309 Transcriptome analysis of renal cell carcinoma and normal kidney tissue for the identification of new diagnostic and prognostic biomarkers

2012 ◽  
Vol 11 (1) ◽  
pp. e309
Author(s):  
K. Nagao ◽  
F. Smit ◽  
Weijert M.C.A. De ◽  
S. Jannink ◽  
J.A. Schalken ◽  
...  
2012 ◽  
Vol 8 (4) ◽  
pp. 1007-1016 ◽  
Author(s):  
F. Raimondo ◽  
L. Morosi ◽  
C. Chinello ◽  
R. Perego ◽  
C. Bianchi ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248983
Author(s):  
Christudas Morais ◽  
Retnagowri Rajandram ◽  
Jade S. Blakeney ◽  
Abishek Iyer ◽  
Jacky Y. Suen ◽  
...  

Expression of the protease sensing receptor, protease activated receptor-2 (PAR2), is elevated in a variety of cancers and has been promoted as a potential therapeutic target. With the development of potent antagonists for this receptor, we hypothesised that they could be used to treat renal cell carcinoma (RCC). The expression of PAR2 was, therefore, examined in human RCC tissues and selected RCC cell lines. Histologically confirmed cases of RCC, together with paired non-involved kidney tissue, were used to produce a tissue microarray (TMA) and to extract total tissue RNA. Immunohistochemistry and qPCR were then used to assess PAR2 expression. In culture, RCC cell lines versus primary human kidney tubular epithelial cells (HTEC) were used to assess PAR2 expression by qPCR, immunocytochemistry and an intracellular calcium mobilization assay. The TMA revealed an 85% decrease in PAR2 expression in tumour tissue compared with normal kidney tissue. Likewise, qPCR showed a striking reduction in PAR2 mRNA in RCC compared with normal kidney. All RCC cell lines showed lower levels of PAR2 expression than HTEC. In conclusion, we found that PAR2 was reduced in RCC compared with normal kidney and is unlikely to be a target of interest in the treatment of this type of cancer.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jing Quan ◽  
Yuchen Bai ◽  
Yunbei Yang ◽  
Er Lei Han ◽  
Hong Bai ◽  
...  

Abstract Background The molecular prognostic biomarkers of clear cell renal cell carcinoma (ccRCC) are still unknown. We aimed at researching the candidate biomarkers and potential therapeutic targets of ccRCC. Methods Three ccRCC expression microarray datasets (include GSE14762, GSE66270 and GSE53757) were downloaded from the gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) between ccRCC and normal tissues were explored. The potential functions of identified DEGs were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). And then the protein - protein interaction network (PPI) was established to screen the hub genes. After that, the expressions of hub genes were identified by the oncomine database. The hub genes’ prognostic values of patients with ccRCC were analyzed by GEPIA database. Results A total of 137 DEGs were identified by utilizing the limma package and RRA method, including 63 upregulated genes and 74 downregulated genes. It is found that 137 DEGs were mainly enriched in 82 functional terms and 24 pathways in accordance with the research results. Thirteen highest-scoring genes were screened as hub genes (include 10 upregulated genes and 3 downregulated candidate genes) by utilizing the PPI network and module analysis. Through integrating the oncoming database and GEPIA database, the author found that C3 and CXCR4 are not only overexpressed in ccRCC, but also associated with the prognosis of ccRCC. Further results could reveal that patients with high C3 expression had a poor overall survival (OS), while patients with high CTSS and TLR3 expressions had a good OS; patients with high C3 and CXCR4 expressions had a poor disease-free survival (DFS), while ccRCC patients with high TLR3 expression had a good DFS. Conclusion These findings suggested that C3 and CXCR4 were the candidate biomarkers and potential therapeutic targets of ccRCC patients.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2574
Author(s):  
Jee Soo Park ◽  
Myung Eun Lee ◽  
Won Sik Jang ◽  
Koon Ho Rha ◽  
Seung Hwan Lee ◽  
...  

Genes associated with the DEAD-box helicase DDX11 are significant biomarkers of aggressive renal cell carcinoma (RCC), but their molecular function is poorly understood. We analyzed the molecular pathways through which DDX11 is involved in RCC cell survival and poly (ADP-ribose) polymerase (PARP) inhibitor sensitivity. Immunohistochemistry and immunoblotting determined DDX11 expression in normal kidney tissues, benign renal tumors, and RCC tissues and cell lines. Quantitative polymerase chain reaction validated the downregulation of DDX11 in response to transfection with DDX11-specific small interfering RNA. Proliferation analysis and apoptosis assays were performed to determine the impact of DDX11 knockdown on RCC cells, and the relevant effects of sunitinib, olaparib, and sunitinib plus olaparib were evaluated. DDX11 was upregulated in high-grade, advanced RCC compared to low-grade, localized RCC, and DDX11 was not expressed in normal kidney tissues or benign renal tumors. DDX11 knockdown resulted in the inhibition of RCC cell proliferation, segregation defects, and rapid apoptosis. DDX11-deficient RCC cells exhibited significantly increased sensitivity to olaparib compared to sunitinib alone or sunitinib plus olaparib combination treatments. Moreover, DDX11 could determine PARP inhibitor sensitivity in RCC. DDX11 could serve as a novel therapeutic biomarker for RCC patients who are refractory to conventional targeted therapies and immunotherapies.


2015 ◽  
Vol 69 (6) ◽  
pp. 497-504 ◽  
Author(s):  
Zhengzuo Sheng ◽  
Yang Liu ◽  
Caipeng Qin ◽  
Zhenhua Liu ◽  
Yeqing Yuan ◽  
...  

OBJECTIVE:To investigate if IgG can be expressed in clear cell renal cell carcinoma (cRCC) , and the expression of IgG is involved in the cancer progression. If IgG expression can serve as a potential target in cancer therapies and be used for judging the prognosis.MATERIALS AND METHODS:By immunohistochemistry, we detected IgG in cRCC tissues(75 cRCC tissues and75 adjacent normal kidney tissues). Immunofluorescence and Western blot was used to detect the IgG in cRCC cell lines (786-0, ACHN and CAKI-I). By RT-PCR, the functional transcript of IgG heavy chain was detected. Knockdown of IgG was to analyze the proliferation, migration and invasion ability by CCK8, Transwell and Matrigel and apoptosis in cRCC cell lines.RESULTS:By immunohistochemistry, we found strong staining of IgG in 66 cases of 75 cRCC tissues and 63 cases of 75 adjacent normal kidney tissues. Immunofluorescence and Western blot was found IgG in cRCC cell lines. Knock-down IgG in cRCC cell lines resulted in significant inhibition of cell proliferation, migration and invasion, and the induction of apoptosis of the 786-0 cells. The immunohistochemistry analysis showed that high IgG expression significantly correlated with the poor differentiation and advanced stage of cRCC.CONCLUSION:IgG was over expressed in cRCC and was involved in the proliferation, migration and invasion of cancer cells. IgG expression may serve as a potential target in cancer therapies and could be used for judging the prognosis.


2020 ◽  
Author(s):  
Wingkeung Yiu ◽  
Can-Xuan Li ◽  
Jie Chen

Abstract Background: Growing evidence has shown that the type VI collagen alpha chain (COL6A) family involved in the tumorigenesis and progression of diverse malignancies; however, its biological roles and potential mechanisms in clear cell renal cell carcinoma (ccRCC) remain unknown. The study was designed to explore the potential mechanisms and functions of COL6As in ccRCC.Methods: ONCOMINE and GEPIA databases were used to compare the transcriptional expression data of COL6As in ccRCC samples and normal renal samples. UALCAN database was utilized to determine the association between clinicopathological features and COL6As expression. Kaplan–Meier method was employed to determine the prognostic value of COL6As mRNA expression in ccRCC. CBioPortal database was used to investigate the genetic alterations of COL6As in ccRCC. Co-expression analyses, functional enrichment analyses, and gene set enrichment analysis (GSEA) were utilized to explore the potential action mechanisms of COL6As in ccRCC. Finally, we estimated the relationship between COL6As expression with immune cell infiltrates.Results: Upregulated transcriptional COL6A2/COL6A3 expression was observed in ccRCC specimens by comparison with noncancerous renal specimens. Patients with increased COL6A2/COL6A3 mRNA expression have a poor clinical outcome and unfavorable prognosis. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and GSEA analyses showed that COL6A2/COL6A3 might promote the tumorigenesis and progression of ccRCC by involving in several cancer-related pathways, such as axon guidance, focal adhesion, ECM receptor interaction. Besides, we found that COL6A2/COL6A3 expression was significantly associated with immune infiltration levels in ccRCC.Conclusions: COL6A2 and COL6A3 could act as candidate prognostic biomarkers and therapeutic targets in ccRCC. However, further experimental work was required to validate the conclusions.


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