| Literature DB >> 34769037 |
Abstract
Over the past decades, a large amount of data has been accumulated in various subfields of glycobiology. However, much clinically relevant data and many tools are still not widely used in medicine. Synthetic glycoconjugates with the known structure of glycans are an accurate tool for the study of glycan-binding proteins. We used polyacrylamide glycoconjugates (PGs) including PGs with tumour-associated glycans (TAGs) in immunoassays to assess the prognostic potential of the serum level of anti-glycan antibodies (AG Abs) in gastrointestinal cancer patients and found an association of AG Abs with survival. The specificity of affinity-isolated AG Abs was investigated using synthetic and natural glycoconjugates. AG Abs showed mainly a low specificity to tumour-associated and tumour-derived mucins; therefore, the protective role of the examined circulating AG Abs against cancer remains a challenge. In this review, our findings are analysed and discussed in the context of the contribution of bacteria to the AG Abs stimulus and cancer progression. Examples of the influence of pathogenic bacteria colonising tumours on cancer progression and patient survival through mechanisms of interaction with tumours and dysregulated immune response are considered. The possibilities and problems of the integrative study of AG Abs and the microbiome using high-performance technologies are discussed.Entities:
Keywords: antibodies; cancer; glycoconjugates; prognosis; survival; tumour microbiota
Mesh:
Substances:
Year: 2021 PMID: 34769037 PMCID: PMC8584091 DOI: 10.3390/ijms222111608
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Twofold or more changes of the AG Abs level in the monitoring of gastrointestinal cancer patients (presented for the first time).
| AG IgGs | Total | Increase ≥ 2, | Decrease ≥ 2, | Change in % |
|---|---|---|---|---|
| TF (Galβ1-3GalNAcα) | 109 | 8 | 3 | 10 |
| Tn (GalNAcα) | 109 | 8 | 7 | 14 |
| αGal (Galα1-3Galβ) | 109 | 12 | 18 | 28 |
| GalNAcβ | 85 | 1 | 1 | 2 |
| PFdi (GalNAcβ1-3GalNAcβ) | 85 | 7 | 8 | 14 |
Figure 1The relation of the preoperative AG Abs level to the survival rate of patients with gastrointestinal cancer. Solid line: level of serum AG Abs above or equal to the median; dashed line: the level below the median. (A,C) all patients; (B) patients with well and moderately differentiated G1-2 tumours; (D) patients with T2-4 size of the primary tumours. (E) the probability of survival assessed by two parameters: patients with increased anti-TF and decreased anti-αGal Abs level (solid line) vs. patients with decreased anti-TF and increased anti-αGal Abs level (dashed line). HR: hazard ratio. Adapted from [20,21]. (Under Creative Commons Act License).
Figure 2Conceptual scheme of integrative and clinically relevant studies of AG Abs and microbiome in cancer. Patient stratification by tumour localisation and histology, genomic mutations (tissue and liquid biopsies), and response to treatment (chemo/radiotherapy, immunotherapy, and targeted therapy). Monitoring by tumour markers (CEA, CA 19-9, CA 72-4, M2-PK), liquid biopsy, and commonly used clinical parameters. Survival: overall and cancer-specific survival. Samples: serum, plasma, and saliva for the AG Abs profiling; tumour tissues, saliva, and faeces for the microbiome profiling; tumour tissue and blood to assess the immune response. AG Abs profiling: using the glycan microarrays, differentiation of auto-AG Abs and Abs against microbiota. AG Abs specificity and avidity: affinity chromatography, surface plasmon resonance, modified and competitive ELISA. Microbiota profiling by 16S rRNA gene amplicon analyses and PCR. Tumour-associated microbiota: the recognition of beneficial species and pathogens. Immune response: the association with survival of the local immune response (tumour-infiltrating lymphocytes, macrophages, and neutrophils) and systemic response (a count and ratio of immune cells).