Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer
Although the American Joint Commission on Cancer (AJCC) staging has been widely used to predict the survival of cancer patients, there are still some limitations. The high accuracy of lncRNA-based signature prediction has attracted widespread attention. The data were obtained from the RNA sequencing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2022-05-01
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| Series: | Technology in Cancer Research & Treatment |
| Online Access: | https://doi.org/10.1177/15330338221097215 |
| _version_ | 1818160443358707712 |
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| author | Helin Wang MD Mingying Li BM Ying Wang MM Luonan Wang MM |
| author_facet | Helin Wang MD Mingying Li BM Ying Wang MM Luonan Wang MM |
| author_sort | Helin Wang MD |
| collection | DOAJ |
| description | Although the American Joint Commission on Cancer (AJCC) staging has been widely used to predict the survival of cancer patients, there are still some limitations. The high accuracy of lncRNA-based signature prediction has attracted widespread attention. The data were obtained from the RNA sequencing data of nonsmall cell lung cancer (NSCLC) in the Cancer Genome Atlas (TCGA) database. Differentially expressed lncRNAs (DELs) and differentially expressed mRNAs (DEMs) were identified. Using univariate Cox proportional hazard regression (CPHR) analysis, least absolute shrinkage and selection operator method, and multivariate CPHR, 5 lncRNAs (LINC00460, LINC00857, LINC01116, RP11-253E3.3, and RP11-359E19.2) related to patient survival were successfully screened. Combined with age, gender, AJCC staging, and 5 lncRNAs, a nomogram with a better prognosis prediction ability than traditional parameters was constructed. Prognostic accuracy was evaluated using the receiver operating characteristic (ROC) curve and area under the ROC value. In addition, through co-expression analysis, we found that 5 lncRNA target genes have 34 DEMs. Gene ontology function analysis showed that these DEMs were mainly enriched in enzyme inhibitor activity and other aspects. Finally, these DEMs were found to be involved in the formation of the tumor immune microenvironment. In short, the nomogram based on 5 lncRNAs can effectively predict the overall survival rate of NSCLC and may guide the formulation of treatment plans for NSCLC. |
| first_indexed | 2024-12-11T16:01:57Z |
| format | Article |
| id | doaj.art-f776b9ed0d5849bd94153e6d6ea25b52 |
| institution | Directory Open Access Journal |
| issn | 1533-0338 |
| language | English |
| last_indexed | 2024-12-11T16:01:57Z |
| publishDate | 2022-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Technology in Cancer Research & Treatment |
| spelling | doaj.art-f776b9ed0d5849bd94153e6d6ea25b522022-12-22T00:59:18ZengSAGE PublishingTechnology in Cancer Research & Treatment1533-03382022-05-012110.1177/15330338221097215Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung CancerHelin Wang MD0Mingying Li BM1Ying Wang MM2Luonan Wang MM3 Departments of Oncology, , Henan, China Departments of Tuberculosis, , Henan, China Departments of Oncology, , Henan, China Departments of Oncology, , Henan, ChinaAlthough the American Joint Commission on Cancer (AJCC) staging has been widely used to predict the survival of cancer patients, there are still some limitations. The high accuracy of lncRNA-based signature prediction has attracted widespread attention. The data were obtained from the RNA sequencing data of nonsmall cell lung cancer (NSCLC) in the Cancer Genome Atlas (TCGA) database. Differentially expressed lncRNAs (DELs) and differentially expressed mRNAs (DEMs) were identified. Using univariate Cox proportional hazard regression (CPHR) analysis, least absolute shrinkage and selection operator method, and multivariate CPHR, 5 lncRNAs (LINC00460, LINC00857, LINC01116, RP11-253E3.3, and RP11-359E19.2) related to patient survival were successfully screened. Combined with age, gender, AJCC staging, and 5 lncRNAs, a nomogram with a better prognosis prediction ability than traditional parameters was constructed. Prognostic accuracy was evaluated using the receiver operating characteristic (ROC) curve and area under the ROC value. In addition, through co-expression analysis, we found that 5 lncRNA target genes have 34 DEMs. Gene ontology function analysis showed that these DEMs were mainly enriched in enzyme inhibitor activity and other aspects. Finally, these DEMs were found to be involved in the formation of the tumor immune microenvironment. In short, the nomogram based on 5 lncRNAs can effectively predict the overall survival rate of NSCLC and may guide the formulation of treatment plans for NSCLC.https://doi.org/10.1177/15330338221097215 |
| spellingShingle | Helin Wang MD Mingying Li BM Ying Wang MM Luonan Wang MM Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer Technology in Cancer Research & Treatment |
| title | Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer |
| title_full | Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer |
| title_fullStr | Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer |
| title_full_unstemmed | Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer |
| title_short | Construction of a Nomogram Based on lncRNA and Patient’s Clinical Characteristics to Improve the Prognosis of Non-Small Cell Lung Cancer |
| title_sort | construction of a nomogram based on lncrna and patient s clinical characteristics to improve the prognosis of non small cell lung cancer |
| url | https://doi.org/10.1177/15330338221097215 |
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