Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma
Clear cell renal cell carcinoma (ccRCC) is the most common histological type of renal carcinoma and has a high recurrence rate and poor outcome. Accurate patient risk stratification based on genetic markers can help to identify the high-risk patient for early and further treatments and would promote...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-09-01
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| Series: | Molecular Therapy: Oncolytics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2372770521001145 |
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doaj-cfce95920bfc48a186799591ebcc3428 |
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Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Xiaoyu Chao Pei Wang Xiaoyu Ma Zhenfen Li Yubing Xia Ying Guo Linna Ge Linzhu Tian Hong Zheng Yaowu Du Jitian Li Zhanjie Zuo Longxiang Xie Xiangqian Guo |
| spellingShingle |
Xiaoyu Chao Pei Wang Xiaoyu Ma Zhenfen Li Yubing Xia Ying Guo Linna Ge Linzhu Tian Hong Zheng Yaowu Du Jitian Li Zhanjie Zuo Longxiang Xie Xiangqian Guo Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma Molecular Therapy: Oncolytics ccRCC lncRNAs diagnosis treatment response prognosis ceRNA |
| author_facet |
Xiaoyu Chao Pei Wang Xiaoyu Ma Zhenfen Li Yubing Xia Ying Guo Linna Ge Linzhu Tian Hong Zheng Yaowu Du Jitian Li Zhanjie Zuo Longxiang Xie Xiangqian Guo |
| author_sort |
Xiaoyu Chao |
| title |
Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| title_short |
Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| title_full |
Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| title_fullStr |
Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| title_full_unstemmed |
Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| title_sort |
comprehensive analysis of lncrnas as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma |
| publisher |
Elsevier |
| series |
Molecular Therapy: Oncolytics |
| issn |
2372-7705 |
| publishDate |
2021-09-01 |
| description |
Clear cell renal cell carcinoma (ccRCC) is the most common histological type of renal carcinoma and has a high recurrence rate and poor outcome. Accurate patient risk stratification based on genetic markers can help to identify the high-risk patient for early and further treatments and would promote patient survival. Long non-coding RNAs (lncRNAs) have attracted widespread attention as biomarkers for early diagnosis, treatment, and prognosis because of their high specificity and sensitivity. Here, we performed a systematic search in NCBI PubMed and found 44 lncRNAs as oncogenes, 18 lncRNAs as tumor suppressors, 199 lncRNAs as diagnostic biomarkers, 62 lncRNAs as prognostic biomarkers, and 3 lncRNAs as predictive biomarkers for ccRCC. We also comprehensively discuss the biological functions and molecular regulatory mechanisms of lncRNAs in ccRCC. Overall, the present study is a systemic analysis to assess the expression and clinical value of lncRNAs in ccRCC, and lncRNAs hold promise to be diagnostic, prognostic, and predictive biomarkers. |
| topic |
ccRCC lncRNAs diagnosis treatment response prognosis ceRNA |
| url |
http://www.sciencedirect.com/science/article/pii/S2372770521001145 |
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doaj-cfce95920bfc48a186799591ebcc34282021-09-25T05:09:00ZengElsevierMolecular Therapy: Oncolytics2372-77052021-09-0122209218Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinomaXiaoyu Chao0Pei Wang1Xiaoyu Ma2Zhenfen Li3Yubing Xia4Ying Guo5Linna Ge6Linzhu Tian7Hong Zheng8Yaowu Du9Jitian Li10Zhanjie Zuo11Longxiang Xie12Xiangqian Guo13Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaKaifeng Tumor Hospital, Kaifeng 475004, ChinaKaifeng Tumor Hospital, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, ChinaLaboratory of Molecular Biology, Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou 450000, ChinaThoracic Cancer Treatment Center, Armed police Beijing Corps Hospital, Beijing 100027, ChinaDepartment of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; Corresponding author: Longxiang Xie, Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China; Corresponding author: Xiangqian Guo, Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng 475004, China.Clear cell renal cell carcinoma (ccRCC) is the most common histological type of renal carcinoma and has a high recurrence rate and poor outcome. Accurate patient risk stratification based on genetic markers can help to identify the high-risk patient for early and further treatments and would promote patient survival. Long non-coding RNAs (lncRNAs) have attracted widespread attention as biomarkers for early diagnosis, treatment, and prognosis because of their high specificity and sensitivity. Here, we performed a systematic search in NCBI PubMed and found 44 lncRNAs as oncogenes, 18 lncRNAs as tumor suppressors, 199 lncRNAs as diagnostic biomarkers, 62 lncRNAs as prognostic biomarkers, and 3 lncRNAs as predictive biomarkers for ccRCC. We also comprehensively discuss the biological functions and molecular regulatory mechanisms of lncRNAs in ccRCC. Overall, the present study is a systemic analysis to assess the expression and clinical value of lncRNAs in ccRCC, and lncRNAs hold promise to be diagnostic, prognostic, and predictive biomarkers.http://www.sciencedirect.com/science/article/pii/S2372770521001145ccRCClncRNAsdiagnosistreatment responseprognosisceRNA |