A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer
<p><strong>Background and Objective:</strong></p> <p><strong>Background and Objective: </strong>Colorectal cancer is one of the most common malignant tumors in the world. The prognosis of colorectal cancer is still considered as worse des...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Discover STM Publishing Ltd
2021-03-01
|
| Series: | BioMedica |
| Online Access: | https://biomedicapk.com/10.51441/BioMedica/5-167 |
| _version_ | 1797629320318943232 |
|---|---|
| author | Wang Yuhang Chen Lu Pei Lixia Chen Yufeng Hu Yue Hou Wenzhen Song Yafang Sun Mengzhu Sun Jianhua |
| author_facet | Wang Yuhang Chen Lu Pei Lixia Chen Yufeng Hu Yue Hou Wenzhen Song Yafang Sun Mengzhu Sun Jianhua |
| author_sort | Wang Yuhang |
| collection | DOAJ |
| description | <p><strong>Background and Objective:</strong></p>
<p><strong>Background and Objective: </strong>Colorectal cancer is one of the most common malignant tumors in the world. The prognosis of colorectal cancer is still considered as worse despite the rapid development of treatment methods in the recent years. Therefore, it is important to understand the pathogenesis and development for more accurate prognostic methods. The present study aimed to identify a long non‑coding (lnc) RNAs‑based signature for prognostic determination of colon cancer patients.</p>
<p><strong>Methods: </strong>Datasets from the GEO and TCGA databases were used, differential expression of lncRNA was analyzed, and a 6‑lncRNA signature was identified. KEGG and GO was used to enrich the signal pathway to determine the biological effects of these 6-lncRNA.</p>
<p><strong>Resul</strong>t<strong>s:</strong> This study has designed a prognosis model containing “LINC01494”, “TRPM2-AS”, “ATP1A1-AS1”, “FRY-AS1”, “LINC01360”, and “RBFADN” based on data set of colorectal cancer patients available in the TCGA and GEO databases. The prognostic model of lncRNAs may predict the prognosis of patients with colorectal cancer.</p>
<p><strong>Conclusion:</strong> The present study identified a 6‑lncRNA signature that could predict the survival rate for colon cancer patients. Further studies may be carried out to strengthen the findings of the present study.</p> |
| first_indexed | 2024-03-11T10:52:45Z |
| format | Article |
| id | doaj.art-071743e8bc164b02a06efd7e8a67b154 |
| institution | Directory Open Access Journal |
| issn | 2710-3471 |
| language | English |
| last_indexed | 2024-03-11T10:52:45Z |
| publishDate | 2021-03-01 |
| publisher | Discover STM Publishing Ltd |
| record_format | Article |
| series | BioMedica |
| spelling | doaj.art-071743e8bc164b02a06efd7e8a67b1542023-11-13T14:11:07ZengDiscover STM Publishing LtdBioMedica2710-34712021-03-01371293810.51441/BioMedica/5-167A 6-lncRNA Signature to Improve Prognostic Prediction of Colon CancerWang Yuhang0Chen Lu1Pei Lixia2Chen Yufeng3Hu Yue4Hou Wenzhen5Song Yafang6Sun Mengzhu7Sun Jianhua8Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing- China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –ChinaOutpatient Department, Nanjing University of Traditional Chinese Medicine, Nanjing – China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing –China.<p><strong>Background and Objective:</strong></p> <p><strong>Background and Objective: </strong>Colorectal cancer is one of the most common malignant tumors in the world. The prognosis of colorectal cancer is still considered as worse despite the rapid development of treatment methods in the recent years. Therefore, it is important to understand the pathogenesis and development for more accurate prognostic methods. The present study aimed to identify a long non‑coding (lnc) RNAs‑based signature for prognostic determination of colon cancer patients.</p> <p><strong>Methods: </strong>Datasets from the GEO and TCGA databases were used, differential expression of lncRNA was analyzed, and a 6‑lncRNA signature was identified. KEGG and GO was used to enrich the signal pathway to determine the biological effects of these 6-lncRNA.</p> <p><strong>Resul</strong>t<strong>s:</strong> This study has designed a prognosis model containing “LINC01494”, “TRPM2-AS”, “ATP1A1-AS1”, “FRY-AS1”, “LINC01360”, and “RBFADN” based on data set of colorectal cancer patients available in the TCGA and GEO databases. The prognostic model of lncRNAs may predict the prognosis of patients with colorectal cancer.</p> <p><strong>Conclusion:</strong> The present study identified a 6‑lncRNA signature that could predict the survival rate for colon cancer patients. Further studies may be carried out to strengthen the findings of the present study.</p>https://biomedicapk.com/10.51441/BioMedica/5-167 |
| spellingShingle | Wang Yuhang Chen Lu Pei Lixia Chen Yufeng Hu Yue Hou Wenzhen Song Yafang Sun Mengzhu Sun Jianhua A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer BioMedica |
| title | A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer |
| title_full | A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer |
| title_fullStr | A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer |
| title_full_unstemmed | A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer |
| title_short | A 6-lncRNA Signature to Improve Prognostic Prediction of Colon Cancer |
| title_sort | 6 lncrna signature to improve prognostic prediction of colon cancer |
| url | https://biomedicapk.com/10.51441/BioMedica/5-167 |
| work_keys_str_mv | AT wangyuhang a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT chenlu a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT peilixia a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT chenyufeng a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT huyue a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT houwenzhen a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT songyafang a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT sunmengzhu a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT sunjianhua a6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT wangyuhang 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT chenlu 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT peilixia 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT chenyufeng 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT huyue 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT houwenzhen 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT songyafang 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT sunmengzhu 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer AT sunjianhua 6lncrnasignaturetoimproveprognosticpredictionofcoloncancer |