Literature DB >> 25234844

Estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status in invasive breast cancer: a 3,198 cases study at National Cancer Center, China.

Xinxin Zhu1, Jianming Ying, Fang Wang, Jie Wang, Hongying Yang.   

Abstract

Smears from paraffin sections from 3,198 cases of surgical resection mammary carcinomas were assessed immunohistochemically for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expressions in National Cancer Center (NCC), China, to explore the correlation of these markers to each other, to tumor histologic subtype, and to explore breast cancer four molecular subtypes clinicopathological characteristics. Pathology material of surgical resection patients presenting to NCC during July 1, 2010-July 1, 2012 were reviewed for patients' age, tumor size, subtype, grade, and ER, PR, HER2 immunohistochemistry (IHC) status. For HER2 IHC 2+ score cases, fluorescence in situ hybridization was used, as the 2007 American society of clinical oncology/college of American pathologists guidelines. There were 3,198 cases, with a median age of 51 years, a mean tumor size of 2.1 cm, and 42.3 % lymph node positivity. Of all cases, 2,506 (78.4 %) were ER+, 2,548 (79.7 %) were PR+, and 816 (25.5 %) were HER2+. Among the four molecular subtypes of breast cancer, luminal A were the majority accounting for 65.3 %, and triple-negative breast cancer accounted for 9.2 %. ER, PR, and HER2 status showed a direct correlation to tumor onset age, tumor type, and grade of ductal carcinoma. Meanwhile the four subtypes of breast cancer differed from onset age, tumor size, lymph node metastasis, and tumor grade. This study was an important documentation of Chinese breast cancer patients and the report would serve as a baseline for other future studies.

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Year:  2014        PMID: 25234844     DOI: 10.1007/s10549-014-3136-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  15 in total

1.  MicroRNA-145 functions as a tumor suppressor by targeting matrix metalloproteinase 11 and Rab GTPase family 27a in triple-negative breast cancer.

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Journal:  Cancer Gene Ther       Date:  2016-07-01       Impact factor: 5.987

2.  Prevalence of Molecular Subtypes of Breast Cancer: A Single Institutional Experience of 2062 Patients.

Authors:  Prakash Pandit; Roshankumar Patil; Vijay Palwe; Sucheta Gandhe; Rahul Patil; Rajnish Nagarkar
Journal:  Eur J Breast Health       Date:  2019-11-20

3.  Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision.

Authors:  Lei Zhang; Jing Li; Yun Xiao; Hao Cui; Guoqing Du; Ying Wang; Ziyao Li; Tong Wu; Xia Li; Jiawei Tian
Journal:  Sci Rep       Date:  2015-06-05       Impact factor: 4.379

4.  Prognostic parameters of luminal A and luminal B intrinsic breast cancer subtypes of Pakistani patients.

Authors:  Atif Ali Hashmi; Saher Aijaz; Saadia Mehmood Khan; Raeesa Mahboob; Muhammad Irfan; Narisa Iftikhar Zafar; Mariam Nisar; Maham Siddiqui; Muhammad Muzzammil Edhi; Naveen Faridi; Amir Khan
Journal:  World J Surg Oncol       Date:  2018-01-02       Impact factor: 2.754

5.  A pathways-based prediction model for classifying breast cancer subtypes.

Authors:  Tong Wu; Yunfeng Wang; Ronghui Jiang; Xinliang Lu; Jiawei Tian
Journal:  Oncotarget       Date:  2017-06-17

Review 6.  Improving accuracy of breast cancer biomarker testing in India.

Authors:  Tanuja Shet
Journal:  Indian J Med Res       Date:  2017-10       Impact factor: 2.375

7.  Development and external validation of a breast cancer absolute risk prediction model in Chinese population.

Authors:  Yuting Han; Jun Lv; Canqing Yu; Yu Guo; Zheng Bian; Yizhen Hu; Ling Yang; Yiping Chen; Huaidong Du; Fangyuan Zhao; Wanqing Wen; Xiao-Ou Shu; Yongbing Xiang; Yu-Tang Gao; Wei Zheng; Hong Guo; Peng Liang; Junshi Chen; Zhengming Chen; Dezheng Huo; Liming Li
Journal:  Breast Cancer Res       Date:  2021-05-29       Impact factor: 6.466

8.  Validity of St Gallen risk categories in prognostication of breast cancer patients in Southern Sri Lanka.

Authors:  Harshini Peiris; Lakmini Mudduwa; Neil Thalagala; Kamani Jayatilake
Journal:  BMC Womens Health       Date:  2018-01-31       Impact factor: 2.809

9.  Investigating a multigene prognostic assay based on significant pathways for Luminal A breast cancer through gene expression profile analysis.

Authors:  Haiyan Gao; Mei Yang; Xiaolan Zhang
Journal:  Oncol Lett       Date:  2018-02-02       Impact factor: 2.967

10.  Breast Cancer Subtype is Associated With Axillary Lymph Node Metastasis: A Retrospective Cohort Study.

Authors:  Zhen-Yu He; San-Gang Wu; Qi Yang; Jia-Yuan Sun; Feng-Yan Li; Qin Lin; Huan-Xin Lin
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

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