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Cancer remains a leading cause of death worldwide due to the lack of safer and more effective therapies. Cancer vaccines developed from neoantigens are an emerging strategy to promote protective and therapeutic anti-cancer immune responses. Advances in glycomics and glycoproteomics have unveiled several cancer-specific glycosignatures, holding tremendous potential to foster effective cancer glycovaccines. However, the immunosuppressive nature of tumours poses a major obstacle to vaccine-based immunotherapy. Chemical modification of tumour associated glycans, conjugation with immunogenic carriers and administration in combination with potent immune adjuvants constitute emerging strategies to address this bottleneck. Moreover, novel vaccine vehicles have been optimized to enhance immune responses against otherwise poorly immunogenic cancer epitopes. Nanovehicles have shown increased affinity for antigen presenting cells (APCs) in lymph nodes and tumours, while reducing treatment toxicity. Designs exploiting glycans recognized by APCs have further enhanced the delivery of antigenic payloads, improving glycovaccine's capacity to elicit innate and acquired immune responses. These solutions show potential to reduce tumour burden, while generating immunological memory. Building on this rationale, we provide a comprehensive overview on emerging cancer glycovaccines, emphasizing the potential of nanotechnology in this context. A roadmap towards clinical implementation is also delivered foreseeing advances in glycan-based immunomodulatory cancer medicine. [Display omitted] • Glycans can be explored in anti-cancer vaccines and/or to target APCs. • Glycans conjugation to immunogens is required for effective immune responses. • Glycovaccine co-administration with immune adjuvants is required for anti-cancer efficacy. • Glycoengineering set foregrounds for glycovaccines but clinical translation is still needed. • A roadmap towards glycovaccines' clinical implementation is provided. [ABSTRACT FROM AUTHOR]

Bladder Cancer (BC) presents one of the highest recurrence rates amongst solid tumours and constitutes the second deadliest disease of the genitourinary track. Non-invasive identification of patients facing disease recurrence and/or progression remains one of the most critical and challenging aspects in disease management. To contribute to this goal, we demonstrate the potential of glycan-affinity glycoproteomics nanoplatforms for urinary biomarkers discovery in bladder cancer. Briefly, magnetic nanoprobes (MNP) coated with three broad-spectrum lectins, namely Concanavalin A (ConA; MNP@ConA), Wheat Germ Agglutinin (WGA; MNP@WGA), and Sambucus nigra (SNA; MNP@SNA), were used to selectively capture glycoproteins from the urine of low-grade and high-grade non-muscle invasive as well as muscle-invasive BC patients. Proteins were identified by nano-LC MALDI-TOF/TOF and data was curated using bioinformatics tools (UniProt, NetOGlyc, NetNGlyc, ClueGO app for Cytoscape and Oncomine) to highlight clinically relevant species. Accordingly, 63 glycoproteins were exclusively identified in cancer samples compared with healthy controls matching in age and gender. Specific glycoprotein sets exclusively found in low-grade non-muscle invasive bladder tumours may aid early diagnosis, while those only found in high-grade non-invasive and muscle-invasive tumours hold potential for accessing progression. Amongst these proteins is bladder cancer stem-cell marker CD44, which has been associated with poor prognosis. Orthogonal validation studies by slot-blotting demonstrated an elevation in urine CD44 levels of high-grade patients, which became more pronounced upon muscle-invasion, in mimicry of the primary tumour. These observations demonstrate the potential of MNP@lectins for identification of clinically relevant glycoproteomics signatures in bladder cancer. Future clinical validation in a larger and well characterized patient subset is required envisaging clinical translation of the results. [ABSTRACT FROM AUTHOR]

Glycosylation is one of the most common and dynamic post-translational modification of cell surface and secreted proteins. Cancer cells display unique glycosylation patterns that decisively contribute to drive oncogenic behavior, including disease progression and dissemination. Moreover, alterations in glycosylation are often responsible for the creation of protein signatures holding significant biomarker value and potential for targeted therapeutics. Accordingly, many analytical protocols have been outlined for the identification of abnormally glycosylated proteins by mass spectrometry. Nevertheless, very few studies undergo a comprehensive mining of the generated data. Herein, we build on bladder cancer O -glycoproteomics datasets resulting from a hyphenated technique comprising enrichment by Vicia villosa agglutinin (VVA) lectin and nanoLC-ESI-MS/MS to propose an in silico step-by-step tutorial (Panther, UniProtKB, NetOGlyc, NetNGlyc, Oncomine, Cytoscape) for biomarker discovery in cancer. We envisage that this approach may be generalized to other mass spectrometry-based analytical approaches, including N -glycoproteomics studies, and different types of cancers. Significance The glycoproteome is an important source of cancer biomarkers holding tremendous potential for targeted therapeutics. We now present an in silico roadmap for comprehensive interpretation of big data generated by mass spectrometry-based glycoproteomics envisaging the identification of clinically relevant glycobiomarkers. [ABSTRACT FROM AUTHOR]

Glycosylation is the most frequent and structurally complex posttranslational modification in cell-surface and secreted proteins. Glycans are major orchestrators of biological processes, namely, by controlling protein folding and key biological functions such as cell adhesion, migration, signaling and immune recognition. Altered glycosylation is considered a hallmark of malignant transformations that decisively contributes to disease outcome. This review comprehensively summarizes the main findings related with gastrointestinal cancers and the decisive impact of aberrant glycosylation on tumor biology toward more aggressive phenotypes. Particular emphasis is given to alterations in O-glycosylation, namely, the overexpression of immature O-glycans, and the sialylated Lewis antigens sialyl-LeA and sialyl-LeX, frequently implicated in lymphohematogenous metastasis. We further discuss how recent contributions from glycoproteomics and glycoengineering fields have broadened our understanding of the human O-glycoproteome and its implications for cancer research. Finally, we address the tremendous potential of glycans in the context of targeted therapeutics (selective inhibition of glycosylation pathways, immunotherapy) and discuss the need to include glycomics/glycoproteomics in holistic panomics models toward true precision medicine settings. [ABSTRACT FROM AUTHOR]

CD44 is a heavily glycosylated membrane receptor playing a key role in cell adhesion, signal transduction and cytoskeleton remodelling. It is also one of the most studied glycoproteins in cancer, frequently explored for stem cell identification, and associated with chemoresistance and metastasis. However, CD44 is a general designation for a large family of splicing variants exhibiting different degrees of glycosylation and, potentially, functionally distinct roles. Moreover, structural diversity associated with ambiguous nomenclature has delayed clinical developments. Herein, we attempt to comprehensively address these aspects and systematize CD44 nomenclature, setting milestones for biomarker discovery. In addition, we support that CD44 may be an important source of cancer neoantigens, most likely resulting from altered splicing and/or glycosylation. The discovery of potentially targetable CD44 (glyco)isoforms will require the combination of glycomics with proteogenomics approaches, exploring customized protein sequence databases generated using genomics and transcriptomics. Nevertheless, the necessary high-throughput analytical and bioinformatics tools are now available to address CD44 role in health and disease. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the potential of sialyl-Tn (STn), a cancer-associated glycan antigen present in membrane glycoproteins, to improve a recent molecular model for stratification and prognostication of advanced stage bladder tumors based on keratins (KRT14, 5, and 20) expression. In addition, determine the association between STn and disease dissemination based on the evaluation of circulating tumor cells (CTCs) and the metastasis, which is a critical matter to improve patient management.Patients and Methods: A retrospective series of 80 muscle-invasive primary bladder tumors and associated metastasis were screened for KRT14, 5, and 20 and STn by real-time polymerase chain reaction and immunohistochemistry. Peripheral blood was collected in a patients' subset, CTCs were isolated through a size-based microfluidic chip and screened for KRTs and STn.Results: Basal-like lesions presented worse cancer-specific and disease-free survival compared to luminal tumors. STn antigen inclusion discriminated patients with worst survival in each subgroup (P = 0.047 for luminal; P = 0.027 for basal-like tumors). STn expression in CTCs and distant metastasis was also demonstrated.Conclusion: This work reinforces the potential of the KRT-based model for bladder cancer management and the association of STn with aggressiveness, supporting its inclusion in predictive molecular models toward patient-tailored precision medicine. Moreover, we describe for the first time that CTCs and the metastasis present a basal phenotype and express the STn antigen, highlighting its link with disease dissemination. Future studies should focus on determining the biological and clinical significance of these observations in the context of liquid biopsies. Given the membrane nature of STn, highly specific targeted therapeutics may also be envisaged. [ABSTRACT FROM AUTHOR]