Literature DB >> 18171419

Predictive markers in breast cancer--the present.

S J L Payne1, R L Bowen, J L Jones, C A Wells.   

Abstract

Breast cancer is a heterogeneous disease and there is a continual drive to identify markers that will aid in predicting prognosis and response to therapy. To date, relatively few markers have established prognostic power. Oestrogen receptor (ER) is probably the most powerful predictive marker in breast cancer management, both in determining prognosis and in predicting response to hormone therapies. Progesterone receptor (PR) is also a widely used marker, although its value is less well established. HER-2 status has also become a routine prognostic and predictive factor in breast cancer. Given the importance of these biological markers in patient management, it is essential that assays are robust and quality controlled, and that interpretation is standardized. Furthermore, it is important to be aware of the limitations in their predictive power, and how this may be refined through addition of further biological markers. The aim of this review is to provide an overview of the established role of ER, PR and HER-2 in patient management, the current standards for assessing these markers, as well as highlighting the controversies that still surround their use and methods of assessment.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18171419     DOI: 10.1111/j.1365-2559.2007.02897.x

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


  55 in total

1.  Analysis of cancer marker in tissues with Hadamard transform fluorescence spectral microscopic imaging.

Authors:  Hao Xu; Chuang Chen; Yue He; Hong-Wu Tang; Zhi-Ling Zhang; Yan Li; Dai-Wen Pang
Journal:  J Fluoresc       Date:  2015-02-07       Impact factor: 2.217

2.  PPARγ-mediated and arachidonic acid-dependent signaling is involved in differentiation and lipid production of human sebocytes.

Authors:  Aniko Dozsa; Balazs Dezso; Balazs I Toth; Attila Bacsi; Szilard Poliska; Emanuela Camera; Mauro Picardo; Christos C Zouboulis; Tamás Bíró; Gerd Schmitz; Gerhard Liebisch; Ralph Rühl; Eva Remenyik; Laszlo Nagy
Journal:  J Invest Dermatol       Date:  2013-10-15       Impact factor: 8.551

3.  Erythropoietin-producing hepatocellular A6 overexpression is a novel biomarker of poor prognosis in patients with breast cancer.

Authors:  Danmei Zhou; Kehan Ren; Jigang Wang; Hong Ren; Wenlin Yang; Wenjuan Wang; Qiong Li; Xiuping Liu; Feng Tang
Journal:  Oncol Lett       Date:  2018-02-01       Impact factor: 2.967

4.  Gli1 promotes cell survival and is predictive of a poor outcome in ERalpha-negative breast cancer.

Authors:  Lusheng Xu; Yeon-Jin Kwon; Natalya Frolova; Adam D Steg; Kun Yuan; Martin R Johnson; William E Grizzle; Renee A Desmond; Andra R Frost
Journal:  Breast Cancer Res Treat       Date:  2009-11-10       Impact factor: 4.872

5.  The prognostic importance of cathepsin D and E-cadherin in early breast cancer: A single-institution experience.

Authors:  Galia Jacobson-Raber; Irena Lazarev; Victor Novack; Willmosh Mermershtein; Yael Baumfeld; David B Geffen; Netta Sion-Vardy; Samuel Ariad
Journal:  Oncol Lett       Date:  2011-08-24       Impact factor: 2.967

6.  HspBP1 levels are elevated in breast tumor tissue and inversely related to tumor aggressiveness.

Authors:  Ana Paula Souza; Caroline Albuquerque; Carolina Torronteguy; Antonio Frasson; Fabio Maito; Luciana Pereira; Vinícius Duval da Silva; Felipe Zerwes; Deborah Raynes; Vince Guerriero; Cristina Bonorino
Journal:  Cell Stress Chaperones       Date:  2008-11-06       Impact factor: 3.667

7.  Mass spectrometry-based serum proteome pattern analysis in molecular diagnostics of early stage breast cancer.

Authors:  Monika Pietrowska; Lukasz Marczak; Joanna Polanska; Katarzyna Behrendt; Elzbieta Nowicka; Anna Walaszczyk; Aleksandra Chmura; Regina Deja; Maciej Stobiecki; Andrzej Polanski; Rafal Tarnawski; Piotr Widlak
Journal:  J Transl Med       Date:  2009-07-13       Impact factor: 5.531

8.  Nuclear expression of KLF6 tumor suppressor factor is highly associated with overexpression of ERBB2 oncoprotein in ductal breast carcinomas.

Authors:  Ricardo C Gehrau; Diego S D'Astolfo; Catherine I Dumur; José L Bocco; Nicolás P Koritschoner
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

9.  Risk of Parkinson's disease after tamoxifen treatment.

Authors:  Jeanne C Latourelle; Merete Dybdahl; Anita L Destefano; Richard H Myers; Timothy L Lash
Journal:  BMC Neurol       Date:  2010-04-12       Impact factor: 2.474

10.  tRNA over-expression in breast cancer and functional consequences.

Authors:  Mariana Pavon-Eternod; Suzanna Gomes; Renaud Geslain; Qing Dai; Marsha Rich Rosner; Tao Pan
Journal:  Nucleic Acids Res       Date:  2009-11       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.