scholarly journals Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer

2010 ◽  
Vol 1 (5) ◽  
pp. 747-754 ◽  
Author(s):  
REIKI NISHIMURA ◽  
TOMOFUMI OSAKO ◽  
YASUHIRO OKUMURA ◽  
MITSUHIRO HAYASHI ◽  
YASUO TOYOZUMI ◽  
...  
2021 ◽  
Vol 11 (5) ◽  
pp. 392-400
Author(s):  
Fajar Lamhot Gultom ◽  
Marliana Nurprilinda ◽  
Ryani Nur Cahyaning Hutami

Immunohistochemistry examination (IHC) is one of the additional tests to diagnose and determine breast cancer subtype. IHC examination is a method to check intracellular protein using a monoclonal and polyclonal antibody to detect the antigen in tissue. IHC examination determined by hormone receptor markers (ER and PR), HER-2/Neu expression, and apoptotic and proliferation markers (Ki-67 and p53) can be used to determine therapy and prognosis. This study aims to determine the hormonal status of breast cancer patient at Siloam Semanggi Hospital in 2018, in the form of age, gender, pathology diagnose, and the result of IHC (ER, PR, HER2, and Ki-67). This study is a retrospective descriptive study using pathological anatomy laboratory results of breast cancer in MRCCC Siloam Semanggi Hospital and 208 patients following inclusion and exclusion criteria. The result obtained is that the age group with the highest frequency is 50-59 years, with 34.1%. The highest frequency by gender is a woman with 99.5%. Carcinoma mammae NST with grade II and III was found in 38.0% of patients. The hormonal receptor with ER and PR positive was found in 51.0% of patients. HER2 expression negative was found in 56.7% of patients. High proliferation Ki-67 was found in 82.7% of patients. Luminal B with HER2 negative subtype was found in 32.2% of patients. Patients in 50-59 years with Luminal B with HER2 negative subtype was found in 26 patients. Patients in carcinoma mammae NST with grade II with Luminal B with HER2 negative subtype was found in 27 patients. Keywords: Breast cancer, pathologic anatomy, immunohistochemistry, breast cancer subtype


2018 ◽  
Vol 18 (2) ◽  
pp. e219-e229 ◽  
Author(s):  
Naoki Hayashi ◽  
Yuko Takahashi ◽  
Naoko Matsuda ◽  
Hiroko Tsunoda ◽  
Atsushi Yoshida ◽  
...  

2014 ◽  
Vol 29 (1) ◽  
pp. e1-e7 ◽  
Author(s):  
Yanzhi Zhang ◽  
Peng Wang ◽  
Mumu Shi ◽  
Hironobu Sasano ◽  
Monica S.M. Chan ◽  
...  

Background Disparities of biomarkers’ expression in breast cancer across different races and ethnicities have been well documented. Proline, glutamic acid, and leucine-rich protein 1 (PELP1), a novel ER coregulator, has been considered as a promising biomarker of breast cancer prognosis; however, the pattern of PELP1 expression in Chinese women with breast cancer has never been investigated. This study aims to provide useful reference on possible racial or ethnic differences of PELP1 expression in breast cancer by exploring the pattern of PELP1 expression in Chinese women with primary breast cancer. Methods The expression of PELP1 in primary breast cancer samples from 130 Chinese female patients was detected by immunohistochemistry and correlated to other clinicopathological parameters; for comparison, the expression of PELP1 in 26 benign breast fibroadenomas was also examined. Results The overall value of the PELP1 H-score in breast cancer was significantly higher than that in breast fibroadenoma (p<0.001). In our breast cancer patients, the ER/HER-2-positive group had significantly higher PELP1 H-scores than their negative counterparts (p=0.003 for ER and p=0.022 for HER-2); the Ki-67-high group also showed significantly higher PELP1 H-scores than the Ki-67-low group (p=0.008). No significant association between PELP1 H-scores and other clinicopathological parameters was found. Finally, the PELP1 H-score in breast cancers of the luminal B subtype was significantly higher than that in the triple negative subtype (p=0.002). Conclusion Overexpression of PELP1 in Chinese women with primary breast cancer appears to be associated with biomarkers of poor outcome; these results are similar to other reports based on Western populations.


2017 ◽  
Vol 166 (1) ◽  
pp. 195-195 ◽  
Author(s):  
María Elena Martínez ◽  
Scarlett L. Gomez ◽  
Li Tao ◽  
Rosemary Cress ◽  
Danielle Rodriguez ◽  
...  

2020 ◽  
Vol 11 (8) ◽  
Author(s):  
Minmin Fan ◽  
Jingwei Chen ◽  
Jian Gao ◽  
Wenwen Xue ◽  
Yixuan Wang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document