Prognostic significance of ST6GalNAc-1 expression in patients with non-metastatic clear cell renal cell carcinoma

Bai, Qi; Liu, Li; Xi, Wei; Wang, Jiajun; Yu, Xinbing; Qu, Yang; Xiong, Ying; Long, Qilai; Xu, Jiejie; Guo, Jianming

doi:10.18632/oncotarget.11258

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…In recent years, ST6GalNAc-I has been widely recognized for its role in tumor activity by regulating Tn and STn antigens [ 76 ]. Qi Bai et al detected ST6GaNAc-1 high expression in tumors by tissue microarray and immunohistochemical staining and showed that ST6GalNAC-I affected the patient’s overall survival in non-metastatic ccRCC [ 77 ]. Mucins contain a large amount of O-glycosylation, and abnormal expression or glycosylation of mucins can alter the biological behaviors of tumor cells, such as growth, differentiation, adhesion, and invasion [ 78 , 79 ].…”

Section: O-glycansmentioning

confidence: 99%

Glycosylation in Renal Cell Carcinoma: Mechanisms and Clinical Implications

Zhu

Al-Danakh

Zhang

et al. 2022

Cells

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Renal cell carcinoma (RCC) is one of the most prevalent malignant tumors of the urinary system, accounting for around 2% of all cancer diagnoses and deaths worldwide. Clear cell RCC (ccRCC) is the most prevalent and aggressive histology with an unfavorable prognosis and inadequate treatment. Patients’ progression-free survival is considerably improved by surgery; however, 30% of patients develop metastases following surgery. Identifying novel targets and molecular markers for RCC prognostic detection is crucial for more accurate clinical diagnosis and therapy. Glycosylation is a critical post-translational modification (PMT) for cancer cell growth, migration, and invasion, involving the transfer of glycosyl moieties to specific amino acid residues in proteins to form glycosidic bonds through the activity of glycosyltransferases. Most cancers, including RCC, undergo glycosylation changes such as branching, sialylation, and fucosylation. In this review, we discuss the latest findings on the significance of aberrant glycans in the initiation, development, and progression of RCC. The potential biomarkers of altered glycans for the diagnosis and their implications in RCC have been further highlighted.

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Section: O-glycansmentioning

confidence: 99%

Glycosylation in Renal Cell Carcinoma: Mechanisms and Clinical Implications

Zhu

Al-Danakh

Zhang

et al. 2022

Cells

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“…Despite of surgery, some of the patients still develop postoperative recurrence or metastasis. [4,5] Metastatic stage represents a challenge for ccRCC patients, due to its high resistance to chemotherapy and radiotherapy. [6,7] Although great progress has been made in the therapeutic strategy, the 5-year survival rates of patients with ccRCC are still not ideal.…”

Section: Introductionmentioning

confidence: 99%

Expression of microRNA-3133 correlates with the prognosis in patients with clear cell renal cell carcinoma

Chen¹

2019

Medicine

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Clear cell renal cell carcinoma (ccRCC) represents a prevalent urological malignancy among men worldwide. MicroRNAs (miRNAs) are involved in the progression of diverse human cancers. The aim of this study was to explore the expression profile and prognostic value of microRNA-3133 (miR-3133) in ccRCC. The expression of miR-3133 in ccRCC tissues and non-cancerous tissues was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was applied to evaluate the relationship between miR-3133 expression and clinical characteristics. Overall survival curve was constructed by Kaplan–Meier with log-rank test. The prognostic value of miR-3133 in ccRCC was estimated by Cox regression analysis. MiR-3133 was downregulated in ccRCC samples compared to the matched noncancerous samples ( P <.01). Moreover, its expression level was correlated with T stage, vascular invasion and lymph node metastasis (all P <.05). Survival curves demonstrated that patients with low level of miR-3133 underwent lower overall survival than those with high level (log rank test, P = .002). MiR-3133 might be an independent prognostic biomarker in ccRCC patients (HR = 2.802, 95% CI = 1.391–5.646, P = .004). MiR-3133 is downregulated, and plays inhibitory roles in aggressive progression of ccRCC. MiR-3133 may be an independent prognostic biomarker for ccRCC.

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“…HOXC6, a member of the homeobox family that encodes highly conserved transcription factors, not only plays a crucial role in CRC [27], but also functions as an independent prognostic marker for hepatocellular carcinoma [28] and prostate cancer [29]. LINC00261 [30,31,32], TNFRSF11A [33], CASP1 [34], ST6GALNAC1 [35], and PIGR [36] also play prognostic roles in cancer. Only PCSK1’s function in cancer and immunity has not been researched.…”

Section: Discussionmentioning

confidence: 99%

Construction and Validation of an Immune-Related Prognostic Model Based on TP53 Status in Colorectal Cancer

Zhao

Liu

et al. 2019

Cancers

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Growing evidence has indicated that prognostic biomarkers have a pivotal role in tumor and immunity biological processes. TP53 mutation can cause a range of changes in immune response, progression, and prognosis of colorectal cancer (CRC). Thus, we aim to build an immunoscore prognostic model that may enhance the prognosis of CRC from an immunological perspective. We estimated the proportion of immune cells in the GSE39582 public dataset using the CIBERSORT (Cell type identification by estimating relative subset of known RNA transcripts) algorithm. Prognostic genes that were used to establish the immunoscore model were generated by the LASSO (Least absolute shrinkage and selection operator) Cox regression model. We established and validated the immunoscore model in GEO (Gene Expression Omnibus) and TCGA (The Cancer Genome Atlas) cohorts, respectively; significant differences of overall survival analysis were found between the low and high immunoscore groups or TP53 subgroups. In the multivariable Cox analysis, we observed that the immunoscore was an independent prognostic factor both in the GEO cohort (HR (Hazard ratio) 1.76, 95% CI (confidence intervals): 1.26–2.46) and the TCGA cohort (HR 1.95, 95% CI: 1.20–3.18). Furthermore, we established a nomogram for clinical application, and the results suggest that the nomogram is a better predictive model for prognosis than immunoscore or TNM staging.

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Prognostic significance of ST6GalNAc-1 expression in patients with non-metastatic clear cell renal cell carcinoma

Cited by 6 publications

References 32 publications

Glycosylation in Renal Cell Carcinoma: Mechanisms and Clinical Implications

Glycosylation in Renal Cell Carcinoma: Mechanisms and Clinical Implications

Expression of microRNA-3133 correlates with the prognosis in patients with clear cell renal cell carcinoma

Construction and Validation of an Immune-Related Prognostic Model Based on TP53 Status in Colorectal Cancer

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