Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database
IntroductionPrimary intracranial malignant lymphoma (PIML) is a rare form of lymphoma that most often occurs in the brain and has an extremely low 5-year survival rate. Although chemotherapy and radiotherapy are widely used in the clinical management of PIML, the choice of treatment regimen and the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1055046/full |
| _version_ | 1797956935907016704 |
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| author | Ziyue Yang Ziyue Yang Zhenfen Li Zhenfen Li Chunmeng Fu Chunmeng Fu Yuanyuan Zhu Yuanyuan Zhu Ying Lin Ying Deng Ning Li Fang Peng Fang Peng |
| author_facet | Ziyue Yang Ziyue Yang Zhenfen Li Zhenfen Li Chunmeng Fu Chunmeng Fu Yuanyuan Zhu Yuanyuan Zhu Ying Lin Ying Deng Ning Li Fang Peng Fang Peng |
| author_sort | Ziyue Yang |
| collection | DOAJ |
| description | IntroductionPrimary intracranial malignant lymphoma (PIML) is a rare form of lymphoma that most often occurs in the brain and has an extremely low 5-year survival rate. Although chemotherapy and radiotherapy are widely used in the clinical management of PIML, the choice of treatment regimen and the actual circumstances of patients remain challenges when assessing survival rates in different patients.MethodsConsidering this, we obtained clinical treatment and survival information from the Surveillance, Epidemiology, and End Results database (SEER) on patients with lymphoma, the primary site of which was the brain, and performed statistical analyses of the demographic characteristics. Survival analyses were performed using the Kaplan–Meier method, and univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent prognostic factors.ResultWe identified age, pathology, the Ann Arbor stage, and treatment as the risk factors affecting patient prognosis. The areas under the curve (AUCs) for overall survival at 1, 3, and 5 years were 0.8, 0.818, and 0.81, respectively. The AUCs for cancer-specific survival at 1, 3, and 5 years were 0.8, 0.79, and 0.79. The prediction ability in the development and verification cohorts was in good agreement with the actual values, while we plotted the clinical decision curves for the model, suggesting that the nomogram can provide benefits for clinical decision-making.ConclusionOur model provides a prognostic guide for patients with PIML and a reliable basis for clinicians. |
| first_indexed | 2024-04-10T23:56:31Z |
| format | Article |
| id | doaj.art-35e812cf70a943f8ab9565c4f1d061eb |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-10T23:56:31Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-35e812cf70a943f8ab9565c4f1d061eb2023-01-10T12:32:27ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-01-011210.3389/fonc.2022.10550461055046Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER databaseZiyue Yang0Ziyue Yang1Zhenfen Li2Zhenfen Li3Chunmeng Fu4Chunmeng Fu5Yuanyuan Zhu6Yuanyuan Zhu7Ying Lin8Ying Deng9Ning Li10Fang Peng11Fang Peng12Department of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaNational Health Commission (NHC) key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaNational Health Commission (NHC) key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaNational Health Commission (NHC) key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaNational Health Commission (NHC) key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Scientific Research Management, Ningxiang People’s Hospital, Hunan University Traditional Chinese Medicine, Ningxiang, Changsha, Hunan, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaNational Health Commission (NHC) key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaIntroductionPrimary intracranial malignant lymphoma (PIML) is a rare form of lymphoma that most often occurs in the brain and has an extremely low 5-year survival rate. Although chemotherapy and radiotherapy are widely used in the clinical management of PIML, the choice of treatment regimen and the actual circumstances of patients remain challenges when assessing survival rates in different patients.MethodsConsidering this, we obtained clinical treatment and survival information from the Surveillance, Epidemiology, and End Results database (SEER) on patients with lymphoma, the primary site of which was the brain, and performed statistical analyses of the demographic characteristics. Survival analyses were performed using the Kaplan–Meier method, and univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent prognostic factors.ResultWe identified age, pathology, the Ann Arbor stage, and treatment as the risk factors affecting patient prognosis. The areas under the curve (AUCs) for overall survival at 1, 3, and 5 years were 0.8, 0.818, and 0.81, respectively. The AUCs for cancer-specific survival at 1, 3, and 5 years were 0.8, 0.79, and 0.79. The prediction ability in the development and verification cohorts was in good agreement with the actual values, while we plotted the clinical decision curves for the model, suggesting that the nomogram can provide benefits for clinical decision-making.ConclusionOur model provides a prognostic guide for patients with PIML and a reliable basis for clinicians.https://www.frontiersin.org/articles/10.3389/fonc.2022.1055046/fullprimary intracranial malignant lymphomaneurological tumorsdiffuse large B lymphomaSEER databasenomogram |
| spellingShingle | Ziyue Yang Ziyue Yang Zhenfen Li Zhenfen Li Chunmeng Fu Chunmeng Fu Yuanyuan Zhu Yuanyuan Zhu Ying Lin Ying Deng Ning Li Fang Peng Fang Peng Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database Frontiers in Oncology primary intracranial malignant lymphoma neurological tumors diffuse large B lymphoma SEER database nomogram |
| title | Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database |
| title_full | Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database |
| title_fullStr | Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database |
| title_full_unstemmed | Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database |
| title_short | Development and validation of a nomogram to predict overall survival and cancer-specific survival in patients with primary intracranial malignant lymphoma: A Retrospective study based on the SEER database |
| title_sort | development and validation of a nomogram to predict overall survival and cancer specific survival in patients with primary intracranial malignant lymphoma a retrospective study based on the seer database |
| topic | primary intracranial malignant lymphoma neurological tumors diffuse large B lymphoma SEER database nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1055046/full |
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