancer Res. 2025;85:2797–97. [Google Scholar]
  • 264.McGuire S, Jones E, Moen S, Esquela-Kerscher A. Abstract 2984: prostate cancer associated glycosylated RNAs: who are you and where are you hiding. Cancer Res. 2024;84:2984. [Google Scholar]

Articles from Oncogene are provided here courtesy of Nature Publishing Group

RESOURCES