Literature DB >> 31190183

Hormone receptor, human epidermal growth factor receptor-2, and Ki-67 status in primary breast cancer and corresponding recurrences or synchronous axillary lymph node metastases.

Kosho Yamanouchi1, Sayaka Kuba2, Susumu Eguchi2.   

Abstract

The therapeutic strategy for breast cancer is determined by the surrogate subtype, which is defined by biomarkers, such as estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor-2 (HER2), and Ki-67. In previous reports, the rate of discordance in ER, PgR, and HER2 between primary breast cancer and recurrent lesions or synchronous axillary lymph node metastasis was 15-25, 25-40, and 5-25 or 7-50, 10-50, and 3-30%, respectively. Overall, hormone receptors tended to weaken during the metastatic process, while patterns of HER2 were not uniform. Regarding the Ki-67 labeling index, an increase in metastatic lesions compared with primary lesions was the dominant pattern, suggesting that aggressive subclones with high proliferative potential form metastases. The loss of expression of hormone receptor or an increase in the Ki-67 labeling index in metastasis seemed to be associated with a poor prognosis. However, most previous studies did not report the background characteristics of patients, or they included subjects with varied characteristics, including those on systemic therapy, and were based on relatively small populations; therefore, definitive conclusions could not be drawn. Future studies should explore how to select therapies according to the biomarkers in primary breast cancer and/or its metastasis.

Entities:  

Keywords:  Biomarker; Breast cancer; Discordance; Metastasis

Mesh:

Substances:

Year:  2019        PMID: 31190183     DOI: 10.1007/s00595-019-01831-8

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  3 in total

1.  Receptor conversion impacts outcomes of different molecular subtypes of primary breast cancer.

Authors:  Weipeng Zhao; Linlin Sun; Guolei Dong; Xiaorui Wang; Yan Jia; Zhongsheng Tong
Journal:  Ther Adv Med Oncol       Date:  2021-05-06       Impact factor: 8.168

2.  PD-1 and PD-L1 correlated gene expression profiles and their association with clinical outcomes of breast cancer.

Authors:  Cui Jiang; SunRun Cao; Na Li; Lei Jiang; Tao Sun
Journal:  Cancer Cell Int       Date:  2019-09-09       Impact factor: 5.722

3.  Prognosis of asymptomatic versus symptomatic metastatic breast cancer: a multicenter retrospective study.

Authors:  Sayaka Kuba; Shigeto Maeda; Shigeki Minami; Hiroki Moriuchi; Aya Tanaka; Momoko Akashi; Michi Morita; Chika Sakimura; Masayuki Baba; Ryota Otsubo; Megumi Matsumoto; Kosho Yamanouchi; Hiroshi Yano; Kengo Kanetaka; Takeshi Nagayasu; Susumu Eguchi
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

  3 in total

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