Dataset Information

High expression of CD73 contributes to poor prognosis of clear-cell renal cell carcinoma by promoting cell proliferation and migration.

ABSTRACT:

Background

Accumulating data have shown that high expression of CD73 is associated with poor prognosis in various cancers, however the role and significance of CD73 in clear-cell renal cell carcinoma (ccRCC) still remain unclear. The present study aims to evaluate the prognostic significance of CD73 in ccRCC and explore the potential function in vitro and in vivo.

Methods

Firstly, the expression of CD73 in ccRCC was detected using clinical tissues and verified using TCGA and GEO data. Immunohistochemistry and Kaplan-Meier test were performed for survival analysis. Furthermore, knockdown or overexpression of CD73 was conducted by lentivirus transfection in ccRCC cells. MTT assay, colony formation assay, wound healing assay, transwell assay and xenograft assay were performed in vitro or in vivo.

Results

Our results showed that CD73 was highly expressed in ccRCC, and high expression of CD73 was negatively correlated with prognosis. In addition, CD73 promoted cell proliferation and migration in vitro and in vivo. Our data also showed that CD73 played both enzymatic and non-enzymatic functions in the regulation of cell proliferation and migration in ccRCC.

Conclusions

These findings suggested that CD73 might promote the growth of ccRCC and contribute to poor prognosis. Taken together, CD73 may be a potential therapeutic target in ccRCC.

SUBMITTER: Zhou Y

PROVIDER: S-EPMC9641103 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

High expression of CD73 contributes to poor prognosis of clear-cell renal cell carcinoma by promoting cell proliferation and migration.

Zhou Yihong Y Jiang Dong D Chu Xi X Yan Minbo M Qi Hao H Wu Xiang X Tang Yuxin Y Dai Yingbo Y

Translational cancer research 20221001 10

<h4>Background</h4>Accumulating data have shown that high expression of CD73 is associated with poor prognosis in various cancers, however the role and significance of CD73 in clear-cell renal cell carcinoma (ccRCC) still remain unclear. The present study aims to evaluate the prognostic significance of CD73 in ccRCC and explore the potential function <i>in vitro</i> and <i>in vivo</i>.<h4>Methods</h4>Firstly, the expression of CD73 in ccRCC was detected using clinical tissues and verified using ...[more]

PMID: 36388013

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Project description:BackgroundRenal cell carcinoma (RCC) is the seventh most common cancer in humans, of which clear cell renal cell carcinoma (ccRCC) accounts for the majority. Recently, although there have been significant breakthroughs in the treatment of ccRCC, the prognosis of targeted therapy is still poor. Leukemia inhibitory factor (LIF) is a pleiotropic protein, which is overexpressed in many cancers and plays a carcinogenic role. In this study, we explored the expression and potential role of LIF in ccRCC.MethodsThe expression levels and prognostic effects of the LIF gene in ccRCC were detected using TCGA, GEO, ICGC, and ArrayExpress databases. The function of LIF in ccRCC was investigated using a series of cell function approaches. LIF-related genes were identified by weighted gene correlation network analysis (WGCNA). GO and KEGG analyses were performed subsequently. Cox univariate and LASSO analyses were used to develop risk signatures based on LIF-related genes, and the prognostic model was validated in the ICGC and E-MTAB-1980 databases. Then, a nomogram model was constructed for survival prediction and validation of ccRCC patients. To further explore the drug sensitivity between LIF-related genes, we also conducted a drug sensitivity analysis based on the GDSC database.ResultsThe mRNA and protein expression levels of LIF were significantly increased in ccRCC patients. In addition, a high expression of LIF has a poor prognostic effect in ccRCC patients. LIF knockdown can inhibit the migration and invasion of ccRCC cells. By using WGCNA, 97 LIF-related genes in ccRCC were identified. Next, a prognostic risk prediction model including eight LIF-related genes (TOB2, MEPCE, LIF, RGS2, RND3, KLF6, RRP12, and SOCS3) was developed and validated. Survival analysis and ROC curve analysis indicated that the eight LIF-related-gene predictive model had good performance in evaluating patients' prognosis in different subgroups of ccRCC.ConclusionOur study revealed that LIF plays a carcinogenic role in ccRCC. In addition, we firstly integrated multiple LIF-related genes to set up a risk-predictive model. The model could accurately predict the prognosis of ccRCC, which offers clinical implications for risk stratification, drug screening, and therapeutic decision.

Project description:BackgroundRunt-related transcription factor 1 (RUNX1) was previously reported to play a dual role in promoting or suppressing tumorigenesis in various malignancies. A public dataset from The Cancer Genome Atlas (TCGA) was used to evaluate the role of RUNX1 in clear cell renal cell carcinoma (ccRCC).MethodsThe Wilcoxon signed-rank test was used to compare the expression of RUNX1 in ccRCC tissues and normal tissues. The Wilcoxon signed-rank test and logistic regression were utilized to investigate the relationship between clinicopathological factors and RUNX1 expression. Additionally, we analysed the differences in prognosis between patients with high and low expression of RUNX1 via the Kaplan-Meier method and Cox regression. Gene set enrichment analysis (GSEA) was performed to explore the mechanisms of RUNX1 in ccRCC.ResultsThe expression of RUNX1 in ccRCC tissues was significantly higher than that in normal tissues. High expression of RUNX1 was significantly associated with gender (p = 0.003), clinical stage (p < 0.001), tissue infiltration (p < 0.001), lymph node metastasis (p = 0.037) and histological grade (p < 0.001). Logistic regression analysis showed that high RUNX1 expression was significantly correlated with gender (OR = 1.71 for male vs. female, p = 0.004), histological grade (OR = 11.61 for grade IV vs. I, p < 0.001), clinical stage (OR = 1.55 for stage III/IV vs. I/II, p = 0.014) and tissue infiltration (OR = 1.54 for positive vs. negative, p = 0.018). Kaplan-Meier survival curves revealed that the prognosis of patients with ccRCC with high RUNX1 expression was worse than that of patients with ccRCC with low RUNX1 expression (p < 0.001). Univariate Cox regression analysis showed that high RUNX1 expression was strongly correlated with poor prognosis (HR = 1.60, 95% CI [1.31-1.97], p < 0.001). In addition, high expression of RUNX1 was an independent prognostic factor for poor overall survival (OS), with an HR of 1.50 (95% CI [1.20-1.87], p < 0.001) in multivariate Cox analysis. GSEA showed that the apoptosis, B cell receptor signalling pathway, calcium signalling pathway, chemokine signalling pathway, JAK/STAT signalling pathway, MAPK signalling pathway, p53 signalling pathway, pathways in cancer, T cell receptor signalling pathway, Toll-like receptor signalling pathway, VEGF signalling pathway, and Wnt signalling pathway were significantly enriched in the RUNX1 high-expression phenotype. In conclusion, RUNX1 can be used as a novel prognostic factor and therapeutic target in ccRCC.

Dataset Information

High expression of CD73 contributes to poor prognosis of clear-cell renal cell carcinoma by promoting cell proliferation and migration.

Background

Methods

Results

Conclusions

Publications

High expression of CD73 contributes to poor prognosis of clear-cell renal cell carcinoma by promoting cell proliferation and migration.

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