Impact of Breast Cancer Subtypes on Prognosis of Women with Operable Invasive Breast Cancer: A Population-based Study Using SEER Database
To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer. Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of...
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| Vydané v: | Clinical cancer research Ročník 25; číslo 6; s. 1970 |
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| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
15.03.2019
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| ISSN: | 1078-0432, 1557-3265, 1557-3265 |
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| Abstract | To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.
Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of hormone receptor (HRc) and HER2: HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), and HRc(-)/HER2(-).
Proportions of HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), HRc(-)/HER2(-), and unknown subtype were 70.3%, 9.4%, 3.9%, 10.4%, and 6.0%, respectively. HRc(+)/HER2(-) showed the highest 5-year breast cancer-specific survival (BCSS) rate (95.5%), followed by HRc(+)/HER2(+) (94.1%), HRc(-)/HER2(+) (89.3%), and HRc(-)/HER2(-) (83.1%). HRc(+)/HER2(-) and HRc(+)/HER2(+) showed higher 5-year overall survival (OS) rates (88.4% and 88.2%, respectively) than HRc(-)/HER2(+) and HRc(-)/HER2(-) (83.9% and 76.5%, respectively). HRc(-)/HER2(-) showed the worst BCSS irrespective of race, age, or stage. Although proportions of HRc(-)/HER2(-) in the subgroup with negative event regarding BCSS and OS were 10.4% and 10.2%, respectively, they were 34.2% and 22.7%, respectively, in the subgroup with positive event. Subtype was a significant factor in both univariable and multivariable analyses regarding both BCSS and OS (all
< 0.001).
Breast cancer subtype was a significant independent prognostic factor regarding both BCSS and OS in multivariable analyses. HRc(+) subtypes showed better prognosis compared with HRc(-) subtypes regarding both BCSS and OS. HRc(-)/HER2(+) showed better prognosis than HRc(-)/HER2(-) but worse prognosis than HRc(+) subtypes regarding both BCSS and OS. The triple-negative subtype showed the worst BCSS compared with the other subtypes irrespective of race, age, or stage. |
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| AbstractList | To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.
Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of hormone receptor (HRc) and HER2: HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), and HRc(-)/HER2(-).
Proportions of HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), HRc(-)/HER2(-), and unknown subtype were 70.3%, 9.4%, 3.9%, 10.4%, and 6.0%, respectively. HRc(+)/HER2(-) showed the highest 5-year breast cancer-specific survival (BCSS) rate (95.5%), followed by HRc(+)/HER2(+) (94.1%), HRc(-)/HER2(+) (89.3%), and HRc(-)/HER2(-) (83.1%). HRc(+)/HER2(-) and HRc(+)/HER2(+) showed higher 5-year overall survival (OS) rates (88.4% and 88.2%, respectively) than HRc(-)/HER2(+) and HRc(-)/HER2(-) (83.9% and 76.5%, respectively). HRc(-)/HER2(-) showed the worst BCSS irrespective of race, age, or stage. Although proportions of HRc(-)/HER2(-) in the subgroup with negative event regarding BCSS and OS were 10.4% and 10.2%, respectively, they were 34.2% and 22.7%, respectively, in the subgroup with positive event. Subtype was a significant factor in both univariable and multivariable analyses regarding both BCSS and OS (all
< 0.001).
Breast cancer subtype was a significant independent prognostic factor regarding both BCSS and OS in multivariable analyses. HRc(+) subtypes showed better prognosis compared with HRc(-) subtypes regarding both BCSS and OS. HRc(-)/HER2(+) showed better prognosis than HRc(-)/HER2(-) but worse prognosis than HRc(+) subtypes regarding both BCSS and OS. The triple-negative subtype showed the worst BCSS compared with the other subtypes irrespective of race, age, or stage. To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.Experimental Design: Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of hormone receptor (HRc) and HER2: HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), and HRc(-)/HER2(-).PURPOSETo determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.Experimental Design: Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of hormone receptor (HRc) and HER2: HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), and HRc(-)/HER2(-).Proportions of HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), HRc(-)/HER2(-), and unknown subtype were 70.3%, 9.4%, 3.9%, 10.4%, and 6.0%, respectively. HRc(+)/HER2(-) showed the highest 5-year breast cancer-specific survival (BCSS) rate (95.5%), followed by HRc(+)/HER2(+) (94.1%), HRc(-)/HER2(+) (89.3%), and HRc(-)/HER2(-) (83.1%). HRc(+)/HER2(-) and HRc(+)/HER2(+) showed higher 5-year overall survival (OS) rates (88.4% and 88.2%, respectively) than HRc(-)/HER2(+) and HRc(-)/HER2(-) (83.9% and 76.5%, respectively). HRc(-)/HER2(-) showed the worst BCSS irrespective of race, age, or stage. Although proportions of HRc(-)/HER2(-) in the subgroup with negative event regarding BCSS and OS were 10.4% and 10.2%, respectively, they were 34.2% and 22.7%, respectively, in the subgroup with positive event. Subtype was a significant factor in both univariable and multivariable analyses regarding both BCSS and OS (all P < 0.001).RESULTSProportions of HRc(+)/HER2(-), HRc(+)/HER2(+), HRc(-)/HER2(+), HRc(-)/HER2(-), and unknown subtype were 70.3%, 9.4%, 3.9%, 10.4%, and 6.0%, respectively. HRc(+)/HER2(-) showed the highest 5-year breast cancer-specific survival (BCSS) rate (95.5%), followed by HRc(+)/HER2(+) (94.1%), HRc(-)/HER2(+) (89.3%), and HRc(-)/HER2(-) (83.1%). HRc(+)/HER2(-) and HRc(+)/HER2(+) showed higher 5-year overall survival (OS) rates (88.4% and 88.2%, respectively) than HRc(-)/HER2(+) and HRc(-)/HER2(-) (83.9% and 76.5%, respectively). HRc(-)/HER2(-) showed the worst BCSS irrespective of race, age, or stage. Although proportions of HRc(-)/HER2(-) in the subgroup with negative event regarding BCSS and OS were 10.4% and 10.2%, respectively, they were 34.2% and 22.7%, respectively, in the subgroup with positive event. Subtype was a significant factor in both univariable and multivariable analyses regarding both BCSS and OS (all P < 0.001).Breast cancer subtype was a significant independent prognostic factor regarding both BCSS and OS in multivariable analyses. HRc(+) subtypes showed better prognosis compared with HRc(-) subtypes regarding both BCSS and OS. HRc(-)/HER2(+) showed better prognosis than HRc(-)/HER2(-) but worse prognosis than HRc(+) subtypes regarding both BCSS and OS. The triple-negative subtype showed the worst BCSS compared with the other subtypes irrespective of race, age, or stage.CONCLUSIONSBreast cancer subtype was a significant independent prognostic factor regarding both BCSS and OS in multivariable analyses. HRc(+) subtypes showed better prognosis compared with HRc(-) subtypes regarding both BCSS and OS. HRc(-)/HER2(+) showed better prognosis than HRc(-)/HER2(-) but worse prognosis than HRc(+) subtypes regarding both BCSS and OS. The triple-negative subtype showed the worst BCSS compared with the other subtypes irrespective of race, age, or stage. |
| Author | Park, Sung Bae Kim, Jongjin Oh, Sohee Chai, Young Jun Hwang, Ki-Tae Kim, Young A Jung, Jiwoong Chang, Ji Hyun Hwang, Kyu Ri Oh, So Won |
| Author_xml | – sequence: 1 givenname: Ki-Tae orcidid: 0000-0001-6597-3119 surname: Hwang fullname: Hwang, Ki-Tae email: kiterius@snu.ac.kr organization: Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea. kiterius@snu.ac.kr – sequence: 2 givenname: Jongjin surname: Kim fullname: Kim, Jongjin organization: Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 3 givenname: Jiwoong surname: Jung fullname: Jung, Jiwoong organization: Department of Surgery, Seoul Medical Center, Seoul, Republic of Korea – sequence: 4 givenname: Ji Hyun surname: Chang fullname: Chang, Ji Hyun organization: Department of Radiation Oncology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 5 givenname: Young Jun surname: Chai fullname: Chai, Young Jun organization: Department of Surgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 6 givenname: So Won orcidid: 0000-0002-3010-448X surname: Oh fullname: Oh, So Won organization: Department of Nuclear Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 7 givenname: Sohee orcidid: 0000-0002-3010-448X surname: Oh fullname: Oh, Sohee organization: Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 8 givenname: Young A surname: Kim fullname: Kim, Young A organization: Department of Pathology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 9 givenname: Sung Bae surname: Park fullname: Park, Sung Bae organization: Department of Neurosurgery, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea – sequence: 10 givenname: Kyu Ri orcidid: 0000-0001-6845-1260 surname: Hwang fullname: Hwang, Kyu Ri organization: Department of Obstetrics and Gynecology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30559169$$D View this record in MEDLINE/PubMed |
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| Snippet | To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.
Data of 321,958 patients from Surveillance,... To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer.Experimental Design: Data of 321,958 patients from... |
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| SubjectTerms | Adult Aged Breast - pathology Breast - surgery Breast Neoplasms - mortality Breast Neoplasms - pathology Breast Neoplasms - surgery Female Follow-Up Studies Humans Kaplan-Meier Estimate Mastectomy Middle Aged Neoplasm Invasiveness - pathology Prognosis Receptor, ErbB-2 - metabolism Receptors, Estrogen - metabolism Receptors, Progesterone - metabolism SEER Program - statistics & numerical data Survival Rate |
| Title | Impact of Breast Cancer Subtypes on Prognosis of Women with Operable Invasive Breast Cancer: A Population-based Study Using SEER Database |
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