Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma
Background/Aims: Kidney renal clear cell carcinoma (KIRC) is one of the most fatal malignancies due to late diagnosis and poor treatment. To improve its prognosis, a screening for molecular biomarkers of KIRC is urgently needed. Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis an...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Cell Physiol Biochem Press GmbH & Co KG
2018-08-01
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| Series: | Cellular Physiology and Biochemistry |
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| Online Access: | https://www.karger.com/Article/FullText/492699 |
| _version_ | 1811282921168830464 |
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| author | Jukun Song Juxiang Peng Chen Zhu Guohui Bai Yongda Liu Jianguo Zhu Jianguo Liu |
| author_facet | Jukun Song Juxiang Peng Chen Zhu Guohui Bai Yongda Liu Jianguo Zhu Jianguo Liu |
| author_sort | Jukun Song |
| collection | DOAJ |
| description | Background/Aims: Kidney renal clear cell carcinoma (KIRC) is one of the most fatal malignancies due to late diagnosis and poor treatment. To improve its prognosis, a screening for molecular biomarkers of KIRC is urgently needed. Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and prognosis of cancers. However, it is not clear whether lncRNAs can be used as molecular biomarkers in predicting the survival of KIRC patients. Methods: In this study, our aim was to identify lncRNAs/mRNAs signatures and their prognostic values in KIRC. The aberrant expression profile of mRNAs and lncRNAs in 529 KIRC tissues and 72 adjacent non-tumor pancreatic tissues were obtained from the Cancer Genome Atlas (TCGA). A weighted gene co-expression network analysis (WGCNA) of two key lncRNAs was constructed. We constructed an aberrant lncRNA-mRNA-miRNA ceRNA network in CESC. In addition, Gene Ontology (GO) and KEGG pathway analysis were performed. Results: Using lncRNA/mRNA expression profiling data, the overall analysis revealed that two novel lncRNA signatures (DNM1P35 and MIR155HG) and several mRNAs were found to be significantly correlated with KIRC patient’s overall analysis. Based on the target gene of the two lncRNA in co-expression network, the GO and KEGG analysis were also performed. A dysregulated lncRNA-related ceRNA network was also observed. Conclusion: These results suggested that the two novel lncRNAs signatures may act as independent prognostic biomarkers for predicting the survival of KIRC patient. |
| first_indexed | 2024-04-13T02:01:14Z |
| format | Article |
| id | doaj.art-13e528e94afc4f47924963dad8ee0134 |
| institution | Directory Open Access Journal |
| issn | 1015-8987 1421-9778 |
| language | English |
| last_indexed | 2024-04-13T02:01:14Z |
| publishDate | 2018-08-01 |
| publisher | Cell Physiol Biochem Press GmbH & Co KG |
| record_format | Article |
| series | Cellular Physiology and Biochemistry |
| spelling | doaj.art-13e528e94afc4f47924963dad8ee01342022-12-22T03:07:36ZengCell Physiol Biochem Press GmbH & Co KGCellular Physiology and Biochemistry1015-89871421-97782018-08-014862549256210.1159/000492699492699Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell CarcinomaJukun SongJuxiang PengChen ZhuGuohui BaiYongda LiuJianguo ZhuJianguo LiuBackground/Aims: Kidney renal clear cell carcinoma (KIRC) is one of the most fatal malignancies due to late diagnosis and poor treatment. To improve its prognosis, a screening for molecular biomarkers of KIRC is urgently needed. Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and prognosis of cancers. However, it is not clear whether lncRNAs can be used as molecular biomarkers in predicting the survival of KIRC patients. Methods: In this study, our aim was to identify lncRNAs/mRNAs signatures and their prognostic values in KIRC. The aberrant expression profile of mRNAs and lncRNAs in 529 KIRC tissues and 72 adjacent non-tumor pancreatic tissues were obtained from the Cancer Genome Atlas (TCGA). A weighted gene co-expression network analysis (WGCNA) of two key lncRNAs was constructed. We constructed an aberrant lncRNA-mRNA-miRNA ceRNA network in CESC. In addition, Gene Ontology (GO) and KEGG pathway analysis were performed. Results: Using lncRNA/mRNA expression profiling data, the overall analysis revealed that two novel lncRNA signatures (DNM1P35 and MIR155HG) and several mRNAs were found to be significantly correlated with KIRC patient’s overall analysis. Based on the target gene of the two lncRNA in co-expression network, the GO and KEGG analysis were also performed. A dysregulated lncRNA-related ceRNA network was also observed. Conclusion: These results suggested that the two novel lncRNAs signatures may act as independent prognostic biomarkers for predicting the survival of KIRC patient.https://www.karger.com/Article/FullText/492699Long non-coding RNAsKidney Renal ClearCell CarcinomaCompetitive endogenous RNA |
| spellingShingle | Jukun Song Juxiang Peng Chen Zhu Guohui Bai Yongda Liu Jianguo Zhu Jianguo Liu Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma Cellular Physiology and Biochemistry Long non-coding RNAs Kidney Renal Clear Cell Carcinoma Competitive endogenous RNA |
| title | Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma |
| title_full | Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma |
| title_fullStr | Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma |
| title_full_unstemmed | Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma |
| title_short | Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma |
| title_sort | identification and validation of two novel prognostic lncrnas in kidney renal clear cell carcinoma |
| topic | Long non-coding RNAs Kidney Renal Clear Cell Carcinoma Competitive endogenous RNA |
| url | https://www.karger.com/Article/FullText/492699 |
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