| Literature DB >> 36104770 |
Qingsong Lu1,2,3,4,5,6, Xiaozhen Zhang1,2,3,4,5,6, Tingbo Liang7,8,9,10,11,12, Xueli Bai13,14,15,16,17,18.
Abstract
O-linked β-D-N-acetylglucosamine (O-GlcNAc) is an important post-translational modification of serine or threonine residues on thousands of proteins in the nucleus and cytoplasm of all animals and plants. In eukaryotes, only two conserved enzymes are involved in this process. O-GlcNAc transferase is responsible for adding O-GlcNAc to proteins, while O-GlcNAcase is responsible for removing it. Aberrant O-GlcNAcylation is associated with a variety of human diseases, such as diabetes, cancer, neurodegenerative diseases, and cardiovascular diseases. Numerous studies have confirmed that O-GlcNAcylation is involved in the occurrence and progression of cancers in multiple systems throughout the body. It is also involved in regulating multiple cancer hallmarks, such as metabolic reprogramming, proliferation, invasion, metastasis, and angiogenesis. In this review, we first describe the process of O-GlcNAcylation and the structure and function of O-GlcNAc cycling enzymes. In addition, we detail the occurrence of O-GlcNAc in various cancers and the role it plays. Finally, we discuss the potential of O-GlcNAc as a promising biomarker and novel therapeutic target for cancer diagnosis, treatment, and prognosis.Entities:
Keywords: Biomarker; Cancer therapy; O-GlcNAc; OGA; OGT; Post-translational modification
Mesh:
Substances:
Year: 2022 PMID: 36104770 PMCID: PMC9476278 DOI: 10.1186/s10020-022-00544-y
Source DB: PubMed Journal: Mol Med ISSN: 1076-1551 Impact factor: 6.376
Fig. 1The process of hexosamine biosynthetic pathway (HBP) and O-GlcNAcylation. HBP integrates multiple metabolic pathways and the end product UDP-GlcNAc acts as a sugar donor for protein O-GlcNAcylation. HK hexokinase, GPI glucose-6-phosphate isomerase, GFAT glutamine:fructose-6-phosphate amidotransferase, GNAT glucosamine 6-phosphate N-acetyltransferase, PGM phosphoglucomutase, UAP UDP-N-acetylglucosamine pyrophosphorylase, TCA tricarboxylic acid cycle, OXPHOS oxidative phosphorylation
Fig. 2Schematic diagram of the gene and protein structure of O-GlcNAc modifying enzymes. Human OGT is composed of three regions and three splice forms are known. An N-terminal domain is formed from a series of TPRs and a C-terminal domain contains the glycosyltransferase catalytic domain. A Schematic of the genomic structure of the human OGT splice variants. B The linear domain organization is shown for the three OGT isoforms with the amino acids marking the boundary of each domain indicated. The TPRs are shown in light gray, the nuclear localization sequence (NLS) is in yellow, and the glycosyltransferase catalytic regions are in light blue (Cat-1and Cat-2). C The linear domain organization is shown for the two OGA isoforms with the amino acids marking the boundary of each domain indicated. The Catalytic GH84 is shown in orange, the pseudo-HAT is shown in yellow
Fig. 3Expression profile analyses of O-GlcNAc modifying enzymes across multiple cancers and normal tissues. Expression pattern of OGT (A) and OGA (B) in ACC, BLCA, BRCA, CESC, CHOL, COAD, DLBC, ESCA, GBM, HNSC, KICH, KIRC, KIRP, LAML, LGG, LIHC, LUAD, LUSC, OV, PAAD, PCPG, PRAD, READ, SARC, SKCM, STAD, TGCT, THCA, THYM, UCEC, and UCS. TIMER2.0 was used to generate box plots profiling O-GlcNAc modifying enzymes expression patterns across multiple cancer types (TCGA tumor) and adjacent normal tissue samples (TCGA normal). Each dot represents the individual expression of a distinct tumor or normal sample. The statistical significance computed by the Wilcoxon test is annotated by the number of stars (*p-value < 0.05; **p-value < 0.01; ***p-value < 0.001). As displayed in gray columns when normal data is available
Fig. 4Association analyses between O-GlcNAc modifying enzymes and clinical features across multiple cancers. A Association between OGT expression and grade across human cancers. B Association between OGT expression and stage across human cancers. C Association between OGA expression and grade across human cancers. D Association between OGA expression and stage across human cancers. TISIDB was used to generate associations between the expression of OGT and OGA and pathological distribution across multiple cancers (TCGA tumor). Spearman test was used to calculate the associations, and a p-value < 0.05 was considered statistically significant
Fig. 5Correlation between OGT and OGA expression and survival prognosis of cancers in TCGA. We used the GEPIA2 tool to perform overall survival analyses of different tumors in TCGA by OGT (A) and OGA (B) expression. The survival map and Kaplan–Meier curves with positive results are given
The overlapping sites of O-GlcANc and cancer mutation
| Gene | Mutation proportion (%) | Protein | Uniprot ID | Cancer Type | Overlapping site | Protein Change | Annotation | |
|---|---|---|---|---|---|---|---|---|
| 37 | P53 | P04637 | S149 | Serous Ovarian Cancer | S149 | The TP53 S149Ffs*32 mutation is likely oncogenic | ||
| Prostate Adenocarcinoma | S149 | The TP53 S149Pfs*21 mutation is likely oncogenic | ||||||
| Pancreatic Adenocarcinoma | S149 | The TP53 S149Ffs*32 mutation is likely oncogenic | ||||||
| 30 | TITIN | Q8WZ42 | T671, T826, S1571, T3501, S4651, T4659, S7613, S10385, S10781, T12007, T14674, S28157, S28450, S33976 | Uterine Endometrioid Carcinoma | T671 | Unknown | ||
| Uterine Endometrioid Carcinoma | S1571 | Unknown | ||||||
| Cutaneous Melanoma | S1571 | Unknown | ||||||
| 19.3 | MUC16 | Q8WXI7 | S12117, S13054, T13833 | Uterine Endometrioid Carcinoma | S12117 | Unknown | ||
| Renal Clear Cell Carcinoma | S13054 | Unknown | ||||||
| Renal Clear Cell Carcinoma | S13054 | Unknown | ||||||
| 14.1 | PK3CA | P42336 | no data | |||||
| 13.3 | CSMD3 | Q7Z407 | no data | |||||
| 13.2 | RYR2 | Q92736 | T1468 | No overlapping sites | ||||
| 12.7 | LRP1B | Q9NZR2 | no data | |||||
| 12.2 | SYNE1 | Q8NF91 | S1286, T1951, S3382, T4836, T7270 | Serous Ovarian Cancer | T1951 | Unknown | ||
| Cutaneous Melanoma | S3382 | Unknown | ||||||
| 11.4 | FILA | P20930 | na | |||||
| 11.2 | USH2A | O75445 | na |
no data: could not find human protein in O-GlcNAc database, na: no O-GlcNAc site reported
O-GlcNAc expression and roles in various cancers
| Cancer type | Research object | OGT | OGA | Major findings | Clinical | References | |
|---|---|---|---|---|---|---|---|
| Cervical cancer | HPV-related cervical tumors and human cervical cancer cell lines | Elevated | Elevated | no significant change | Elevated OGT activated the transcription of HPV E6/E7 and thus enhancing the oncogenic activity of HPV | Zeng et al. ( | |
| The human cervical cancer cell lines | Elevated | Elevated | Na | Elevated OGT not only increased the expression of E6/E7 oncoproteins but also promoted HCF-1-mediated transcriptional activity of the E6/E7 promoter | Xu et al. ( | ||
| The human cervical cell lines | Elevated | Elevated | Na | Ali et al. ( | |||
| Breast cancer | Primary breast malignant tumors | Elevated | Elevated | Na | Reduction of | Champattanachai et al. ( | |
| Breast cancer cell lines | Elevated | Elevated | Na | Gu et al. ( | |||
| Breast cancer cell lines | Elevated | Elevated | Na | Elevated | Caldwell et al. ( | ||
| Breast cancer cell lines | Elevated | Elevated | Na | Nutrient sensing pathway HBP connected with the SIRT1 deacetylase via | Ferrer et al. ( | ||
| Breast cancer stem cells | Elevated | Elevated | Na | OGT played a key role in the regulation of breast CSCs in vitro and tumor initiation in vivo | Akella et al. ( | ||
| HR + /HER2- luminal breast cancer patient samples | Elevated | Na | Na | Hyper- | Poor survival | Kuo et al. ( | |
| Endometrial cancer | Endometrial cancer patient samples | Na | Elevated | Elevated | The | Krzeslak et al. ( | |
| Endometrial cancer cell lines | Elevated | Na | Na | Hyper- | Jaskiewicz and Townson ( | ||
| OV | The human ovarian carcinoma cell lines | Elevated | Elevated | Na | Jin et al. ( | ||
| The human ovarian carcinoma cell lines | Elevated | Elevated | Na | Niu et al. ( | |||
| Liver cancer | HCC patient samples and cell lines | Elevated | Elevated | Na | Qiao et al. ( | ||
| HCC patient samples and cell lines | Elevated | Elevated | Na | Zhu et al. ( | |||
| Livers of diabetic mice | Elevated | Na | Na | There is positive auto-regulatory feedback between | Yao et al. ( | ||
| HCC patient samples and cell lines | Elevated | Elevated | Na | ACSL4 promoted HCC growth and survival by enhancing | Wang et al. ( | ||
| NAFLD-HCC patient samples, and liver cancer cell lines | Na | Elevated | Na | OGT played an oncogenic role in NAFLD-associated HCC through regulating palmitic acid and inducing ER stress, consequently activating oncogenic JNK/c-Jun/AP-1 and NF-κB cascades | Xu et al. ( | ||
| Samples from patients with HCC recurrence after liver transplantation | Elevated | Elevated | Decreased | Poor Survival | Zhu et al. ( | ||
| HCC patient samples | Elevated | Na | Na | Increased | Duan et al. ( | ||
| Liver cancer patient samples and cell lines | Elevated | Na | Na | YAP was | Zhang et al. ( | ||
| CRC | CRC patient samples and the human colon tumor cell lines | Elevated | Elevated | no significant change | Mi et al. ( | ||
| CRC patient samples | Elevated | Elevated | no significant change | Abnormal | Phueaouan et al. ( | ||
| CRC patient samples and the CRC cell lines | Elevated | Na | Na | Zhu et al. ( | |||
| Human CRC cell lines | Elevated | Elevated | Na | Hyper- | Poor survival | Wu et al. ( | |
| The murine colon carcinoma cells | Elevated | Na | Na | Harosh-Davidovich and Khalaila ( | |||
| Human colon cancer cells | Elevated | Elevated | Na | Seo et al. ( | |||
| CRC patient samples, CRC cell lines | Elevated | Elevated | Na | ITGA5 overexpression accelerates the progression of CRC, which is closely associated with its enhanced | Yu et al. ( | ||
| PDAC | Human pancreatic cancer cells | Elevated | Elevated | Decreased | Hyper- | Ma et al. ( | |
| PDAC cells | Elevated | Elevated | Elevated | OGA promotes | Qian et al. ( | ||
| The pancreatic cancer cell lines | Elevated | Elevated | Na | Triptolide-induced cell death in pancreatic cancer is mediated by alteration of | Banerjee et al. ( | ||
| GC | Primary GC patient samples | Elevated | Elevated | Na | Poor survival | Jang and Kim ( | |
| GC patient samples and cell lines | Elevated | Elevated | Na | Hyper- | Poor survival | Jiang et al. ( | |
| ESCC | ESCC patient samples | Elevated | Elevated | Na | Hyper- | Poor survival | Qiao et al. ( |
| ESCSs, ESCC cell lines | Na | Elevated | Na | OGT in exosomes from ECSCs protected ECSCs from CD8 + T cells through up-regulation of PD-1 | Yuan et al. ( | ||
| CHOL | CHOL patient samples | Elevated | Elevated | Decreased | Hyper- | Poor Survival | Phoomak et al. ( |
| PC | PC patient samples and cell lines | Elevated | Elevated | Na | OGT and | Lynch et al. ( | |
| PC biopsy patient samples | Elevated | Na | Na | Hyper- | Poor Survival | Kamigaito et al. ( | |
| PC cell lines | Elevated | Elevated | Na | Gu et al. ( | |||
| PC patient samples | Na | Elevated | Na | Inhibition of OGT in PC cells resulted in slowing of the cell cycle and a reduction in DNA replication via a MYC-dependent pathway | Itkonen et al. ( | ||
| BC | Urine obtained from BC patients | Na | Elevated | Elevated | Analysis of urinary content of | Rozanski et al. ( | |
| BC patient samples and cell lines | Elevated | Elevated | Na | Hyper- | Wang et al. ( | ||
| BC patient samples and cell lines | Na | Elevated | Decreased | Knockdown of OGT inhibited cell proliferation, migration, invasion, and induce cell cycle arrest, while these effects were reversed when OGA is inhibited | Jin et al. ( | ||
| RCC | RCC patient samples and cell lines | Elevated | Elevated | na | Hyper- | Poor survival | Wang et al. ( |
| Lung cancer | Lung cancer patient samples and cell lines | Elevated | Elevated | na | Hyper- | Mi et al. ( | |
| LUAD patient samples | Elevated | Elevated | Elevated | High expression of OGT could independently predict poor survival outcomes in patients with stage I LUAD | Poor survival | Lin et al. ( | |
| Lung cancer patient samples and LUAD cell lines | Elevated | Elevated | na | Ge et al. ( | |||
| SCLC | SCLC patient samples | Elevated | Elevated | Elevated | High OGT and OGA levels were associated with poor prognosis and could be considered new biomarkers of the invasive phenotype of tumor cells | Poor survival | Starska et al. ( |
| CLL | Blood from CLL patients, CLL cells | Elevated | Elevated | Na | Indolent and aggressive clinical behavior of CLL cells were correlated with higher and lower | Shi et al. ( | |
| AML | AML patient samples and cell lines | Na | Elevated | Na | Elevated OGT expression was significantly associated with poor OS in patients with AML. Inhibition of OGT inhibited AML cell proliferation and promoted AML cell apoptosis | Poor survival | He et al. ( |
| AML patient samples and cell lines | Elevated | Elevated | Na | Inhibition of HBP or OGT led to AML cell differentiation and apoptosis | Asthana et al. ( | ||
| ALL | Pre-B ALL patient samples and cell lines | Elevated | Elevated | Decreased | Zhang et al. ( | ||
| DLBC | DLBC patient samples and cell lines | Elevated | Elevated | Na | Elevated OGT levels were associated with poor survival of patients with DLBC. Targeting OGT in DLBC cells inhibited activation of | Poor survival | Pham et al. ( |
| TC | TC patient samples | Decreased | na | Elevated | OGA activity increased in TC in comparison to non-neoplastic lesions and adenomas | Krzeslak et al. ( | |
| Papillary thyroid cancer patient samples and cell lines | Elevated | Elevated | Na | Poor survival | Li et al. ( | ||
| GBM | GBM patient samples | Elevated | Elevated | Na | OGT regulates acetate-dependent acetyl-CoA and lipid production in GBM cells by regulating phosphorylation of ACSS2 by CDK5 | Ciraku et al. ( |
Fig. 6O-GlcNAc modifying enzymes expression in different cancer cell lines. Compared with other solid tumors, cancer cell lines of hematological malignancies showed higher expression levels of OGT and OGA. (A) OGT expression in different cancer cell lines. B OGA expression in different cancer cell lines. Data were downloaded from the DepMap-portal (https://depmap.org/portal). Each dot represents a cell line and the black bar graphs are median of expression in that tissue type
The available inhibitors targeting OGT
| Categories | Compound | IC50 (μM) | Advantages | Disadvantages | References |
|---|---|---|---|---|---|
| Substrate and product analogs | Alloxan | 18 ± 1 | Cell-permeable | Potential off-target effects and general cellular toxicity | Konrad et al. ( |
| UDP- S -GlcNAc | 93 ± 15 | Sub-millimolar inhibitors | Lack of cell permeability | UniProt: a worldwide hub of protein knowledge ( | |
| UDP- C-GlcNAc | 41 ± 7 | Sub-millimolar inhibitors | Lack of cell permeability, a weak hOGT inhibitor | Dorfmueller et al. ( | |
| C-UDP | 9.0 ± 1.0 | Sub-millimolar inhibitors | Lack of cell permeability | Dorfmueller et al. ( | |
| UDP-5SGlcNAc | 5 | Cell-permeable | Affect N-glycosylation in cells and glycan synthesis outside the cells | Gloster et al. ( | |
| HTS-derived inhibitors | ST045849 | 53 ± 7 | Highly selective and cell-permeable | Potential off-target effects and cellular toxicity | Kamigaito et al. ( |
| OSMI-1 | 2.7 | Cell-permeable, not alter cell surface N- or O-linked glycans, on-target activity | Ortiz-Meoz et al. ( | ||
| Bisubstrate inhibitor | goblin1 | 18 | Can synergize with goblin2 to enhance inhibition | Lack of cell permeability | Borodkin et al. ( |
| goblin2 | 40 | Can synergize with goblin1 to enhance inhibition | Lack of cell permeability | Borodkin et al. ( |