Literature DB >> 26768030

Biomarker assessment and molecular testing for prognostication in breast cancer.

Zuzana Kos1, David J Dabbs2.   

Abstract

Current treatment of breast cancer incorporates clinical, pathological and molecular data. Oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) define prognosis and identify tumours for targeted therapy, and remain the sole established single-molecule biomarkers defining the minimum breast cancer pathology data set. Ki67 remains one of the most promising yet controversial biomarkers in breast cancer, implemented routinely in some, but not all, pathology departments. Beyond the single-molecule biomarkers, a host of multigene expression tests have been developed to interrogate the driver pathways and biology of individual breast cancers to predict clinical outcome more accurately. A minority of these assays have entered into clinical practice. This review focuses on the established biomarkers of ER, PR and HER2, the controversial but clinically implemented biomarker Ki67 and the currently marketed gene expression signatures.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  ErbB-2; breast; gene expression profiling; neoplasm; oestrogen; progesterone; prognosis; receptors; transcriptome

Mesh:

Substances:

Year:  2016        PMID: 26768030     DOI: 10.1111/his.12795

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  23 in total

1.  Elevated Hu-Antigen Receptor (HuR) Expression is Associated with Tumor Aggressiveness and Poor Prognosis but not with COX-2 Expression in Invasive Breast Carcinoma Patients.

Authors:  Constantinos Giaginis; Anastasia Sampani; Iolly Kotta-Loizou; Ioanna Giannopoulou; Eugene Danas; Ekaterini Politi; Gerasimos Tsourouflis; Gregorios Kouraklis; Efstratios Patsouris; Antonios Keramopoulos; Lydia Nakopoulou; Stamatios Theocharis
Journal:  Pathol Oncol Res       Date:  2017-08-14       Impact factor: 3.201

2.  Treg depletion potentiates checkpoint inhibition in claudin-low breast cancer.

Authors:  Nicholas A Taylor; Sarah C Vick; Michael D Iglesia; W June Brickey; Bentley R Midkiff; Karen P McKinnon; Shannon Reisdorf; Carey K Anders; Lisa A Carey; Joel S Parker; Charles M Perou; Benjamin G Vincent; Jonathan S Serody
Journal:  J Clin Invest       Date:  2017-08-21       Impact factor: 14.808

3.  Strong association of epidermal growth factor receptor status with breast cancer FDG uptake.

Authors:  Joohee Lee; Eun Jeong Lee; Seung Hwan Moon; Seokhwi Kim; Seung Hyup Hyun; Young Seok Cho; Joon Young Choi; Byung-Tae Kim; Kyung-Han Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-05-09       Impact factor: 9.236

4.  Clinical applications of mouse models for breast cancer engaging HER2/neu.

Authors:  Elizabeth A Fry; Pankaj Taneja; Kazushi Inoue
Journal:  Integr Cancer Sci Ther       Date:  2016-10-28

5.  Prognostic role of progesterone receptor expression in a population-based analysis.

Authors:  Adele Caldarella; Alessandro Barchielli
Journal:  J Cancer Res Clin Oncol       Date:  2017-09-09       Impact factor: 4.553

6.  Progressive polarity loss and luminal collapse disrupt tissue organization in carcinoma.

Authors:  Ruba Halaoui; Carlis Rejon; Sudipa June Chatterjee; Joseph Szymborski; Sarkis Meterissian; William J Muller; Atilla Omeroglu; Luke McCaffrey
Journal:  Genes Dev       Date:  2017-09-08       Impact factor: 11.361

7.  Soluble VE-cadherin in metastatic breast cancer: an independent prognostic factor for both progression-free survival and overall survival.

Authors:  Pauline Rochefort; Sylvie Chabaud; Jean-Yves Pierga; Olivier Tredan; Etienne Brain; François-Clément Bidard; Camille Schiffler; Helena Polena; Abir Khalil-Mgharbel; Isabelle Vilgrain; Thomas Bachelot
Journal:  Br J Cancer       Date:  2017-01-05       Impact factor: 7.640

8.  A retrospective prognostic evaluation analysis using the 8th edition of American Joint Committee on Cancer (AJCC) cancer staging system for luminal A breast cancer.

Authors:  Jingming Ye; Wenjun Wang; Ling Xu; Xuening Duan; Yuanjia Cheng; Ling Xin; Hong Zhang; Shuang Zhang; Ting Li; Yinhua Liu
Journal:  Chin J Cancer Res       Date:  2017-08       Impact factor: 5.087

9.  Glycoengineering of pertuzumab and its impact on the pharmacokinetic/pharmacodynamic properties.

Authors:  Cheng Luo; Song Chen; Na Xu; Chi Wang; Wen Bo Sai; Wei Zhao; Ying Chun Li; Xiao Jing Hu; Hong Tian; Xiang Dong Gao; Wen Bing Yao
Journal:  Sci Rep       Date:  2017-04-11       Impact factor: 4.379

Review 10.  A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response.

Authors:  Marcella Regina Cardoso; Juliana Carvalho Santos; Marcelo Lima Ribeiro; Maria Cecília Ramiro Talarico; Lais Rosa Viana; Sophie Françoise Mauricette Derchain
Journal:  Int J Mol Sci       Date:  2018-02-21       Impact factor: 5.923

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