Literature DB >> 23782255

Molecular and clinicopathological markers of prognosis in breast cancer.

David P Boyle1, Clare M McCourt, Kyle B Matchett, Manuel Salto-Tellez.   

Abstract

A vast body of research in breast cancer prognostication has accumulated. Yet despite this, patients within current prognostic categories may have significantly different outcomes. There is a need to more accurately divide those cancer types associated with an excellent prognosis from those requiring more aggressive therapy. Gene expression array studies have revealed the numerous molecular breast cancer subtypes that are associated with differing outcomes. Furthermore, as next generation technologies evolve and further reveal the complexities of breast cancer, it is likely that existing prognostic approaches will become progressively refined. Future prognostication in breast cancer requires a morphomolecular, multifaceted approach involving the assessment of anatomical disease extent and levels of protein, DNA and RNA expression. One of the major challenges in prognostication will be the integration of potential assays into existing clinical systems and identification of appropriate patient subgroups for analysis.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23782255     DOI: 10.1586/erm.13.29

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  3 in total

1.  ADRA2A Germline Gene Polymorphism is Associated to the Severity, but not to the Risk, of Breast Cancer.

Authors:  Batoul Kaabi; Ghania Belaaloui; Wassila Benbrahim; Kamel Hamizi; Mourad Sadelaoud; Wided Toumi; Hocine Bounecer
Journal:  Pathol Oncol Res       Date:  2015-11-13       Impact factor: 3.201

2.  Screening of the prognostic targets for breast cancer based co-expression modules analysis.

Authors:  Huijuan Liu; Hui Ye
Journal:  Mol Med Rep       Date:  2017-07-21       Impact factor: 2.952

3.  Patient-derived scaffolds as a drug-testing platform for endocrine therapies in breast cancer.

Authors:  Anna Gustafsson; Elena Garre; Maria Carmen Leiva; Simona Salerno; Anders Ståhlberg; Göran Landberg
Journal:  Sci Rep       Date:  2021-06-25       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.