Proteomic dataset for altered glycoprotein expression upon GALNT3 knockdown in ovarian cancer cells

Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers

Background

Osteoarthritis (OA) is a slowly developing and debilitating disease, and there are no validated specific biomarkers for its early detection. To improve therapeutic approaches, identification of specific molecules/biomarkers enabling early determination of this disease is needed. This study aimed at identifying, with the use of proteomics/mass spectrometry, novel OA-specific serum biomarkers. As obesity is a major risk factor for OA, we discriminated obesity-regulated proteins to target only OA-specific proteins as biomarkers.

Methods

Serum from the Osteoarthritis Initiative cohort was used and divided into 3 groups: controls (n=8), OA-obese (n=10) and OA-non-obese (n=10). Proteins were identified and quantified from the liquid chromatography–tandem mass spectrometry analyses using MaxQuant software. Statistical analysis used the Limma test followed by the Benjamini-Hochberg method. To compare the proteomic profiles, the multivariate unsupervised principal component analysis (PCA) followed by the pairwise comparison was used. To select the most predictive/discriminative features, the supervised linear classification model sparse partial least squares regression discriminant analysis (sPLS-DA) was employed. Validation of three differential proteins was performed with protein-specific assays using plasma from a cohort derived from the Newfoundland Osteoarthritis.

Results

In total, 509 proteins were identified, and 279 proteins were quantified. PCA-pairwise differential comparisons between the 3 groups revealed that 8 proteins were differentially regulated between the OA-obese and/or OA-non-obese with controls. Further experiments using the sPLS-DA revealed two components discriminating OA from controls (component 1, 9 proteins), and OA-obese from OA-non-obese (component 2, 23 proteins). Proteins from component 2 were considered related to obesity. In component 1, compared to controls, 7 proteins were significantly upregulated by both OA groups and 2 by the OA-obese. Among upregulated proteins from both OA groups, some of them alone would not be a suitable choice as specific OA biomarkers due to their rather non-specific role or their strong link to other pathological conditions. Altogether, data revealed that the protein CRTAC1 appears to be a strong OA biomarker candidate. Other potential new biomarker candidates are the proteins FBN1, VDBP, and possibly SERPINF1. Validation experiments revealed statistical differences between controls and OA for FBN1 (p=0.044) and VDPB (p=0.022), and a trend for SERPINF1 (p=0.064).

Conclusion

Our study suggests that 4 proteins, CRTAC1, FBN1, VDBP, and possibly SERPINF1, warrant further investigation as potential new biomarker candidates for the whole OA population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-022-02801-1.

GALNT6 suppresses progression of colorectal cancer

Colorectal cancer (CRC) is one of the most common malignant tumors in the world. Invasion and metastasis are the main cause of mortality in most CRC patients. Polypeptide N-acetylgalactosaminyltransferase 6 (GALNT6) regulated glycosylation, which is frequently altered in cancers, and play an important role in cancer development. However, the role of GALNT6 in CRC remains unknown. To investigate the role of GALNT6 in CRC, first we studied correlation of GALNT6 expression levels with outcomes of CRC patients and found CRC patients with higher expression of GALNT6 had a better overall survival than those with lower expression. In addition, GALNT6 expression were significantly associated with tumor size, histological differentiation and lymph node metastasis. In vitro, GALNT6 overexpression dramatically inhibited cellular colony formation, migration, and invasion, and promoted the apoptosis of CRC cells. In vivo, CRC with GALNT6 overexpression showed reduced pulmonary metastasis in recipient mice compared with the controls. GALNT6 expression was significantly increased in SW480 and SW1116 cells cultured in hypoxic condition, and decreased in HT29 and LOVO cells with oxidative stress. Affimetrix microarray analysis showed that GALNT6 overexpression induced 279 genes up-regulated and 215 genes down-regulated in CRC. GALNT6 overexpression dramatically suppressed AKT and activated CD28 signaling pathway in CRC. AKT rescue experiment found that AKT was involved in GALNT6-induced CRC cell migration and invasion. In conclusion, our results first suggest that GALNT6 plays an important role in development and progression of CRC as a tumor suppressor gene.

Altered expression of different GalNAc‑transferases is associated with disease progression and poor prognosis in women with high-grade serous ovarian cancer

Protein glycosylation perturbations are implicated in a variety of diseases, including cancer. Aberrant glycosylation in cancer is frequently attributed to altered expression of polypeptide GalNAc transferases (GalNAc‑Ts) - enzymes initiating mucin-type O-glycosylation. A previous study from our group demonstrated that one member of this family (GALNT3) is overexpressed in epithelial ovarian cancer (EOC), and GALNT3 expression correlated with shorter progression-free survival (PFS) in EOC patients with advanced disease. As considerable degree of redundancy between members of the GalNAc‑Ts gene family has been frequently observed, we decided to investigate whether other members of this family are essential in EOC progression. In silico analysis based on publically available data was indicative for altered expression of five GalNAc‑Ts (GALNT2, T4, T6, T9 and T14) in ovarian high-grade serous carcinoma (HGSC) samples compared to non-tumoral (control) ovarian tissue. We analyzed protein expression of these GalNAc‑Ts in EOC cells and tumors by western blotting, followed by immunohistochemical (IHC) evaluation of their expression in EOC tumor and control samples using tissue microarrays (TMAs). Western blot analyses were indicative for low expression of GALNT2 and strong expression of GALNT6, T9 and T14 in both EOC cells and tumors. These observations were confirmed by IHC. GALNT2 displayed significantly lower expression, while GALNT6, GALNT9 and GALNT14 showed significantly higher expression in HGSC tumors compared to control tissue. Importantly, GALNT6 and GALNT14 expression correlated with poor prognosis of serous EOC patients. Moreover, our results suggest for overlapping functions of some GalNAc‑Ts, more specifically GALNT3 and GALNT6, in directing EOC progression. Our results are indicative for a possible implication of different members of the GalNAc‑T gene family in modulating EOC progression, and the potential use of GALNT6 and GALNT14 as novel prognostic EOC biomarkers. These data warrant future studies on the role of members of the GalNAc‑Ts gene family in ovarian tumorigenesis.

Differential expression of ST6GAL1 in the tumor progression of colorectal cancer

Elevated expression of β-galactoside α2,6-sialyltranferase 1 (ST6GAL1) has been observed in colorectal cancer (CRC) and demonstrated to be important for its tumorigenesis. Here, we found that ST6GAL1 expression was significantly higher in non-metastatic tumors (stage I and II) than that in metastatic tumors (stage III and IV) using 62 pair-matched tumor/normal tissues. To elucidate the molecular mechanisms of how ST6GAL1 affected the CRC progression, we performed a global identification of the substrates of ST6GAL1 in the colon adenocarcinoma cell line SW480. A total of 318 membrane proteins were identified differentially affected by ST6GAL1 overexpression using metabolic labeling and proteomic analysis. Subsequent bioinformatic analysis revealed a list of potential substrates that might mediate the different functions of ST6GAL1 in CRC including cell movement, cell death and survival. Taken together, these results indicate a dynamic change in the expression of ST6GAL1 during the CRC progression and provide a list of sialylated proteins potentially relevant to the different functions of ST6GAL1 in CRC.

A metabolic labeling approach for glycoproteomic analysis reveals altered glycoprotein expression upon GALNT3 knockdown in ovarian cancer cells

Epithelial ovarian cancer (EOC) is a disease responsible for more deaths among women in the Western world than all other gynecologic malignancies. There is urgent need for new therapeutic targets and a better understanding of EOC initiation and progression. We have previously identified the polypeptide N-acetylgalactosaminyltransferase 3 (GALNT3) gene, a member of the GalNAc-transferases (GalNAc-Ts) gene family, as hypomethylated and overexpressed in high-grade serous EOC tumors, compared to low malignant potential EOC tumors and normal ovarian tissues. This data also suggested for a role of GALNT3 in aberrant EOC glycosylation, possibly implicated in disease progression. To evaluate differential glycosylation in EOC caused by modulations in GALNT3 expression, we used a metabolic labeling strategy for enrichment and mass spectrometry-based characterization of glycoproteins following GALNT3 gene knockdown (KD) in A2780s EOC cells. A total of 589 differentially expressed glycoproteins were identified upon GALNT3 KD. Most identified proteins were involved in mechanisms of cellular metabolic functions, post-translational modifications, and some have been reported to be implicated in EOC etiology. The GALNT3-dependent glycoproteins identified by this metabolic labeling approach support the oncogenic role of GALNT3 in EOC dissemination and may be pursued as novel EOC biomarkers and/or therapeutic targets.

BIOLOGICAL SIGNIFICANCE

Knowledge of the O-glycoproteome has been relatively elusive, and the functions of the individual polypeptide GalNAc-Ts have been poorly characterized. Alterations in GalNAc-Ts expression were shown to provide huge variability in the O-glycoproteome in various pathologies, including cancer. The application of a chemical biology approach for the metabolic labeling and subsequent characterization of O-glycoproteins in EOC using the Ac4GalNAz metabolite has provided a strategy allowing for proteomic discovery of GalNAc-Ts specific functions. Our study supports an essential role of one of the GalNAc-Ts - GALNT3, in EOC dissemination, including its implication in modulating PTMs and EOC metabolism. Our approach validates the use of the applied metabolic strategy to identify important functions of GalNAc-Ts in normal and pathological conditions.