Literature DB >> 23280579

Biomarkers for the clinical management of breast cancer: international perspective.

Neill Patani1, Lesley-Ann Martin, Mitch Dowsett.   

Abstract

The higher incidence of breast cancer in developed countries has been tempered by reductions in mortality, largely attributable to mammographic screening programmes and advances in adjuvant therapy. Optimal systemic management requires consideration of clinical, pathological and biological parameters. Oestrogen receptor alpha (ERα), progesterone receptor (PgR) and human epidermal growth factor receptor 2 (HER2) are established biomarkers evaluated at diagnosis, which identify cardinal subtypes of breast cancer. Their prognostic and predictive utility effectively guides systemic treatment with endocrine, anti-HER2 and chemotherapy. Hence, accurate and reliable determination remains of paramount importance. However, the goals of personalized medicine and targeted therapies demand further information regarding residual risk and potential benefit of additional treatments in specific circumstances. The need for biomarkers which are fit for purpose, and the demands placed upon them, is therefore expected to increase. Technological advances, in particular high-throughput global gene expression profiling, have generated multi-gene signatures providing further prognostic and predictive information. The rational integration of routinely evaluated clinico-pathological parameters with key indicators of biological activity, such as proliferation markers, also provides a ready opportunity to improve the information available to guide systemic therapy decisions. The additional value of such information and its proper place in patient management is currently under evaluation in prospective clinical trials. Expanding the utility of biomarkers to lower resource settings requires an emphasis on cost effectiveness, quality assurance and possible international variations in tumor biology; the potential for improved clinical outcomes should be justified against logistical and economic considerations.
Copyright © 2012 UICC.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23280579     DOI: 10.1002/ijc.27997

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  52 in total

Review 1.  Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine.

Authors:  Ashley G Rivenbark; Siobhan M O'Connor; William B Coleman
Journal:  Am J Pathol       Date:  2013-08-27       Impact factor: 4.307

2.  Modeling the estrogen receptor to growth factor receptor signaling switch in human breast cancer cells.

Authors:  Chun Chen; William T Baumann; Robert Clarke; John J Tyson
Journal:  FEBS Lett       Date:  2013-08-28       Impact factor: 4.124

3.  Estrogen receptor β2 is inversely correlated with Ki-67 in hyperplastic and noninvasive neoplastic breast lesions.

Authors:  Nuiki Iota Chantzi; Marina Palaiologou; Artemis Stylianidou; Nikos Goutas; Stamatis Vassilaros; Helen P Kourea; Eugen Dhimolea; Dimitra J Mitsiou; Dina G Tiniakos; Muichael N Alexis
Journal:  J Cancer Res Clin Oncol       Date:  2014-03-27       Impact factor: 4.553

4.  Identification of novel biomarkers associated with poor patient outcomes in invasive breast carcinoma.

Authors:  Renata A Canevari; Fabio A Marchi; Maria A C Domingues; Victor Piana de Andrade; José R F Caldeira; Sergio Verjovski-Almeida; Silvia R Rogatto; Eduardo M Reis
Journal:  Tumour Biol       Date:  2016-08-02

5.  The histone chaperone HJURP is a new independent prognostic marker for luminal A breast carcinoma.

Authors:  Rocío Montes de Oca; Zachary A Gurard-Levin; Frédérique Berger; Haniya Rehman; Elise Martel; Armelle Corpet; Leanne de Koning; Isabelle Vassias; Laurence O W Wilson; Didier Meseure; Fabien Reyal; Alexia Savignoni; Bernard Asselain; Xavier Sastre-Garau; Geneviève Almouzni
Journal:  Mol Oncol       Date:  2014-11-20       Impact factor: 6.603

6.  Vitamin D receptor gene ApaI polymorphism and breast cancer susceptibility: a meta-analysis.

Authors:  Shayang Luo; Lei Guo; Yan Li; Shouman Wang
Journal:  Tumour Biol       Date:  2013-09-19

7.  Organized screening detects breast cancer at earlier stage regardless of molecular phenotype.

Authors:  Claire M B Holloway; Li Jiang; Marlo Whitehead; Jennifer M Racz; Patti A Groome
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-16       Impact factor: 4.553

8.  Chromatin Regulators as a Guide for Cancer Treatment Choice.

Authors:  Zachary A Gurard-Levin; Laurence O W Wilson; Vera Pancaldi; Sophie Postel-Vinay; Fabricio G Sousa; Cecile Reyes; Elisabetta Marangoni; David Gentien; Alfonso Valencia; Yves Pommier; Paul Cottu; Geneviève Almouzni
Journal:  Mol Cancer Ther       Date:  2016-05-16       Impact factor: 6.261

9.  A kinetic model identifies phosphorylated estrogen receptor-α (ERα) as a critical regulator of ERα dynamics in breast cancer.

Authors:  Dan Tian; Natalia M Solodin; Prashant Rajbhandari; Kelsi Bjorklund; Elaine T Alarid; Pamela K Kreeger
Journal:  FASEB J       Date:  2015-02-03       Impact factor: 5.191

10.  Strong correlation between N-cadherin and CD133 in breast cancer: role of both markers in metastatic events.

Authors:  Carolin Bock; Christina Kuhn; Nina Ditsch; Regina Krebold; Sabine Heublein; Doris Mayr; Sophie Doisneau-Sixou; Udo Jeschke
Journal:  J Cancer Res Clin Oncol       Date:  2014-06-25       Impact factor: 4.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.