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
Hlavní autori: Hwang, Ki-Tae, Kim, Jongjin, Jung, Jiwoong, Chang, Ji Hyun, Chai, Young Jun, Oh, So Won, Oh, Sohee, Kim, Young A, Park, Sung Bae, Hwang, Kyu Ri
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 15.03.2019
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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.
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
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  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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Copyright 2018 American Association for Cancer Research.
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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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