BACKGROUND Colorectal cancer (CRC) is the third most prevalent malignancy and has the fourth highest global cancer mortality rate. Early diagnosis and prompt medical attention can improve quality of life and the progn...BACKGROUND Colorectal cancer (CRC) is the third most prevalent malignancy and has the fourth highest global cancer mortality rate. Early diagnosis and prompt medical attention can improve quality of life and the prognosis of CRC patients. Accumulating evidence reveals that long non-coding RNAs (lncRNAs) function as oncogenes or anti-oncogenes, as well as biomarkers in various cancers. AIM To investigate the levels and molecular mechanism of the lncRNA maternally expressed gene 3 (MEG3) in CRC. METHODS The levels of lncRNA MEG3 in CRC tissue, serum and cell line samples were explored via qRT-PCR. The relationship between MEG3 levels and clinicopathological features in CRC was investigated. The diagnostic and prognostic values of serum MEG3 levels were analyzed with ROC curves and KaplanMeier survival curves, respectively. RESULTS Significant decreased levels of MEG3 existed in CRC tissue, cell lines and serum. CRC patients with down-regulated serum MEG3 levels had larger tumor sizes, and advanced clinical stages. The sensitivity and specificity of serum MEG3 levels in CRC detection was 0.667 and 0.875, respectively. Tumor size, T stages, and serum MEG3 levels are indie factors that produce an effect on CRC patients' prognosis. KaplanMeier survival curves suggested that CRC patients with high levels of MEG3 had a remarkably better overall survival rate. CONCLUSION LncRNA MEG3 is down-regulated in CRC, and regulates cell functions by targeting adenosine deaminase’s effect on RNA 1 in CRC.展开更多
BACKGROUND Colorectal cancer(CRC)is one of the most malignant gastrointestinal cancers worldwide.The liver is the most important metastatic target organ,and liver metastasis is the leading cause of death in patients w...BACKGROUND Colorectal cancer(CRC)is one of the most malignant gastrointestinal cancers worldwide.The liver is the most important metastatic target organ,and liver metastasis is the leading cause of death in patients with CRC.Owing to the lack of sensitive biomarkers and unclear molecular mechanism,the occurrence of liver metastases cannot be predicted and the clinical outcomes are bad for liver metastases.Therefore,it is very important to identify the diagnostic or prognostic markers for liver metastases of CRC.AIM To investigate the highly differentially expressed genes(HDEGs)and prognostic marker for liver metastases of CRC.METHODS Data from three NCBI Gene Expression Omnibus(GEO)datasets were used to show HDEGs between liver metastases of CRC and tumour or normal samples.These significantly HDEGs of the three GEO datasets take the interactions.And these genes were screened through an online tool to explore the prognostic value.Then,TIMER and R package were utilized to investigate the immunity functions of the HDEGs and gene set enrichment analysis was used to explore their potential functions.RESULTS Based on the selection criteria,three CRC datasets for exploration(GSE14297,GSE41258,and GSE49355)were chosen.Venn diagrams were used to show HDEGs common to the six groups and 47 HDEGs were obtained.The HDEGs were shown by using STRING and Cytoscape software.Based on the TCGA database,APOC1 showed significantly different expression between N2 and N0,and N2 and N1.And there was also a significant difference in expression between T2 and T4,and between T2 and T3.In 20 paired CRC and normal tissues,quantitative real-time polymerase chain reaction illustrated that the APOC1 mRNA was strongly upregulated in CRC tissues(P=0.014).PrognoScan and GEPIA2 revealed the prognostic value of APOC1 for overall survival and diseasefree survival in CRC(P<0.05).TIMER showed that APOC1 has a close relationship with immune infiltration(P<0.05).CONCLUSION APOC1 is a biomarker that is associated with both the diagnosis and prognosis of liver metastases of CRC.展开更多
To identify novel genes in castration-resistant prostate cancer(CRPC),we downloaded three microarray datasets containing CRPC and primary prostate cancer in Gene Expression Omnibus(GEO).R packages affy and limma were ...To identify novel genes in castration-resistant prostate cancer(CRPC),we downloaded three microarray datasets containing CRPC and primary prostate cancer in Gene Expression Omnibus(GEO).R packages affy and limma were performed to identify differentially expressed genes(DEGs)between primary prostate cancer and CRPC.After that,we performed functional enrichment analysis including gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway.In addition,protein–protein interaction(PPI)analysis was used to search for hub genes.Finally,to validate the significance of these genes,we performed survival analysis.As a result,we identified 53 upregulated genes and 58 downregulated genes that changed in at least two datasets.Functional enrichment analysis showed significant changes in the positive regulation of osteoblast differentiation pathway and aldosteroneregulated sodium reabsorption pathway.PPI network identified hub genes like cortactin-binding protein 2(CTTNBP2),Rho family guanosine triphosphatase(GTPase)3(RND3),protein tyrosine phosphatase receptor-type R(PTPRR),Jagged1(JAG1),and lumican(LUM).Based on PPI network analysis and functional enrichment analysis,we identified two genes(PTPRR and JAG1)as key genes.Further survival analysis indicated a relationship between high expression of the two genes and poor prognosis of prostate cancer.In conclusion,PTPRR and JAG1 are key genes in the CRPC,which may serve as promising biomarkers of diagnosis and prognosis of CRPC.展开更多
文摘BACKGROUND Colorectal cancer (CRC) is the third most prevalent malignancy and has the fourth highest global cancer mortality rate. Early diagnosis and prompt medical attention can improve quality of life and the prognosis of CRC patients. Accumulating evidence reveals that long non-coding RNAs (lncRNAs) function as oncogenes or anti-oncogenes, as well as biomarkers in various cancers. AIM To investigate the levels and molecular mechanism of the lncRNA maternally expressed gene 3 (MEG3) in CRC. METHODS The levels of lncRNA MEG3 in CRC tissue, serum and cell line samples were explored via qRT-PCR. The relationship between MEG3 levels and clinicopathological features in CRC was investigated. The diagnostic and prognostic values of serum MEG3 levels were analyzed with ROC curves and KaplanMeier survival curves, respectively. RESULTS Significant decreased levels of MEG3 existed in CRC tissue, cell lines and serum. CRC patients with down-regulated serum MEG3 levels had larger tumor sizes, and advanced clinical stages. The sensitivity and specificity of serum MEG3 levels in CRC detection was 0.667 and 0.875, respectively. Tumor size, T stages, and serum MEG3 levels are indie factors that produce an effect on CRC patients' prognosis. KaplanMeier survival curves suggested that CRC patients with high levels of MEG3 had a remarkably better overall survival rate. CONCLUSION LncRNA MEG3 is down-regulated in CRC, and regulates cell functions by targeting adenosine deaminase’s effect on RNA 1 in CRC.
基金National Key Research and Development(R&D)Program Project,No.2019YFC1315705.
文摘BACKGROUND Colorectal cancer(CRC)is one of the most malignant gastrointestinal cancers worldwide.The liver is the most important metastatic target organ,and liver metastasis is the leading cause of death in patients with CRC.Owing to the lack of sensitive biomarkers and unclear molecular mechanism,the occurrence of liver metastases cannot be predicted and the clinical outcomes are bad for liver metastases.Therefore,it is very important to identify the diagnostic or prognostic markers for liver metastases of CRC.AIM To investigate the highly differentially expressed genes(HDEGs)and prognostic marker for liver metastases of CRC.METHODS Data from three NCBI Gene Expression Omnibus(GEO)datasets were used to show HDEGs between liver metastases of CRC and tumour or normal samples.These significantly HDEGs of the three GEO datasets take the interactions.And these genes were screened through an online tool to explore the prognostic value.Then,TIMER and R package were utilized to investigate the immunity functions of the HDEGs and gene set enrichment analysis was used to explore their potential functions.RESULTS Based on the selection criteria,three CRC datasets for exploration(GSE14297,GSE41258,and GSE49355)were chosen.Venn diagrams were used to show HDEGs common to the six groups and 47 HDEGs were obtained.The HDEGs were shown by using STRING and Cytoscape software.Based on the TCGA database,APOC1 showed significantly different expression between N2 and N0,and N2 and N1.And there was also a significant difference in expression between T2 and T4,and between T2 and T3.In 20 paired CRC and normal tissues,quantitative real-time polymerase chain reaction illustrated that the APOC1 mRNA was strongly upregulated in CRC tissues(P=0.014).PrognoScan and GEPIA2 revealed the prognostic value of APOC1 for overall survival and diseasefree survival in CRC(P<0.05).TIMER showed that APOC1 has a close relationship with immune infiltration(P<0.05).CONCLUSION APOC1 is a biomarker that is associated with both the diagnosis and prognosis of liver metastases of CRC.
文摘To identify novel genes in castration-resistant prostate cancer(CRPC),we downloaded three microarray datasets containing CRPC and primary prostate cancer in Gene Expression Omnibus(GEO).R packages affy and limma were performed to identify differentially expressed genes(DEGs)between primary prostate cancer and CRPC.After that,we performed functional enrichment analysis including gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway.In addition,protein–protein interaction(PPI)analysis was used to search for hub genes.Finally,to validate the significance of these genes,we performed survival analysis.As a result,we identified 53 upregulated genes and 58 downregulated genes that changed in at least two datasets.Functional enrichment analysis showed significant changes in the positive regulation of osteoblast differentiation pathway and aldosteroneregulated sodium reabsorption pathway.PPI network identified hub genes like cortactin-binding protein 2(CTTNBP2),Rho family guanosine triphosphatase(GTPase)3(RND3),protein tyrosine phosphatase receptor-type R(PTPRR),Jagged1(JAG1),and lumican(LUM).Based on PPI network analysis and functional enrichment analysis,we identified two genes(PTPRR and JAG1)as key genes.Further survival analysis indicated a relationship between high expression of the two genes and poor prognosis of prostate cancer.In conclusion,PTPRR and JAG1 are key genes in the CRPC,which may serve as promising biomarkers of diagnosis and prognosis of CRPC.
