Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events
Abstract Objectives The aim of this study was to explore risk factors for the prognosis of lung cancer with simple brain metastasis (LCSBM) patients and to establish a prognostic predictive nomogram for LCSBM patients. Materials and methods Three thousand eight hundred and six cases of LCSBM were ex...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-04-01
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| Series: | BMC Pulmonary Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12890-022-01936-w |
| _version_ | 1811289578417422336 |
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| author | Jiaying Yuan Zhiyuan Cheng Jian Feng Chang Xu Yi Wang Zixiu Zou Qiang Li Shicheng Guo Li Jin Gengxi Jiang Yan Shang Junjie Wu |
| author_facet | Jiaying Yuan Zhiyuan Cheng Jian Feng Chang Xu Yi Wang Zixiu Zou Qiang Li Shicheng Guo Li Jin Gengxi Jiang Yan Shang Junjie Wu |
| author_sort | Jiaying Yuan |
| collection | DOAJ |
| description | Abstract Objectives The aim of this study was to explore risk factors for the prognosis of lung cancer with simple brain metastasis (LCSBM) patients and to establish a prognostic predictive nomogram for LCSBM patients. Materials and methods Three thousand eight hundred and six cases of LCSBM were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 using SEER Stat 8.3.5. Lung cancer patients only had brain metastasis with no other organ metastasis were defined as LCSBM patients. Prognostic factors of LCSBM were analyzed with log-rank method and Cox proportional hazards model. Independent risk and protective prognostic factors were used to construct nomogram with accelerated failure time model. C-index was used to evaluate the prediction effect of nomogram. Results and conclusion The younger patients (18–65 years old) accounted for 54.41%, while patients aged over 65 accounted for 45.59%.The ratio of male: female was 1:1. Lung cancer in the main bronchus, upper lobe, middle lobe and lower lobe were accounted for 4.91%, 62.80%, 4.47% and 27.82% respectively; and adenocarcinoma accounted for 57.83% of all lung cancer types. The overall median survival time was 12.2 months. Survival rates for 1-, 3- and 5-years were 28.2%, 8.7% and 4.7% respectively. We found female (HR = 0.81, 95% CI 0.75–0.87), the married (HR = 0.80; 95% CI 0.75–0.86), the White (HR = 0.90, 95% CI 0.84–0.95) and primary site (HR = 0.45, 95% CI 0.39–0.52) were independent protective factors while higher age (HR = 1.51, 95% CI 1.40–1.62), advanced grade (HR = 1.19, 95% CI 1.12–1.25) and advanced T stage (HR = 1.09, 95% CI 1.05–1.13) were independent risk prognostic factors affecting the survival of LCSBM patients. We constructed the nomogram with above independent factors, and the C-index value was 0.634 (95% CI 0.622–0.646). We developed a nomogram with seven significant LCSBM independent prognostic factors to provide prognosis prediction. |
| first_indexed | 2024-04-13T03:58:06Z |
| format | Article |
| id | doaj.art-d2d7fdb653844d2fa88b055588322378 |
| institution | Directory Open Access Journal |
| issn | 1471-2466 |
| language | English |
| last_indexed | 2024-04-13T03:58:06Z |
| publishDate | 2022-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pulmonary Medicine |
| spelling | doaj.art-d2d7fdb653844d2fa88b0555883223782022-12-22T03:03:35ZengBMCBMC Pulmonary Medicine1471-24662022-04-0122111010.1186/s12890-022-01936-wPrognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real eventsJiaying Yuan0Zhiyuan Cheng1Jian Feng2Chang Xu3Yi Wang4Zixiu Zou5Qiang Li6Shicheng Guo7Li Jin8Gengxi Jiang9Yan Shang10Junjie Wu11Department of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, the First Affiliated Hospital of Naval Medical UniversityDepartment of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong UniversityClinical College of Xiangnan UniversitySchool of Life Sciences, Fudan UniversitySchool of Life Sciences, Fudan UniversityDepartment of Respiratory and Critical Care Medicine, Shanghai East Hospital, Tongji UniversitySchool of Life Sciences, Fudan UniversitySchool of Life Sciences, Fudan UniversityDepartment of Thoracic Surgery, Shanghai Changhai Hospital, the First Affiliated Hospital of Naval Military Medical UniversityDepartment of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, the First Affiliated Hospital of Naval Medical UniversityDepartment of Pulmonary and Critical Care Medicine, Fudan UniversityAbstract Objectives The aim of this study was to explore risk factors for the prognosis of lung cancer with simple brain metastasis (LCSBM) patients and to establish a prognostic predictive nomogram for LCSBM patients. Materials and methods Three thousand eight hundred and six cases of LCSBM were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 using SEER Stat 8.3.5. Lung cancer patients only had brain metastasis with no other organ metastasis were defined as LCSBM patients. Prognostic factors of LCSBM were analyzed with log-rank method and Cox proportional hazards model. Independent risk and protective prognostic factors were used to construct nomogram with accelerated failure time model. C-index was used to evaluate the prediction effect of nomogram. Results and conclusion The younger patients (18–65 years old) accounted for 54.41%, while patients aged over 65 accounted for 45.59%.The ratio of male: female was 1:1. Lung cancer in the main bronchus, upper lobe, middle lobe and lower lobe were accounted for 4.91%, 62.80%, 4.47% and 27.82% respectively; and adenocarcinoma accounted for 57.83% of all lung cancer types. The overall median survival time was 12.2 months. Survival rates for 1-, 3- and 5-years were 28.2%, 8.7% and 4.7% respectively. We found female (HR = 0.81, 95% CI 0.75–0.87), the married (HR = 0.80; 95% CI 0.75–0.86), the White (HR = 0.90, 95% CI 0.84–0.95) and primary site (HR = 0.45, 95% CI 0.39–0.52) were independent protective factors while higher age (HR = 1.51, 95% CI 1.40–1.62), advanced grade (HR = 1.19, 95% CI 1.12–1.25) and advanced T stage (HR = 1.09, 95% CI 1.05–1.13) were independent risk prognostic factors affecting the survival of LCSBM patients. We constructed the nomogram with above independent factors, and the C-index value was 0.634 (95% CI 0.622–0.646). We developed a nomogram with seven significant LCSBM independent prognostic factors to provide prognosis prediction.https://doi.org/10.1186/s12890-022-01936-wLung cancer with simple brain metastasisPrognostic analysisSEER databaseNomogram |
| spellingShingle | Jiaying Yuan Zhiyuan Cheng Jian Feng Chang Xu Yi Wang Zixiu Zou Qiang Li Shicheng Guo Li Jin Gengxi Jiang Yan Shang Junjie Wu Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events BMC Pulmonary Medicine Lung cancer with simple brain metastasis Prognostic analysis SEER database Nomogram |
| title | Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events |
| title_full | Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events |
| title_fullStr | Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events |
| title_full_unstemmed | Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events |
| title_short | Prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models: a study based on real events |
| title_sort | prognosis of lung cancer with simple brain metastasis patients and establishment of survival prediction models a study based on real events |
| topic | Lung cancer with simple brain metastasis Prognostic analysis SEER database Nomogram |
| url | https://doi.org/10.1186/s12890-022-01936-w |
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