Literature DB >> 21837481

A retrospective study of breast cancer subtypes: the risk of relapse and the relations with treatments.

Yahong Wang1, Quangui Yin, Qi Yu, Jing Zhang, Ziyu Liu, Shuling Wang, Shuhua Lv, Yun Niu.   

Abstract

Immunohistochemical markers are often used to classify breast cancer into subtypes that are biologically distinct and behave differently. The aim of this study was to estimate relapse for patients with the major subtypes of breast cancer as classified using immunohistochemical assay and to investigate the patterns of benefit from the therapies over the past years. The study population included primary, operable 2,118 breast cancer patients, all non-specific infiltrative ductal carcinoma, with the median age of 53.2 years. All patients underwent local and/or systemic treatments. The clinicopathological characteristics and clinical outcomes were retrospectively reviewed. The expression of estrogen receptor (ER), progesterone receptor, human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin 5/6 were analyzed by immunohistochemistry. All patients were classified into the following categories: luminal A, luminal B, HER2 overexpressing, basal-like, and unclassified subtypes. Ki-67 was detected in luminal A subtype. The median follow-up time was 67.9 months. Luminal A tumors had the lowest rate of relapse (12.7%, P < 0.001), while luminal B, HER2 overexpression, and basal-like subtypes were associated with an increased risk of relapse (15.7, 19.1, 20.9%). Molecular subtypes retained independent prognostic significance (P < 0.001). In luminal A subtype, adjunctive radiotherapy could decrease the risk of relapse (P = 0.005), Ki67 positive was a high-risk factor for relapse (P < 0.001), and adjuvant chemotherapies could reduce the relapse for the patients with risk factors (P < 0.001). Adjuvant hormone therapy was an effective treatment for ER-positive tumors (P < 0.001). Molecular subtypes of breast cancer could robustly identify the risk of recurrence and were significant in therapeutic decision making. The model combined subtype and clinical pathology was a significant improvement. Luminal A tumors might represent two distinct subsets which demonstrated distinct prognosis and therapy response.

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Year:  2011        PMID: 21837481     DOI: 10.1007/s10549-011-1709-6

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


  40 in total

1.  Role of maximum standardized uptake value in fluorodeoxyglucose positron emission tomography/computed tomography predicts malignancy grade and prognosis of operable breast cancer: a multi-institute study.

Authors:  Takayuki Kadoya; Kenjiro Aogi; Sachiko Kiyoto; Norio Masumoto; Yoshifumi Sugawara; Morihito Okada
Journal:  Breast Cancer Res Treat       Date:  2013-09-13       Impact factor: 4.872

2.  Immunohistochemical quantification of the vitamin B12 transport protein (TCII), cell surface receptor (TCII-R) and Ki-67 in human tumor xenografts.

Authors:  Annette M Sysel; Victor E Valli; Ray B Nagle; Joseph A Bauer
Journal:  Anticancer Res       Date:  2013-10       Impact factor: 2.480

3.  MELK kinase holds promise as a new radiosensitizing target and biomarker in triple-negative breast cancer.

Authors:  Carlos S Moreno
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

4.  Predictors of recurrence in breast cancer subtypes with negative lymph node in a Chinese population.

Authors:  Xia Liu; Yong Guan; Wei Zhang; Shan Liu; Junjun Liu; Li Wang; Yun Niu
Journal:  Int J Clin Exp Pathol       Date:  2014-05-15

5.  Relationship between chemotherapy and prognosis in different subtypes of node-negative breast cancer.

Authors:  Xia Liu; Yong Guan; Yahong Wang; Wei Zhang; Shan Liu; Li Wang; Junjun Liu; Yun Niu
Journal:  Tumour Biol       Date:  2014-05-27

6.  Clinicopathological Study of Triple Negative Breast Cancers.

Authors:  Gunadala Ishitha; Marie Therese Manipadam; Selvamani Backianathan; Raju Titus Chacko; Deepak Thomas Abraham; Paul Mazhuvanchary Jacob
Journal:  J Clin Diagn Res       Date:  2016-09-01

7.  Associations between sociodemographic and clinicopathological factors and breast cancer subtypes in a population-based study.

Authors:  Adana A M Llanos; Sheenu Chandwani; Elisa V Bandera; Kim M Hirshfield; Yong Lin; Christine B Ambrosone; Kitaw Demissie
Journal:  Cancer Causes Control       Date:  2015-09-16       Impact factor: 2.506

8.  An associated classification of triple negative breast cancer: the risk of relapse and the response to chemotherapy.

Authors:  Jing Zhang; Yahong Wang; Quangui Yin; Wei Zhang; Tongxian Zhang; Yun Niu
Journal:  Int J Clin Exp Pathol       Date:  2013-06-15

9.  Low expression of Beclin 1 and elevated expression of HIF-1α refine distant metastasis risk and predict poor prognosis of ER-positive, HER2-negative breast cancer.

Authors:  Min Dong; Xiang-bo Wan; Zhong Yu Yuan; Li Wei; Xin Juan Fan; Tian-tian Wang; Yan Chun Lv; Xing Li; Zhan-hong Chen; Jie Chen; Qu Lin; Jing-yun Wen; Xiao-kun Ma; Quentin Liu; Xiang Yuan Wu
Journal:  Med Oncol       Date:  2013-02-14       Impact factor: 3.064

Review 10.  Breast cancer subtypes: response to radiotherapy and potential radiosensitisation.

Authors:  F E Langlands; K Horgan; D D Dodwell; L Smith
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

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