A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer
Abstract Background Pancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients’ prognosis is in urgent need. Methods In the present study, we conducted Cox proportional hazards regression to...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-10-01
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| Series: | Cancer Cell International |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12935-020-01588-y |
| _version_ | 1818269486157922304 |
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| author | Hongkai Zhuang Shanzhou Huang Zixuan Zhou Zuyi Ma Zedan Zhang Chuanzhao Zhang Baohua Hou |
| author_facet | Hongkai Zhuang Shanzhou Huang Zixuan Zhou Zuyi Ma Zedan Zhang Chuanzhao Zhang Baohua Hou |
| author_sort | Hongkai Zhuang |
| collection | DOAJ |
| description | Abstract Background Pancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients’ prognosis is in urgent need. Methods In the present study, we conducted Cox proportional hazards regression to identify critical prognosis-associated lncRNAs (PALncs) in TCGA PC dataset. Based on the results of multivariate analysis, a PALnc-based risk score system was established, and validated in GSE62452 dataset. The validity and reliability of the risk score system for prognosis of PC were evaluated through ROC analysis. And function enrichment analyses for the PALncs were also performed. Result In the multivariate analysis, four PALncs (LINC00476, C9orf163, LINC00346 and DSCR9) were screened out to develop a risk score system, which showed a high AUC at 3 and 5 years overall survival (0.785 at 3 year OS, 0.863 at 5 year OS) in TCGA datasets. And the ROC analysis of the risk score system for RFS in TCGA dataset revealed that AUC for RFS was 0.799 at 3 years and 0.909 at 5 years. Further, the AUC for OS in the validation cohort was 0.705 at 3 years and 0.959 at 5 years. Furthermore, the functional enrichment analysis revealed that these PALncs may be involved in various pathways related to cancer, including Ras family activation, autophagy in cancer, MAPK signaling pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway, etc. And correlation analysis of these tumor infiltrating immune cells and risk score system revealed that the infiltration level of B cell naïve, plasma cells, and CD8+ T cells are negatively correlated to the risk score system, while macrophages M2 positively correlated to the risk score system. Conclusion Our study established a four PALncs based risk score system, which reflects immune cell infiltration and predicts patient survival for PC. |
| first_indexed | 2024-12-12T20:55:09Z |
| format | Article |
| id | doaj.art-1d7108fd6a9a4a0fa6e0f2c141751505 |
| institution | Directory Open Access Journal |
| issn | 1475-2867 |
| language | English |
| last_indexed | 2024-12-12T20:55:09Z |
| publishDate | 2020-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Cell International |
| spelling | doaj.art-1d7108fd6a9a4a0fa6e0f2c1417515052022-12-22T00:12:19ZengBMCCancer Cell International1475-28672020-10-0120111010.1186/s12935-020-01588-yA four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancerHongkai Zhuang0Shanzhou Huang1Zixuan Zhou2Zuyi Ma3Zedan Zhang4Chuanzhao Zhang5Baohua Hou6Department of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesDepartment of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesAbstract Background Pancreatic cancer (PC) is one of the most common cancers and the leading cause of cancer-related death worldwide. Exploring novel predictive biomarkers for PC patients’ prognosis is in urgent need. Methods In the present study, we conducted Cox proportional hazards regression to identify critical prognosis-associated lncRNAs (PALncs) in TCGA PC dataset. Based on the results of multivariate analysis, a PALnc-based risk score system was established, and validated in GSE62452 dataset. The validity and reliability of the risk score system for prognosis of PC were evaluated through ROC analysis. And function enrichment analyses for the PALncs were also performed. Result In the multivariate analysis, four PALncs (LINC00476, C9orf163, LINC00346 and DSCR9) were screened out to develop a risk score system, which showed a high AUC at 3 and 5 years overall survival (0.785 at 3 year OS, 0.863 at 5 year OS) in TCGA datasets. And the ROC analysis of the risk score system for RFS in TCGA dataset revealed that AUC for RFS was 0.799 at 3 years and 0.909 at 5 years. Further, the AUC for OS in the validation cohort was 0.705 at 3 years and 0.959 at 5 years. Furthermore, the functional enrichment analysis revealed that these PALncs may be involved in various pathways related to cancer, including Ras family activation, autophagy in cancer, MAPK signaling pathway, HIF-1 signaling pathway, PI3K-Akt signaling pathway, etc. And correlation analysis of these tumor infiltrating immune cells and risk score system revealed that the infiltration level of B cell naïve, plasma cells, and CD8+ T cells are negatively correlated to the risk score system, while macrophages M2 positively correlated to the risk score system. Conclusion Our study established a four PALncs based risk score system, which reflects immune cell infiltration and predicts patient survival for PC.http://link.springer.com/article/10.1186/s12935-020-01588-yPancreatic cancerBiomarkerlncRNAsRisk scoreTCGA |
| spellingShingle | Hongkai Zhuang Shanzhou Huang Zixuan Zhou Zuyi Ma Zedan Zhang Chuanzhao Zhang Baohua Hou A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer Cancer Cell International Pancreatic cancer Biomarker lncRNAs Risk score TCGA |
| title | A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| title_full | A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| title_fullStr | A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| title_full_unstemmed | A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| title_short | A four prognosis-associated lncRNAs (PALnc) based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| title_sort | four prognosis associated lncrnas palnc based risk score system reflects immune cell infiltration and predicts patient survival in pancreatic cancer |
| topic | Pancreatic cancer Biomarker lncRNAs Risk score TCGA |
| url | http://link.springer.com/article/10.1186/s12935-020-01588-y |
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