A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database
IntroductionKnowledge of the association between isolated tumor cells (ITCs) in breast cancer patients and the outcome is very limited. We aimed to determine the prognostic value of axillary lymph node ITCs for T1N0M0 female breast cancer (FBC) patients.MethodsData for T1N0M0 FBC patients staged ITC...
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| Language: | English |
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Frontiers Media S.A.
2020-09-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2020.572316/full |
| _version_ | 1818554485353480192 |
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| author | Yijun Li Yijun Li Huimin Zhang Wei Zhang Yu Ren Yan Qiao Kunlong Li Kunlong Li Heyan Chen Heyan Chen Shengyu Pu Shengyu Pu Jianjun He Can Zhou |
| author_facet | Yijun Li Yijun Li Huimin Zhang Wei Zhang Yu Ren Yan Qiao Kunlong Li Kunlong Li Heyan Chen Heyan Chen Shengyu Pu Shengyu Pu Jianjun He Can Zhou |
| author_sort | Yijun Li |
| collection | DOAJ |
| description | IntroductionKnowledge of the association between isolated tumor cells (ITCs) in breast cancer patients and the outcome is very limited. We aimed to determine the prognostic value of axillary lymph node ITCs for T1N0M0 female breast cancer (FBC) patients.MethodsData for T1N0M0 FBC patients staged ITCs negative [pN0(i−)] and positive [pN0(i+)] were extracted from the Surveillance, Epidemiology, and End Results database from 2004 to 2015. Prognostic predictors were identified by Kaplan–Meier analysis, competing risk model, and Fine–Gray multivariable regression model.ResultsA total of 94,599 subjects were included, 88,632 of whom were staged at pN0(i−) and 5,967 were pN0(i+). Patients staged pN0(i+) had worse breast cancer-specific survival (BCSS) [hazard ratio (HR): 1.298, 95% CI = 1.069–1.576, P = 0.003] and higher breast cancer-specific death (BCSD) rate (Gray’s test, P = 0.002) than pN0(i−) group. In the Fine–Gray multivariable regression analysis, the pN0(i+) group had higher BCSD rate (HR: 1.321, 95% CI = 1.109–1.575, P = 0.002) than pN0(i−) group. In subgroup analyses, no significant difference in BCSD was shown between the chemotherapy and non-chemotherapy subgroup (Gray’s test, P = 0.069) or radiotherapy and non-radiotherapy subgroup (Gray’s test, P = 0.096).ConclusionITC was independently related to the increase of the BCSD rate and could be identified as a reliable survival predictor for T1N0M0 FBC patients. |
| first_indexed | 2024-12-12T09:40:17Z |
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| id | doaj.art-22698a59f3b949638c08ba88e6983eea |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-12T09:40:17Z |
| publishDate | 2020-09-01 |
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| series | Frontiers in Oncology |
| spelling | doaj.art-22698a59f3b949638c08ba88e6983eea2022-12-22T00:28:35ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-09-011010.3389/fonc.2020.572316572316A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results DatabaseYijun Li0Yijun Li1Huimin Zhang2Wei Zhang3Yu Ren4Yan Qiao5Kunlong Li6Kunlong Li7Heyan Chen8Heyan Chen9Shengyu Pu10Shengyu Pu11Jianjun He12Can Zhou13Department of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaSchool of Medicine, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaSchool of Medicine, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaSchool of Medicine, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaSchool of Medicine, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Breast Surgery, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaIntroductionKnowledge of the association between isolated tumor cells (ITCs) in breast cancer patients and the outcome is very limited. We aimed to determine the prognostic value of axillary lymph node ITCs for T1N0M0 female breast cancer (FBC) patients.MethodsData for T1N0M0 FBC patients staged ITCs negative [pN0(i−)] and positive [pN0(i+)] were extracted from the Surveillance, Epidemiology, and End Results database from 2004 to 2015. Prognostic predictors were identified by Kaplan–Meier analysis, competing risk model, and Fine–Gray multivariable regression model.ResultsA total of 94,599 subjects were included, 88,632 of whom were staged at pN0(i−) and 5,967 were pN0(i+). Patients staged pN0(i+) had worse breast cancer-specific survival (BCSS) [hazard ratio (HR): 1.298, 95% CI = 1.069–1.576, P = 0.003] and higher breast cancer-specific death (BCSD) rate (Gray’s test, P = 0.002) than pN0(i−) group. In the Fine–Gray multivariable regression analysis, the pN0(i+) group had higher BCSD rate (HR: 1.321, 95% CI = 1.109–1.575, P = 0.002) than pN0(i−) group. In subgroup analyses, no significant difference in BCSD was shown between the chemotherapy and non-chemotherapy subgroup (Gray’s test, P = 0.069) or radiotherapy and non-radiotherapy subgroup (Gray’s test, P = 0.096).ConclusionITC was independently related to the increase of the BCSD rate and could be identified as a reliable survival predictor for T1N0M0 FBC patients.https://www.frontiersin.org/article/10.3389/fonc.2020.572316/fullcompeting risk modelSEER databasefemale breast cancersurvival analysisisolated tumor cells |
| spellingShingle | Yijun Li Yijun Li Huimin Zhang Wei Zhang Yu Ren Yan Qiao Kunlong Li Kunlong Li Heyan Chen Heyan Chen Shengyu Pu Shengyu Pu Jianjun He Can Zhou A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database Frontiers in Oncology competing risk model SEER database female breast cancer survival analysis isolated tumor cells |
| title | A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database |
| title_full | A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database |
| title_fullStr | A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database |
| title_full_unstemmed | A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database |
| title_short | A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database |
| title_sort | competing risk analysis model to determine the prognostic value of isolated tumor cells in axillary lymph nodes for t1n0m0 breast cancer patients based on the surveillance epidemiology and end results database |
| topic | competing risk model SEER database female breast cancer survival analysis isolated tumor cells |
| url | https://www.frontiersin.org/article/10.3389/fonc.2020.572316/full |
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