Clinical Validation of BCT Scores with prognostic factors in hormone receptor-positive, her2-negative early breast cancer

Jeeyeon Lee; Won Hwa Kim; Jin Hyang Jung; Wan Wook Kim; Chan Sub Park; Ryu Kyung Lee; Jee Young Park; Yee Soo Chae; Soo Jung Lee; Hye Jung Kim; Ji Young Park; Ho Yong Park

doi:10.21873/invivo.11714

Clinical Validation of BCT Scores with prognostic factors in hormone receptor-positive, her2-negative early breast cancer

Jeeyeon Lee
, Won Hwa Kim
, Jin Hyang Jung
, Wan Wook Kim
, Chan Sub Park
, Ryu Kyung Lee
, Jee Young Park
, Yee Soo Chae
, Soo Jung Lee
, Hye Jung Kim
, Ji Young Park
, Ho Yong Park

Department of Medicine

Kyungpook National University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Background/Aim: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. Materials and Methods: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. Results: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. Conclusion: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer.

Original language	English
Pages (from-to)	2133-2139
Number of pages	7
Journal	In Vivo
Volume	33
Issue number	6
DOIs	https://doi.org/10.21873/invivo.11714
State	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

BCT score
Breast
Carcinoma
Prognosis

Access to Document

10.21873/invivo.11714

Cite this

@article{51b7544e6bd5400188a63700605a2225,

title = "Clinical Validation of BCT Scores with prognostic factors in hormone receptor-positive, her2-negative early breast cancer",

abstract = "Background/Aim: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. Materials and Methods: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. Results: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. Conclusion: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer.",

keywords = "BCT score, Breast, Carcinoma, Prognosis",

author = "Jeeyeon Lee and Kim, \{Won Hwa\} and Jung, \{Jin Hyang\} and Kim, \{Wan Wook\} and Park, \{Chan Sub\} and Lee, \{Ryu Kyung\} and Park, \{Jee Young\} and Chae, \{Yee Soo\} and Lee, \{Soo Jung\} and Kim, \{Hye Jung\} and Park, \{Ji Young\} and Park, \{Ho Yong\}",

year = "2019",

doi = "10.21873/invivo.11714",

language = "English",

volume = "33",

pages = "2133--2139",

journal = "In Vivo",

issn = "0258-851X",

publisher = "International Institute of Anticancer Research",

number = "6",

}

TY - JOUR

T1 - Clinical Validation of BCT Scores with prognostic factors in hormone receptor-positive, her2-negative early breast cancer

AU - Lee, Jeeyeon

AU - Kim, Won Hwa

AU - Jung, Jin Hyang

AU - Kim, Wan Wook

AU - Park, Chan Sub

AU - Lee, Ryu Kyung

AU - Park, Jee Young

AU - Chae, Yee Soo

AU - Lee, Soo Jung

AU - Kim, Hye Jung

AU - Park, Ji Young

AU - Park, Ho Yong

PY - 2019

Y1 - 2019

N2 - Background/Aim: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. Materials and Methods: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. Results: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. Conclusion: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer.

AB - Background/Aim: Multigene profiling assays provide strong evidence for predicting the prognosis of breast cancer. In this study, we aimed to evaluate the clinical validation of the BCT score with various prognostic factors. Materials and Methods: A total of 133 cases of hormone receptor-positive, cT1N0 breast cancers were analyzed. Risk stratification using the BCT score (Low, n=105; High, n=28) was analyzed with Ki67 index, p53 mutation, Immunohistochemistry 4 (IHC4) score, Nottingham Prognostic Index (NPI) and online PREDICT. Results: Ki67 index and NPI showed strong correlations with risk stratification based on BCT scores. Although the IHC4 score and online PREDICT were not associated with BCT score, there was a significant tendency of association with the online PREDICT results as the time of overall survival was increasing. Conclusion: Risk classification based on BCT scores might have a clinical significance as a prognostic marker in hormone receptor-positive, HER2-negative, early breast cancer.

KW - BCT score

KW - Breast

KW - Carcinoma

KW - Prognosis

UR - https://www.scopus.com/pages/publications/85074210768

U2 - 10.21873/invivo.11714

DO - 10.21873/invivo.11714

M3 - Article

C2 - 31662548

AN - SCOPUS:85074210768

SN - 0258-851X

VL - 33

SP - 2133

EP - 2139

JO - In Vivo

JF - In Vivo

IS - 6

ER -

Clinical Validation of BCT Scores with prognostic factors in hormone receptor-positive, her2-negative early breast cancer

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this