Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer
BackgroundEsophageal cancer is one of the deadliest malignancies in the world, and 5-year overall survival (OS) of esophageal cancer ranges from 12% to 20%. Surgical resection remains the principal treatment. The American Joint Commission on Cancer (AJCC) TNM (tumor, node, and metastasis) staging sy...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1007859/full |
| _version_ | 1797866876856958976 |
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| author | Bowen Shi Chunguang Li Wenqiang Xia Yuerong Chen Hezhong Chen Li Xu Ming Qin |
| author_facet | Bowen Shi Chunguang Li Wenqiang Xia Yuerong Chen Hezhong Chen Li Xu Ming Qin |
| author_sort | Bowen Shi |
| collection | DOAJ |
| description | BackgroundEsophageal cancer is one of the deadliest malignancies in the world, and 5-year overall survival (OS) of esophageal cancer ranges from 12% to 20%. Surgical resection remains the principal treatment. The American Joint Commission on Cancer (AJCC) TNM (tumor, node, and metastasis) staging system is a key guideline for prognosis and treatment decisions, but it cannot fully predict outcomes. Therefore, targeting the molecular and biological features of each patient’s tumor, and identifying key prognostic biomarkers as effective survival predictors and therapeutic targets are highly important to clinicians and patients.MethodsIn this study, three different methods, including Univariate Cox regression, Lasso regression, and Randomforest regression were used to screen the independent factors affecting the prognosis of esophageal squamous cell carcinoma and construct a nomogram prognostic model. The accuracy of the model was verified by comparing with TNM staging system and the reliability of the model was verified by internal cross validation.ResultsPreoperative neutrophil lymphocyte ratio(preNLR), N-stage, p53 level and tumor diameter were selected to construct the new prognostic model. Patients with higher preNLR level, higher N-stage, lower p53 level and larger tumor diameter had worse OS. The results of C-index, Decision Curve Analysis (DCA), and integrated discrimination improvement (IDI) showed that the new prognostic model has a better prediction than the TNM staging system.ConclusionThe accuracy and reliability of the nomogram prognostic model were higher than that of TNM staging system. It can effectively predict individual OS and provide theoretical basis for clinical decision making. |
| first_indexed | 2024-04-09T23:31:21Z |
| format | Article |
| id | doaj.art-e9cebd90727f4dfe8761e21bbf654d44 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-09T23:31:21Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-e9cebd90727f4dfe8761e21bbf654d442023-03-21T05:30:15ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-03-011310.3389/fonc.2023.10078591007859Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancerBowen Shi0Chunguang Li1Wenqiang Xia2Yuerong Chen3Hezhong Chen4Li Xu5Ming Qin6Department of Thoracic Surgery, Changhai Hospital, Naval Medical University, Shanghai, ChinaDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, ChinaDepartment of Thoracic Surgery, Changhai Hospital, Naval Medical University, Shanghai, ChinaDepartment of General Surgery, Tengchong People’s Hospital, Tengchong, ChinaDepartment of Thoracic Surgery, Changhai Hospital, Naval Medical University, Shanghai, ChinaDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Shanghai Tongji University, Shanghai, ChinaSchool of Basic Medicine, Naval Medical University, Shanghai, ChinaBackgroundEsophageal cancer is one of the deadliest malignancies in the world, and 5-year overall survival (OS) of esophageal cancer ranges from 12% to 20%. Surgical resection remains the principal treatment. The American Joint Commission on Cancer (AJCC) TNM (tumor, node, and metastasis) staging system is a key guideline for prognosis and treatment decisions, but it cannot fully predict outcomes. Therefore, targeting the molecular and biological features of each patient’s tumor, and identifying key prognostic biomarkers as effective survival predictors and therapeutic targets are highly important to clinicians and patients.MethodsIn this study, three different methods, including Univariate Cox regression, Lasso regression, and Randomforest regression were used to screen the independent factors affecting the prognosis of esophageal squamous cell carcinoma and construct a nomogram prognostic model. The accuracy of the model was verified by comparing with TNM staging system and the reliability of the model was verified by internal cross validation.ResultsPreoperative neutrophil lymphocyte ratio(preNLR), N-stage, p53 level and tumor diameter were selected to construct the new prognostic model. Patients with higher preNLR level, higher N-stage, lower p53 level and larger tumor diameter had worse OS. The results of C-index, Decision Curve Analysis (DCA), and integrated discrimination improvement (IDI) showed that the new prognostic model has a better prediction than the TNM staging system.ConclusionThe accuracy and reliability of the nomogram prognostic model were higher than that of TNM staging system. It can effectively predict individual OS and provide theoretical basis for clinical decision making.https://www.frontiersin.org/articles/10.3389/fonc.2023.1007859/fullesophageal squamous cell carcinomaprognostic modelnomogramTNM staging systemCox regression |
| spellingShingle | Bowen Shi Chunguang Li Wenqiang Xia Yuerong Chen Hezhong Chen Li Xu Ming Qin Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer Frontiers in Oncology esophageal squamous cell carcinoma prognostic model nomogram TNM staging system Cox regression |
| title | Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| title_full | Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| title_fullStr | Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| title_full_unstemmed | Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| title_short | Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| title_sort | construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer |
| topic | esophageal squamous cell carcinoma prognostic model nomogram TNM staging system Cox regression |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1007859/full |
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