| Literature DB >> 32308758 |
Elisabete Fernandes1,2,3,4,5,6, Janine Sores1,2,6,7, Sofia Cotton1,2,6, Andreia Peixoto1,2,3,4,6, Dylan Ferreira1,5,6, Rui Freitas1,6,7, Celso A Reis2,3,6,8,9, Lúcio Lara Santos1,2,5,6,10, José Alexandre Ferreira1,2,6.
Abstract
Esophageal (OC), gastric (GC) and colorectal (CRC) cancers are amongst the digestive track tumors with higher incidence and mortality due to significant molecular heterogeneity. This constitutes a major challenge for patients' management at different levels, including non-invasive detection of the disease, prognostication, therapy selection, patient's follow-up and the introduction of improved and safer therapeutics. Nevertheless, important milestones have been accomplished pursuing the goal of molecular-based precision oncology. Over the past five years, high-throughput technologies have been used to interrogate tumors of distinct clinicopathological natures, generating large-scale biological datasets (e.g. genomics, transcriptomics, and proteomics). As a result, GC and CRC molecular subtypes have been established to assist patient stratification in the clinical settings. However, such molecular panels still require refinement and are yet to provide targetable biomarkers. In parallel, outstanding advances have been made regarding targeted therapeutics and immunotherapy, paving the way for improved patient care; nevertheless, important milestones towards treatment personalization and reduced off-target effects are also to be accomplished. Exploiting the cancer glycoproteome for unique molecular fingerprints generated by dramatic alterations in protein glycosylation may provide the necessary molecular rationale towards this end. Therefore, this review presents functional and clinical evidences supporting a reinvestigation of classical serological glycan biomarkers such as sialyl-Tn (STn) and sialyl-Lewis A (SLeA) antigens from a tumor glycoproteomics perspective. We anticipate that these glycobiomarkers that have so far been employed in non-invasive cancer prognostication may hold unexplored value for patients' management in precision oncology settings. © The author(s).Entities:
Keywords: digestive tract cancer; glycobiomarkers; glycomics; glycoproteomics; glycosylation; precision oncology
Mesh:
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Year: 2020 PMID: 32308758 PMCID: PMC7163443 DOI: 10.7150/thno.42480
Source DB: PubMed Journal: Theranostics ISSN: 1838-7640 Impact factor: 11.556
Correlation between SLeA and STn tissue expression and clinicopathologic variables of gastroesophageal and colorectal tumors.
| Tumor Type | Antigen/ Antibody | N | Outcome | Ref |
|---|---|---|---|---|
| SLeA /NS19-9 | 54 | - | ||
| SLeA /CA19.9 | 74 | Tumor differentiation (P < 0.05) | ||
| SLeA /Anti-SLeA | 125 | Hematogenous recurrence (p=0.026) Distant lymph node metastasis | ||
| STn/ B72.3 | 84 | - | ||
| SLeA /CA19.9 | 115 | Stromal type of staining: Depth of invasion Tumor size | ||
| SLeA /CA19.9 | 52 | Stromal type of staining: Peritoneal dissemination (P < 0.05) | ||
| STn/ B72.3 and TKH2 | 52 | Stromal type of staining: Peritoneal dissemination in undifferentiated tumors (P < 0.05) | ||
| STn/ C 1282 | 242 | Overall survival of stage I patients (P= 0.002) | ||
| STn/ HB-STn1 | 211 | Venous invasion (P < 0.05) | ||
| STn/ TKH2 | 60 | Depth of invasion (P< 0.01) | ||
| STn/ TKH2 | 54 | - | ||
| SLeA/CSLEA1 | 62 | - | ||
| SLeA /NS19-9 | 309 | Lymph node metastasis (P < 0.005) | ||
| SLeA /CA19.9 | 52 | - | ||
| Unspecified | 149 | Histological type (P< 0.05) | ||
| SLeA /NS19-9 | 52 | 5-year survival (P< 0.05) | ||
| SLeA /NS19-9 | 368 | 5-year disease-free survival (P=0.012) | ||
| STn/ TKH2 | 52 | - | ||
| STn/ TKH2 | 142 | Depth of invasion | ||
| STn/ HB-STn1 | 152 | TNM classification (P=0.025) | ||
| STn/ B72.3 | 234 | Histological differentiation (P=0.006) Perineural invasion (P=0.041) | ||
| STn/ C 1282 | 239 | Age (P=0.024) | ||
| STn/ TKH2 | 111 | - |
-No correlation to clinicopathological variables was found